Disruption of fronto-temporal connections involving the arcuate fasciculus (AF) may underlie language processing anomalies and psychotic features such as auditory hallucinations in schizophrenia. No study to date has specifically investigated abnormalities of white matter integrity at particular loci along the AF as well as its regional lateralization in schizophrenia. We examined white matter changes (fractional anisotropy (FA), axial diffusivity (AD), asymmetry indices) along the whole extent of the AF and their relationship with psychotic symptoms in 32 males with schizophrenia and 44 healthy males. Large deformation diffeomorphic metric mapping and Fiber Assignment Continuous Tracking were employed to characterize FA and AD along the geometric curve of the AF. Our results showed that patients with schizophrenia had lower FA in the frontal aspects of the left AF compared with healthy controls. Greater left FA and AD lateralization in the temporal segment of AF were associated with more severe positive psychotic symptoms such as delusions and hallucinations in patients with schizophrenia. Disruption of white matter integrity of the left frontal AF and accentuation of normal left greater than right asymmetry of FA/AD in the temporal AF further support the notion of aberrant fronto-temporal connectivity in schizophrenia. AF pathology can affect corollary discharge of neural signals from frontal speech/motor initiation areas to suppress activity of auditory cortex that may influence psychotic phenomena such as auditory hallucinations and facilitate elaboration of delusional content.
Citation: Abdul-Rahman MF, Qiu A, Woon PS, Kuswanto C, Collinson SL, Sim K (2012) Arcuate Fasciculus Abnormalities and Their Relationship with Psychotic Symptoms in Schizophrenia. PLoS ONE 7(1): e29315. https://doi.org/10.1371/journal.pone.0029315
Editor: Tianzi Jiang, Institute of Automation, Chinese Academy of Sciences, China
Received: September 16, 2011; Accepted: November 24, 2011; Published: January 5, 2012
Copyright: © 2012 Abdul-Rahman 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 A*STAR SERC 082-101-0025 (to AQ), the Young Investigator Award at National University of Singapore (NUSYIA FY10 P07, to AQ), National University of Singapore MOE AcRF Tier 1 (to AQ), National Healthcare Group SIG Grant NHG-SIG/05004 (to KS) and A*STAR/Singapore Biomedical Imaging Consortium Grant SBIC RP C-009/2006 (to KS). 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.
Extant data from postmortem , neuroimaging , ,  and genetic studies ,  have pointed towards abnormalities of the white matter in schizophrenia. With respect to neuroimaging of white matter structures in schizophrenia, voxel-based morphometry studies found white matter reductions in frontal, temporal, parietal and occipital lobes . Diffusion tensor imaging (DTI) studies adopting voxel-based analyses and tractography techniques have allowed detailed examination of the organization of these white matter regions. These studies suggested that one of the white matter tracts consistently implicated in schizophrenia is the arcuate fasciculus (AF), an associative fiber tract that connects the frontal cortex with the parietal and temporal cortices. In schizophrenia, reductions of FA either bilaterally ,  or especially on the left side of the AF have been reported , . Of note, the AF is a neural pathway that connects language related regions such as the posterior segment of the temporo-parietal junction (Wernicke's area) with the frontal cortex and may underlie language processing anomalies found in schizophrenia , , . The same pathway is involved in auditory and speech perception during covert and overt speech , ,  and disruption of such fronto-temporal connections is thought to contribute to psychotic experiences such as auditory hallucinations . Functional imaging studies in schizophrenia with auditory hallucinations have revealed involvement of brain regions connected through the AF , . Abnormalities of the AF in schizophrenia have been associated with severity of auditory hallucinations and duration of illness , . Since the AF connects distinct functional regions, better appreciation of the specific disruptions of white matter integrity along the course of the AF fronto-temporally may thus potentially help to understand the course of disease progression and provide a neural marker or correlate of psychopathology.
In addition, few studies have examined white matter asymmetries along the AF and other associative white matter fibers despite suggestions of asymmetric abnormalities and a possible relationship with clinical features , . Chance et al.  examined gross cerebral asymmetries from structural MRI images of patients with schizophrenia and control subjects and found disturbance in the normal differential tissue distribution within the hemispheres along the anterior-posterior axis (also known as brain torque). More recent studies have suggested that global asymmetries may be more subtle and local than previously thought and affect only specific lobes and/or substructures . Previous studies have also found that cortical structures, such as Heschl's gyrus and planum temporale, showed reduction or reversal of the normal left more than right asymmetry  which have been reported to be correlated with severity of symptoms in schizophrenia ,  thus prompting the question of whether similar asymmetries occur in their adjacent white matter tract of the AF and the correlation with clinical symptoms are limited to the temporal segment of the AF.
