The genetic FOXP2-CNTNAP2 pathway has been shown to be involved in the language capacity. We investigated whether a common variant of CNTNAP2 (rs7794745) is relevant for syntactic and semantic processing in the general population by using a visual sentence processing paradigm while recording ERPs in 49 healthy adults. While both AA homozygotes and T-carriers showed a standard N400 effect to semantic anomalies, the response to subject-verb agreement violations differed across genotype groups. T-carriers displayed an anterior negativity preceding the P600 effect, whereas for the AA group only a P600 effect was observed. These results provide another piece of evidence that the neuronal architecture of the human faculty of language is shaped differently by effects that are genetically determined.
Citation: Kos M, van den Brink D, Snijders TM, Rijpkema M, Franke B, Fernandez G, et al. (2012) CNTNAP2 and Language Processing in Healthy Individuals as Measured with ERPs. PLoS ONE 7(10): e46995. https://doi.org/10.1371/journal.pone.0046995
Editor: Andrew Whitehouse, The University of Western Australia, Australia
Received: May 22, 2012; Accepted: September 7, 2012; Published: October 24, 2012
Copyright: © 2012 Kos 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 research was supported by a SPINOZA prize from the Netherlands Organization for Scientific Research (NWO) to Peter Hagoort. 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.
People vary in their language abilities. There is compelling evidence that part of this variation has a genetic basis. Family and twin studies have revealed a large heritable component in language-related disorders. Moreover, heritable factors are also found to be responsible for part of the variance in healthy people’s linguistic abilities , . Even though relatively little is known about the molecular genetic basis of language, several genes have been shown to play a role in language, such as the FOXP2-CNTNAP2 pathway , . The aim of the present study is to investigate whether a common variant of CNTNAP2 (rs7794745) is relevant for syntactic and semantic processing in the general population.
FOXP2 (forkhead box P2) codes for a forkhead transcription factor and regulates the expression of other genes during development . In vertebrates, FoxP2 is widely expressed across the brain. More specifically, it is expressed in distributed circuits involving the cortex, basal ganglia, thalamus and cerebellum , . Mutations in FOXP2 cause severe but rare syndromic deficits in language comprehension and expression. These coincide with apraxic speech and orofacial praxis deficits including simultaneous and sequential movements, whereas other aspects of cognition and development are relatively spared (Developmental Verbal Dyspraxia; DVD [MIM 602081]) –. Brains of individuals carrying a mutation of FOXP2 show subtle structural and functional abnormalities in language-related regions, such as the inferior frontal gyrus, superior temporal gyrus, cerebellum and striatum –. These results are consistent with behavioural evidence that FOXP2 is associated with human language and speech. FOXP2’s role in vocal motor behaviour, however, is not restricted to humans, as FoxP2 plays a role in vocal learning and motor sequencing in non-human species as well. Specifically, reduced functional levels of FoxP2 protein have been found to impair vocalization and motor-skill learning in songbirds and mice respectively , , .
FOXP2 regulates the expression of other genes, and one of its targets is the CNTNAP2 gene . CNTNAP2 (contactin associated protein-like 2) encodes a protein belonging to the neurexin family  which is known to be involved in cell adhesion  and shows enriched expression in language-related circuits of the brain . Several reports indicate a specific involvement of CNTNAP2 in language development. It has been related to impaired speech development in Pitt-Hopkins-like syndrome involving intellectual disability , , to language regression in recessive symptomatic focal epilepsy , and to delays in language acquisition , , semantic-pragmatic skills  and speech  in autism. Furthermore, analyses of children with Specific Language Impairment (SLI) have associated CNTNAP2 variants with reduced performance on indices of language ability such as nonword repetition , , expressive and receptive skills  as well as reading skills . Recently, the observed association between CNTNAP2 and nonword repetition was replicated in another language disorder, namely dyslexia  (but see ).
Importantly, CNTNAP2 is not only associated with clinically distinct syndromes involving disrupted language. Recently, Whitehouse et al.  found that specific common genetic variants in the exon 13–15 region of CNTNAP2, previously linked to SLI ,  and delayed language development in autism , are also related to the early stages of language development in children from the general population. Moreover, Whalley et al. , Snijders  and Folia et al.  found that another common single nucleotide polymorphism (SNP) of CNTNAP2 (rs7794745), known to be involved in autism , is associated with functional brain measures related to language processing in healthy adults. Using magnetic resonance imaging (MRI) studies, these studies revealed differences in brain activation to sentence processing compared to the processing of word lists in right inferior frontal and left middle temporal cortex for two CNTNAP2 rs7794745 genotype groups (AA vs T-carriers) . A second study found differences between TT and A-carriers in the right middle temporal cortex during a sentence completion task . Furthermore, differences in brain connectivity patterns between left inferior frontal cortex and left superior temporal cortex have been observed between AA and T-carriers as a function of the syntactic complexity of sentences (i.e. sentences containing word category ambiguities versus unambiguous sentences) . This latter finding of CNTNAP2 being associated with neurocognitive processing as a function of syntactic complexity has been confirmed by a magnetic encephalography (MEG) study using a similar experimental paradigm . Finally, the two genotype groups (AA, T-carriers) of CNTNAP2 rs7794745 also showed differences in behavioural as well as neuronal responses in language-related areas within an implicit artificial syntax learning study .
