The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging

被引:14
|
作者
Lavanga, Mario [1 ]
Stumme, Johanna [2 ,3 ,4 ]
Yalcinkaya, Bahar Hazal [1 ]
Fousek, Jan [1 ]
Jockwitz, Christiane [2 ,3 ,4 ]
Sheheitli, Hiba [1 ]
Bittner, Nora [2 ,3 ,4 ]
Hashemi, Meysam [1 ]
Petkoski, Spase [1 ]
Caspers, Svenja [2 ,3 ,4 ]
Jirsa, Viktor [1 ]
机构
[1] Aix Marseille Univ, Inst Neurosci Syst INS, Inserm, F-13005 Marseille, France
[2] Res Ctr Julich, Inst Neurosci & Med INM 1, Julich, Germany
[3] Heinrich Heine Univ Dusseldorf, Inst Anat 1, Med Fac, Dusseldorf, Germany
[4] Heinrich Heine Univ Dusseldorf, Univ Hosp Dusseldorf, Dusseldorf, Germany
关键词
White-matter degradation; Functional dedifferentiation; Functional connectivity; Structural connectivity; Aging; Cognitive decline; FUNCTIONAL CONNECTIVITY; SEX-DIFFERENCES; ANTERIOR SHIFT; WHITE-MATTER; OLDER-ADULTS; ORGANIZATION; ARCHITECTURE; MECHANISMS; STRATEGIES; MODELS;
D O I
10.1016/j.neuroimage.2023.120403
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The mechanisms of cognitive decline and its variability during healthy aging are not fully understood, but have been associated with reorganization of white matter tracts and functional brain networks. Here, we built a brain network modeling framework to infer the causal link between structural connectivity and functional architecture and the consequent cognitive decline in aging. By applying in-silico interhemispheric degradation of structural connectivity, we reproduced the process of functional dedifferentiation during aging. Thereby, we found the global modulation of brain dynamics by structural connectivity to increase with age, which was steeper in older adults with poor cognitive performance. We validated our causal hypothesis via a deep-learning Bayesian approach. Our results might be the first mechanistic demonstration of dedifferentiation during aging leading to cognitive decline.
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页数:13
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