In this study, we aimed to determine whether abnormalities of the white matter integrity and asymmetry of the AF and their relation with psychotic symptoms in schizophrenia only occur in its specific loci that are most functionally relevant. We employed tract-based analysis instead of traditional voxel-based analysis for several reasons. First, tract-based analysis allows characterization of the nature of white matter integrity and asymmetry indexes along the AF tract from the temporal lobe to the frontal lobe. Second, with tract-based analysis, there is no necessity for spatial smoothing of the 3D image volume which may render localization of abnormalities challenging to interpret in terms of the white matter tracts. Third, previous studies have shown that compared to voxel-based analysis, tract-based analysis increases sensitivity to detect changes due to its explicit incorporation of geometrical models of white matter tracts , , , , . Using tract-based analysis, we examined the AF tract that is the most prominent bundle within the superior longitudinal fasciculus and rostrally extends to the precentral gyrus. This precise AF anatomy observed in recent neuroimaging studies , , , improves upon earlier notions of the AF fiber only passing through the temporal cortex and the pars opercularis and we sought to understand its specific role in schizophrenia. Based on previous findings, we hypothesized that firstly, white matter integrity of the AF is compromised at specific segments (frontal versus temporal lobes) of the AF in schizophrenia and secondly, the AF regional lateralization would be correlated with positive symptoms in schizophrenia.
Thirty two right-handed males with schizophrenia and forty four handedness-matched healthy males were recruited from the Institute of Mental Health, Singapore and the community respectively for this study. The study was approved by the Institutional Review Boards of the Institute of Mental Health, Singapore, as well as that of the National Neuroscience Institute, Singapore. All schizophrenia subjects were recruited at their stable stage and thus were capable of making consent. All subjects gave their written informed consent following a complete description of the study. Socio-demographic and clinical information for the two groups of subjects are given in Table 1.
All diagnoses were made by a psychiatrist using information obtained from the clinical history, mental status examination, existing medical records, interviews with significant others as well as the administration of the structured clinical interview for DSM-IV disorders-Patient Version (SCID-P) . The patients were maintained on a stable dose of antipsychotic medications for at least two weeks prior to recruitment and did not have their medications withdrawn for the purpose of the study. Twenty one patients received second generation antipsychotics, eleven patients were prescribed first generation antipsychotics. The mean (SD) antipsychotic dose was 210.05 (120.16) daily chlorpromazine equivalents in milligrams. No subject met DSM-IV criteria for alcohol or other substance abuse within the preceding three months. The Positive and Negative Syndrome Scale (PANSS)  was used to assess the nature and severity of psychopathology. Both scales were administered by a psychiatrist to all the participants. The healthy controls were screened using the SCID-NP  to be free of any Axis I psychiatric disorder. None of the subjects had a history of major neurological, medical illnesses, substance abuse or psychotropic medication use.
DTI acquisition and preprocessing
Single-shot echo-planar DTI (TR = 3725 ms; TE = 56 ms; flip angle = 90°) was acquired using a 3-Tesla whole body Philips scanner with a SENSE head coil. 42 axial slices with 3.0 mm thickness were acquired parallel to the anterior–posterior commissure line; the imaging matrix was 112×109 with a field of view of 230 mm×230 mm, which was zero-filled to 256×256. 15 diffusion weighted images (DWIs) with b = 800 sec/mm2 and 1 baseline with b = 0 sec/mm2 were obtained.
Within each subject, DWIs were first corrected for motion and eddy current distortions using affine transformation to the image without diffusion weighting. These DWIs were then registered to Mori's single-subject DTI atlas (resolution: 1×1×1 mm3, http://www.mristudio.org)  via an extensively validated approach involving affine and LDDMM nonlinear transformation between the images without diffusion weighting and FA images . For each individual subject, the tensor, FA and AD values were recomputed using the DWIs aligned to Mori's DTI atlas via the diffeomorphic transformation. In addition, the mean DWIs were also constructed by averaging the corresponding DWIs across healthy controls. The tensor and FA value were computed from the mean DWIs in Mori's atlas space to represent the white matter anatomy in this study.