In sum, data from individuals with language-related disorders as well as healthy subjects are consistent with a role for CNTNAP2 in language processing. Furthermore, four recent brain imaging studies (using MEG and fMRI) also suggest that the common rs7794745 variant of CNTNAP2 is related to language or syntactic processing –. The goal of the current study was to further explore the effects of this variant on language or, more specifically, syntactic and semantic processing. As the rs7794745 variant of CNTNAP2 is found to be most consistently involved in language processing in the general population –, we selected this particular SNP of CNTNAP2 to investigate visual sentence processing using event-related brain potentials (ERPs) in healthy adults.
To examine syntactic processing we made use of a subject-verb agreement manipulation (e.g. The spoiled child throws/throw the toy on the floor.), known to elicit a positive ERP deflection (the P600) starting from around 600 ms after onset of a visually or auditorily presented word –. It is assumed that the P600 is a reflection of syntactic unification and that its amplitude is affected by competition between alternative unification options , . Others suggest that the P600 reflects syntactic reanalysis or repair  or prefer a more general cognitive interpretation of the P600 effect, such as categorization or error monitoring , . The P600 effect to syntactic manipulations is frequently preceded by (left or bilateral) anterior negativities occurring between 100 and 500 ms after word onset , , –, reflecting a violation of the expectancy for a certain agreement feature  or the identification of word category and morphological information . Others propose that these anterior negativities to agreement mismatches result from the failure to find a matching constituent to which the word can bind .
Our semantic manipulation consisted of sentences containing words that were semantically congruent or incongruent (e.g., Whipped cream tastes sweet/anxious and creamy). These semantically incongruent words have been shown to elicit a negative effect around 400 ms after the beginning of the word, known as the N400 effect –. While the N400 is generally considered to be an index of semantic processing, its precise functional interpretation is still under debate. The N400 effect is believed to reflect the pre-activation and unification of the meaning of a word into the overall meaning representation built upon the preceding language input . Others propose that the N400 reflects the ease with which information can be accessed from long-term multimodal (i.e., semantic) memory , .
Summarizing, the FOXP2-CNTNAP2 pathway seems to be implicated in language. In the current paper we looked into a common variant of CNTNAP2 (rs7794745) identified in earlier brain imaging studies investigating syntactic ambiguities and artificial grammar learning. In the current study, we examine the relationship between this CNTNAP2 rs7794745 variant to ERP responses sensitive to syntactic agreement and semantic processing, thus enabling us to see whether CNTNAP2 rs7794745 is also involved in linguistic domains outside of syntax.
Written informed consent was obtained from all participants prior to measurement and the study received ethical approval from the local reviewing committee “CMO Arnhem Nijmegen” (CMO no 2001/095 and amendment “Imaging Human Cognition” 2006, 2008), in accordance with the local National law Research involving Human subjects Act, following the principles of the Declaration of Helsinki.
In total, sixty Dutch native speakers of European descent participated in the experiments (26 male, mean age 21.3, range 18–30), 49 of whom were included in the final ERP analysis (24 males, mean age 21.3 years, range 18–30). Participants were recruited from the Donders Institute participant pool. All had normal or corrected-to-normal vision and were right-handed. None of the participants had any neurological or language impairment.
To examine syntactic agreement, we selected 80 Dutch sentence pairs from Hagoort et al. , where one sentence contained a number agreement violation between the subject and the verb and the other served as a correct control. These agreement violations are known to elicit a standard P600 effect . The sentence pairs were identical with the exception of one word, which served as the critical word for the ERP analysis (printed in bold). In half of the cases the critical word was the verb of the sentence (e.g., The spoiled child throws/throw the toys on the floor), in the other half, the subject was the critical word (e.g., With an apple in the hand walk/walks the sisters to school; in Dutch the verb can appear in front of the subject, so the sentence with ‘walk’ is legal). The length of the sentences ranged from 5 to 14 words (mean 10.7 words, sd = 1.69).
The experimental materials of the semantic manipulation consisted of 80 Dutch sentence pairs containing a semantic violation and a correct control. These sentence pairs had already been used in other experiments and are known to elicit an N400 effect –. Again, the experimental sentence pairs were identical with the exception of one word, which was the critical word for our analyses. Each pair consisted of a sentence that was semantically coherent (e.g., Whipped cream tastes sweet and creamy) and a sentence that contained a semantic anomaly (e.g., Whipped cream tastes anxious and creamy). The critical words were never in sentence-final position and were matched across conditions for word frequency, based on log lemma frequencies of the Dutch database CELEX  (semantically congruent = 2.96, semantically anomalous = 2.86), and length (semantically congruent = 5.69, semantically anomalous = 5.73). The length of the sentences ranged from 5 to 19 words (mean 12.7 words, sd = 3.0).
