Psychiatric disorders such as schizophrenia and autism are characterised by cellular disorganisation and dysconnectivity across the brain and can be caused by mutations in genes that control neurodevelopmental processes. To examine how neurodevelopmental defects can affect brain function and behaviour, we have comprehensively investigated the consequences of mutation of one such gene, Semaphorin-6A, on cellular organisation, axonal projection patterns, behaviour and physiology in mice. These analyses reveal a spectrum of widespread but subtle anatomical defects in Sema6A mutants, notably in limbic and cortical cellular organisation, lamination and connectivity. These mutants display concomitant alterations in the electroencephalogram and hyper-exploratory behaviour, which are characteristic of models of psychosis and reversible by the antipsychotic clozapine. They also show altered social interaction and deficits in object recognition and working memory. Mice with mutations in Sema6A or the interacting genes may thus represent a highly informative model for how neurodevelopmental defects can lead to anatomical dysconnectivity, resulting, either directly or through reactive mechanisms, in dysfunction at the level of neuronal networks with associated behavioural phenotypes of relevance to psychiatric disorders. The biological data presented here also make these genes plausible candidates to explain human linkage findings for schizophrenia and autism.
Citation:Rünker AE, O'Tuathaigh C, Dunleavy M, Morris DW, Little GE, et al. (2011) Mutation of Semaphorin-6A Disrupts Limbic and Cortical Connectivity and Models Neurodevelopmental Psychopathology. PLoS ONE 6(11): e26488. doi:10.1371/journal.pone.0026488
Editor: Hitoshi Okazawa, Tokyo Medical and Dental University, Japan
Received: April 11, 2011; Accepted: September 28, 2011; Published: November 21, 2011
Copyright: © 2011 Rünker et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding:This work was supported by grants from Science Foundation Ireland to KJM (01/F1/B006; 07/IN.1/B969, 09/IN.1/B2614), JLW (07/IN.1/B960), DCH (08/IN1/B1875), and DWM (07/RFP/GENF327), and from the Health Research Board to KJM (RP/2007/207) and DCH (RP/2007/37). AER was supported by a postdoctoral fellowship from the Health Research Board (PD/2004/16). CO was supported by a postdoctoral fellowship from the Health Research Board (PD/2007/20). GEL has been supported by a Government of Ireland Scholarship, awarded by the Irish Research Council of Science, Engineering and Technology. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
There is compelling evidence that many psychiatric disorders have their origins in disturbed neurodevelopment , , . Widespread cellular disorganization as well as long-range structural dysconnectivity in schizophrenia (SZ) , , , bipolar disorder (BD) , ,  and autism spectrum disorders (ASD) , , , ,  are consistent with primary defects in cell migration, axon guidance and/or synaptogenesis in many brain areas. These findings are also consistent with symptoms in these disorders across many psychological domains and brain systems (cognitive, affective, social, motor and perceptual). There is considerable shared genetic risk across these disorders , , , as well as epilepsy ,  and mental retardation . These disorders can be caused by single mutations in any of a large number of loci , , , , , and many of the putatively causal mutations predispose to more than one disorder . Strikingly, many of the genes implicated have crucial roles in neurodevelopmental processes , , , , , . These various disorders may thus represent more or less distinct phenotypic endpoints arising from common neurodevelopmental insults.
Collectively, the genes so far identified explain only a small fraction of disease cases. Evolutionary genetic theory suggests there must be many such genes that can be mutated to cause disorders such as SZ, in order to maintain the high prevalence of the disorder in the face of strong negative selection , . Other neurodevelopmental genes are thus good a priori candidates to contribute to the etiology of psychiatric disorders.
From this perspective, genes in the semaphorin and plexin families emerge as promising candidates . The transmembrane semaphorin Semaphorin-6A (Sema6A) interacts with the transmembrane proteins Plexin-A2 and Plexin-A4, and, along with Sema6B, these proteins co-ordinately control axon guidance , , laminar connectivity , , , neuronal migration ,  and dendrite development . Mutation of Sema6A results in widespread but subtle derangements of cytoarchitecture and neuronal connectivity in various parts of the brain , , , , , , , .
Semaphorin genes have been previously implicated in psychiatric disorders. In humans, variants in PLXNA2 , ,  have been associated with risk for SZ and variants in SEMA6A with risk for ASD . Furthermore, alterations in expression levels of multiple semaphorins, plexins or semaphorin signalling proteins have been observed in the cortex of post mortem schizophrenia ,  or autism  patient brains ,  and in animal models of NMDA-receptor blockade , which model psychosis in humans.
In this paper, we provide a comprehensive survey of neuroanatomical defects in Sema6A mutant mice, which include previously unreported limbic and cortical cellular disorganisation and dysconnectivity. Some of these changes resemble the reported neuropathology in ASD and SZ. We also characterise these animals ethologically and in a broad panel of behavioural tests and analyse global neural activity patterns using electroencephalography. We find that Sema6A mutants display electrophysiological and behavioural phenotypes that phenocopy some of the defects observed in accepted animal models of SZ and that can be reversed by antipsychotics. We consider these results in light of association and linkage findings in humans for loci encoding SEMA6A and interacting proteins.
Neuroanatomical phenotypes in Sema6A mutant mice
As neurodevelopmental mutations typically affect multiple brain regions, any of which might contribute to behavioural or physiological phenotypes in mice or to the broad array of symptoms in humans, we set out to comprehensively characterize the anatomical defects across the brain due to Sema6A mutation. We were particularly interested, however, in areas most strongly implicated in the psychopathology of psychiatric disorders, including the prefrontal cortex and limbic system, which had not been previously investigated in these mutants.
The prefrontal cortex in rodents encompasses the agranular insular cortex, the orbitofrontal cortices and some of the cingulate cortices . Some neurons in these areas normally send axons to the opposite hemisphere across the posterior limb of the anterior commissure (pAC). In embryonic (E16–17.5, n = 3, not shown) and newborn (postnatal days (P)0–2, n = 9) Sema6A homozygous mutants, all axons of the pAC project ventromedially rather than medially and fail to cross the midline (Figure 1A,B). Many misrouted pAC axons can be found in adult Sema6A−/− mice (n = 5, Figure 1C,D), where they extend into the hypothalamus and septum (Figure 1E–I). Retrograde tracing of pAC axons in homozygous mutant animals also reveals that the cell bodies of these neurons are ventrally misplaced and located within piriform, rather than insular cortex, where they are observed in control animals (Supporting Information S1).
We visualized pAC projections using the placental alkaline phosphatase (PLAP) marker encoded in the Sema6A mutant allele . During development, PLAP is expressed in the neurons that form the pAC (Figure 1A, B), while in adults, the PLAP marker is expressed by oligodendrocytes and thus labels all myelinated axons (Figure 1C, D). In newborn Sema6A−/− mice (B), the PLAP-stained pAC axons travel ventrally into hypothalamic areas and fail completely to cross the midline as seen in Sema6A+/− mice (A). Such misrouted pAC axons are still present in adult Sema6A−/− brains (C, compare with Sema6A+/− in D) and can be found through extended levels of the caudo-rostral axis within inappropriate regions, such as the septum (E-I, arrowheads). The aAC and stAC are normal in young and adult Sema6A−/−.a/p/stAC: anterior/posterior/stria terminalis arm of the anterior commissure; Pir: piriform cortex; Scale bar in (A) is for (A, B), in (C) is for (C, D), and in (E) is for (E–I): 500 µm.
Piriform cortex and olfactory structures.
Staining for PLAP, Nissl, or with anti-NeuN antibodies at various ages highlighted a dramatic change in morphology of the piriform cortex in Sema6A homozygous mutants. This three-layered structure receives direct input from the olfactory bulb and connects reciprocally with prefrontal cortex and many other structures . In Sema6A mutants, the folding of the piriform cortex, most readily visualized in the densely packed cells of layer 2, is greatly exaggerated and is evident far further caudally than normal (Figure 2A, B; see also Figure 1A–D and 2G–N). In addition, axons from the lateral olfactory tract (LOT), which normally extend very superficially along the surface of the piriform cortex (Figure 2C, G–I) are displaced internally in Sema6A mutants at E16.5 (Figure 2E, F) and in adulthood (Figure 2K–N) and also extend considerably further caudally (Figure 2D, F, and I–N).
(A, B) NeuN-immunohistochemistry of coronal P10 brains sections demonstrates a greatly exaggerated folding of the piriform cortex in Sema6A−/− (B), compared to Sema6A+/− mice (A). (C–F) E16 Sema6A+/− (C, D) and Sema6A−/− (E, F) brain sections immunostained for L1 (green) to label all fibres and for Neuropilin-1 (NP-1) to label more specifically LOT axons. In Sema6A−/− mutants, the L1/NP-1 double-stained LOT (yellow) appears rounded and more embedded into layer 1 of the piriform cortex (E) in contrast to a superficially located LOT in Sema6A+/− mice (C). In addition, the LOT extends far further caudally than normal (compare F and D). (G–N) Series of PLAP-stained adult brain sections, showing persistence of a more rounded and displaced LOT (arrowheads) that extends further caudally in Sema6A−/− mutants (K–N) when compared with Sema6A+/− mice (G–J). Note also that adult Sema6A−/− mutants show an exaggerated folding of the pirifom cortex, which extends far caudally. Ia: agranular insular cortex; lot: lateral olfactory tract; Pir: piriform cortex. Scale bar in (A) is for (A, B): 200 µm; in (C) is for (C–D): 100 µm; in (G) is for (G–N): 500 µm.