Arcuate Fasiculus Delineation
The AF in each hemisphere was reconstructed from the mean DTI using the Fiber Assignment Continuous Tracking (FACT) method  with a FA threshold of 0.15 and an angle threshold of 60°. The FACT tracking was first performed from all pixels inside the brain. Then, the AF was extracted using a two-ROI approach, that is, all tracts penetrating these endpoint ROIs were assigned to this bundle for further analysis. The two endpoint ROIs were manually drawn on the mean color map in Mori's DTI atlas space guided by the previously validated protocol . The first ROI was placed on the coronal plane cutting the posterior limb of the internal capsule to encompass the intense green tract lateral to the posterior limb of the internal capsule and the branches emanating from this area (Figure 1B, coronal slice #120). Then, the second endpoint ROI was drawn on the axial plane lateral to the sagittal stratum (Figure 1C, axial slice #113). Since these ROIs were drawn in the averaged DTI aligned to the Mori's DTI atlas space, the tracts in the AF bundle are reproducible given the ROIs' coordinates.
Panel (A) illustrates the 3D lateral view of the brain in pink and the AF bundle is colored in yellow. The AF extends from the temporal lobe (labeled as “T”) to the frontal lobe (labeled as “F”). Panels (B, C) show the coronal and axial slices of the mean DTI color map, where the ROI boundaries in orange are shown for the AF delineation.
Mean curves were computed to represent the orientation and shape of the left and right AF bundles using the LDDMM curve mapping ,  based on all fiber tracts of the AF. As suggested in , we reparametrized each mean curve by its arc length and discretized it into equally spaced 50 points, which gave the anatomical correspondence between the left and right AF bundles in a point-to-point manner. Finally, we characterized the FA, AD values as functions of the location along the mean curve, which facilitated the detection of AF abnormalities in schizophrenia.
Demographic variables between patients with schizophrenia and control subjects were compared using two sample Student's t-test for continuous variables and chi-square test for categorical variables.
In ROI-based analysis, we computed FA and AD values averaged over the AF bundle for individuals. Linear regression analyses with a main factor of diagnostic group (control vs schizophrenia) and covariates of age, years of education, and illness duration were performed on the mean FA and AD values to elucidate any abnormalities of the AF in schizophrenia compared with controls. In tract-based analysis, the FA and AD values along the tract were first smoothed using a moving window smoothing approach with window size of 5. Then, the same linear regression model was performed on FA and AD at every location of the AF mean curve. The statistical results were visualized at an overall significance level of 0.05 after Bonferroni correction. The uncorrected p-value was determined as 0.05/50*5 = 0.001, where 50 indicated the number of points on the AF and 5 was considered as the level of smoothness.
We computed lateralization index (LI) according to , where denotes FA or AD, to study the AF asymmetry . The larger and more positive the index, the greater is the left anisotropy or diffusivity relative to the right side. We referred it as “leftward asymmetry”. Conversely, the greater the negativity, the greater is the right anisotropy or diffusivity relative to the left side (rightward asymmetry). In ROI-based analysis, comparison of LI away from 0 to identify asymmetry within healthy controls or patients with schizophrenia as well as asymmetric differences between the two groups in terms of FA or AD were examined using the same linear regression model described above. In tract-based analysis, the same comparison was applied to FA or AD at every location of the AF mean curve. The statistical results were visualized at an overall significance level of 0.05 after Bonferroni correction.
Correlation with Schizophrenic Symptoms
To investigate the relation of the AF white matter integrity and its asymmetry with symptoms of schizophrenia characterized by PANSS subscores, partial correlation analysis was performed when controlling for the effects of age, years of education, and illness duration.
Demographic and Clinical Characteristics
Compared to healthy controls, patients with schizophrenia were older (p<0.001) and had fewer years of education (p<0.001). The average duration of illness in patients with schizophrenia was 11.5 years.
AF abnormalities in schizophrenia
ROI-based analysis only showed a trend of mean FA reduction in both the left and right AF but not mean AD in schizophrenia patients when compared to healthy controls (Table 2).
As illustrated in Figure 2A–D), tract-based analysis characterized abnormalities of FA and AD along the AF in schizophrenia. Compared with healthy controls, patients with schizophrenia showed significant reduction in FA (Figure 2A) along a specific region of the left AF which is close to the primary motor cortex (BA4) and the supplementary motor area (BA6) (see Figure 2E). The same pattern of changes was mirrored on the right side but to a lesser degree without reaching the level of significance.
On the top row of columns (A–D) the black line denotes the profile averaged over healthy controls, while the red line denotes the profile averaged over patients with schizophrenia. The region in gray denotes the anatomical location with significant group difference at p<0.05 after Bonferroni correction as marked by the dashed line on the bottom row of columns (A–D). The x-axis coordinates on panels (A–D) are normalized by the arc length of the AF. Panel (E) shows the triangle corresponding to the AF loci with a significant difference between healthy controls and patients with schizophrenia.
