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Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges

The human cerebral cortex is connected by intricate inter-areal wiring at the macroscale. The cortical hierarchy from primary sensorimotor to higher-order association areas is a unifying organizational principle across various neurobiological properties; however, previous studies have not clarified...

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Autores principales: Yang, Hang, Wu, Guowei, Li, Yaoxin, Ma, Yiyao, Chen, Runsen, Pines, Adam, Xu, Ting, Sydnor, Valerie J., Satterthwaite, Theodore D., Cui, Zaixu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028904/
https://www.ncbi.nlm.nih.gov/pubmed/36945479
http://dx.doi.org/10.1101/2023.03.08.531800
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author Yang, Hang
Wu, Guowei
Li, Yaoxin
Ma, Yiyao
Chen, Runsen
Pines, Adam
Xu, Ting
Sydnor, Valerie J.
Satterthwaite, Theodore D.
Cui, Zaixu
author_facet Yang, Hang
Wu, Guowei
Li, Yaoxin
Ma, Yiyao
Chen, Runsen
Pines, Adam
Xu, Ting
Sydnor, Valerie J.
Satterthwaite, Theodore D.
Cui, Zaixu
author_sort Yang, Hang
collection PubMed
description The human cerebral cortex is connected by intricate inter-areal wiring at the macroscale. The cortical hierarchy from primary sensorimotor to higher-order association areas is a unifying organizational principle across various neurobiological properties; however, previous studies have not clarified whether the connections between cortical regions exhibit a similar hierarchical pattern. Here, we identify a connectional hierarchy indexed by inter-individual variability of functional connectivity edges, which continuously progresses along a hierarchical gradient from within-network connections to between-network edges connecting sensorimotor and association networks. We found that this connectional hierarchy of variability aligns with both hemodynamic and electromagnetic connectivity strength and is constrained by structural connectivity strength. Moreover, the patterning of connectional hierarchy is related to inter-regional similarity in transcriptional and neurotransmitter receptor profiles. Using the Neurosynth cognitive atlas and cortical vulnerability maps in 13 brain disorders, we found that the connectional hierarchy of variability is associated with similarity networks of cognitive relevance and that of disorder vulnerability. Finally, we found that the prominence of this hierarchical gradient of connectivity variability declines during youth. Together, our results reveal a novel hierarchal organizational principle at the connectional level that links multimodal and multiscale human connectomes to individual variability in functional connectivity.
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spelling pubmed-100289042023-03-22 Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges Yang, Hang Wu, Guowei Li, Yaoxin Ma, Yiyao Chen, Runsen Pines, Adam Xu, Ting Sydnor, Valerie J. Satterthwaite, Theodore D. Cui, Zaixu bioRxiv Article The human cerebral cortex is connected by intricate inter-areal wiring at the macroscale. The cortical hierarchy from primary sensorimotor to higher-order association areas is a unifying organizational principle across various neurobiological properties; however, previous studies have not clarified whether the connections between cortical regions exhibit a similar hierarchical pattern. Here, we identify a connectional hierarchy indexed by inter-individual variability of functional connectivity edges, which continuously progresses along a hierarchical gradient from within-network connections to between-network edges connecting sensorimotor and association networks. We found that this connectional hierarchy of variability aligns with both hemodynamic and electromagnetic connectivity strength and is constrained by structural connectivity strength. Moreover, the patterning of connectional hierarchy is related to inter-regional similarity in transcriptional and neurotransmitter receptor profiles. Using the Neurosynth cognitive atlas and cortical vulnerability maps in 13 brain disorders, we found that the connectional hierarchy of variability is associated with similarity networks of cognitive relevance and that of disorder vulnerability. Finally, we found that the prominence of this hierarchical gradient of connectivity variability declines during youth. Together, our results reveal a novel hierarchal organizational principle at the connectional level that links multimodal and multiscale human connectomes to individual variability in functional connectivity. Cold Spring Harbor Laboratory 2023-03-10 /pmc/articles/PMC10028904/ /pubmed/36945479 http://dx.doi.org/10.1101/2023.03.08.531800 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Yang, Hang
Wu, Guowei
Li, Yaoxin
Ma, Yiyao
Chen, Runsen
Pines, Adam
Xu, Ting
Sydnor, Valerie J.
Satterthwaite, Theodore D.
Cui, Zaixu
Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges
title Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges
title_full Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges
title_fullStr Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges
title_full_unstemmed Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges
title_short Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges
title_sort connectional hierarchy in human brain revealed by individual variability of functional network edges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028904/
https://www.ncbi.nlm.nih.gov/pubmed/36945479
http://dx.doi.org/10.1101/2023.03.08.531800
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