In addition to the sentences of interest in this paper, participants also read a set of ambiguous relative clauses and a semantic-thematic manipulation  in one version of the experiment. The other version contained a set of complement clauses and a set of relative clauses . Both versions contained 50 coherent items, which served as filler sentences. These coherent sentences were selected from the Dutch CLEF corpus . In addition, we included 20 practice-items, which were similar to the experimental items.
The two different versions of the experiment, consisting of 434 sentences and 398 sentences respectively, were each mixed pseudo randomly. This was done in such a way that participants each got one version of an item, and that different versions were distributed equally across participants. Critical words were only used once in the critical position. The length of the sentences ranged from 5 to 19 words. The average length was 10.8 words (sd = 2.10).
Participants were tested individually in a sound-attenuating booth. The booth was dimly lit (Fiber optic lights DMX 512 at 60%). Participants were seated in a comfortable chair and were told that the aim of the experiment was to investigate how people process sentences and that some of the sentences would be more difficult or strange than other sentences. Participants were informed that they were going to see a printed sentence that would be presented word-by-word in the middle of the computer screen, were instructed to read the sentences carefully and to attempt to understand them as well as possible. They were asked to try not to move or blink during the presentation of the sentence. No other task demands were imposed.
After a short practice session, trials were presented in five blocks of 15 min each, separated by rest periods of approximately 5 min. Halfway through every block there was an additional 30 s break. The viewing distance was approximately 110 cm. The first word of the sentence started with a capital letter and the rest of the words were presented in white lowercase ARIAL (23-point font size) against a dark background in the centre of a CFT 60 Hz monitor. Each word was presented for 300 ms followed by a blank screen for 300 ms, and the final word of the sentence ended with a period. After the final word an asterisk appeared for 2 s, indicating to the participants that they could blink and move their eyes, followed by a 1.2 s blank interval before the start of the next trial. Sentences were presented using Presentation software (Neurobehavioral systems, www.neuro-bs.com).
DNA was isolated from saliva, which was collected using the Oragene containers (DNA Genotek Inc., Kanata, Ontario, Canada) according to the protocol supplied by the manufacturer. DNA-isolation and genotyping were performed in a CCKL-accredited laboratory at the Department of Genetics of the Radboud University Nijmegen Medical Centre in Nijmegen. The CNTNAP2 polymorphism (rs7794745, A>T) was genotyped using Taqman analysis (assay ID: rs7794745: Taqman assay C__2661558_10, reporter 1: VIC-A-allele, forward assay; Applied Biosystems, Nieuwerkerk a/d IJssel, The Netherlands). This particular SNP is located in the intron between exons 2 and 3 of the CNTNAP2 gene. Genotyping was carried out in a volume of 10 µl containing 10 ng of genomic DNA, 5 µl of Taqman Mastermix (2x; Applied Biosystems), 0.125 µl of the Taqman assay and 3.875 µl of MilliQ. Amplification was performed by an initial denaturation at 95°C for 12 min, followed by 40 cycles of denaturation at 92°C for 15 s and annealing/extension at 60°C for 1 min. This was carried out on a 7500 Fast Real-Time PCR System, and genotypes were scored using the algorithm and software supplied by the manufacturer (Applied Biosystems). Generally, 5% blanks as well as duplicates were taken along as quality controls during genotyping.
Thirty-two participants were homozygous for the A allele (AA group), and twenty-eight participants were carrier of at least one T allele (AT/TT group: 20 AT, 8 TT). Testing for Hardy-Weinberg equilibrium did not show deviations from the expected distribution of genotypes (HWE, p = .11). For further analysis, carriers of at least one T allele, who have an increased risk for autism susceptibility , were grouped together and compared to carriers of the AA homozygous people, similar to the analyses performed by Snijders and Folia et al. , .
EEG Recording and Analysis
The electroencephalography (EEG) was recorded from 28 cap-mounted Ag/AgCl electrodes (Easycap and Acticap). Four electrodes were placed over the standard 10% system midline sites Fz, FCz, Cz, and Pz. Eleven pairs were located over the standard lateral sites FP1/FP2, F7/F8, F3/F4, FC5/FC6, FC1/FC2, T7/T8, C3/C4, CP5/CP6, CP1/CP2, P7/P8, and O1/O2. Two electrodes were placed at the outer left and right canthi to monitor horizontal eye movements. Vertical eye movements were monitored using FP1 and an electrode placed below the left eye. An additional electrode was placed on the right mastoid bone. During measurement, all electrodes were referenced to the left mastoid. For the Easycap electrode impedances of the EEG- and electrooculographic (EOG) electrodes were kept below 5 and 10 kΩ respectively, for the Acticap electrode impedances were kept below 20 kΩ. Signals were recorded with a BrainAmp DC amplifier (Brain Products, Gilching, Germany), using a 125 Hz low-pass filter, a time constant of 10 s (0.016 Hz), and a 500 Hz sampling frequency. The software package Brain Vision Analyzer (Brain Products) was used to analyze the waveforms.
