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Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort

PURPOSE: Functional magnetic resonance imaging (fMRI) and functional connectivity (FC) have been used to follow aging in both children and older adults. Robust changes have been observed in children, where high connectivity among all brain regions changes to a more modular structure with maturation....

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Autores principales: Orlichenko, Anton, Su, Kuan-Jui, Tian, Qing, Shen, Hui, Deng, Hong-Wen, Wang, Yu-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462217/
https://www.ncbi.nlm.nih.gov/pubmed/37645791
http://dx.doi.org/10.1101/2023.08.15.23294133
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author Orlichenko, Anton
Su, Kuan-Jui
Tian, Qing
Shen, Hui
Deng, Hong-Wen
Wang, Yu-Ping
author_facet Orlichenko, Anton
Su, Kuan-Jui
Tian, Qing
Shen, Hui
Deng, Hong-Wen
Wang, Yu-Ping
author_sort Orlichenko, Anton
collection PubMed
description PURPOSE: Functional magnetic resonance imaging (fMRI) and functional connectivity (FC) have been used to follow aging in both children and older adults. Robust changes have been observed in children, where high connectivity among all brain regions changes to a more modular structure with maturation. In this work, we examine changes in FC in older adults after two years of aging in the UK Biobank longitudinal cohort. APPROACH: We process data using the Power264 atlas, then test whether FC changes in the 2,722-subject longitudinal cohort are statistically significant using a Bonferroni-corrected t-test. We also compare the ability of Power264 and UKB-provided, ICA-based FC to determine which of a longitudinal scan pair is older. RESULTS: We find a 6.8% average increase in SMT-VIS connectivity from younger to older scan (from [Formula: see text] to [Formula: see text]) that occurs in male, female, older subject (> 65 years old), and younger subject (< 55 years old) groups. Among all inter-network connections, this average SMT-VIS connectivity is the best predictor of relative scan age, accurately predicting which scan is older 57% of the time. Using the full FC and a training set of 2,000 subjects, one is able to predict which scan is older 82.5% of the time using either the full Power264 FC or the UKB-provided ICA-based FC. CONCLUSIONS: We conclude that SMT-VIS connectivity increases in the longitudinal cohort, while resting state FC increases generally with age in the cross-sectional cohort. However, we consider the possibility of a change in resting state scanner task between UKB longitudinal data acquisitions.
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spelling pubmed-104622172023-08-29 Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort Orlichenko, Anton Su, Kuan-Jui Tian, Qing Shen, Hui Deng, Hong-Wen Wang, Yu-Ping medRxiv Article PURPOSE: Functional magnetic resonance imaging (fMRI) and functional connectivity (FC) have been used to follow aging in both children and older adults. Robust changes have been observed in children, where high connectivity among all brain regions changes to a more modular structure with maturation. In this work, we examine changes in FC in older adults after two years of aging in the UK Biobank longitudinal cohort. APPROACH: We process data using the Power264 atlas, then test whether FC changes in the 2,722-subject longitudinal cohort are statistically significant using a Bonferroni-corrected t-test. We also compare the ability of Power264 and UKB-provided, ICA-based FC to determine which of a longitudinal scan pair is older. RESULTS: We find a 6.8% average increase in SMT-VIS connectivity from younger to older scan (from [Formula: see text] to [Formula: see text]) that occurs in male, female, older subject (> 65 years old), and younger subject (< 55 years old) groups. Among all inter-network connections, this average SMT-VIS connectivity is the best predictor of relative scan age, accurately predicting which scan is older 57% of the time. Using the full FC and a training set of 2,000 subjects, one is able to predict which scan is older 82.5% of the time using either the full Power264 FC or the UKB-provided ICA-based FC. CONCLUSIONS: We conclude that SMT-VIS connectivity increases in the longitudinal cohort, while resting state FC increases generally with age in the cross-sectional cohort. However, we consider the possibility of a change in resting state scanner task between UKB longitudinal data acquisitions. Cold Spring Harbor Laboratory 2023-08-25 /pmc/articles/PMC10462217/ /pubmed/37645791 http://dx.doi.org/10.1101/2023.08.15.23294133 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Orlichenko, Anton
Su, Kuan-Jui
Tian, Qing
Shen, Hui
Deng, Hong-Wen
Wang, Yu-Ping
Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort
title Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort
title_full Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort
title_fullStr Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort
title_full_unstemmed Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort
title_short Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort
title_sort somatomotor-visual resting state functional connectivity increases after two years in the uk biobank longitudinal cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462217/
https://www.ncbi.nlm.nih.gov/pubmed/37645791
http://dx.doi.org/10.1101/2023.08.15.23294133
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