Investigating dynamic brain functional redundancy as a mechanism of cognitive reserve

被引：0

作者：

Schwarz, Julia ^{[1
]}

Zistler, Franziska ^{[1
]}

Usheva, Adriana ^{[1
]}

Fix, Anika ^{[1
]}

Zinn, Sebastian ^{[2
]}

Zimmermann, Juliana ^{[1
]}

Knolle, Franziska ^{[3
,4
]}

Schneider, Gerhard ^{[1
]}

Nuttall, Rachel ^{[1
]}

机构：

[1] Tech Univ Munich, Sch Med & Hlth, Dept Anesthesiol & Intens Care, Munich, Germany

[2] Columbia Univ, Dept Anesthesiol, New York, NY USA

[3] Tech Univ Munich, Sch Med & Hlth, Dept Neuroradiol, Munich, Germany

[4] Tech Univ Munich, TUM Neuroimaging Ctr, Sch Med & Hlth, Munich, Germany

来源：

FRONTIERS IN AGING NEUROSCIENCE | 2025年 / 17卷

关键词：

cognitive reserve; brain functional redundancy; age-related brain changes; functional magnetic resonance imaging (fMRI); dynamic functional connectivity; AGE-RELATED-CHANGES; WORKING-MEMORY; CORTICAL THICKNESS; ENTORHINAL CORTEX; MATTER VOLUME; SURFACE-AREA; DEMENTIA; EDUCATION; NETWORK; DISEASE;

D O I：

10.3389/fnagi.2025.1535657

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

摘要：

Introduction Individuals with higher cognitive reserve (CR) are thought to be more resilient to the effects of age-related brain changes on cognitive performance. A potential mechanism of CR is redundancy in brain network functional connectivity (BFR), which refers to the amount of time the brain spends in a redundant state, indicating the presence of multiple independent pathways between brain regions. These can serve as back-up information processing routes, providing resiliency in the presence of stress or disease. In this study we aimed to investigate whether BFR modulates the association between age-related brain changes and cognitive performance across a broad range of cognitive domains.Methods An open-access neuroimaging and behavioral dataset (n = 301 healthy participants, 18-89 years) was analyzed. Cortical gray matter (GM) volume, cortical thickness and brain age, extracted from structural T1 images, served as our measures of life-course related brain changes (BC). Cognitive scores were extracted from principal component analysis performed on 13 cognitive tests across multiple cognitive domains. Multivariate linear regression tested the modulating effect of BFR on the relationship between age-related brain changes and cognitive performance.Results PCA revealed three cognitive test components related to episodic, semantic and executive functioning. Increased BFR predicted reduced performance in episodic functioning when considering cortical thickness and GM volume as measures of BC. BFR significantly modulated the relationship between cortical thickness and episodic functioning. We found neither a predictive nor modulating effect of BFR on semantic or executive performance, nor a significant effect when defining BC via brain age.Discussion Our results suggest that BFR could serve as a metric of CR when considering certain cognitive domains, specifically episodic functioning, and defined dimensions of BC. These findings potentially indicate the presence of multiple underlying mechanisms of CR.

引用

页数：13

共 96 条

[1] A Systematic Review for Functional Neuroimaging Studies of Cognitive Reserve Across the Cognitive Aging Spectrum [J].

Anthony, Mia ;

Lin, Feng .

ARCHIVES OF CLINICAL NEUROPSYCHOLOGY, 2018, 33 (08) :937-948

[2] Sex and gender differences in cognitive resilience to aging and Alzheimer's disease [J].

Arenaza-Urquijo, Eider M. ;

Boyle, Rory ;

Casaletto, Kaitlin ;

Anstey, Kaarin J. ;

Vila-Castelar, Clara ;

Colverson, Aaron ;

Palpatzis, Eleni ;

Eissman, Jaclyn M. ;

Ng, Ted Kheng Siang ;

Raghavan, Sheelakumari ;

Akinci, Muge ;

Vonk, Jet M. J. ;

Machado, Luiza S. ;

Zanwar, Preeti P. ;

Shrestha, Hom L. ;

Wagner, Maude ;

Tamburin, Stefano ;

Sohrabi, Hamid R. ;

Loi, Samantha ;

Bartres-Faz, David ;

Dubal, Dena B. ;

Prashanthi, Vemuri ;

Okonkwo, Ozioma ;

Hohman, Timothy J. ;

Ewers, Michael ;

Buckley, Rachel F. .