Staining with Nissl, anti-NeuN antibodies or DAPI also revealed a defect in the cellular organisation of the neocortex (n = 14 in total; adult: Nissl, n = 4; DAPI, n = 5; NeuN, n = 3; P10: NeuN, n = 2). In Sema6A−/− animals, the normally distinct border between layers 1 and 2 is difficult to distinguish, as many neurons from layers 2/3 invade into the normally cell-sparse neuropil of layer 1 (Figure 3A, B). This defect is not evident at late embryonic stages (E16.5–E17.5) but can be observed from P3 onwards (data not shown).
NeuN-immunostaining of coronal sections of adult Sema6A+/− (A, A1–3) and Sema6A−/− (B, B1–3) mouse brains in overview (A, B) and detailed view (A1–3, B1–3; position in A, B is indicated as boxes). While the border between layers 1 and 2 of the neocortex is sharply visible in Sema6A+/− animals (A1–3), it is largely obliterated in Sema6A−/− mutants (B1–2), and the neuropil of layer 1 appears infiltrated by neurons from deeper layers with a gradient in severity from lateral to medial (B). Laterally, many ectopic neurons form repetitive clusters (asterisks in B1) bordered by neuropil. More medially these neurons are more loosely scattered within the neuropil over a considerable depth (arrowheads in B2, B3). 1–6: Cortical layers 1 to 6. Au: auditory area; S1: primary somatosensory area; PtA: parietal association area. Scale bar in (A) is for (A, B): 500 µm; in (A1) is for (A1–3,B1–3): 200 µm.
We performed antibody staining for NeuN, a marker of mature neurons, and Prox1, a marker for postmitotic granule cells in the hippocampal dentate gyrus, on brain sections at P10 (Figure 4A–F). In Sema6A−/− mice, we found a subtle but consistent malformation of the infrapyramidal (lower) blade of the dentate gyrus. At the tip of this blade, many misplaced Prox1-positive granule cells were observed, producing a broadened or forked appearance of the tip. In addition, isolated ectopic granule cells were frequently observed within the molecular layer on the infrapyramidal side, some close to the ventricular wall (Figure 4D–F, arrows). These misplaced cells persist in the adult (Figure 4G–J).
(A–F) Immunohistochemistry for NeuN (A, D; green, neurons) and Prox1 (B, E; red, dentate granule cells; overlay in C and F) on coronal brain sections from P10 Sema6A+/− (A–C) and Sema6A−/− (D–F) mice. Sema6A−/− mice show a broadening of the granule cell layer at the tip of the infrapyramidal blade of the dentate gyrus as well as more isolated clusters of ectopic granule cells at the surface of the molecular layer of the same blade (arrows in D–F). (G–H) Overlays of NeuN- (green) and Prox1- (red) immunostained adult brain sections of Sema6A+/− (G) and Sema6A−/− (H–J). Similarly distributed ectopic granule cells (arrows in H–J) are still present in the adult dentate gyrus. (K–L) PLAP-stained adult brain sections showing a reduced and defasciculated fornix (Fx) in Sema6A−/− (L, left fornix) compared with Sema6A+/− mice (K). The fornix is significantly reduced in size by 20% (M; p<0.05) and is significantly less compact (N; measured as the ratio of actual and circular perimeter; p<0.01) in Sema6A−/− (n = 10) compared to Sema6A+/− mice (n = 8). Error bars in (M, N) represent ± SD; *: significant. Dots plotted on the right of columns in (N) are individual data points. Scale bar in (A) is for (A–F), in (G) is for (G–J), and in (K) is for (K, L): 200 µm.
We also observed defects in long-range connectivity of the hippocampus. In Sema6A mutants, the post-commissural fornix is often defasciculated and reduced in size, sometimes containing far fewer axons than normal. This phenotype is quite variable, even from one side of the brain to the other (Figure 4K, L). On average, the cross-sectional area of the fornix was significantly reduced (p<0.05, T-Test, Figure 4M) to 83.7% (±9 vs. 100% ±17.0 in Sema6A+/−), as was the degree of compactness (measured by the ratio of actual vs. circular perimeter: 2.53±0.66 in Sema6A−/− vs. 1.82±0.08 in Sema6A+/−; p<0.01, T-Test, Figure 5N).
(A) Representative bilateral cortical EEG traces from Sema6A−/− and Sema6A+/− animals in spontaneous, freely moving conditions. (B) Quantification of total spectral power in Sema6A+/− (n = 3) and Sema6A−/− (n = 4) animals, p<0.005. (C) Quantification of relative power of spectral bands in Sema6A+/− (n = 7) and Sema6A−/− (n = 8); a significant increase in the alpha band was observed p<0.001. (D) Increase in relative power in the alpha band in Sema6A−/− is reversed by administration of clozapine, p<0.05. No significant effect of clozapine on alpha power in Sema6A+/− animals was observed (n = 4 for all groups). Clozapine at this dose did not affect the other spectral power bands in either genotype (not shown). *p<0.05; ns: non-significant. Error bars represent ± SEM.
With the exception of the defect in the fornix and some aspects of the previously reported corticospinal tract defect , all the anatomical phenotypes we observe are fully penetrant (i.e., observable qualitatively across all mutant animals analysed).
Alterations in cortical physiology
We used scalp electroencephalography to examine general levels of cortical activity in Sema6A mutants. Sema6A−/− animals showed a greater spectral density (total power) than Sema6A+/− mice (42,200±5,668, n = 4 vs. 20,010±6,671 µv/Hz, n = 3, respectively; Figure 5A,B) in a cortical electroencephalograph (EEG). Spectral analysis revealed a significant and specific increase in power in the alpha band (8–13 Hz; p<0.001) in Sema6A−/− compared to Sema6A+/− animals (Figure 5C). Administration of clozapine (0.25 mg/kg) resulted in normalisation of alpha power to levels comparable to heterozygous controls (Figure 5D), which showed no significant effect of clozapine on alpha power.
We set out to characterise, in an unbiased fashion, the behavioural consequences of mutation of Sema6A, using a broad panel of behavioural tests, along with ethological observation in the home cage environment.
Analysis of gait in Sema6A−/− mutants revealed a significantly shorter hind stride length in Sema6A−/− mice relative to wild-type (WT or Sema6A+/+) controls (Figure 6A; genotype: F2, 39 = 3.24, P<0.05, Figure 6A). A marginally significant increase in hind/front overlap was also observed in Sema6a−/− mice (Figure 6B; genotype: F2, 33 = 2.89, p = 0.07), as well as a mean decrease in front stride length (WT vs. Sema6A−/−: 3.3 cm±0.15 vs. 3.16±0.07) and hind base width (WT vs. Sema6A−/−: 2.61 cm±0.10 vs. 2.38±0.07), although neither of these differences were statistically significant (Figure 6A; p>0.05). Examination of grip strength during the wire hang suspension task failed to reveal any genotypic differences (p>0.05, not shown).
(A) Gait analysis indicated significantly shorter hind-stride length in Sema6A−/− mutants compared to controls (p<0.05). (B) There is a trend towards decreased hind-front overlap in Sema6A−/− mutants (p = 0.07). (C) Sema6A−/− mutants displayed increased number of ambulatory counts in the open-field over a six-hour period (n = 20 per genotype; p<0.05). (D) Sema6A−/− mutants demonstrated increased exploratory behaviour in the open-field, as indexed by greater distance travelled over a six-hour period (p<0.05). (E) Clozapine (0.25 mg/kg) significantly reversed the hyper-exploratory phenotype in Sema6A−/− mutants without altering exploration in controls (n = 8 per treatment with vehicle or drug, and per genotype; p<0.05). (F) MK-801-induced hyperlocomotion (0.2 mg/kg) did not differ across the genotypes (n = 8 per treatment with vehicle or drug, and genotype). *p<0.05, **p<0.01; ns: non-significant. Error bars represent ± SEM.
Examination of open-field exploratory locomotor activity in Sema6A−/− mice revealed a hyperactive phenotype in both sexes, as indexed by significant increases in activity counts (Figure 6C; genotype: F2, 46 = 4.78, p<0.05) and distance travelled (Figure 6D; genotype: F2, 46 = 5.65, p<0.05) over a 6-hour observation period. Relative habituation of exploration to the novel environment did not differ between genotypes (genotype×hours interaction: F10, 230 = 1.02, p = 0.429). Ethologically-based assessment of exploratory behaviours in a novel environment (the ethogram ) revealed significant increases in locomotion and rearing in mutants relative to controls (data not shown and Figure 7I). Prior treatment with the antipsychotic clozapine (0.25 mg/kg) reversed the hyper-exploratory phenotype in Sema6A−/− mice (Figure 6E; genotype×drug interaction: F 4, 67 = 3.37, p<0.05) to a level indistinguishable from wild-type littermate control mice treated with vehicle or clozapine. Treatment with haloperidol (0.5 mg/kg) reduced control activity count values somewhat, though not significantly (from 2526+/−284 (SEM) in 8 vehicle-treated animals, to 1637+/−545 in 7 haloperidol-treated animals, p = 0.16), but completely reversed the hyperlocomotion in Sema6A mutants (from 5116+/−837 to 1556+/−192, n = 8 and 7, respectively, p<0.01). The NMDA-receptor antagonist MK-801 (0.2 mg/kg) stimulated locomotor activity in both Sema6A−/− mice and controls, with no treatment-genotype interaction; additionally, Sema6A−/− mice did not show any differential responsiveness to a subthreshold dose of MK-801 (0.05 mg/kg) relative to controls (Figure 6F; genotype×drug treatment interaction; F4, 56 = 0.67, p>0.05). Heterozygous animals were not significantly different from wild-type in gait or locomotion tests.