From ROI-based analysis, LI of FA was greater than 0 in both controls and patients with schizophrenia (controls: t = 5.67, p<0.001; schizophrenia: t = 5.37, p<0.001), suggesting leftward asymmetry of the AF in both groups. However, LI of AD was greater than 0 in controls but not in patients with schizophrenia (controls: t = 4.48, p<0.001; schizophrenia: t = −0.03, p = 0.973). No group difference in LI of FA or AD was found between the two groups.
Using tract-based analysis, the LI profile along the AF in Figure 3  shows shaded regions where LI of FA and AD was significantly less than 0 towards the location of the frontal lobe while LI of FA and AD was significantly greater than 0 towards the location of the temporal lobe within controls and patients with schizophrenia. This suggests that there is transition of left lateralization to right lateralization from the temporal lobe to the frontal lobe within the AF, which is illustrated in Figure 3C. There were no significant differences in LI of FA or AD between controls and patients with schizophrenia at every location of the AF.
On the top row of columns (A, B), the black line denotes the LI profile averaged over healthy controls, while the red line denotes the profile averaged over patients with schizophrenia. The regions in gray denotes the anatomical locations with significant lateralization away from zero at p<0.05 after Bonferroni correction as marked by the dashed line on the bottom row of columns (A, B). On panel (C), the AF superimposed on the 3D lateral view of the brain is colored in yellow for left lateralization and in green for right lateralization. On the top row of columns (D–G), the line denotes correlation profile with clinical scores in patients with schizophrenia. The regions in gray denotes the anatomical locations with significant correlations with clinical scores at p<0.05 after Bonferroni correction as marked by the dashed line on the bottow row of columns (D–G). Arrows on panels (H, I) point to the AF locations with significant correlations shown on panels (D, F, G).
Correlation of AF indices with psychopathology
No significant correlations of FA and AD values of the AF ROI were found with PANSS total as well as positive, negative and general psychopathology symptom subscale scores after controlling for the effects of age, years of education, and illness duration.
Amongst patients, tract-based analysis found significant positive correlations between LI of FA and LI of AD values in the temporal loci of the AF with the PANSS subscore for delusions (Figure 3D, 3F). There were also significant positive correlations of LI of AD values with hallucinations in slightly more medial temporal loci the AF (Figure 3G). Even though we observed a trend of correlation patterns of LI of FA with hallucinations (0.022<p<0.044) similar to that LI of AD, such correlations were not significant after Bonferroni correction (Figure 3E).
To the best of our knowledge, this is the first study that sought to identify regionally specific abnormality and lateralization of AF white matter indices and their association with positive symptoms of schizophrenia. Patients with schizophrenia had lower FA in the frontal aspects of the left AF compared with healthy controls. Beyond global leftward asymmetry of the AF yielded from ROI-based analysis, more detailed tract-based analysis revealed that such global leftward asymmetry varies along the AF tract in both groups. The AF appeared right lateralized in the frontal lobe and left lateralized in the temporal lobe in terms of FA and AD measures. In particular, greater left lateralization at specific loci of the AF in the temporal lobe was associated with more severe positive psychotic symptoms such as delusions and hallucination in patients with schizophrenia.
Earlier reports using different methods have found either an increase or reduction in FA of the AF in schizophrenia , , . One ROI-based analysis  and two voxel-based analysis studies ,  found reductions in FA of the AF in schizophrenia. However, using voxel-based analysis, Rotarska-Jagiela et al.  found that the AF was the only tract that showed increased FA in schizophrenia in contrast to decreased FA in other associative fibers including inferior longitudinal fasciculus and the corpus callosum. Hubl et al.  employed voxel-based analysis and found increased left FA of the AF only in patients with auditory hallucinations but in patients without auditory hallucinations compared to healthy controls. These discrepancies may be partially due to differences in patient populations or anatomical definition of the AF.
Improving upon earlier studies that mainly focus the AF passing through the temporal lobe to Broca's area, our study employed tract-based analysis and identified the AF also as the most prominent bundle connecting the superior longitudinal fasciculus and the precentral gyrus, which was also noted in recent studies , , . We found that FA reductions of the AF in schizophrenia occurred in areas corresponding to the left premotor cortex and supplementary motor cortex. The reductions in FA may reflect decreased myelination, loss of axonal membrane or loss of coherence ,  in the frontal AF, suggesting that disruptions of fronto-parieto-temporal connections may occur through these pathways , . Furthermore, such abnormalities in the premotor and supplementary motor cortices may disrupt a top-down inhibitory control process necessary for distinguishing the source of hallucinations as inner thought rather than from an external source . This deficit is possibly influencing and affecting auditory and speech production areas during overt and inner speech ,  which can underlie psychotic experiences such as auditory hallucinations.