Offline, the EEG electrodes were rereferenced to the mean of the right and left mastoid and the EOG electrodes were converted into bipolar horizontal and vertical EOG signals. A 30 Hz, 12 dB low-pass Hanning filter was applied. Subsequently, the critical words were segmented using a window which started 200 ms before and ended 1500 ms after the critical word. After baseline correcting to the 200 ms interval before the critical word, segments were semi-automatically screened for eye movements, electrode drifting, amplifier blocking and electromyographic (EMG) artefacts using a 75 µVolt criterion. Segments containing such artefacts were rejected (12.1% overall) with no asymmetry across conditions (range of segments which were included in the average: syntactically congruent: 31–40, syntactically anomalous: 30–40; semantically congruent: 26–40, semantically anomalous: 30–40). The remaining EEG segments were averaged per participant and per condition. Ten participants were excluded from the analysis due to an excessive number of artefacts in the EEG signal and one participant was excluded due to technical problems during the measurement, leaving 49 participants for subsequent analysis (24 males, mean age 21.3 years, range 18–30; characteristics per genotype group are displayed in Table 1).
With respect to the syntactic manipulation, a latency window between 150 and 550 ms after onset of the critical word was selected to test for (early) anterior negativities. This time window was based on visual inspection. For assessment of the P600 effect a standard 600–1000 ms latency window was applied. A standard latency window of 300 to 550 ms after onset of the critical word was used to compute the mean amplitude of the N400 component. The effects were evaluated in repeated-measures analyses of variance (ANOVA) involving the between-subject factor Genotype (AA, AT/TT) and the within-subject factors syntactic or semantic Congruency (congruent, incongruent) and Site, which consisted of two levels Anterior (F7, F3, Fz, F4, F8, FC5, FC1, FCz, FC2, FC6) and Posterior (Cz, CP5, CP1, CP2, CP6, P7, P3, Pz, P4, P8). Interactions with the factors Genotype and/or Site were followed by separate Genotype and Site analyses.
Figure 1a shows the average waveforms of the agreement violations and their correct controls, for the AA and AT/TT genotype groups. Figure 1b depicts the topographical distribution of the agreement effect between 150 and 550 ms and 600 and 1000 ms of the two genotype groups. Even though both groups show the typically posteriorly distributed P600 effect, only the AT/TT group showed the earlier, negative-going effect maximal at anterior sites.
ERP waveforms elicited by the agreement violations (dotted, coloured line) and their correct controls (solid, black line) for the AA and AT/TT genotype groups for electrodes Fz, FCz, and Pz. The left, grey block and right, green block indicate the latency windows used for analysis for the anterior negativity and P600 respectively. In this and the following figure the waveforms are time-locked to the onset of the critical word and negative voltage is plotted upward. An 8 Hz low-pass filter has been applied for illustrative purposes. b. Scalp distribution of the effect elicited by the agreement manipulation between 150 and 550, as well as 600 and 1000 ms after critical word onset. In this and the following figure the electrodes for which the waveforms are displayed have been highlighted.
The repeated measures ANOVA in the 150 to 550 ms latency window revealed a main effect of Syntactic Congruency (F(1,47) = 4.81, MSE = 19.18, p<.05). There was a significant interaction between Congruency and Genotype (F(1,47) = 4.12, MSE = 19.18, p<.05; effect size = 0.56), the interaction between Congruency, Site and Genotype was not significant (p>.05), nor was the interaction between Congruency and Site (p>.05).
Post-hoc analyses for Congruency×Genotype interaction revealed no effect in the 150 to 550 ms time window for the AA-group (p>.05), whereas the AT/TT group exhibited a significant negativity (F(1,22) = 6.42, MSE = 25.10, p<.05; see Figure 1).
In the 600 to 1000 ms latency window a main effect of Syntactic Congruency was observed (F(1,47) = 5.12, MSE = 39.63, p<.05). Even though the topographical distributions for the two genotype groups (Figure 1b) seem slightly different, there were no significant interactions involving the factor Genotype (Congruency×Genotype: p>.05; Congruency×Genotype×Site: p>.05), indicating that both genotype groups elicited a P600 effect (Figure 1). The interaction between Congruency and Site was significant (F(1,47) = 39.92, MSE = 7.59, p<.001), revealing the typical posterior distribution of the P600 effect (anterior: Congruency: p>.05; posterior: Congruency: F(1,48) = 22.88, MSE = 22.61, p<.001).