(A) In the novel object recognition task, Sema6A−/− mutants demonstrated increased absolute levels of exploration of a novel object at both retention intervals (1 hr, 4 hr; WT: n = 9, Sema6A−/−: n = 8; p<0.05). (B) Sema6A−/− mutants displayed a disruption in novel object recognition memory, as indexed by decreased relative preference to explore the novel object at the 1-hr retention interval, when compared to controls (p<0.05). No interaction with sex was observed for either of these effects. NOR performance at the 4-hr retention interval did not differ from chance (50%) across the genotypes. (C) Spontaneous alternation test of working memory revealed a sex-specific deficit in working memory performance in Sema6A−/− males (n = 8), as indicated by a decrease in percent alternation, relative to controls (n = 10; p<0.01). (D) A hyper-exploratory phenotype of male Sema6A−/− mutants was demonstrated by increase in number of overall arm entries in the alternation task relative to controls (p<0.05). (E) In the elevated plus maze test of anxiety, male Sema6A−/− mutants exhibit decreased anxiety as measured by an increase in the number of open arm entries (WT: n = 10 Sema6A−/−: n = 9; p<0.05). (F) Sema6A−/− mutants demonstrate an increase in number of overall arm entries in the elevated plus maze relative to controls (p<0.01). (G) Sema6A−/− mutants of both sexes (n = 19) exhibited decreased anxiety in the marble burying task, as indicated by a decreased number of marbles buried compared to controls (n = 22 WT, 19 Sema6A−/−; p<0.05). (H) Assessment of social interaction with a novel conspecific revealed a decrease in duration of time spent engaged in walkover behaviours (p<0.05) in Sema6A−/− mutants (n = 11) relative to controls (n = 9). (I) Sema6A−/− mutants displayed an increase in number of anogenital sniffing (p<0.05) and decrease in walkover (p<0.01) episodes relative to controls. An increase in general exploration of the novel environment was also observed (wall and free rearing). Error bars represent ± SEM.
Recognition memory was examined in the Novel Object Recognition (NOR) paradigm. Sema6A−/− mice demonstrated increased exploration of both objects relative to wild-type controls during the sample phase (WT vs. Sema6A−/−: t14 = 2.16, p = 0.05) and during test 1 (Figure 7A; WT vs. Sema6A−/−: t14 = 2.19, p<0.05). Sema6A−/− mice evidenced impairment in the NOR task, as indexed by decreased exploration of the novel object compared to the familiar object at the 1-hr retention interval (Figure 7B; WT vs. Sema6A−/−: t14 = 2.18, p<0.05). Sema6A−/− mice were also examined for spatial working memory in the spontaneous alternation task. Impaired performance, as indicated by decreased alternation across the three arms of the Y maze, was observed in male Sema6A−/− mice relative to wild-type controls (Figure 7C; t16 = 2.98; p<0.01). This was accompanied by an increase in total number of arm entries, a measure of activity levels in this task (WT vs. Sema6A−/−: t16 = 2.85, p<0.05). These effects were not observed in females.
Emotionality and anxiety-related behaviour were examined in Sema6A−/− mice in the elevated plus maze. Male Sema6A−/− mice demonstrated decreased anxiety, as evidenced by increased percent time spent in the open arms relative to the enclosed arms of the maze (Figure 7E; WT vs. Sema6A−/−: t18 = 2.36, p<0.05). The hyperactive phenotype of Sema6A−/− mice was also evident in this measure, in terms of an increased number of overall arm entries vs. wild-type controls for both sexes (Figure 7E; genotype: F2, 57 = 10.304, p<0.0001). No falls from the open arms of the maze were noted for WT or Sema6A−/− animals, indicating no effect of genotype on overall sensorimotor function in this task. When tested in an alternative assay of anxiety, marble-burying behaviour, both male and female Sema6A−/− mice demonstrated an anxiolytic phenotype, as measured by fewer marbles buried, relative to wild-type controls (Figure 7G; t39 = 2.17, p<0.05).
Social interaction, including various affiliative and agonistic behaviours, was assessed in Sema6A−/− and wild-type controls by placing them with an unfamiliar age-, sex-, and weight-matched C57/BL6 mouse in a novel environment. Sema6A−/− mice displayed increased social sniffing episodes towards an unfamiliar mouse relative to controls (Figure I; genotype: F2, 29 = 7.403, p<0.05). This increase in social investigative behaviour was accompanied by a decrease in walkover episodes (genotype: F2, 29 = 7.403, p<0.01) and walkover time (genotype: F2, 29 = 4.33, p<0.01) compared to control mice, indicating a reduction in social dominance-related behaviour (Figure 7H and I).
The results described above implicate Sema6A in the control of neurodevelopmental processes across the brain, including novel and important functions in the developing hippocampus and cortex. Convergent findings from physiological, behavioural and pharmacological experiments also suggest that the neurodevelopmental defects observed in Sema6A mutants result in endophenotypes that parallel some aspects of psychiatric disorders.
Our findings extend the functions of Sema6A in cell migration to various areas of the brain, including the hippocampus, piriform cortex and neocortex. They also extend its role in axon guidance to the lateral olfactory tract, anterior commissure and fornix. A new trend that is apparent is the role of Sema6A in restricting neuronal cell bodies from areas of neuropil and in the organisation of distinct tracts within neuropil. One interesting question is how this disorganisation or misrouting of axons affects connectivity. For the axons of the posterior limb of the anterior commissure it is clear that they are misrouted into the ipsilateral hypothalamus and septum but we have not ascertained whether they make functional connections there; they clearly do not make functional connections with their normal targets in the contralateral hemisphere. Analysis of the connectivity of misplaced cells in the cortex and hippocampus will require electrophysiology at the microcircuit level (e.g., ).
Our focus in this paper is not on the primary functions of Sema6A in these processes, however, nor on using these phenotypes to understand how Sema6A works in neural development. These questions have previously been addressed in many different areas of the developing nervous system , , , , , , , . Our interests here are in cataloguing the spectrum of anatomical defects in these mutants and examining their combined effects on the functioning of the nervous system, as assessed at the physiological and behavioural levels, in order to explore the possible relevance of such effects to the etiology of neurodevelopmental disorders in humans. It is important to note that Sema6A may also have additional functions in adults, in synaptic plasticity or related processes, for example, which could also contribute to the physiological and behavioural phenotypes we observe.
We consider the phenotypes observed in Sema6A mutants in the context of what is known of the neuropathology, pathophysiology and pharmacology of psychiatric disorders, especially SZ and ASD. Given that each of these diagnostic categories most likely represents a collection of disorders with diverse etiologies, these comparisons are necessarily general. We also compare the defects observed here to those seen in mouse mutants of validated psychiatric disease genes or non-genetic models of psychiatric disorders.
Comparison with the pathology of psychiatric disorders
Neuropathological studies of post mortem brains of SZ patients provide evidence for variable and subtle cytoarchitectural disturbances in cell positioning, packing, density and size in various parts of the brain, most notably the prefrontal cortex, hippocampal formation , thalamus  and cerebellum , . A general comparison with the phenotypes observed in Sema6A mutants suggests at least a qualitative similarity, with small numbers of misplaced cells in various brain regions. For example, misplaced clusters of neocortical layer 2 cells and ectopic neurons in the white matter have been repeatedly observed in post mortem brains of SZ patients , .
In ASD, neuropathological studies have similarly highlighted a number of aberrations in the cellular organization of the cortex . These include irregular lamination, ectopic neurons in layer 1 (the molecular layer) and in the white matter and irregular clumping of neurons in the grey matter , , , implicating a primary defect in cortical cell migration. Ectopic granule cells have also been observed in the molecular layer of the dentate gyrus and of the cerebellum , both of which we also observe in Sema6A mutants (this study and ). It should be noted that for both SZ and ASD, no single phenotype is seen in all cases, presumably reflecting the underlying heterogeneity of genetic causes , .
Despite the expected phenotypic heterogeneity, diffusion-weighted neuroimaging studies have yielded broadly consistent findings of dysconnectivity in limbic, thalamocortical and intracortical tracts in SZ and BD , , , , , , , , some of which parallel those in Sema6A mutants remarkably closely (this study and ). These include a well-replicated disorganization and reduction in the cross-sectional area of the fornix , , , which has been quantitatively correlated with impairment on several memory tasks , , . Similar analyses in ASD also reveal widespread alterations in structural connectivity .
Pathology in SZ and ASD also extends to motor and sensory systems, consistent with symptoms in these domains . Implicated motor systems include the cerebellum , ,  and corticospinal tract , , where we have previously described defects in Sema6A mutants , . The abnormalities in gait that we report here may reflect disrupted cellular organisation in the cerebellum . Deficits in early visual processing in SZ patients  are consistent with well-replicated observations of reduced connectivity between lateral geniculate nucleus and primary visual cortex , , ,  and a reduction in the size of primary visual cortex , both of which are observed in adult Sema6A mutants .
Behavioural phenotypes and alteration in cortical physiology
Sema6A mutants display robust hyper-exploratory behaviour and hyperlocomotion, both of which are seen across multiple test environments. Detailed analysis of the ethogram, which evaluates the naturalistic behavioural repertoire, shows that this hyperactivity is not accompanied by an increase in stereotypic behaviours but reflects both increased locomotion and increased exploration, thus implicating motivational as well as motor systems.
Hyperlocomotion is arguably the most consistently observed phenotype across many genetic, surgical or pharmacological preclinical models of SZ , , , , , , including mutants in DISC1 , , , Nrg1  and NPAS3 , ventral hippocampal lesion models  and chronic or acute treatment with NMDA-receptor blockers ,  or amphetamine , , , , , , both of which can induce psychotic states in humans. Importantly, the hyperlocomotion in Sema6A mutants, as in these other models, is reversible by treatment with antipsychotics, demonstrating the predictive validity of this phenotype as a model for psychosis and differentiating it from hyperlocomotion induced by drugs such as nicotine.