ALZHEIMERS & DEMENTIA, 2024, 20 (08) :5695-5719

[3]

Baliga Vikram B, 2023, Zenodo, DOI 10.5281/ZENODO.4270187

[4] MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide [J].

Bashyam, Vishnu M. ;

Erus, Guray ;

Doshi, Jimit ;

Habes, Mohamad ;

Nasralah, Ilya ;

Truelove-Hill, Monica ;

Srinivasan, Dhivya ;

Mamourian, Liz ;

Pomponio, Raymond ;

Fan, Yong ;

Launer, Lenore J. ;

Masters, Colin L. ;

Maruff, Paul ;

Zhuo, Chuanjun ;

Volzke, Henry ;

Johnson, Sterling C. ;

Fripp, Jurgen ;

Koutsouleris, Nikolaos ;

Satterthwaite, Theodore D. ;

Wolf, Daniel ;

Gur, Raquel E. ;

Gur, Ruben C. ;

Morris, John ;

Albert, Marilyn S. ;

Grabe, Hans J. ;

Resnick, Susan ;

Bryan, R. Nick ;

Wolk, David A. ;

Shou, Haochang ;

Davatzikos, Christos .

BRAIN, 2020, 143 :2312-2324

[5] Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme [J].

Beheshti, Iman ;

Nugent, Scott ;

Potvin, Olivier ;

Duchesne, Simon .

NEUROIMAGE-CLINICAL, 2019, 24

[6]

Beinhoff U, 2009, Int J Alzheimers Dis, V2009, DOI 10.4061/2009/638145

[7] Education modifies the relation of AD pathology to level of cognitive function in older persons [J].

Bennett, DA ;

Wilson, RS ;

Schneider, JA ;

Evans, DA ;

de Leon, CFM ;

Arnold, SE ;

Barnes, LL ;

Bienias, JL .

NEUROLOGY, 2003, 60 (12) :1909-1915

[8] Brain charts for the human lifespan [J].

Bethlehem, R. A. I. ;

Seidlitz, J. ;

White, S. R. ;

Vogel, J. W. ;

Anderson, K. M. ;

Adamson, C. ;

Adler, S. ;

Alexopoulos, G. S. ;

Anagnostou, E. ;

Areces-Gonzalez, A. ;

Astle, D. E. ;

Auyeung, B. ;

Ayub, M. ;

Bae, J. ;

Ball, G. ;

Baron-Cohen, S. ;

Beare, R. ;

Bedford, S. A. ;

Benegal, V. ;

Beyer, F. ;

Blangero, J. ;

Blesa Cabez, M. ;

Boardman, J. P. ;

Borzage, M. ;

Bosch-Bayard, J. F. ;

Bourke, N. ;

Calhoun, V. D. ;

Chakravarty, M. M. ;

Chen, C. ;

Chertavian, C. ;

Chetelat, G. ;

Chong, Y. S. ;

Cole, J. H. ;

Corvin, A. ;

Costantino, M. ;

Courchesne, E. ;

Crivello, F. ;

Cropley, V. L. ;

Crosbie, J. ;

Crossley, N. ;

Delarue, M. ;

Delorme, R. ;

Desrivieres, S. ;

Devenyi, G. A. ;

Di Biase, M. A. ;

Dolan, R. ;

Donald, K. A. ;

Donohoe, G. ;

Dunlop, K. ;

Edwards, A. D. .

NATURE, 2022, 604 (7906) :525-+

[9] MRI of entorhinal cortex in mild Alzheimer's disease [J].

Bobinski, M ;

de Leon, MJ ;

Convit, A ;

De Santi, S ;

Wegiel, B ;

Tarshish, CY ;

Saint Louis, LA ;

Wisniewski, HM .

LANCET, 1999, 353 (9146) :38-40

[10]

Bottenhorn K., 2021, J. Open Source Softw, V6, P3669, DOI DOI 10.21105/JOSS.03669

← 1 2 3 4 5 6 7 8 9 10 →