Abstract:The influence of genes on cortical structures has been assessed through various phenotypes. The sulcal pits, which are the putative first cortical folds, have for long been assumed to be under tight genetic control, but this was never quantified. We estimated the pit depth heritability in various brain regions using the high quality and large sample size of the Human Connectome Project pedigree cohort. Analysis of additive genetic variance indicated that their heritability ranges between 0.2 and 0.5 and displa… Show more
“…We partially confirmed the results obtained in 63 . In particular, we found several medial frontal regions strongly heritable for sulcal surface area and width; our results confirm previous studies on the central sulcus 39 , the temporal lobe 59 and the corpus callosum area 64 and are also in line with studies showing high estimated heritability in prefrontal and temporal lobes for cortical thickness and surface area [65][66][67][68][69][70][71] , especially for sulcal mean depth and sulcal width.…”
The structure of the brain's cortical folds varies considerably in human populations. Specific patterns of cortical variation arise with development and aging, and cortical traits are partially influenced by genetic factors. The degree to which genetic factors affect cortical folding patterning remains unknown, yet may be estimated with large-scale in-vivo brain MRI. Using multiple MRI datasets from around the world, we estimated the reliability and heritability of sulcal morphometric characteristics including length, depth, width, and surface area, for 61 sulci per hemisphere of the human brain. Reliability was assessed across four distinct test-retest datasets. We meta-analyzed the heritability across three independent family-based cohorts (N > 3,000), and one cohort of largely unrelated individuals (N~9,000) to examine the robustness of our findings. Reliability was high ( interquartile range for ICC: 0.65-0.85) for sulcal metrics. Most sulcal measures were moderately to highly heritability (0.3-0.7). These genetic influences vary regionally, with the earlier forming sulci having higher heritability estimates. The central sulcus, the subcallosal and the collateral fissure were the most highly heritable regions. For some frontal and temporal sulci, left and right genetic influences did not completely overlap, suggesting some lateralization of genetic effects on the cortex.
“…We partially confirmed the results obtained in 63 . In particular, we found several medial frontal regions strongly heritable for sulcal surface area and width; our results confirm previous studies on the central sulcus 39 , the temporal lobe 59 and the corpus callosum area 64 and are also in line with studies showing high estimated heritability in prefrontal and temporal lobes for cortical thickness and surface area [65][66][67][68][69][70][71] , especially for sulcal mean depth and sulcal width.…”
The structure of the brain's cortical folds varies considerably in human populations. Specific patterns of cortical variation arise with development and aging, and cortical traits are partially influenced by genetic factors. The degree to which genetic factors affect cortical folding patterning remains unknown, yet may be estimated with large-scale in-vivo brain MRI. Using multiple MRI datasets from around the world, we estimated the reliability and heritability of sulcal morphometric characteristics including length, depth, width, and surface area, for 61 sulci per hemisphere of the human brain. Reliability was assessed across four distinct test-retest datasets. We meta-analyzed the heritability across three independent family-based cohorts (N > 3,000), and one cohort of largely unrelated individuals (N~9,000) to examine the robustness of our findings. Reliability was high ( interquartile range for ICC: 0.65-0.85) for sulcal metrics. Most sulcal measures were moderately to highly heritability (0.3-0.7). These genetic influences vary regionally, with the earlier forming sulci having higher heritability estimates. The central sulcus, the subcallosal and the collateral fissure were the most highly heritable regions. For some frontal and temporal sulci, left and right genetic influences did not completely overlap, suggesting some lateralization of genetic effects on the cortex.