Most of these animal models are also characterised by a hyperdopaminergic state , , , , . This is highly congruent with findings in humans where a psychotic state is associated with an increase in dopamine release and/or responsiveness . Alterations in dopamine signalling may thus represent a final common pathway to psychosis, one which can be induced through a wide variety of insults , , .
The amphetamine sensitisation model, which directly alters dopaminergic signalling and which is well accepted as a model of psychosis , , is also characterised by an EEG phenotype that is highly similar to that observed here in Sema6A mutants – namely, a selective increase in alpha power . Similar results have been reported in a number of other animal models with a hyperdopaminergic state , , .
These comparisons thus suggest that both the hyperactivity and the EEG phenotype in Sema6A mutants may be associated with alterations in dopaminergic signaling. The fact that both are reversible by antipsychotics that target D1 and D2 receptors is highly consistent with such a hypothesis. We have not, however, observed significant differences in Sema6A mutants in tonic dopamine levels or in the abundance of D2 receptors in striatum or prefrontal cortex (Supporting Information S1). Nevertheless, it remains possible that there is increased acute release of or response to dopamine under certain conditions, as seen in DISC1 mutants, for example  or altered levels of specific isoforms of D2 receptors that we have not assayed . We note that early disruptions to hippocampal circuitry are known to induce circuit-level homeostatic mechanisms altering dopaminergic tone or responsiveness in the prefrontal cortex and striatum , . Whether the defects we observe in hippocampal circuitry in Sema6A mutant mice could be having such an effect will require further investigation. It is also possible that these phenotypes are caused by disturbances in other systems that can be compensated for by altering dopaminergic signalling.
Sema6A mutants also display some evidence for cognitive phenotypes, including deficits in working memory and novel object recognition , . Impairment in spatial working memory is considered a core cognitive deficit in SZ , and is observed in many relevant animal models . The fact that the working memory defect is only evident in males indicates that this defect is not simply a result of increased locomotor activity, which is seen in both sexes in this and other tests. However, further examination of working memory processes using more complex maze task variants are required to characterize the nature and severity of this putative deficit.
Defects in novel object recognition can be induced by NMDA-R blockers or by methamphetamine sensitisation  and NOR is considered a valid animal model of human declarative memory , which is frequently impaired in SZ. A deficit in this test could alternatively arise due to altered salience. This would be consistent with the increased exploration of both known and novel objects that we observe in Sema6A mutants. Though speculative, the latter explanation would also fit with a model of hyperdopaminergia , which is linked to salience-related effects in humans with psychosis , .
Sema6A mutants show an anxiolytic profile across two measures of anxiety-related behaviour, which cannot be explained with reference to the observed hyper-exploratory phenotype. Mice mutant for the Sema3E gene also demonstrate reduced anxiety in the elevated plus maze, which may be attributable to a defect in the fornix of these animals , suggesting a similar possible explanation in Sema6A mutants. The effect on anxiety in Sema6A mutants is particularly interesting in light of the strong association of PLXNA2 variants with anxiety in humans .
Links to the etiology of psychiatric disorders in humans
The phenotypic spectrum described here suggests that mutations in SEMA6A in humans would likely result in a psychiatric presentation of some sort. SEMA6B, PLXNA2 and PLXNA4 are similarly implicated by virtue of their biochemical and genetic interactions and overlapping spectrum of anatomical phenotypes when disrupted , , , , , , . Though no discrete mutation in any of these genes has yet been discovered in human patients, there is convergent evidence implicating either their chromosomal regions or common polymorphisms in the genes themselves.
SEMA6A falls in one of the best-replicated linkage peaks for SZ, on 5q23, first discovered in Irish families , . A study using dense mapping in extended Swedish pedigrees identified a haplotype inherited identical by descent in the 5q23.1 region, segregating in individuals diagnosed with SZ . This haplotype is restricted to a 6.8 Mbp region, which encompasses sixteen genes, one of which is SEMA6A. Rare deletions of the 5q23 region, which include the SEMA6A locus, have been found in patients with mental retardation and SZ , , .
PLXNA2 is also located in a tightly replicated linkage peak for SZ and for periodic catatonia at 1q32.2 , , . In addition, both SEMA6B and PLXNA4 fall near the maxima of very tightly defined linkage peaks for autism, derived from multiplex pedigrees, on 19p13.3  and 7q32.2 , respectively. Given the phenotypes described above, these genes are plausible candidates to underlie these linkage findings.
PLXNA2 also emerged as the top candidate from a whole-genome case-control association analysis of SZ in a population of European descent . This result was replicated in several independent samples , , though not in all populations , , . Nevertheless, a comprehensive meta-analysis ranked PLXNA2 among the top SZ risk-associated genes . SEMA6A has been recently associated with ASD, in a novel genome-wide association analysis method .
We have replicated evidence for an association of PLXNA2 variants and SZ risk in a case-control study from the Irish population, though only at a statistically suggestive level (Supporting Information S1). We also found suggestive evidence for an association with variants in SEMA6A and SEMA6B and a stronger epistatic interaction between the associated variants in PLXNA2 and SEMA6B (Supporting Information S1). Biological epistatic interactions between these genes have been documented in the control of hippocampal connectivity in mice , highlighting the plausibility of such an interaction. Given the effect sizes and p-values, the associations we observe may be false positives. If real, they could represent either a small effect of a common variant on risk in individuals or a larger effect of a linked, but more highly penetrant mutation that is much rarer in the population . Such mutations would be difficult to detect in large-scale genome-wide association studies that combine samples across populations. Whether disease-causing variants in these genes exist in human populations will thus require further investigation.
In summary, we present evidence that mutation of the Sema6A gene results in widespread defects in cellular organisation and axonal projections, some of which resemble those reported in ASD and SZ. This demonstrates that this kind of neuropathology can arise directly from mutations in a gene controlling cell migration and axon guidance. We also show that these mutants display a behavioural and physiological profile with similarities to accepted animal models of SZ, particularly the positive symptoms of psychosis. We do not propose that these mutants provide a model for SZ or ASD as a whole. These disorders are so heterogeneous that it is unlikely that any single mutant mouse or even any individual human patient could model the entire spectrum of either of these diseases. However, Sema6A mutants may provide an informative model to investigate how defects in neurodevelopmental processes, can, through either primary or reactive mechanisms, cause neuronal network and circuit dysfunction and ultimately result in a specific profile of behavioural deficits of relevance to psychopathology in humans. Given these findings, SEMA6A and the genes encoding interacting proteins become interesting candidates to explain some of the linkage findings for SZ, BD and ASD in their respective chromosomal loci.
Materials and Methods
All animal procedures were performed in accordance with the European Communities Council Directive (86/609/EEC). Those carried out at Trinity College were reviewed and approved by the Trinity College BioResources Committee under license B100/3527 (licence holder: KJM) from the Department of Health, Dublin, Ireland. Those carried out at the Royal College of Surgeons in Ireland were approved by the Research Ethics Committee of the Royal College of Surgeons in Ireland REC 092 REC205A and were conducted under licenses B100/759 (licence holder: JLW), B100/962 (licence holder: CO'T) and B100/3248 (licence holder: MD) from the Department of Health and Children.
Genotyping of Sema6A mice was carried out as previously described .
PLAP staining was carried out as previously described , as were tracings with lipophilic DiI and immunhistochemistry . The following antibodies were used: rat anti-L1 (Chemicon), mouse anti-NeuN (Chemicon), goat anti-Neuropilin-1 (R&D Systems), rabbit anti-Prox1 (Chemicon).
EEG recordings and analyses were carried out essentially as described . There was no significant difference in weights between Sema6A homozygotes and heterozygotes. Female mice were anesthetized using isoflurane (5% induction, 1–2% mainenence in O2). Mice were placed in a stereotaxic frame (David Kopf Instruments, CA, USA) and body temperature maintained at 37±0.5°C by means of a homeostatic blanket and heat lamp (Harvard Apparatus, MA, USA). Following a midline incision Bregma was located and three partial burr holes drilled bi-temporally overlying the hippocampi and a third on the midline over the frontal cortex. Cortical EEG was recorded by means of skull-mounted recording electrodes (Plastics One Inc, VA, USA) fixed with dental cement. Electrodes were connected to a Comet EEG acquisition system (Grass-Telefactor, USA) and recordings commenced. Right and left side EEG was recorded for Sema6A heterozygous and homozygous mice for 20 minutes, during which 5-second segments were selected and spectral analysis performed for left and right sides. Baseline EEG was recorded for 20 min followed by injection of clozapine (0.25 mg/kg i.p.) and continued for 40 min post-injection. EEG spectral analysis was divided into standard frequency bands (beta, theta, alpha, delta) and the relative input into total spectrum of each band was calculated automatically by an in-built feature of the analysis software (Twin, Grass-Telefactor, USA) for 5 s epochs. For technical reasons, it was not possible to estimate gamma frequency power from these recordings. Baseline values were calculated in the 5 min pre-injection. The signal was analysed 25 min. post injection, since altered clozapine-induced behaviour has been shown to emerge at this time. All data are expressed as mean ± SEM.
The footprint test was used to assess gait . Black and red paint was daubed on the hind- and forefeet, respectively, of each mouse. Animals were then permitted to walk along a brightly lit 34 cm-long, 14 cm-wide runway (10-cm-high perspex walls) into a darkened box lined with sample of bedding from mouse's home cage. A sheet of white paper lined the floor of the runway. The following parameters were measured (cm): Stride length – average distance between each stride; hind-base width – average distance between left and right hind footprints; front-base width - average distance between left and right front footprints; left-right overlap – difference from left or right front footprint/hind footprint overlap.