On the basis of visual inspection it seemed that the onset of the P600 was earlier for the AA-group compared to the T-carriers. For this reason we performed additional analyses within 600–800 and 800–1000 latency windows. While we did not observe significant interactions with genotype group within the latter latency window (Congruency×Genotype: p>.05, Congruency×Genotype×Site: p>.05), we did observe a (marginally significant) Congruency×Genotype interaction in the earlier (600 and 800 ms) time window (F(1,47) = 4.03, MSe = 46.38, p = .05; Congruency×Genotype×Site: p>.05). Post-hoc tests per genotype group revealed that only the AA-group showed a positive effect where the T-carriers did not (AA-group: F(1,25) = 21.27, MSE = 22.17, p<.001; T-carriers: p>.05).
Figure 2 depicts the average waveforms and concomitant topographical distribution of the semantic manipulation within the N400 time window for the AA and AT/TT genotype groups. In both groups the semantic anomalies elicited a clear N400 effect.
ERP waveforms elicited by the semantic anomalies (dotted, coloured line) and their correct controls (solid, black line) for the AA and AT/TT genotype groups for electrodes CP1, CP2, and Pz. The grey block indicates the latency window used for analyses of the N400 effect. The left panel of this figure depicts the scalp distribution of the effect elicited by the semantic manipulation between 300 and 550 ms after critical word onset.
Analyses between 300 and 550 ms revealed a significant effect of semantic Congruency (F(1,47) = 81.13, MSE = 45.16, p<.001). There were no significant interactions with the between-subject factor Genotype (Congruency×Genotype: p>.05; Congruency×Site×Genotype: p>.05), denoting that both genotype groups display a comparable N400 effect (Figure 2). We found a significant interaction between Congruency and Site (F(1,47) = 29.93, MSE = 6.45, p<.001). Post-hoc analyses for Site demonstrated significant effects for both anterior (F(1,48) = 39.34, MSE = 27.19, p<.001) and posterior electrodes (F(1,48) = 111.14, MSE = 24.67, p<.001).
In this paper we show that a common variant of CNTNAP2 (rs7794745) is relevant for sentence processing as measured with ERPs. The brain response to syntactic number agreement violations was different for the two genotype groups (AA vs AT/TT) of this variant. While in both genotype groups the agreement violations elicited a P600 effect, only carriers of the T-allele exhibited an anterior negativity preceding the P600 effect. In addition, the P600 effect of the T-carriers seemed to have a later onset compared to the AA-group. However, we cannot exclude the possibility that this difference results from component overlap with the negativity between 150–550 ms observed for the T-carriers, therefore we refrain from functionally interpreting this difference. In contrast to the syntactic manipulation revealing clear neurocognitive processing differences between the CNTNAP2 genotype groups, these groups did not show any processing differences with respect to the semantic manipulation, as both groups displayed a standard N400 effect to semantic anomalies.
These results are in line with earlier findings that suggest that the FOXP2-CNTNAP2 pathway is implicated in language. Previous results have shown that mutations on FOXP2 cause syndromic language and speech deficits –. Furthermore, CNTNAP2, one of the SNPs whose expression is regulated by FOXP2, is associated with impairments of language development in several syndromes, such as autism – and SLI , . Recently, it has also been found that CNTNAP2 is associated with language development in the general population .
The current findings are consistent with four recent brain imaging studies showing that the common variant rs7794745 of CNTNAP2 is related to language processing in the general population –. In these studies differences across genotypes of this variant were observed with respect to brain activation for the processing or completion of sentences in right inferior frontal and left and right middle temporal cortex , . Furthermore, brain connectivity patterns between left inferior cortex and left superior temporal cortex, as well as event-related fields over left temporal regions differed between CNTNAP2 groups as a function of syntactic complexity . In addition to these sentence processing measures, an artificial syntax learning paradigm Folia et al.  revealed differential brain responses in left inferior frontal cortex –in addition to the left frontopolar region- between CNTNAP2 groups, with the AA-group showing larger activation compared to the T-carriers. Finally, behavioural results of this study showed that T-carriers acquired structural knowledge in a more efficient way compared to the AA-group, with less reliance on irrelevant, familiarity features of the surface sequences (local subsequence familiarity).
In sum, in those studies with strongly controlled language processing, it is observed that genotype differences found for this common variant of CNTNAP2 in the general adult population pertain primarily to syntactic processes. Interestingly, CNTNAP2 usually has been linked to broader domains of language development or capacity, comprising semantics, syntax and phonology (e.g. , , ). With the observation that this common variant of CNTNAP2 is relevant largely for syntactic processes, we do not claim that this SNP is syntax-specific. Rather, this pattern of findings could suggest that this SNP is associated with the development of, or communication between those brain areas that are especially relevant for syntactic processing. Further research is necessary to see whether this common variant of rs7794745 is relevant for other or broader language domains as well.
