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Amelink, J., Postema, M., Kong, X., Schijven, D., Carrion Castillo, A., Soheili-Nezhad, S., Sha, Z., Molz, B., Joliot, M., Fisher, S. E., & Francks, C. (2024). Imaging genetics of language network functional connectivity reveals links with language-related abilities, dyslexia and handedness. Communications Biology, 7: 1209. doi:10.1038/s42003-024-06890-3.
Abstract
Language is supported by a distributed network of brain regions with a particular contribution from the left hemisphere. A multi-level understanding of this network requires studying the genetic architecture of its functional connectivity and hemispheric asymmetry. We used resting state functional imaging data from 29,681 participants from the UK Biobank to measure functional connectivity between 18 left-hemisphere regions implicated in multimodal sentence-level processing, as well as their homotopic regions in the right-hemisphere, and interhemispheric connections. Multivariate genome-wide association analysis of this total network, based on common genetic variants (with population frequencies above 1%), identified 14 loci associated with network functional connectivity. Three of these loci were also associated with hemispheric differences of intrahemispheric connectivity. Polygenic dispositions to lower language-related abilities, dyslexia and left-handedness were associated with generally reduced leftward asymmetry of functional connectivity, but with some trait- and connection-specific exceptions. Exome-wide association analysis based on rare, protein-altering variants (frequencies < 1%) suggested 7 additional genes. These findings shed new light on the genetic contributions to language network connectivity and its asymmetry based on both common and rare genetic variants, and reveal genetic links to language-related traits and hemispheric dominance for hand preference. -
Kurth, F., Schijven, D., Van den Heuvel, O. A., Hoogman, M., Van Rooij, D., Stein, D. J., Buitelaar, J. K., Bölte, S., Auzias, G., Kushki, A., Venkatasubramanian, G., Rubia, K., Bollmann, S., Isaksson, J., Jaspers-Fayer, F., Marsh, R., Batistuzzo, M. C., Arnold, P. D., Bressan, R. A., Stewart, E. S. Kurth, F., Schijven, D., Van den Heuvel, O. A., Hoogman, M., Van Rooij, D., Stein, D. J., Buitelaar, J. K., Bölte, S., Auzias, G., Kushki, A., Venkatasubramanian, G., Rubia, K., Bollmann, S., Isaksson, J., Jaspers-Fayer, F., Marsh, R., Batistuzzo, M. C., Arnold, P. D., Bressan, R. A., Stewart, E. S., Gruner, P., Sorensen, L., Pan, P. M., Silk, T. J., Gur, R. C., Cubillo, A. I., Haavik, J., O'Gorman Tuura, R. L., Hartman, C. A., Calvo, R., McGrath, J., Calderoni, S., Jackowski, A., Chantiluke, K. C., Satterthwaite, T. D., Busatto, G. F., Nigg, J. T., Gur, R. E., Retico, A., Tosetti, M., Gallagher, L., Szeszko, P. R., Neufeld, J., Ortiz, A. E., Ghisleni, C., Lazaro, L., Hoekstra, P. J., Anagnostou, E., Hoekstra, L., Simpson, B., Plessen, J. K., Deruelle, C., Soreni, N., James, A., Narayanaswamy, J., Reddy, J. Y. C., Fitzgerald, J., Bellgrove, M. A., Salum, G. A., Janssen, J., Muratori, F., Vila, M., Garcia Giral, M., Ameis, S. H., Bosco, P., Lundin Remnélius, K., Huyser, C., Pariente, J. C., Jalbrzikowski, M., Rosa, P. G. P., O'Hearn, K. M., Ehrlich, S., Mollon, J., Zugman, A., Christakou, A., Arango, C., Fisher, S. E., Kong, X., Franke, B., Medland, S. E., Thomopoulos, S. I., Jahanshad, N., Glahn, D. C., Thompson, P. M., Francks, C., & Luders, E. (2024). Large-scale analysis of structural brain asymmetries during neurodevelopment: Age effects and sex differences in 4,265 children and adolescents. Human Brain Mapping, 45(11): e26754. doi:10.1002/hbm.26754.
Abstract
Only a small number of studies have assessed structural differences between the two hemispheres during childhood and adolescence. However, the existing findings lack consistency or are restricted to a particular brain region, a specific brain feature, or a relatively narrow age range. Here, we investigated associations between brain asymmetry and age as well as sex in one of the largest pediatric samples to date (n = 4265), aged 1–18 years, scanned at 69 sites participating in the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium. Our study revealed that significant brain asymmetries already exist in childhood, but their magnitude and direction depend on the brain region examined and the morphometric measurement used (cortical volume or thickness, regional surface area, or subcortical volume). With respect to effects of age, some asymmetries became weaker over time while others became stronger; sometimes they even reversed direction. With respect to sex differences, the total number of regions exhibiting significant asymmetries was larger in females than in males, while the total number of measurements indicating significant asymmetries was larger in males (as we obtained more than one measurement per cortical region). The magnitude of the significant asymmetries was also greater in males. However, effect sizes for both age effects and sex differences were small. Taken together, these findings suggest that cerebral asymmetries are an inherent organizational pattern of the brain that manifests early in life. Overall, brain asymmetry appears to be relatively stable throughout childhood and adolescence, with some differential effects in males and females. -
Wong, M. M. K., Sha, Z., Lütje, L., Kong, X., Van Heukelum, S., Van de Berg, W. D. J., Jonkman, L. E., Fisher, S. E., & Francks, C. (2024). The neocortical infrastructure for language involves region-specific patterns of laminar gene expression. Proceedings of the National Academy of Sciences of the United States of America, 121(34): e2401687121. doi:10.1073/pnas.2401687121.
Abstract
The language network of the human brain has core components in the inferior frontal cortex and superior/middle temporal cortex, with left-hemisphere dominance in most people. Functional specialization and interconnectivity of these neocortical regions is likely to be reflected in their molecular and cellular profiles. Excitatory connections between cortical regions arise and innervate according to layer-specific patterns. Here we generated a new gene expression dataset from human postmortem cortical tissue samples from core language network regions, using spatial transcriptomics to discriminate gene expression across cortical layers. Integration of these data with existing single-cell expression data identified 56 genes that showed differences in laminar expression profiles between frontal and temporal language cortex together with upregulation in layer II/III and/or layer V/VI excitatory neurons. Based on data from large-scale genome-wide screening in the population, DNA variants within these 56 genes showed set-level associations with inter-individual variation in structural connectivity between left-hemisphere frontal and temporal language cortex, and with predisposition to dyslexia. The axon guidance genes SLIT1 and SLIT2 were consistently implicated. These findings identify region-specific patterns of laminar gene expression as a feature of the brain’s language network.
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