Publications

Displaying 1 - 7 of 7
  • 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.
  • Schijven, D., Soheili-Nezhad, S., Fisher, S. E., & Francks, C. (2024). Exome-wide analysis implicates rare protein-altering variants in human handedness. Nature Communications, 15: 2632. doi:10.1038/s41467-024-46277-w.

    Abstract

    Handedness is a manifestation of brain hemispheric specialization. Left-handedness occurs at increased rates in neurodevelopmental disorders. Genome-wide association studies have identified common genetic effects on handedness or brain asymmetry, which mostly involve variants outside protein-coding regions and may affect gene expression. Implicated genes include several that encode tubulins (microtubule components) or microtubule-associated proteins. Here we examine whether left-handedness is also influenced by rare coding variants (frequencies ≤ 1%), using exome data from 38,043 left-handed and 313,271 right-handed individuals from the UK Biobank. The beta-tubulin gene TUBB4B shows exome-wide significant association, with a rate of rare coding variants 2.7 times higher in left-handers than right-handers. The TUBB4B variants are mostly heterozygous missense changes, but include two frameshifts found only in left-handers. Other TUBB4B variants have been linked to sensorineural and/or ciliopathic disorders, but not the variants found here. Among genes previously implicated in autism or schizophrenia by exome screening, DSCAM and FOXP1 show evidence for rare coding variant association with left-handedness. The exome-wide heritability of left-handedness due to rare coding variants was 0.91%. This study reveals a role for rare, protein-altering variants in left-handedness, providing further evidence for the involvement of microtubules and disorder-relevant genes.
  • Soheili-Nezhad, S., Schijven, D., Mars, R. B., Fisher, S. E., & Francks, C. (2024). Distinct impact modes of polygenic disposition to dyslexia in the adult brain. Science Advances, 10(51): eadq2754. doi:10.1126/sciadv.adq2754.

    Abstract

    Dyslexia is a common condition that impacts reading ability. Identifying affected brain networks has been hampered by limited sample sizes of imaging case-control studies. We focused instead on brain structural correlates of genetic disposition to dyslexia in large-scale population data. In over 30,000 adults (UK Biobank), higher polygenic disposition to dyslexia was associated with lower head and brain size, and especially reduced volume and/or altered fiber density in networks involved in motor control, language and vision. However, individual genetic variants disposing to dyslexia often had quite distinct patterns of association with brain structural features. Independent component analysis applied to brain-wide association maps for thousands of dyslexia-disposing genetic variants revealed multiple impact modes on the brain, that corresponded to anatomically distinct areas with their own genomic profiles of association. Polygenic scores for dyslexia-related cognitive and educational measures, as well as attention-deficit/hyperactivity disorder, showed similarities to dyslexia polygenic disposition in terms of brain-wide associations, with microstructure of the internal capsule consistently implicated. In contrast, lower volume of the primary motor cortex was only associated with higher dyslexia polygenic disposition among all traits. These findings robustly reveal heterogeneous neurobiological aspects of dyslexia genetic disposition, and whether they are shared or unique with respect to other genetically correlated traits.

    Additional information

    link to preprint
  • Schijven, D., Postema, M., Fukunaga, M., Matsumoto, J., Miura, K., De Zwarte, S. M., Van Haren, N. E. M., Cahn, W., Hulshoff Pol, H. E., Kahn, R. S., Ayesa-Arriola, R., Ortiz-García de la Foz, V., Tordesillas-Gutierrez, D., Vázquez-Bourgon, J., Crespo-Facorro, B., Alnæs, D., Dahl, A., Westlye, L. T., Agartz, I., Andreassen, O. A. and 129 moreSchijven, D., Postema, M., Fukunaga, M., Matsumoto, J., Miura, K., De Zwarte, S. M., Van Haren, N. E. M., Cahn, W., Hulshoff Pol, H. E., Kahn, R. S., Ayesa-Arriola, R., Ortiz-García de la Foz, V., Tordesillas-Gutierrez, D., Vázquez-Bourgon, J., Crespo-Facorro, B., Alnæs, D., Dahl, A., Westlye, L. T., Agartz, I., Andreassen, O. A., Jönsson, E. G., Kochunov, P., Bruggemann, J. M., Catts, S. V., Michie, P. T., Mowry, B. J., Quidé, Y., Rasser, P. E., Schall, U., Scott, R. J., Carr, V. J., Green, M. J., Henskens, F. A., Loughland, C. M., Pantelis, C., Weickert, C. S., Weickert, T. W., De Haan, L., Brosch, K., Pfarr, J.-K., Ringwald, K. G., Stein, F., Jansen, A., Kircher, T. T., Nenadić, I., Krämer, B., Gruber, O., Satterthwaite, T. D., Bustillo, J., Mathalon, D. H., Preda, A., Calhoun, V. D., Ford, J. M., Potkin, S. G., Chen, J., Tan, Y., Wang, Z., Xiang, H., Fan, F., Bernardoni, F., Ehrlich, S., Fuentes-Claramonte, P., Garcia-Leon, M. A., Guerrero-Pedraza, A., Salvador, R., Sarró, S., Pomarol-Clotet, E., Ciullo, V., Piras, F., Vecchio, D., Banaj, N., Spalletta, G., Michielse, S., Van Amelsvoort, T., Dickie, E. W., Voineskos, A. N., Sim, K., Ciufolini, S., Dazzan, P., Murray, R. M., Kim, W.-S., Chung, Y.-C., Andreou, C., Schmidt, A., Borgwardt, S., McIntosh, A. M., Whalley, H. C., Lawrie, S. M., Du Plessis, S., Luckhoff, H. K., Scheffler, F., Emsley, R., Grotegerd, D., Lencer, R., Dannlowski, U., Edmond, J. T., Rootes-Murdy, K., Stephen, J. M., Mayer, A. R., Antonucci, L. A., Fazio, L., Pergola, G., Bertolino, A., Díaz-Caneja, C. M., Janssen, J., Lois, N. G., Arango, C., Tomyshev, A. S., Lebedeva, I., Cervenka, S., Sellgren, C. M., Georgiadis, F., Kirschner, M., Kaiser, S., Hajek, T., Skoch, A., Spaniel, F., Kim, M., Kwak, Y. B., Oh, S., Kwon, J. S., James, A., Bakker, G., Knöchel, C., Stäblein, M., Oertel, V., Uhlmann, A., Howells, F. M., Stein, D. J., Temmingh, H. S., Diaz-Zuluaga, A. M., Pineda-Zapata, J. A., López-Jaramillo, C., Homan, S., Ji, E., Surbeck, W., Homan, P., Fisher, S. E., Franke, B., Glahn, D. C., Gur, R. C., Hashimoto, R., Jahanshad, N., Luders, E., Medland, S. E., Thompson, P. M., Turner, J. A., Van Erp, T. G., & Francks, C. (2023). Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium. Proceedings of the National Academy of Sciences of the United States of America, 120(14): e2213880120. doi:10.1073/pnas.2213880120.