How can we interpret the differential ERP pattern observed for the number agreement violations, with only T-carriers displaying an anterior negativity, in light of the previous findings for this common variant of CNTNAP2 –? With respect to the processing of number agreement violations, it is known that its neural basis lies, amongst others, in the left inferior frontal gyrus (BA 44 and 45) and superior temporal gyrus , . Additionally, areas assumed to underlie (early) anterior negativities are the superior temporal gyrus, middle temporal gyrus and left inferior frontal gyrus . Hence, the areas known to be differentially functionally connected or activated for the two genotype groups of CNTNAP2 in the previous brain imaging studies – overlap with the areas known to be involved in the processing of subject-verb agreement. Furthermore, the artificial syntax learning study showed that T-carriers seemed to be more sensitive to structural cues, while the AA-group relied more on ineffective surface properties of the sequences. Relating these observations to the knowledge that anterior negativities have been functionally linked to the processing of morphological features , , , a tentative explanation is that T-carriers, who show an anterior negativity, focus more on these specific grammatical features of words compared to the AA-group. As it is known that T-carriers have an increased susceptibility for autism, it would also be interesting to link our ERP findings to autism. Unfortunately, we are not aware of studies investigating syntactic processing by means of ERPs in autism. However, differences for autism with respect to language related ERPs have been reported before , .
In conclusion, the current study demonstrates an association of a common genetic polymorphism of CNTNAP2 (rs7794745) with individual variation in neurocognitive response to a syntactic manipulation. While both genotype groups showed a P600 effect to number-agreement violations, only T-carriers displayed an anterior negativity preceding this P600 effect. These results provide another piece of evidence that the neuronal architecture of the human faculty of language is shaped differently by effects that are genetically determined.
We thank Sabine Kooijman for her help with saliva sample collection and Marina Hakobian for genotyping. We thank Dan Acheson for comments on the manuscript.
Conceived and designed the experiments: MK PH DVDB TMS. Performed the experiments: MK. Analyzed the data: MK DVDB. Contributed reagents/materials/analysis tools: MK BF MR GF. Wrote the paper: MK DVDB PH. Genotyping of participants/contributed genetic analysis tools: BF MR GF.
- 1. Stromswold K (2001) The heritability of language: a review and metaanalysis of twin, adoption and linkage studies. Language 77: 647–723.
- 2. Ramus F, Fisher SE (2009) Genetics of Language. In: Gazzaniga MS, editor. The New Cognitive Neuroscience. 4th ed. Cambridge, MA: MIT Press. 855–871.
- 3. Bishop DV (2009) Genes, cognition, and communication: insights from neurodevelopmental disorders. Ann N Y Acad Sci 1156: 1–18.
- 4. Carlsson P, Mahlapuu M (2002) Forkhead transcription factors: key players in development and metabolism. Dev Biol 250: 1–23.
- 5. Fisher SE, Scharff C (2009) FOXP2 as a molecular window into speech and language. Trends Genet 25: 166–176.
- 6. Lai CSL, Gerrelli D, Monaco AP, Fisher SE, Copp AJ (2003) FOXP2 expression during brain development coincides with adult sites of pathology in a severe speech and language disorder. Brain 126: 2455–2462.
- 7. Watkins KE, Dronkers NF, Vargha-Khadem F (2002) Behavioural analysis of an inherited speech and language disorder: comparison with acquired aphasia. Brain 125: 452–464.
- 8. Lai CSL, Fisher SE, Hurst JA, Vargha-Khadem F, Monaco AP (2001) A forkhead-domain gene is mutated in a severe speech and language disorder. Nature 413: 519–523.
- 9. MacDermot KD, Bonora E, Sykes N, Coupe AM, Lai CSL, et al. (2005) Identification of FOXP2 truncation as a novel cause of developmental speech and language deficits. Am J Hum Genet 76: 1074–1080.
- 10. Shriberg LD, Ballard KJ, Tomblin JB, Duffy JR, Odell KH, et al. (2006) Speech, prosody, and voice characteristics of a mother and daughter with a 7;13 translocation affecting FOXP2. J Speech Lang Hear Res 49: 500–525.
- 11. Feuk L, Kalervo A, Lipsanen-Nyman M, Skaug J, Nakabayashi K, et al. (2006) Absence of a paternally inherited FOXP2 gene in developmental verbal dyspraxia. Am J Hum Genet 79: 965–972.
- 12. Liegeois F, Baldeweg T, Connelly A, Gadian DG, Mishkin M, et al. (2003) Language fMRI abnormalities associated with FOXP2 gene mutation. Nat Neurosci 6: 1230–1237.
- 13. Vargha-Khadem F, Gadian DG, Copp A, Mishkin M (2005) FOXP2 and the neuroanatomy of speech and language. Nat Rev Neurosci 6: 131–138.
- 14. Belton E, Salmond CH, Watkins KE, Vargha-Khadem F, Gadian DG (2003) Bilateral brain abnormalities associated with dominantly inherited verbal and orofacial dyspraxia. Hum Brain Mapp 18: 194–200.