Our tract-based analysis also revealed AF lateralization patterns in both groups in that there was leftward (left-greater-than-right) FA and AD asymmetry in the temporal segment and rightward (right-greater-than left) FA and AD asymmetry in the frontal segment. This was not observed using ROI-based analysis in this study when the entire AF tract was considered as whole or in previous studies using voxel-based analysis . Dominant leftward asymmetry in the temporal lobe has been found in postmortem and MRI morphological studies ,  particularly in structures within the temporal-parietal cortex such as the planum temporale  and Heschl's gyrus . Combined with findings of the rightward AF asymmetry in the frontal lobe, these morphologies may reflect differences in regional neurodevelopment, particularly late developing temporo-parietal cortex ,  involving processes such as neurogenesis, pruning and formation of neural networks .
We found that leftward FA asymmetry in the temporal aspects of the AF corresponding to the angular gyrus as well as at the posterior portions of Wernicke's area. This leftward FA asymmetry correlated with severity of positive symptoms in schizophrenia, specifically delusions and hallucinations. This finding is congruent with those found in its adjacent gray matter structures. Structural anomalies of the left temporal lobe, specifically the superior temporal gyrus, have been previously found to be associated with the presence and severity of positive symptoms, particularly hallucinations , . Several studies have also linked lateralized anomalies in temporo-parietal volumes in patients with hallucinations to functional measures of auditory laterality ,  but our strong evidence of a link between lateralized white matter anomalies and positive symptoms adds a new dimension to the previously reported associations.
The above finding can be interpreted from a neurodevelopmental perspective. In normal development, the AF demonstrates marked morphological changes during childhood and adolescence  that may be the result of a programmed imbalance in the distribution of AF axons that leads to hemispheric specialization . Postmortem work indicates that axons of the left posterior superior temporal lobe are more thickly myelinated than those in the right, suggesting a possible explanation for left-hemispheric dominance, rapid sensory signal processing, and functional asymmetry for language . Animal and in vivo tractographic studies show that the AF connects language related regions in the frontal, dorsolateral parietal and temporal areas  and forms a network of parieto-temporal-frontal connections that participate in language processing as well as working memory, aspects which are disrupted in schizophrenia .
The greater leftward lateralization of AD and FA in the temporal AF which correlates with positive psychotic symptoms may be explained by a persistent and relative deficiency in the number of axonal bundles within the right AF compared to the left in schizophrenia . Hence, the difference of white matter integrity of the left frontal AF and accentuation of normal left greater than right asymmetry of FA/AD in the temporal AF suggests aberrant fronto-temporal connectivity. The dysconnectivity between frontal and temporal brain regions can affect corollary discharge of neural signals from frontal speech/motor initiation areas to suppress activity of auditory cortex which may underlie psychotic phenomena such as auditory hallucinations and facilitate elaboration of delusional content , .
There are several strengths in this study. The tract-based analysis allows characterization of specific changes along the AF from the frontal to temporal lobes, which is not identified using ROI analyses of the whole AF or voxel-based analyses. The AF extraction is replicable based on Mori's DTI atlas and the delineation protocol as described above. Despite the relatively modest sample akin to that of previous studies, we noted reductions in FA at the frontal segment of AF and correlations of specific asymmetries of the AF with psychopathology. Replication in a larger cohort and at different stages of the illness would allow better understanding of the longitudinal changes of the AF and in relationship with the illness progress and treatment factors.
In conclusion, we found differential abnormalities in the white matter integrity of the AF in terms of reduced FA in the frontal segment and that accentuation of left greater than right asymmetry of FA/AD in the temporal segment correlated with positive psychotic symptoms in schizophrenia. Because of the importance of the AF in fronto-parietal-temporal connectivity and impact on language and working memory functions which are affected in schizophrenia, further delineation of specific changes and their relationship with clinical, neurocognitive parameters and longitudinal changes are needed with the potential to better understand the underlying neural basis of this condition.
Conceived and designed the experiments: PSW CK KS. Performed the experiments: PSW CK KS MFA AQ. Analyzed the data: MFA AQ. Contributed reagents/materials/analysis tools: MFA AQ. Wrote the paper: KS SLC MFA AQ.
- 1. Hof PR, Haroutunian V, Copland C, Davis KL, Buxbaum JD (2002) Molecular and Cellular Evidence for an Oligodendrocyte Abnormality in Schizophrenia. Neurochemical Research 27: 1193–1200.
- 2. Hulshoff Pol HE, Schnack HG, Bertens MGBC, van Haren NEM, van der Tweel I, et al. (2002) Volume Changes in Gray Matter in Patients With Schizophrenia. Am J Psychiatry 159: 244–250.