Grip strength was assessed in the wire-hang suspension task . Each mouse was placed on a wire net (30×35 cm) with plastic borders along its sides. The wire netting was given a quick shake and turned upside down (approx. 30 cm above a worktop). The amount of time that each mouse held onto the wire was recorded up to a maximum of 300 s.
Anxiety-related behaviour was assessed using the elevated plus maze test as described . Two opposing arms were surrounded by cream-coloured chipboard walls (12 cm high, closed arms); the other two walls were devoid of walls (open arms). The apparatus was elevated 25 cm above ground level. The test was conducted under dim lighting conditions. At the start of test, the mouse was placed in the centre of the maze, facing one of the open arms. Number of entries into each arm, as well as cumulative time spent in open and closed arms was recorded during a 5 min session. Entry into an open arm was defined as all four paws being placed in that arm. The maze was cleaned between trials with 3% Virkon™ (Antec International, USA). The start of each trial coincided with the mouse's first arm entry.
In the marble-burying task, mice were individually placed in clear perspex boxes (33×15×13 cm), containing 25 glass marbles (diameter −1.5 cm) evenly spaced on sawdust (depth-5.2 cm). Mice were not allowed access to food and water. Marble-burying behavior was defined as the number of marbles buried at least two-thirds deep in the sawdust within 30 min.
Monitoring of activity in a novel environment.
Locomotor activity was assessed in the open field. Each mouse was placed individually in the center of an open field apparatus (ENV-510; 27.9×27.9 cm; Med Associates, St. Albans, VT). Total ambulatory counts, distance traveled (cm), and vertical activity were recorded. Data were collected over a 60-min period.
Reversal of hyperactivity following antipsychotic administration.
Activity was measured in mice pre-treated with the atypical antipsychotic clozapine (0.25, 0.5, 1.0 mg/kg) or the typical antipsychotic haloperidol (0.5 mg/kg). Animals were brought from the holding facility into the experimental room. They were then weighed and injected s.c. with vehicle or drug and placed back in their home cages. 20–25 minutes later, each mouse was placed individually in the open field apparatus (ENV-510; 27.9×27.9 cm; Med Associates, St. Albans, VT) and several indices of activity (see above) were recorded over a 60-min period.
Clozapine (Sigma/RBI, St. Louis, MO) was dissolved in 50 µl 0.1 M HCL and diluted in distilled water. Haloperidol (Sigma, St. Louis, MO) was dissolved in glacial acetic acid and diluted in distilled water. Vehicle consisted of 50 µl 0.1 M HCL – distilled water. All solutions were prepared fresh daily and injected in a volume of 4 ml/kg.
MK-801 induced hyperactivity.
Animals were brought from the holding facility into the experimental room. They were then weighed and injected s.c. with vehicle or MK-801 (0.2 mg/kg) and returned to their home cages. 20–25 minutes later, each mouse was placed individually in the open field apparatus (ENV-510; 27.9×27.9 cm; Med Associates, St. Albans, VT) and several indices of activity (see above) were recorded over a 60-min period. MK-801 (Sigma/RBI, St. Louis, MO) was dissolved in distilled water. Vehicle consisted of distilled water. All solutions were prepared fresh daily and injected in a volume of 4 ml/kg.
Social interaction in a novel environment.
In the test of social interaction in a novel environment, mice were individually paired with an unfamiliar age-, weight- and sex-matched C57BL6 mouse in a novel observation chamber (28×28×16 cm) for a 10 min observation period. The chamber was constructed of clear perspex and clean bedding material was placed on the chamber floor prior to each test. Between each test, the chamber floor and walls were cleaned with 3% Virkon™ (Antec International, USA). Both the test mouse and the unfamiliar C57BL6 conspecific were placed in the chamber simultaneously and this placement defined the start of the trial. For each animal, the test was captured and recorded using a digital camcorder mounted above the chamber at ceiling level. The experimenter was blind to genotype at time of test and during the subsequent coding of behaviours. All social and nonsocial exploratory behaviours were later coded using the Observer ® (Noldus Inc., The Netherlands) video analysis software. Nine behaviours were coded and organised into the following behavioural domains: social investigation (anogenital sniffing – sniffing of anogenital region of conspecific), social dominance (walkover– the mouse places its front paws on the head or back of conspecific; aggressive following – the test mouse rapidly follows the conspecific from behind, forcing it to retreat), agonistic behaviours (pinning – the mouse pins the conspecific to the floor; clawing), nonsocial exploration (rearing to wall; rearing free – the mouse is upright with front paws raised; sifting – the mouse sifts through the bedding). All behaviours coded were those initiated by the test mouse.
Spontaneous alternation memory.
The continuous variant of the Y-maze spontaneous alternation procedure was assessed during one 10 min session. The Y-maze apparatus consisted of three identical arms (40×12.5×40 cm). Without prior habituation, each test mouse was placed at the centre of the Y-maze and allowed to move freely throughout the maze for a single 10 min period. Rodents possess a natural preference to explore areas previously un-explored; if a mouse has explored one arm of the Y-maze, it is not expected to enter the same arm during its next phase of exploration, but to enter one of the two alternate arms; this test has been suggested to measure several aspects of spatial working memory . A video camera, mounted centrally above the Y-maze, recorded each session and allowed alternation to be analysed using video tracking software (Ethovision®, Noldus Inc., the Netherlands). Spontaneous alternation was defined as successive entries into the three arms, in overlapping triplet sets. It is expressed as a percentage and refers to the ratio of arm choices differing from the previous two choices to the total number of arm entries: percent alternation = ((number of alternations/total number of arm entries) – 2)×100 . The experimenter was blind to genotype at time of test.
Novel object recognition.
Recognition memory was assessed using the novel object recognition paradigm with short (1 hr) or long (4 h) retention times, respectively. The apparatus consisted of an open arena (29×29×20 cm) covered by a layer of bedding (depth 2.5 mm) surrounded by a black cardboard wall. The objects (A, B, C) were two golf balls (diameter 5 cm) with a dimpled surface texture, a blue and a green opaque hollow plastic disc (diameter 4.5 cm, height 2.5 cm) with two small holes in surface, and two pink plastic Lego® bricks (dimensions 5×3.5×2.5 cm)) with 8 protrusions. The experiment was conducted under standard room lighting.
Habituation phase. Twenty four hours prior to testing, mice were placed in the arena and allowed to explore freely for two consecutive sessions of thirty minutes each, with an inter-session interval of 15 min; mice were returned to their home cage between habituation sessions. The arena was wiped clean using 5% Virkon and bedding replaced, both between each session for a given animal and between each experimental animal.
Sample phase. For testing, mice were first allowed to explore the arena for two further sessions of 30 min separated by an inter-session interval of 15 min. Then, two identical objects, A1 and A2, were placed at the rear left and right corners of the arena, 5 cm from both walls to facilitate exploration around each object. Each test mouse was placed at the midpoint of the wall opposite to the sample objects, with nose facing the wall and hence away from objects so as to remove any unintentional bias and allowed to explore the arena for 5 min. Time spent interacting with each object was recorded manually. At the conclusion of this 5 min period, the test mouse was returned to its home cage, the arena cleared of bedding and both arena and objects wiped down to remove odour traces.
Test Phase 1. Following an inter-trial interval of 1 h, the test mouse was placed in the arena now containing familiar object A1 and novel object B1 for 5 min. Time spent interacting with each object was recorded manually for 5 min.
Test Phase 2. Following an inter-trial interval of 4 h (i.e. the period between completing Test Phase 1 and initiating Test Phase 2), the test mouse was placed in the arena now containing familiar object B1 and novel object C1. Time spent interacting with each object was recorded manually for 5 min. The sequence of object presentation was counterbalanced between animals (i.e. which object served as sample or trial object). Similarly, the position of novel and familiar objects was counterbalanced between trials (i.e. novel or familiar object placed in left or right corner of arena). Time spent interacting with each object was determined as nose or whiskers touching the object or directed towards it within <1 cm, or touching the object with a paw. Accidental contact with object (i.e. bumping or using the object as a platform to explore the arena) was not counted as interaction with the object. The experimenter was blind to genotype at time of test and during the subsequent coding of behaviours.
Analysis of behavioural data followed procedures similar to those described previously , using between- or within-subjects analysis of variance (ANOVA), as appropriate, with main factors of genotype, sex, and/or drug treatment; post-hoc comparisons were carried out using independent or paired t-tests, corrected for multiple comparisons. Gait measures were analysed in terms of total length for each measure; exploration in a novel environment was analyzed in terms of activity counts and distance travelled over 1–6 h of habituation; exploration in a novel environment following prep-treatment with an antipsychotic or MK-801 was analyzed in terms of activity counts; spontaneous alternation was analyzed in terms of percentage alternation and number of arm entries; novel object recognition was analyzed in terms of time exploring the novel object during the sample phase, test phase 1, and test phase 2; social interaction was analyzed in terms of total number of episodes and total duration of each behaviour; the EPM was analyzed in terms of absolute or percentage time spent in, and number of entries into, each arm; marble burying was analysed in terms of total number of marbles left uncovered. For the above phenotypic measures, we hypothesized that genotype would be modulated by sex ; thus, where appropriate, separate t-test analyses were also conducted within male and female groups. All statistical analyses were carried out using the SPSS software package (Version 14, SPSS, Chicago, IL, USA).
High-performance liquid chromatography analysis
Tissue constituting three brain areas (frontal cortex, striatum, hippocampus) was removed from each of 16 mice (3 Sema6A+/− male, 4 Sema6A−/− male, 4 Sema6A+/− female, 5 Sema6A−/− female). All were 10 weeks old, except for 2 female homozygous mutants, which were 15 weeks old. Tissue was weighed and put into 500 µl HPLC buffer (buffer was previously run through HPLC column to get baseline standards), sonicated to homogenise, centrifuged 10 min at 1000 g and stored at −70°C until use. 100 µl of each sample was analysed by HPLC to ascertain levels of dopamine and serotonin and their metabolites 3,4-Dihydroxyphenylacetic acid (DOPAC), homovanillic acid (HVA) and 5-Hydroxyindoleacetic acid (5-HIAA).
