Cargando…

Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism

The focal lesion alters the excitation–inhibition (E–I) balance and healthy functional connectivity patterns, which may recover over time. One possible mechanism for the brain to counter the insult is global reshaping functional connectivity alterations. However, the operational principles by which...

Descripción completa

Detalles Bibliográficos
Autores principales: Chakraborty, Priyanka, Saha, Suman, Deco, Gustavo, Banerjee, Arpan, Roy, Dipanjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409568/
https://www.ncbi.nlm.nih.gov/pubmed/37559936
http://dx.doi.org/10.1093/texcom/tgad012
_version_ 1785086275295903744
author Chakraborty, Priyanka
Saha, Suman
Deco, Gustavo
Banerjee, Arpan
Roy, Dipanjan
author_facet Chakraborty, Priyanka
Saha, Suman
Deco, Gustavo
Banerjee, Arpan
Roy, Dipanjan
author_sort Chakraborty, Priyanka
collection PubMed
description The focal lesion alters the excitation–inhibition (E–I) balance and healthy functional connectivity patterns, which may recover over time. One possible mechanism for the brain to counter the insult is global reshaping functional connectivity alterations. However, the operational principles by which this can be achieved remain unknown. We propose a novel equivalence principle based on structural and dynamic similarity analysis to predict whether specific compensatory areas initiate lost E–I regulation after lesion. We hypothesize that similar structural areas (SSAs) and dynamically similar areas (DSAs) corresponding to a lesioned site are the crucial dynamical units to restore lost homeostatic balance within the surviving cortical brain regions. SSAs and DSAs are independent measures, one based on structural similarity properties measured by Jaccard Index and the other based on post-lesion recovery time. We unravel the relationship between SSA and DSA by simulating a whole brain mean field model deployed on top of a virtually lesioned structural connectome from human neuroimaging data to characterize global brain dynamics and functional connectivity at the level of individual subjects. Our results suggest that wiring proximity and similarity are the 2 major guiding principles of compensation-related utilization of hemisphere in the post-lesion functional connectivity re-organization process.
format Online
Article
Text
id pubmed-10409568
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-104095682023-08-09 Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism Chakraborty, Priyanka Saha, Suman Deco, Gustavo Banerjee, Arpan Roy, Dipanjan Cereb Cortex Commun Original Article The focal lesion alters the excitation–inhibition (E–I) balance and healthy functional connectivity patterns, which may recover over time. One possible mechanism for the brain to counter the insult is global reshaping functional connectivity alterations. However, the operational principles by which this can be achieved remain unknown. We propose a novel equivalence principle based on structural and dynamic similarity analysis to predict whether specific compensatory areas initiate lost E–I regulation after lesion. We hypothesize that similar structural areas (SSAs) and dynamically similar areas (DSAs) corresponding to a lesioned site are the crucial dynamical units to restore lost homeostatic balance within the surviving cortical brain regions. SSAs and DSAs are independent measures, one based on structural similarity properties measured by Jaccard Index and the other based on post-lesion recovery time. We unravel the relationship between SSA and DSA by simulating a whole brain mean field model deployed on top of a virtually lesioned structural connectome from human neuroimaging data to characterize global brain dynamics and functional connectivity at the level of individual subjects. Our results suggest that wiring proximity and similarity are the 2 major guiding principles of compensation-related utilization of hemisphere in the post-lesion functional connectivity re-organization process. Oxford University Press 2023-07-17 /pmc/articles/PMC10409568/ /pubmed/37559936 http://dx.doi.org/10.1093/texcom/tgad012 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Chakraborty, Priyanka
Saha, Suman
Deco, Gustavo
Banerjee, Arpan
Roy, Dipanjan
Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism
title Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism
title_full Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism
title_fullStr Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism
title_full_unstemmed Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism
title_short Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism
title_sort structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409568/
https://www.ncbi.nlm.nih.gov/pubmed/37559936
http://dx.doi.org/10.1093/texcom/tgad012
work_keys_str_mv AT chakrabortypriyanka structuralanddynamicalsimilaritypredictscompensatorybrainareasdrivingthepostlesionfunctionalrecoverymechanism
AT sahasuman structuralanddynamicalsimilaritypredictscompensatorybrainareasdrivingthepostlesionfunctionalrecoverymechanism
AT decogustavo structuralanddynamicalsimilaritypredictscompensatorybrainareasdrivingthepostlesionfunctionalrecoverymechanism
AT banerjeearpan structuralanddynamicalsimilaritypredictscompensatorybrainareasdrivingthepostlesionfunctionalrecoverymechanism
AT roydipanjan structuralanddynamicalsimilaritypredictscompensatorybrainareasdrivingthepostlesionfunctionalrecoverymechanism