- 3. Takahashi T, Suzuki M, Kawasaki Y, Hagino H, Yamashita I, et al. (2003) Perigenual cingulate gyrus volume in patients with schizophrenia: a magnetic resonance imaging study. Biological Psychiatry 53: 593–600.
- 4. Kubicki M, McCarley RW, Shenton ME (2005) Evidence for white matter abnormalities in schizophrenia. Current Opinion in Psychiatry 18: 121–134.
- 5. Liu X, Qin W, He G, Yang Y, Chen Q, et al. (2005) A family-based association study of the MOG gene with schizophrenia in the Chinese population. Schizophrenia Research 73: 275–280.
- 6. Konrad A, Winterer G (2008) Disturbed Structural Connectivity in Schizophrenia—Primary Factor in Pathology or Epiphenomenon? Schizophrenia Bulletin 34: 72–92.
- 7. Tanskanen P, Ridler K, Murray GK, Haapea M, Veijola JM, et al. (2010) Morphometric Brain Abnormalities in Schizophrenia in a Population-Based Sample: Relationship to Duration of Illness. Schizophrenia Bulletin 36: 766–777.
- 8. Shergill SS, Kanaan RA, Chitnis XA, O'Daly O, Jones DK, et al. (2007) A Diffusion Tensor Imaging Study of Fasciculi in Schizophrenia. Am J Psychiatry 164: 467–473.
- 9. Buchsbaum MS, Friedman J, Buchsbaum BR, Chu KW, Hazlett EA, et al. (2006) Diffusion Tensor Imaging in Schizophrenia. Biological Psychiatry 60: 1181–1187.
- 10. Kubicki M, Park H, Westin CF, Nestor PG, Mulkern RV, et al. (2005) DTI and MTR abnormalities in schizophrenia: Analysis of white matter integrity. NeuroImage 26: 1109–1118.
- 11. Hubl D, Koenig T, Strik W, Federspiel A, Kreis R, et al. (2004) Pathways That Make Voices: White Matter Changes in Auditory Hallucinations. Arch Gen Psychiatry 61: 658–668.
- 12. Parker GJM, Luzzi S, Alexander DC, Wheeler-Kingshott CAM, Ciccarelli O, et al. (2005) Lateralization of ventral and dorsal auditory-language pathways in the human brain. NeuroImage 24: 656–666.
- 13. Makris N, Kennedy DN, McInerney S, Sorensen AG, Wang R, et al. (2005) Segmentation of Subcomponents within the Superior Longitudinal Fascicle in Humans: A Quantitative, In Vivo, DT-MRI Study. Cerebral Cortex 15: 854–869.
- 14. Catani M, Jones DK, Ffytche DH (2005) Perisylvian language networks of the human brain. Annals of neurology 57: 8–16.
- 15. Price CJ, Wise RJS, Warburton EA, Moore CJ, Howard D, et al. (1996) Hearing and saying. Brain 119: 919–931.
- 16. Hinke RM, Hu X, Stillman AE, Kim S-G, Merkle H, et al. (1993) Functional magnetic resonance imaging of Broca's area during internal speech. NeuroReport 4: 675–678.
- 17. Desmond JE, Chen SHA, Shieh PB (2005) Cerebellar transcranial magnetic stimulation impairs verbal working memory. Annals of neurology 58: 553–560.
- 18. Dierks T, Linden DEJ, Jandl M, Formisano E, Goebel R, et al. (1999) Activation of Heschl's Gyrus during Auditory Hallucinations. Neuron 22: 615–621.
- 19. Shergill SS, Bullmore E, Simmons A, Murray R, McGuire P (2000) Functional Anatomy of Auditory Verbal Imagery in Schizophrenic Patients With Auditory Hallucinations. Am J Psychiatry 157: 1691–1693.
- 20. Sommer IEC, Ramsey NF, Kahn RS (2001) Language lateralization in schizophrenia, an fMRI study. Schizophrenia Research 52: 57–67.
- 21. Rotarska-Jagiela A, Oertel-Knoechel V, DeMartino F, van de Ven V, Formisano E, et al. (2009) Anatomical brain connectivity and positive symptoms of schizophrenia: A diffusion tensor imaging study. Psychiatry Research: Neuroimaging 174: 9–16.
- 22. Rossi A, Serio A, Stratta P, Petruzzi C, Schiazza G, et al. (1994) Planum temporale asymmetry and thought disorder in schizophrenia. Schizophrenia Research 12: 1–7.
- 23. Bleich-Cohen M, Hendler T, Kotler M, Strous RD (2009) Reduced language lateralization in first-episode schizophrenia: An fMRI index of functional asymmetry. Psychiatry Research: Neuroimaging 171: 82–93.
