Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment
The human brain varies across individuals in its morphology, function, and cognitive capacities. Variability is particularly high in phylogenetically modern regions associated with higher order cognitive abilities, but its relationship to the layout and strength of functional networks is poorly unde...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-02-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811921010429 |
| _version_ | 1798015974296780800 |
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| author | Bianca Burger Karl-Heinz Nenning Ernst Schwartz Daniel S. Margulies Alexandros Goulas Hesheng Liu Simon Neubauer Justin Dauwels Daniela Prayer Georg Langs |
| author_facet | Bianca Burger Karl-Heinz Nenning Ernst Schwartz Daniel S. Margulies Alexandros Goulas Hesheng Liu Simon Neubauer Justin Dauwels Daniela Prayer Georg Langs |
| author_sort | Bianca Burger |
| collection | DOAJ |
| description | The human brain varies across individuals in its morphology, function, and cognitive capacities. Variability is particularly high in phylogenetically modern regions associated with higher order cognitive abilities, but its relationship to the layout and strength of functional networks is poorly understood. In this study we disentangled the variability of two key aspects of functional connectivity: strength and topography. We then compared the genetic and environmental influences on these two features. Genetic contribution is heterogeneously distributed across the cortex and differs for strength and topography. In heteromodal areas genes predominantly affect the topography of networks, while their connectivity strength is shaped primarily by random environmental influence such as learning. We identified peak areas of genetic control of topography overlapping with parts of the processing stream from primary areas to network hubs in the default mode network, suggesting the coordination of spatial configurations across those processing pathways. These findings provide a detailed map of the diverse contribution of heritability and individual experience to the strength and topography of functional brain architecture. |
| first_indexed | 2024-04-11T15:43:23Z |
| format | Article |
| id | doaj.art-27d2039c197b4d869767fa044ade4cbe |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-11T15:43:23Z |
| publishDate | 2022-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-27d2039c197b4d869767fa044ade4cbe2022-12-22T04:15:40ZengElsevierNeuroImage1095-95722022-02-01247118770Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environmentBianca Burger0Karl-Heinz Nenning1Ernst Schwartz2Daniel S. Margulies3Alexandros Goulas4Hesheng Liu5Simon Neubauer6Justin Dauwels7Daniela Prayer8Georg Langs9Department of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna 1090, AustriaDepartment of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna 1090, Austria; Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, United StatesDepartment of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna 1090, AustriaUniversité de Paris, CNRS, Integrative Neuroscience and Cognition Center, 75006 Paris, France; Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, United KingdomInstitute for Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg University, Martinstr. 52, 20246 Hamburg, GermanyDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, 29466, USAsDepartment of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, GermanyTU Delft Fac. EEMCS Mekelweg 4 2628 CD Delft; Nayang Technological University, 639798, SingaporeDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculo-skeletal Radiology, Medical University of Vienna, Vienna 1090, AustriaDepartment of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna 1090, Austria; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, United States; Corresponding author at: Department of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna 1090, Austria.The human brain varies across individuals in its morphology, function, and cognitive capacities. Variability is particularly high in phylogenetically modern regions associated with higher order cognitive abilities, but its relationship to the layout and strength of functional networks is poorly understood. In this study we disentangled the variability of two key aspects of functional connectivity: strength and topography. We then compared the genetic and environmental influences on these two features. Genetic contribution is heterogeneously distributed across the cortex and differs for strength and topography. In heteromodal areas genes predominantly affect the topography of networks, while their connectivity strength is shaped primarily by random environmental influence such as learning. We identified peak areas of genetic control of topography overlapping with parts of the processing stream from primary areas to network hubs in the default mode network, suggesting the coordination of spatial configurations across those processing pathways. These findings provide a detailed map of the diverse contribution of heritability and individual experience to the strength and topography of functional brain architecture.http://www.sciencedirect.com/science/article/pii/S1053811921010429inter-subject variabilityheritabilityfunctional magnetic resonance imagingfunctional connectivitytopography |
| spellingShingle | Bianca Burger Karl-Heinz Nenning Ernst Schwartz Daniel S. Margulies Alexandros Goulas Hesheng Liu Simon Neubauer Justin Dauwels Daniela Prayer Georg Langs Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment NeuroImage inter-subject variability heritability functional magnetic resonance imaging functional connectivity topography |
| title | Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment |
| title_full | Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment |
| title_fullStr | Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment |
| title_full_unstemmed | Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment |
| title_short | Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment |
| title_sort | disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment |
| topic | inter-subject variability heritability functional magnetic resonance imaging functional connectivity topography |
| url | http://www.sciencedirect.com/science/article/pii/S1053811921010429 |
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