This file contains detailed information on cell positioning defects of anterior commissure-projecting neurons and concentrations of neuromodulators in various brain regions in Sema6A mutant animals. It also describes methods and results of association analyses of variants in SEMA6A, SEMA6B, PLXNA2 and PLXNA4 with schizophrenia in a sample from the Irish population.
We are very grateful to Jackie Dolan and Mary Phillips for technical assistance. We would also like to thank Dr. Sinead Gibney and Ms. Eimear Fagan in the lab of Prof. Andrew Harkin for their assistance with sample preparation and for running the HPLC.
Conceived and designed the experiments: AER CO MD DWM GEL APC MG DCH JLW KJM. Performed the experiments: AER CO MD DWM GEL. Analyzed the data: AER CO MD DWM GEL APC MG DCH JLW KJM. Wrote the paper: AER CO MD DWM KJM.
- 1. Geschwind DH (2008) Autism: many genes, common pathways? Cell 135: 391–395.
- 2. Galaburda AM,LoTurco J,Ramus F,Fitch RH,Rosen GD (2006) From genes to behavior in developmental dyslexia. Nat Neurosci 9: 1213–1217.
- 3. Rapoport JL,Addington AM,Frangou S,Psych MR (2005) The neurodevelopmental model of schizophrenia: update 2005. Mol Psychiatry 10: 434–449.
- 4. Harrison PJ,Weinberger DR (2005) Schizophrenia genes, gene expression, and neuropathology: on the matter of their convergence. Mol Psychiatry 10: 40–68; image 45.
- 5. Karlsgodt KH,Sun D,Jimenez AM,Lutkenhoff ES,Willhite R,et al. (2008) Developmental disruptions in neural connectivity in the pathophysiology of schizophrenia. Dev Psychopathol 20: 1297–1327.
- 6. Kanaan R,Barker G,Brammer M,Giampietro V,Shergill S,et al. (2009) White matter microstructure in schizophrenia: effects of disorder, duration and medication. Br J Psychiatry 194: 236–242.
- 7. Sussmann JE,Lymer GK,McKirdy J,Moorhead TW,Maniega SM,et al. (2009) White matter abnormalities in bipolar disorder and schizophrenia detected using diffusion tensor magnetic resonance imaging. Bipolar Disord 11: 11–18.
- 8. McIntosh AM,Maniega SM,Lymer GK,McKirdy J,Hall J,et al. (2008) White matter tractography in bipolar disorder and schizophrenia. Biol Psychiatry 64: 1088–1092.
- 9. Heng S,Song AW,Sim K (2010) White matter abnormalities in bipolar disorder: insights from diffusion tensor imaging studies. J Neural Transm 117(5): 639–654.
- 10. Casanova MF (2007) The neuropathology of autism. Brain Pathol 17: 422–433.
- 11. Minshew NJ,Williams DL (2007) The new neurobiology of autism: cortex, connectivity, and neuronal organization. Arch Neurol 64: 945–950.
- 12. Amaral DG,Schumann CM,Nordahl CW (2008) Neuroanatomy of autism. Trends Neurosci 31: 137–145.
- 13. Gowen E,Miall RC (2007) The cerebellum and motor dysfunction in neuropsychiatric disorders. Cerebellum 6: 268–279.
- 14. Shukla DK,Keehn B,Muller RA (2010) Tract-specific analyses of diffusion tensor imaging show widespread white matter compromise in autism spectrum disorder. J Child Psychol Psychiatry. doi:10.1111/j.1469-7610.2010.02342.x.
- 15. Rzhetsky A,Wajngurt D,Park N,Zheng T (2007) Probing genetic overlap among complex human phenotypes. Proc Natl Acad Sci U S A 104: 11694–11699.
- 16. Lichtenstein P,Yip BH,Bjork C,Pawitan Y,Cannon TD,et al. (2009) Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study. Lancet 373: 234–239.
- 17. O'Donovan MC,Craddock NJ,Owen MJ (2009) Genetics of psychosis; insights from views across the genome. Hum Genet 126: 3–12.
- 18. Qin P,Xu H,Laursen TM,Vestergaard M,Mortensen PB (2005) Risk for schizophrenia and schizophrenia-like psychosis among patients with epilepsy: population based cohort study. Bmj 331: 23.
- 19. Cascella NG,Schretlen DJ,Sawa A (2009) Schizophrenia and epilepsy: is there a shared susceptibility? Neurosci Res 63: 227–235.
- 20. Mitchell KJ (2011) The genetics of neurodevelopmental disease. Current Opinion in Neurobiology 21(1): 197–203.
- 21. Sebat J,Levy DL,McCarthy SE (2009) Rare structural variants in schizophrenia: one disorder, multiple mutations; one mutation, multiple disorders. Trends Genet 25: 528–535.
- 22. Betancur C (2010) Etiological heterogeneity in autism spectrum disorders: More than 100 genetic and genomic disorders and still counting. Brain Res 1380: 42–77.
- 23. Mitchell KJ,Porteous DJ (2010) Rethinking the genetic architecture of schizophrenia. Psychol Med 1–14.
- 24. Porteous D (2008) Genetic causality in schizophrenia and bipolar disorder: out with the old and in with the new. Curr Opin Genet Dev 18: 229–234.
- 25. Cook EH Jr,Scherer SW (2008) Copy-number variations associated with neuropsychiatric conditions. Nature 455: 919–923.
- 26. Waddington JL,Corvin AP,Donohoe G,O'Tuathaigh CM,Mitchell KJ,et al. (2007) Functional genomics and schizophrenia: endophenotypes and mutant models. Psychiatr Clin North Am 30: 365–399.
- 27. Carpenter WT,Koenig JI (2008) The evolution of drug development in schizophrenia: past issues and future opportunities. Neuropsychopharmacology 33: 2061–2079.
- 28. Keller MC,Miller G (2006) Resolving the paradox of common, harmful, heritable mental disorders: which evolutionary genetic models work best? Behav Brain Sci 29: 385–404; discussion 405–352.
- 29. Mann F,Chauvet S,Rougon G (2007) Semaphorins in development and adult brain: Implication for neurological diseases. Prog Neurobiol 82: 57–79.
- 30. Rünker AE,Little GE,Suto F,Fujisawa H,Mitchell KJ (2008) Semaphorin-6A controls guidance of corticospinal tract axons at multiple choice points. Neural Dev 3: 34.
- 31. Faulkner RL,Low LK,Liu XB,Coble J,Jones EG,et al. (2008) Dorsal turning of motor corticospinal axons at the pyramidal decussation requires plexin signaling. Neural Develop 3: 21.
- 32. Suto F,Tsuboi M,Kamiya H,Mizuno H,Kiyama Y,et al. (2007) Interactions between Plexin-A2, Plexin-A4, and Semaphorin 6A Control Lamina-Restricted Projection of Hippocampal Mossy Fibers. Neuron 53: 535–547.
- 33. Tawarayama H,Yoshida Y,Suto F,Mitchell KJ,Fujisawa H (2010) Roles of semaphorin-6B and plexin-A2 in lamina-restricted projection of hippocampal mossy fibers. Journal of Neuroscience 30: 7049–7060.
- 34. Matsuoka RL,Nguyen-Ba-Charvet KT,Parray A,Badea TC,Chedotal A,et al. (2011) Transmembrane semaphorin signalling controls laminar stratification in the mammalian retina. Nature 470: 259–263.
- 35. Renaud J,Kerjan G,Sumita I,Zagar Y,Georget V,et al. (2008) Plexin-A2 and its ligand, Sema6A, control nucleus-centrosome coupling in migrating granule cells. Nat Neurosci 11: 440–449.
- 36. Bron R,Vermeren M,Kokot N,Andrews W,Little GE,et al. (2007) Boundary cap cells constrain spinal motor neuron somal migration at motor exit points by a semaphorin-plexin mechanism. Neural Develop 2: 21.
- 37. Zhuang B,Su YS,Sockanathan S (2009) FARP1 promotes the dendritic growth of spinal motor neuron subtypes through transmembrane Semaphorin6A and PlexinA4 signaling. Neuron 61: 359–372.
- 38. Leighton PA,Mitchell KJ,Goodrich LV,Lu X,Pinson K,et al. (2001) Defining brain wiring patterns and mechanisms through gene trapping in mice. Nature 410: 174–179.
- 39. Kerjan G,Dolan J,Haumaitre C,Schneider-Maunoury S,Fujisawa H,et al. (2005) The transmembrane semaphorin Sema6A controls cerebellar granule cell migration. Nat Neurosci 8: 1516–1524.
- 40. Little GE,Lopez-Bendito G,Rünker AE,Garcia N,Pinon MC,et al. (2009) Specificity and plasticity of thalamocortical connections in Sema6A mutant mice. PLoS Biol 7: e98.
- 41. Mah S,Nelson MR,Delisi LE,Reneland RH,Markward N,et al. (2006) Identification of the semaphorin receptor PLXNA2 as a candidate for susceptibility to schizophrenia. Mol Psychiatry 11: 471–478.
- 42. Takeshita M,Yamada K,Hattori E,Iwayama Y,Toyota T,et al. (2008) Genetic examination of the PLXNA2 gene in Japanese and Chinese people with schizophrenia. Schizophr Res 99: 359–364.
- 43. Allen NC,Bagade S,McQueen MB,Ioannidis JP,Kavvoura FK,et al. (2008) Systematic meta-analyses and field synopsis of genetic association studies in schizophrenia: the SzGene database. Nat Genet 40: 827–834.