- 24. Chance SA, Esiri MM, Crow TJ (2005) Macroscopic brain asymmetry is changed along the antero-posterior axis in schizophrenia. Schizophrenia Research 74: 163–170.
- 25. Clark GM, Crow TJ, Barrick TR, Collinson SL, James AC, et al. (2010) Asymmetry loss is local rather than global in adolescent onset schizophrenia. Schizophrenia Research 120: 84–86.
- 26. Petty R, Barta P, Pearlson G, McGilchrist I, Lewis R, et al. (1995) Reversal of asymmetry of the planum temporale in schizophrenia. Am J Psychiatry 152: 715–721.
- 27. Oertel V, Knochel C, Rotarska-Jagiela A, Schonmeyer R, Lindner M, et al. (2010) Reduced laterality as a trait marker of schizophrenia–evidence from structural and functional neuroimaging. J Neurosci 30: 2289–2299.
- 28. Shapleske J, Rossell SL, Woodruff PWR, David AS (1999) The planum temporale: a systematic, quantitative review of its structural, functional and clinical significance. Brain Research Reviews 29: 26–49.
- 29. Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, et al. (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31: 1487–1505.
- 30. Yushkevich PA, Zhang H, Simon TJ, Gee JC (2008) Structure-specific statistical mapping of white matter tracts. Neuroimage 41: 448–461.
- 31. Jones DK, Travis AR, Eden G, Pierpaoli C, Basser PJ (2005) PASTA: pointwise assessment of streamline tractography attributes. Magn Reson Med 53: 1462–1467.
- 32. Maddah M, Grimson WE, Warfield SK, Wells WM (2008) A unified framework for clustering and quantitative analysis of white matter fiber tracts. Med Image Anal 12: 191–202.
- 33. Qiu A, Oishi K, Miller MI, Lyketsos CG, Mori S, et al. (2010) Surface-based analysis on shape and fractional anisotropy of white matter tracts in Alzheimer's disease. PLoS One 5: e9811.
- 34. Catani M, Thiebaut de Schotten M (2008) A diffusion tensor imaging tractography atlas for virtual in vivo dissections. Cortex 44: 1105–1132.
- 35. Glasser MF, Rilling JK (2008) DTI Tractography of the Human Brain's Language Pathways. Cerebral Cortex 18: 2471–2482.
- 36. Bernal B, Altman N (2010) The connectivity of the superior longitudinal fasciculus: a tractography DTI study. Magnetic Resonance Imaging 28: 217–225.
- 37. First MB, Frances AJ, Pincus HA, Vettorello N, Davis WW (1994) DSM-IV in progress. Changes in substance-related, schizophrenic, and other primarily adult disorders. Hosp Community Psychiatry 45: 18–20.
- 38. Kay SR, Fiszbein A, Opler LA (1987) The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull 13: 261–276.
- 39. First MB, Spitzer RL, Gibbon M, Williams JBW (2002) Structured Clinical Interview for DSM-IV Axis I Disorders-Non-patient version (SCID-NP). Washington, DC: American Psychiatric Press.
- 40. Mori S, Oishi K, Jiang H, Jiang L, Li X, et al. (2008) Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. Neuroimage 40: 570–582.
- 41. Ceritoglu C, Oishi K, Li X, Chou MC, Younes L, et al. (2009) Multi-contrast large deformation diffeomorphic metric mapping for diffusion tensor imaging. NeuroImage 47: 618–627.
- 42. Mori S, Crain BJ, Chacko VP, van Zijl PC (1999) Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Annals of neurology 45: 265–269.
- 43. Wakana S, Caprihan A, Panzenboeck MM, Fallon JH, Perry M, et al. (2007) Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 36: 630–644.
- 44. Qiu A, Miller MI (2007) Cortical hemisphere registration via large deformation diffeomorphic metric curve mapping. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 10: 186–193.
- 45. Glaunès J, Qiu A, Miller MI, Younes L (2008) Large deformation diffeomorphic metric curve mapping. International Journal of Computer Vision 80: 317–336.
- 46. Gong G, Jiang T, Zhu C, Zang Y, Wang F, et al. (2005) Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging. Human brain mapping 24: 92–98.
- 47. Luders E, Gaser C, Jancke L, Schlaug G (2004) A voxel-based approach to gray matter asymmetries. NeuroImage 22: 656–664.
- 48. Chupin M, Mukuna-Bantumbakulu AR, Hasboun D, Bardinet E, Baillet S, et al. (2007) Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer's disease. Neuroimage 34: 996–1019.
