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: | Journal Article |
Language: | English |
Published: |
2022
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Online Access: | https://hdl.handle.net/10356/162752 |
_version_ | 1811679746537291776 |
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author | Burger, Bianca Nenning, Karl-Heinz Schwartz, Ernst Margulies, Daniel S. Goulas, Alexandros Liu, Hesheng Neubauer, Simon Dauwels, Justin Prayer, Daniela Langs, Georg |
author2 | Energy Research Institute @ NTU (ERI@N) |
author_facet | Energy Research Institute @ NTU (ERI@N) Burger, Bianca Nenning, Karl-Heinz Schwartz, Ernst Margulies, Daniel S. Goulas, Alexandros Liu, Hesheng Neubauer, Simon Dauwels, Justin Prayer, Daniela Langs, Georg |
author_sort | Burger, Bianca |
collection | NTU |
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 | 2024-10-01T03:14:03Z |
format | Journal Article |
id | ntu-10356/162752 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:14:03Z |
publishDate | 2022 |
record_format | dspace |
spelling | ntu-10356/1627522022-11-12T23:31:27Z Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment Burger, Bianca Nenning, Karl-Heinz Schwartz, Ernst Margulies, Daniel S. Goulas, Alexandros Liu, Hesheng Neubauer, Simon Dauwels, Justin Prayer, Daniela Langs, Georg Energy Research Institute @ NTU (ERI@N) Engineering::Computer science and engineering Inter-Subject Variability Heritability 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. Nanyang Technological University Published version This work was supported by the Medical University of Vienna, the Austrian Research Fund (FWF) [grants P 35189, P 34198, and I 3925-B27] in collaboration with the French National Research Agency (ANR), the Vienna Science and Technology Fund (WWTF) [LS20-065], the European Research Council Grant [866533-CORTIGRAD], the National Natural Science Foundation of China [Grant No. 81790652, No.81790650] and the NAM Advanced Biomedical Imaging Program [FY2016] between Nanyang Technological University, Singapore and Medical University of Vienna, Austria. 2022-11-08T01:50:42Z 2022-11-08T01:50:42Z 2022 Journal Article Burger, B., Nenning, K., Schwartz, E., Margulies, D. S., Goulas, A., Liu, H., Neubauer, S., Dauwels, J., Prayer, D. & Langs, G. (2022). Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment. NeuroImage, 247, 118770-. https://dx.doi.org/10.1016/j.neuroimage.2021.118770 1053-8119 https://hdl.handle.net/10356/162752 10.1016/j.neuroimage.2021.118770 34861392 2-s2.0-85121149700 247 118770 en NeuroImage © 2021 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf |
spellingShingle | Engineering::Computer science and engineering Inter-Subject Variability Heritability Burger, Bianca Nenning, Karl-Heinz Schwartz, Ernst Margulies, Daniel S. Goulas, Alexandros Liu, Hesheng Neubauer, Simon Dauwels, Justin Prayer, Daniela Langs, Georg Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment |
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 | Engineering::Computer science and engineering Inter-Subject Variability Heritability |
url | https://hdl.handle.net/10356/162752 |
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