- 44. Hussman JP,Chung RH,Griswold AJ,Jaworkski JM,Salyakina D,et al. (2011) A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism. Mol Autism 2: 1.
- 45. English JA,Pennington K,Dunn MJ,Cotter DR (2011) The neuroproteomics of schizophrenia. Biol Psychiatry 69: 163–172.
- 46. Arion D,Horvath S,Lewis DA,Mirnics K (2010) Infragranular gene expression disturbances in the prefrontal cortex in schizophrenia: signature of altered neural development? Neurobiol Dis 37: 738–746.
- 47. Suda S,Iwata K,Shimmura C,Kameno Y,Anitha A,et al. (2011) Decreased expression of axon-guidance receptors in the anterior cingulate cortex in autism. Mol Autism 2: 14.
- 48. Zhou K,Yang Y,Gao L,He G,Li W,et al. (2010) NMDA Receptor Hypofunction Induces Dysfunctions of Energy Metabolism And Semaphorin Signaling in Rats: A Synaptic Proteome Study. Schizophr Bull. doi:10.1093/schbul/sbq132.
- 49. Wise SP (2008) Forward frontal fields: phylogeny and fundamental function. Trends Neurosci 31: 599–608.
- 50. Johnson DM,Illig KR,Behan M,Haberly LB (2000) New features of connectivity in piriform cortex visualized by intracellular injection of pyramidal cells suggest that “primary” olfactory cortex functions like “association” cortex in other sensory systems. J Neurosci 20: 6974–6982.
- 51. O'Tuathaigh CM,O'Sullivan GJ,Kinsella A,Harvey RP,Tighe O,et al. (2006) Sexually dimorphic changes in the exploratory and habituation profiles of heterozygous neuregulin-1 knockout mice. Neuroreport 17: 79–83.
- 52. Patel LS,Wenzel HJ,Schwartzkroin PA (2004) Physiological and morphological characterization of dentate granule cells in the p35 knock-out mouse hippocampus: evidence for an epileptic circuit. Journal of Neuroscience 24: 9005–9014.
- 53. Byne W,Hazlett EA,Buchsbaum MS,Kemether E (2009) The thalamus and schizophrenia: current status of research. Acta Neuropathol 117: 347–368.
- 54. Andreasen NC,Pierson R (2008) The role of the cerebellum in schizophrenia. Biol Psychiatry 64: 81–88.
- 55. Thomann PA,Wustenberg T,Santos VD,Bachmann S,Essig M,et al. (2009) Neurological soft signs and brain morphology in first-episode schizophrenia. Psychol Med 39: 371–379.
- 56. Arnold SE (2000) Cellular and molecular neuropathology of the parahippocampal region in schizophrenia. Ann N Y Acad Sci 911: 275–292.
- 57. Connor CM,Crawford BC,Akbarian S (2010) White matter neuron alterations in schizophrenia and related disorders. Int J Dev Neurosci. doi:10.1016/j.ijdevneu.2010.07.236.
- 58. Bailey A,Luthert P,Dean A,Harding B,Janota I,et al. (1998) A clinicopathological study of autism. Brain 121(Pt 5): 889–905.
- 59. Hutsler JJ,Love T,Zhang H (2007) Histological and magnetic resonance imaging assessment of cortical layering and thickness in autism spectrum disorders. Biol Psychiatry 61: 449–457.
- 60. Wegiel J,Kuchna I,Nowicki K,Imaki H,Marchi E,et al. (2010) The neuropathology of autism: defects of neurogenesis and neuronal migration, and dysplastic changes. Acta Neuropathol 119: 755–770.
- 61. Mitelman SA,Torosjan Y,Newmark RE,Schneiderman JS,Chu KW,et al. (2007) Internal capsule, corpus callosum and long associative fibers in good and poor outcome schizophrenia: a diffusion tensor imaging survey. Schizophr Res 92: 211–224.
- 62. Zalesky A,Fornito A,Seal ML,Cocchi L,Westin CF,et al. (2011) Disrupted axonal fiber connectivity in schizophrenia. Biol Psychiatry 69: 80–89.
- 63. Hulshoff Pol HE,Schnack HG,Mandl RC,Cahn W,Collins DL,et al. (2004) Focal white matter density changes in schizophrenia: reduced inter-hemispheric connectivity. Neuroimage 21: 27–35.
- 64. Kuroki N,Kubicki M,Nestor PG,Salisbury DF,Park HJ,et al. (2006) Fornix integrity and hippocampal volume in male schizophrenic patients. Biol Psychiatry 60: 22–31.
- 65. Zhou Y,Shu N,Liu Y,Song M,Hao Y,et al. (2008) Altered resting-state functional connectivity and anatomical connectivity of hippocampus in schizophrenia. Schizophr Res 100: 120–132.
- 66. Kendi M,Kendi AT,Lehericy S,Ducros M,Lim KO,et al. (2008) Structural and diffusion tensor imaging of the fornix in childhood- and adolescent-onset schizophrenia. J Am Acad Child Adolesc Psychiatry 47: 826–832.
- 67. Rametti G,Junque C,Falcon C,Bargallo N,Catalan R,et al. (2009) A voxel-based diffusion tensor imaging study of temporal white matter in patients with schizophrenia. Psychiatry Res 171: 166–176.
- 68. Fitzsimmons J,Kubicki M,Smith K,Bushell G,Estepar RS,et al. (2009) Diffusion tractography of the fornix in schizophrenia. Schizophr Res 107: 39–46.
- 69. Takei K,Yamasue H,Abe O,Yamada H,Inoue H,et al. (2008) Disrupted integrity of the fornix is associated with impaired memory organization in schizophrenia. Schizophr Res 103: 52–61.
- 70. Shukla DK,Keehn B,Lincoln AJ,Muller RA (2010) White matter compromise of callosal and subcortical fiber tracts in children with autism spectrum disorder: a diffusion tensor imaging study. J Am Acad Child Adolesc Psychiatry 49: 1269–1278, 1278 e1261–1262.
- 71. Welham J,Isohanni M,Jones P,McGrath J (2009) The antecedents of schizophrenia: a review of birth cohort studies. Schizophr Bull 35: 603–623.
- 72. Douaud G,Smith S,Jenkinson M,Behrens T,Johansen-Berg H,et al. (2007) Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. Brain 130: 2375–2386.
- 73. Croci L,Chung SH,Masserdotti G,Gianola S,Bizzoca A,et al. (2006) A key role for the HLH transcription factor EBF2COE2,O/E-3 in Purkinje neuron migration and cerebellar cortical topography. Development 133: 2719–2729.
- 74. Butler PD,Silverstein SM,Dakin SC (2008) Visual perception and its impairment in schizophrenia. Biol Psychiatry 64: 40–47.
- 75. Yeap S,Kelly SP,Sehatpour P,Magno E,Javitt DC,et al. (2006) Early visual sensory deficits as endophenotypes for schizophrenia: high-density electrical mapping in clinically unaffected first-degree relatives. Arch Gen Psychiatry 63: 1180–1188.
- 76. Butler PD,Martinez A,Foxe JJ,Kim D,Zemon V,et al. (2007) Subcortical visual dysfunction in schizophrenia drives secondary cortical impairments. Brain 130: 417–430.
- 77. Dorph-Petersen KA,Pierri JN,Wu Q,Sampson AR,Lewis DA (2007) Primary visual cortex volume and total neuron number are reduced in schizophrenia. J Comp Neurol 501: 290–301.
- 78. van den Buuse M (2010) Modeling the positive symptoms of schizophrenia in genetically modified mice: pharmacology and methodology aspects. Schizophr Bull 36: 246–270.
- 79. Amann LC,Gandal MJ,Halene TB,Ehrlichman RS,White SL,et al. (2010) Mouse behavioral endophenotypes for schizophrenia. Brain Res Bull 83: 147–161.
- 80. Dehaene S,Cohen L (2007) Cultural recycling of cortical maps. Neuron 56: 384–398.
- 81. Young JW,Zhou X,Geyer MA (2010) Animal models of schizophrenia. Curr Top Behav Neurosci 4: 391–433.
- 82. Clapcote SJ,Lipina TV,Millar JK,Mackie S,Christie S,et al. (2007) Behavioral phenotypes of Disc1 missense mutations in mice. Neuron 54: 387–402.
- 83. Hikida T,Jaaro-Peled H,Seshadri S,Oishi K,Hookway C,et al. (2007) Dominant-negative DISC1 transgenic mice display schizophrenia-associated phenotypes detected by measures translatable to humans. Proc Natl Acad Sci U S A 104: 14501–14506.
- 84. Pletnikov MV,Ayhan Y,Nikolskaia O,Xu Y,Ovanesov MV,et al. (2008) Inducible expression of mutant human DISC1 in mice is associated with brain and behavioral abnormalities reminiscent of schizophrenia. Mol Psychiatry 13: 173–186, 115.
- 85. Stefansson H,Sigurdsson E,Steinthorsdottir V,Bjornsdottir S,Sigmundsson T,et al. (2002) Neuregulin 1 and susceptibility to schizophrenia. Am J Hum Genet 71: 877–892.
- 86. Erbel-Sieler C,Dudley C,Zhou Y,Wu X,Estill SJ,et al. (2004) Behavioral and regulatory abnormalities in mice deficient in the NPAS1 and NPAS3 transcription factors. Proc Natl Acad Sci U S A 101: 13648–13653.
- 87. Lipska BK,Weinberger DR (2002) A neurodevelopmental model of schizophrenia: neonatal disconnection of the hippocampus. Neurotox Res 4: 469–475.