“…For the sake of comparison, we propose to compare our study with previously published studies. Previous heritability studies that used approximately 800 subjects from the HCP, roughly as much as in our sample, obtained standard errors between 0.06 and 0.08 for phenotypes with heritability between 0.20 and 0.45 57,58 . Using the GCTA Power Calculator 55 with the default value for the variance of the single nucleotide polymorphism (SNP) derived genetic relationship matrix of 10 -5 , this range of standard errors and heritability estimates requires a sample size of 6000-7000 unrelated individuals.…”
Corresponding authors' information:Emails: yann.leguen@cea.fr (YLG), vincent.frouin@cea.fr (VF) 2 Cognitive performance is highly heritable. However, little is known about common genetic influences on cognitive ability and brain activation when engaged in a cognitive task. The Human Connectome Project (HCP) offers a unique opportunity to study this shared genetic etiology with an extended pedigree of 785 individuals. To investigate this common genetic origin, we took advantage of the HCP dataset, which includes both language and mathematics activation tasks. Using the HCP multimodal parcellation, we identified areals in which interindividual functional MRI (fMRI) activation variance was significantly explained by genetics.Then, we performed bivariate genetic analyses between the neural activations and behavioral scores, corresponding to the fMRI task accuracies, fluid intelligence, working memory and language performance. We observed that several parts of the language network along the superior temporal sulcus, as well as the angular gyrus belonging to the math processing network, are significantly genetically correlated with these indicators of cognitive performance. This shared genetic etiology provides insights into the brain areas where the human-specific genetic repertoire is expressed. Studying the association of polygenic risk scores, using variants associated with human cognitive ability and brain activation, would provide an opportunity to better understand where these variants are influential.
“…We performed a watershed algorithm on this group pit density, which yielded a group parcellation of the sulcal pits. We projected these group areas onto the individual meshes and identified areas denoted STS b, c, d (19). Then, we extracted the geodesic path of the vertices that follow the sulcal fundus on the white mesh between the deepest pits STS b and border STS c/d, which approximately correspond to the STAP Talaraich coordinates defined by Leroy et al (13).…”
Section: Methodsmentioning
confidence: 99%
“…We have previously examined the heritability (i.e., the genetic proportion in phenotypic variance across individuals) of STS characteristics. Because sulcal pits correspond to the deeper parts of sulci where the initial or primary folds would occur, they show less intersubject variability (19,20). In the left STAP area, the two sulcal pit regions (STS b and c in (19)) are highly heritable in contrast to the right STS yielding the largest asymmetric estimate of heritability for all brain sulci.…”
Section: Introductionmentioning
confidence: 99%
“…Because sulcal pits correspond to the deeper parts of sulci where the initial or primary folds would occur, they show less intersubject variability (19,20). In the left STAP area, the two sulcal pit regions (STS b and c in (19)) are highly heritable in contrast to the right STS yielding the largest asymmetric estimate of heritability for all brain sulci. In addition, the PPs that interrupt some sulci are more frequent and heritable in the left STS (h 2 = 0.53) than in the right (h 2 = 0.27) (17).…”
Uncovering the genes that contribute to the variability in brain regions involved in language processing might shed light on the evolution of brain structures essential to the emergence of language in Homo sapiens. The superior temporal asymmetrical pit (STAP), which is not observed in chimpanzees, represents an ideal phenotype to investigate the genetic variations that support human communication. The depth of the left STAP was significantly associated with a DACT1 enhancer region in the UK Biobank British discovery sample (N=16,515). This association was replicated in the IMAGEN cohort (N=1,726) and the UK Biobank non-British validation sample (N=2,161). This genomic region was also associated to a lesser extent with the right STAP depth and the formation of sulcal interruptions, plis de passage, in the bilateral STAP but not with other structural brain MRI phenotypes, highlighting its specific expression in the superior temporal regions. Diffusion MRI emphasized an association with the fractional anisotropy of the left auditory fibers of the corpus callosum and with networks involved in linguistic processing in resting-state functional MRI. Finally, DACT1 is mainly expressed during the first two trimesters of pregnancy just before the superior temporal sulcus becomes visible and the first evidence of speech processing is observed in preterm neonates. Overall, this evidence demonstrates a significant, specific relationship between variants in this genomic region and the establishment of the superior temporal regions that support human communication.
Significance statementThe search for "language genes" has mainly focused on families with language disorders. Here, using a macroscopic marker of cerebral asymmetry observed only in humans, the STAP, we discovered a genetic variant that modulates many anatomical and functional features of the superior temporal sulcus, particularly in the left hemisphere, in the general population. Whole-brain analyses showed that this modulation is nearly limited to the superior temporal region. Finally, the gene effect is most significant during the first six months of gestation, decreasing just before the appearance of thalamocortical connectivity that enables external auditory inputs. Thus, we uncovered a genomic region that probably contributes to building the networks underlying human language.
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