- 15. Watkins KE, Gadian DG, Vargha-Khadem F (1999) Human genetics ‘99. Functional and structural brain abnormalities associated with a genetic disorder of speech and language. Am J Hum Genet 65: 1215–1221.
- 16. Watkins KE, Vargha-Khadem F, Ashburner J, Passingham RE, Connelly A, et al. (2002) MRI analysis of an inherited speech and language disorder: structural brain abnormalities. Brain 125: 465–478.
- 17. Fisher SE, Marcus GF (2006) The eloquent ape: genes, brains and the evolution of language. Nat Rev Genet 7: 9–20.
- 18. Scharff C, Petri J (2011) Evo-devo, deep homology and FoxP2: implications for the evolution of speech and language. Philos Trans R Soc Lond B Biol Sci 366: 2124–2140.
- 19. Vernes SC, Newbury F, Abrahams BS, Winchester L, Nicod J, et al. (2008) A functional genetic link between distinct developmental language disorders. N Engl J Med 359: 2337–2345.
- 20. Nakabayashi K, Scherer SW (2001) The human contactin-associated protein-like 2 gene (CNTNAP2) spans over 2 Mb of DNA at chromosome 7q35. Genomics 73: 108–112.
- 21. Abrahams BS, Tentler D, Perederiy JV, Oldham MC, Coppola G, et al. (2007) Genome-wide analyses of human perisylvian cerebral cortical patterning. Proc Natl Acad Sci U S A 104: 17849–17854.
- 22. Zweier C, de Jong EK, Zweier M, Orrico A, Ousager LB, et al. (2009) CNTNAP2 and NRXN1 are mutated in autosomal-recessive Pitt-Hopkins-like mental retardation and determine the level of a common synaptic protein in Drosophila. Am J Hum Genet 85: 655–666.
- 23. Gregor A, Albrecht B, Bader I, Bijlsma EK, Ekici AB, et al. (2011) Expanding the clinical spectrum associated with defects in CNTNAP2 and NRXN1. BMC Med Genet 12: 106.
- 24. Strauss KA, Puffenberger EG, Huentelman MJ, Gottlieb S, Dobrin SE, et al. (2006) Recessive symptomatic focal epilepsy and mutant contactin-associated protein-like 2. N Engl J Med 354: 1370–1377.
- 25. Alarcon M, Abrahams BS, Stone JL, Duvall JA, Perederiy JV, et al. (2008) Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene. Am J Hum Genet 82: 150–159.
- 26. Steer CD, Golding J, Bolton PF (2010) Traits contributing to the autistic spectrum. PLoS One 5: e12633.
- 27. Poot M, Beyer V, Schwaab I, Damatova N, Van’t Slot R, et al. (2010) Disruption of CNTNAP2 and additional structural genome changes in a boy with speech delay and autism spectrum disorder. Neurogenetics 11: 81–89.
- 28. Newbury DF, Paracchini S, Scerri TS, Winchester L, Addis L, et al. (2011) Investigation of dyslexia and SLI risk variants in reading- and language-impaired subjects. Behav Genet 41: 90–104.
- 29. Peter B, Raskind WH, Matsushita M, Lisowski M, Vu T, et al. (2011) Replication of CNTNAP2 association with nonword repetition and support for FOXP2 association with timed reading and motor activities in a dyslexia family sample. J Neurodev Disord 3: 39–49.
- 30. Whitehouse AJ, Bishop DV, Ang QW, Pennell CE, Fisher SE (2011) CNTNAP2 variants affect early language development in the general population. Genes Brain Behav 10: 451–456.
- 31. Whalley HC, O’Connell G, Sussmann JE, Peel A, Stanfield AC, et al. (2011) Genetic variation in CNTNAP2 alters brain function during linguistic processing in healthy individuals. Am J Med Genet B Neuropsychiatr Genet 156B: 941–948.
- 32. Snijders TM (2010) More than words. Neural and genetic dynamics of syntactic unification. Nijmegen, ISBN 978–90–9025391–6: Radboud University Nijmegen. DOI: https://doi.org/http://hdl.handle.net/2066/77569. Radboud Repository website. Available http://repository.ubn.ru.nl/bitstream/2066/77569/1/77569.pdf accessed 2012 September 23.
- 33. Folia V, Forkstam C, Ingvar M, Hagoort P, Petersson KM (2011) Implicit artificial syntax processing: genes, preference, and bounded recursion. Biolinguistics 5: 105–132.
- 34. Arking DE, Cutler DJ, Brune CW, Teslovich TM, West K, et al. (2008) A common genetic variant in the neurexin superfamily member CNTNAP2 increases familial risk of autism. Am J Hum Genet 82: 160–164.
- 35. Hagoort P, Brown C, Groothusen J (1993) The syntactic positive shift (Sps) as an ERP measure of syntactic processing. Lang Cogn Process 8: 439–483.