- 88. Homayoun H,Moghaddam B (2007) NMDA receptor hypofunction produces opposite effects on prefrontal cortex interneurons and pyramidal neurons. J Neurosci 27: 11496–11500.
- 89. Rujescu D,Bender A,Keck M,Hartmann AM,Ohl F,et al. (2006) A pharmacological model for psychosis based on N-methyl-D-aspartate receptor hypofunction: molecular, cellular, functional and behavioral abnormalities. Biol Psychiatry 59: 721–729.
- 90. Spielewoy C,Roubert C,Hamon M,Nosten-Bertrand M,Betancur C,et al. (2000) Behavioural disturbances associated with hyperdopaminergia in dopamine-transporter knockout mice. Behav Pharmacol 11: 279–290.
- 91. Perry W,Minassian A,Paulus MP,Young JW,Kincaid MJ,et al. (2009) A reverse-translational study of dysfunctional exploration in psychiatric disorders: from mice to men. Arch Gen Psychiatry 66: 1072–1080.
- 92. Peleg-Raibstein D,Feldon J (2006) Effects of dorsal and ventral hippocampal NMDA stimulation on nucleus accumbens core and shell dopamine release. Neuropharmacology 51: 947–957.
- 93. Peleg-Raibstein D,Yee BK,Feldon J,Hauser J (2009) The amphetamine sensitization model of schizophrenia: relevance beyond psychotic symptoms? Psychopharmacology (Berl) 206: 603–621.
- 94. Grace AA (2010) Dopamine system dysregulation by the ventral subiculum as the common pathophysiological basis for schizophrenia psychosis, psychostimulant abuse, and stress. Neurotox Res 18: 367–376.
- 95. Lipina TV,Kaidanovich-Beilin O,Patel S,Wang M,Clapcote SJ,et al. (2011) Genetic and pharmacological evidence for schizophrenia-related Disc1 interaction with GSK-3. Synapse 65: 234–248.
- 96. Howes OD,Kapur S (2009) The dopamine hypothesis of schizophrenia: version III–the final common pathway. Schizophr Bull 35: 549–562.
- 97. Murray RM,Lappin J,Di Forti M (2008) Schizophrenia: from developmental deviance to dopamine dysregulation. Eur Neuropsychopharmacol 18: Suppl 3S129–134.
- 98. Seeman P (2011) All roads to schizophrenia lead to dopamine supersensitivity and elevated dopamine D2(high) receptors. CNS Neurosci Ther 17: 118–132.
- 99. Stahl D,Ferger B,Kuschinsky K (1997) Sensitization to d-amphetamine after its repeated administration: evidence in EEG and behaviour. Naunyn Schmiedebergs Arch Pharmacol 356: 335–340.
- 100. Ferger B,Kropf W,Kuschinsky K (1994) Studies on electroencephalogram (EEG) in rats suggest that moderate doses of cocaine or d-amphetamine activate D1 rather than D2 receptors. Psychopharmacology (Berl) 114: 297–308.
- 101. Kittner H,Krugel U,Hoffmann E,Illes P (2000) Effects of intra-accumbens injection of 2-methylthio ATP: a combined open field and electroencephalographic study in rats. Psychopharmacology (Berl) 150: 123–131.
- 102. Jang HS,Kim JY,Kim SH,Lee MG (2009) Role of dopamine receptors on electroencephalographic changes produced by repetitive apomorphine treatments in rats. Korean J Physiol Pharmacol 13: 147–151.
- 103. Lipina TV,Niwa M,Jaaro-Peled H,Fletcher PJ,Seeman P,et al. (2010) Enhanced dopamine function in DISC1-L100P mutant mice: implications for schizophrenia. Genes Brain Behav 9: 777–789.
- 104. Lisman JE,Coyle JT,Green RW,Javitt DC,Benes FM,et al. (2008) Circuit-based framework for understanding neurotransmitter and risk gene interactions in schizophrenia. Trends Neurosci 31: 234–242.
- 105. Barch DM,Smith E (2008) The cognitive neuroscience of working memory: relevance to CNTRICS and schizophrenia. Biol Psychiatry 64: 11–17.
- 106. Clark RE,Squire LR (2010) An animal model of recognition memory and medial temporal lobe amnesia: history and current issues. Neuropsychologia 48: 2234–2244.
- 107. Kapur S (2003) Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia. Am J Psychiatry 160: 13–23.
- 108. Fletcher PC,Frith CD (2009) Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia. Nat Rev Neurosci 10: 48–58.
- 109. Chauvet S,Cohen S,Yoshida Y,Fekrane L,Livet J,et al. (2007) Gating of Sema3E/PlexinD1 signaling by neuropilin-1 switches axonal repulsion to attraction during brain development. Neuron 56: 807–822.
- 110. Wray NR,James MR,Mah SP,Nelson M,Andrews G,et al. (2007) Anxiety and comorbid measures associated with PLXNA2. Arch Gen Psychiatry 64: 318–326.
- 111. Straub RE,MacLean CJ,O'Neill FA,Walsh D,Kendler KS (1997) Support for a possible schizophrenia vulnerability locus in region 5q22–31 in Irish families. Mol Psychiatry 2: 148–155.
- 112. Lewis CM,Levinson DF,Wise LH,DeLisi LE,Straub RE,et al. (2003) Genome scan meta-analysis of schizophrenia and bipolar disorder, part II: Schizophrenia. Am J Hum Genet 73: 34–48.
- 113. Aberg K,Axelsson E,Saetre P,Jiang L,Wetterberg L,et al. (2008) Support for schizophrenia susceptibility locus on chromosome 2q detected in a Swedish isolate using a dense map of microsatellites and SNPs. Am J Med Genet B Neuropsychiatr Genet 147B: 1238–1244.
- 114. Bennett RL,Karayiorgou M,Sobin CA,Norwood TH,Kay MA (1997) Identification of an interstitial deletion in an adult female with schizophrenia, mental retardation, and dysmorphic features: further support for a putative schizophrenia-susceptibility locus at 5q21–23.1. Am J Hum Genet 61: 1450–1454.
- 115. Garcia-Minaur S,Ramsay J,Grace E,Minns RA,Myles LM,et al. (2005) Interstitial deletion of the long arm of chromosome 5 in a boy with multiple congenital anomalies and mental retardation: Molecular characterization of the deleted region to 5q22.3q23.3. Am J Med Genet A 132: 402–410.
- 116. Ofner L,Raedle J,Windpassinger C,Schwarzbraun T,Kroisel PM,et al. (2006) Phenotypic and molecular characterisation of a de novo 5q deletion that includes the APC gene. J Hum Genet 51: 141–146.
- 117. Hovatta I,Varilo T,Suvisaari J,Terwilliger JD,Ollikainen V,et al. (1999) A genomewide screen for schizophrenia genes in an isolated Finnish subpopulation, suggesting multiple susceptibility loci. Am J Hum Genet 65: 1114–1124.
- 118. Jang YL,Kim JW,Lee YS,Park DY,Cho EY,et al. (2007) Linkage of schizophrenia with chromosome 1q32 in Korean multiplex families. Am J Med Genet B Neuropsychiatr Genet 144B: 279–284.
- 119. Stober G,Seelow D,Ruschendorf F,Ekici A,Beckmann H,et al. (2002) Periodic catatonia: confirmation of linkage to chromosome 15 and further evidence for genetic heterogeneity. Hum Genet 111: 323–330.
- 120. Kilpinen H,Ylisaukko-oja T,Rehnstrom K,Gaal E,Turunen JA,et al. (2009) Linkage and linkage disequilibrium scan for autism loci in an extended pedigree from Finland. Hum Mol Genet 18: 2912–2921.
- 121. Maestrini E,Pagnamenta AT,Lamb JA,Bacchelli E,Sykes NH,et al. (2010) High-density SNP association study and copy number variation analysis of the AUTS1 and AUTS5 loci implicate the IMMP2L-DOCK4 gene region in autism susceptibility. Mol Psychiatry 15: 954–968.
- 122. Fujii T,Iijima Y,Kondo H,Shizuno T,Hori H,et al. (2007) Failure to confirm an association between the PLXNA2 gene and schizophrenia in a Japanese population. Prog Neuropsychopharmacol Biol Psychiatry 31: 873–877.
- 123. Budel S,Shim SO,Feng Z,Zhao H,Hisama F,et al. (2008) No association between schizophrenia and polymorphisms of the PlexinA2 gene in Chinese Han Trios. Schizophr Res 99: 365–366.
- 124. Dickson SP,Wang K,Krantz I,Hakonarson H,Goldstein DB (2010) Rare variants create synthetic genome-wide associations. PLoS Biol 8: e1000294.
- 125. O'Sullivan GJ,Dunleavy M,Hakansson K,Clementi M,Kinsella A,et al. (2008) Dopamine D1 vs. D5 receptor-dependent induction of seizures in relation to DARPP-32, ERK1/2 and GluR1-AMPA signalling. Neuropharmacology 54: 1051–1061.
- 126. Carter RJ,Morton J,Dunnett SB (2001) Motor coordination and balance in rodents. Curr Protoc Neurosci Chapter 8: Unit 8 12.
- 127. Okuda T,Higashi Y,Kokame K,Tanaka C,Kondoh H,et al. (2004) Ndrg1-deficient mice exhibit a progressive demyelinating disorder of peripheral nerves. Mol Cell Biol 24: 3949–3956.
- 128. Pellow S,File SE (1986) Anxiolytic and anxiogenic drug effects on exploratory activity in an elevated plus-maze: a novel test of anxiety in the rat. Pharmacol Biochem Behav 24: 525–529.
- 129. Wall PM,Messier C (2002) Infralimbic kappa opioid and muscarinic M1 receptor interactions in the concurrent modulation of anxiety and memory. Psychopharmacology (Berl) 160: 233–244.