- 49. Phillips OR, Nuechterlein KH, Clark KA, Hamilton LS, Asarnow RF, et al. (2009) Fiber tractography reveals disruption of temporal lobe white matter tracts in schizophrenia. Schizophrenia Research 107: 30–38.
- 50. Burns J, Job D, Bastin ME, Whalley H, Macgillivray T, et al. (2003) Structural disconnectivity in schizophrenia: a diffusion tensor magnetic resonance imaging study. The British Journal of Psychiatry 182: 439–443.
- 51. Beaulieu C (2002) The basis of anisotropic water diffusion in the nervous system – a technical review. NMR in Biomedicine 15: 435–455.
- 52. Ono J, Harada K, Takahashi M, Maeda M, Ikenaka K, et al. (1995) Differentiation between dysmyelination and demyelination using magnetic resonance diffusional anisotropy. Brain Research 671: 141–148.
- 53. Aboitiz F, García VR (1997) The evolutionary origin of the language areas in the human brain. A neuroanatomical perspective. Brain Research Reviews 25: 381–396.
- 54. Paus T, Perry DW, Zatorre RJ, Worsley KJ, Evans AC (1996) Modulation of Cerebral Blood Flow in the Human Auditory Cortex During Speech: Role of Motor-to-sensory Discharges. European Journal of Neuroscience 8: 2236–2246.
- 55. Hugdahl K (2009) “Hearing voices”: Auditory hallucinations as failure of top-down control of bottom-up perceptual processes. Scandinavian Journal of Psychology 50: 553–560.
- 56. Park H-J, Westin C-F, Kubicki M, Maier SE, Niznikiewicz M, et al. (2004) White matter hemisphere asymmetries in healthy subjects and in schizophrenia: a diffusion tensor MRI study. NeuroImage 23: 213–223.
- 57. Anderson B, Southern BD, Powers RE (1999) Anatomic asymmetries of the posterior superior temporal lobes: a postmortem study. Neuropsychiatry Neuropsychol Behav Neurol 12: 247–254.
- 58. Kulynych JJ, Vladar K, Fantie BD, Jones DW, Weinberger DR (1995) Normal asymmetry of the planum temporale in patients with schizophrenia. Three-dimensional cortical morphometry with MRI. Br J Psychiatry 166: 742–749.
- 59. Dorsaint-Pierre R, Penhune VB, Watkins KE, Neelin P, Lerch JP, et al. (2006) Asymmetries of the planum temporale and Heschl's gyrus: relationship to language lateralization. Brain 129: 1164–1176.
- 60. Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, et al. (2003) Mapping cortical change across the human life span. Nat Neurosci 6: 309–315.
- 61. Blanton RE, Levitt JG, Thompson PM, Narr KL, Capetillo-Cunliffe L, et al. (2001) Mapping cortical asymmetry and complexity patterns in normal children. 107: 29–43.
- 62. Harrison PJ (1999) The neuropathology of schizophrenia. Brain 122: 593–624.
- 63. Neckelmann G, Specht K, Lund A, Ersland L, Smievoll AI, et al. (2006) MR Morphometry Aanalysis of grey matter volume reduction in schizophrenia: Association with hallucinations. International Journal of Neuroscience 116: 9–23.
- 64. Levitan C, Ward PB, Catts SV (1999) Superior temporal gyral volumes and laterality correlates of auditory hallucinations in schizophrenia. Biological Psychiatry 46: 955–962.
- 65. Collinson SL, Mackay CE, Jiaqing O, James ACD, Crow TJ (2009) Dichotic listening impairments in early onset schizophrenia are associated with reduced left temporal lobe volume. Schizophrenia Research 112: 24–31.
- 66. Paus T (1999) Structural maturation of neural pathways in children and adolescents: In vivo study. Science 283: 1908–1911.
- 67. Hyatt BA, Yost HJ (1998) The left-right coordinator: The role of Vg1 in organizing left-right axis formation. Cell 93: 37–46.
- 68. Petrides M, Pandya DN (1988) Association fiber pathways to the frontal cortex from the superior temporal region in the rhesus monkey. The Journal of Comparative Neurology 273: 52–66.
- 69. Heinks-Maldonado TH, Mathalon DH, Houde JF, Gray M, Faustman WO, et al. (2007) Relationship of Imprecise Corollary Discharge in Schizophrenia to Auditory Hallucinations. Arch Gen Psychiatry 64: 286–296.
- 70. Startup M, Startup S, Sedgman A (2008) Immediate source-monitoring, self-focused attention and the positive symptoms of schizophrenia. Behaviour Research and Therapy 46: 1176–1180.