- 36. Kos M, Vosse T, Van den Brink D, Hagoort P (2010) About edible restaurants:conflicts between syntax and semantics as revealed by ERPs. Front Psychol 1: 222 DOI: 10.3389/fpsyg.2010.00222.
- 37. Hasting AS, Kotz SA (2008) Speeding up syntax: on the relative timing and automaticity of local phrase structure and morphosyntactic processing as reflected in event-related brain potentials. J Cogn Neurosci 20: 1207–1219.
- 38. Mancini S, Molinaro N, Rizzi L, Carreiras M (2011) A person is not a number: Discourse involvement in subject-verb agreement computation. Brain Res 1410: 64–76.
- 39. Hagoort P (2003) How the brain solves the binding problem for language: A neurocomputational model of syntactic processing. Neuroimage 20: S18–S29.
- 40. Hagoort P (2009) Reflections on the neurobiology of syntax. In: Bickerton D, Szathmáry E, editors. Biological foundations and origin of syntax. Cambridge, Massachusetts: MIT Press.
- 41. Friederici AD (2002) Towards a neural basis of auditory sentence processing. Trends in Cognitive Sciences 6: 78–84.
- 42. Bornkessel-Schlesewsky I, Kretzschmar F, Tune S, Wang L, Genc S, et al. (2011) Think globally: Cross-linguistic variation in electrophysiological activity during sentence comprehension. Brain Lang 117: 133–152.
- 43. Van de Meerendonk N, Kolk HHJ, Chwilla DJ, Vissers CTWM (2009) Monitoring in language perception. Lang Linguist Compass 3: 1211–1224.
- 44. Molinaro N, Barber HA, Carreiras M (2011) Grammatical agreement processing in reading: ERP findings and future directions. Cortex 47: 908–930.
- 45. Osterhout L, Mobley LA (1995) Event-related brain potentials elicited by failure to agree. J Mem Lang 34: 739–773.
- 46. Friederici AD, Pfeifer E, Hahne A (1993) Event-related brain potentials during natural speech processing: effects of semantic, morphological and syntactic violations. Brain Res Cogn Brain Res 1: 183–192.
- 47. Hagoort P, Hald L, Bastiaansen M, Petersson KM (2004) Integration of word meaning and world knowledge in language comprehension. Science 304: 438–441.
- 48. Van den Brink D, Brown CM, Hagoort P (2001) Electrophysiological evidence for early contextual influences during spoken-word recognition: N200 versus N400 effects. J Cogn Neurosci 13: 967–985.
- 49. Swaab TY, Brown C, Hagoort P (1997) Spoken sentence comprehension in aphasia: Event-related potential evidence for a lexical integration deficit. J Cogn Neurosci 9: 39–66.
- 50. Kutas M, Hillyard SA (1980) Reading senseless sentences - Brain potentials reflect semantic incongruity. Science 207: 203–205.
- 51. Kutas M, Hillyard SA (1984) Brain potentials during reading reflect word expectancy and semantic association. Nature 307: 161–163.
- 52. Baggio G, Hagoort P (2011) The balance between memory and unification in semantics: towards a dynamic account of the N400. Lang Cogn Process 26: 1338–1367.
- 53. Kutas M, Federmeier KD (2011) Thirty Years and Counting: Finding Meaning in the N400 Component of the Event-Related Brain Potential (ERP). Annu Rev Psychol 62: 621–647.
- 54. Laszlo S, Federmeier KD (2011) The N400 as a snapshot of interactive processing: Evidence from regression analyses of orthographic neighbor and lexical associate effects. Psychophysiology 48: 176–186.
- 55. Baaijen RH, Piepenbrock R, Van Rijn H (1993) The CELEX lexical database (CD-ROM). Philadelphia: Linguistic Data Consortium, University of Pennsylvania.
- 56. Kolk HHJ, Chwilla DJ, Van Herten M, Oor PJW (2003) Structure and limited capacity in verbal working memory: A study with event-related potentials. Brain Lang 85: 1–36.
- 57. Van der Beek L, Bouma G, Malouf R, van Noord G, editors (2001) The alpino dependency treebank. Amsterdam: Rodopi. 8–22.
- 58. Van de Meerendonk N, Indefrey P, Chwilla DJ, Kolk HHJ (2011) Monitoring in language perception: Electrophysiological and hemodynamic responses to spelling violations. Neuroimage 54: 2350–2363.
- 59. Kuperberg GR, Sitnikova T, Lakshmanan BM (2008) Neuroanatomical distinctions within the semantic system during sentence comprehension: evidence from functional magnetic resonance imaging. Neuroimage 40: 367–388.
- 60. Pijnacker J, Geurts B, van Lambalgen M, Buitelaar J, Hagoort P (2010) Exceptions and anomalies: an ERP study on context sensitivity in autism. Neuropsychologia 48: 2940–2951.
- 61. Gold R, Faust M, Goldstein A (2010) Semantic integration during metaphor comprehension in Asperger syndrome. Brain Lang 113: 124–134.