    Abstract

    Left–right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting in equivocal findings. We carried out the largest case–control study of structural brain asymmetries in schizophrenia, with MRI data from 5,080 affected individuals and 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global and regional cortical thickness, surface area, and subcortical volume measures. Differences of asymmetry were calculated between affected individuals and controls per dataset, and effect sizes were meta-analyzed across datasets. Small average case–control differences were observed for thickness asymmetries of the rostral anterior cingulate and the middle temporal gyrus, both driven by thinner left-hemispheric cortices in schizophrenia. Analyses of these asymmetries with respect to the use of antipsychotic medication and other clinical variables did not show any significant associations. Assessment of age- and sex-specific effects revealed a stronger average leftward asymmetry of pallidum volume between older cases and controls. Case–control differences in a multivariate context were assessed in a subset of the data (N = 2,029), which revealed that 7% of the variance across all structural asymmetries was explained by case–control status. Subtle case–control differences of brain macrostructural asymmetry may reflect differences at the molecular, cytoarchitectonic, or circuit levels that have functional relevance for the disorder. Reduced left middle temporal cortical thickness is consistent with altered left-hemisphere language network organization in schizophrenia.

    Additional information

    Supporting Information link to preprint
  • Sha, Z., Schijven, D., Fisher, S. E., & Francks, C. (2023). Genetic architecture of the white matter connectome of the human brain. Science Advances, 9(7): eadd2870. doi:10.1126/sciadv.add2870.

    Abstract

    White matter tracts form the structural basis of large-scale brain networks. We applied brain-wide tractography to diffusion images from 30,810 adults (U.K. Biobank) and found significant heritability for 90 node-level and 851 edge-level network connectivity measures. Multivariate genome-wide association analyses identified 325 genetic loci, of which 80% had not been previously associated with brain metrics. Enrichment analyses implicated neurodevelopmental processes including neurogenesis, neural differentiation, neural migration, neural projection guidance, and axon development, as well as prenatal brain expression especially in stem cells, astrocytes, microglia, and neurons. The multivariate association profiles implicated 31 loci in connectivity between core regions of the left-hemisphere language network. Polygenic scores for psychiatric, neurological, and behavioral traits also showed significant multivariate associations with structural connectivity, each implicating distinct sets of brain regions with trait-relevant functional profiles. This large-scale mapping study revealed common genetic contributions to variation in the structural connectome of the human brain.
  • Schijven, D., Sousa, V. C., Roelofs, J., Olivier, B., & Olivier, J. D. A. (2014). Serotonin 1A receptors and sexual behavior in a genetic model of depression. Pharmacology, Biochemistry and Behavior, 121, 82-87. doi:10.1016/j.pbb.2013.12.012.

    Abstract

    The Flinder Sensitive Line (FSL) is a rat strain that displays distinct behavioral and neurochemical features of major depression. Chronic selective serotonin reuptake inhibitors (SSRIs) are able to reverse these symptoms in FSL rats. It is well known that several abnormalities in the serotonergic system have been found in FSL rats, including increased 5-HT brain tissue levels and reduced 5-HT synthesis. SSRIs are known to exert (part of) their effects by desensitization of the 5-HT1A receptor and FSL rats appear to have lower 5-HT1A receptor densities compared with Flinder Resistant Line (FRL) rats. We therefore studied the sensitivity of this receptor on the sexual behavior performance in both FRL and FSL rats. First, basal sexual performance was studied after saline treatment followed by treatment of two different doses of the 5-HT1A receptor agonist ±8-OH-DPAT. Finally we measured the effect of a 5-HT1A receptor antagonist to check for specificity of the 5-HT1A receptor activation. Our results show that FSL rats have higher ejaculation frequencies compared with FRL rats which do not fit with a more depressive-like phenotype. Moreover FRL rats are more sensitive to effects of ±8-OH-DPAT upon EL and IF than FSL rats. The blunted response of FSL rats to the effects of ±8-OH-DPAT may be due to lower densities of 5-HT1A receptors.

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