Dynamic reconfiguration of brain coactivation states that underlying working memory correlates with cognitive decline in clinically unimpaired older adults

Author:

Li Linling1,Chen Zaili12,Zhang Li1,Zhang Min3,Liu Honghai4,Wu Donghui5,Ren Ping5,Zhang Zhiguo36

Affiliation:

1. Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, International Health Science Innovation Center, Shenzhen University Medical School, Shenzhen University , 1066 Xueyuan Avenue, Nanshan District, Shenzhen, 518055, China

2. Minzu Normal University of Xingyi , No. 1 Xingyi Road, Mulong Street, Xingyi, Guizhou, 562400, China

3. Department of Computer Science and Technology, Harbin Institute of Technology , HIT Campus of University Town of Shenzhen, NanShan District, Shenzhen, 518055, China

4. State Key Laboratory of Robotics and Systems, Harbin Institute of Technology , HIT Campus of University Town of Shenzhen, NanShan District, Shenzhen, 518055, China

5. Department of Geriatric Psychiatry, Shenzhen Mental Health Center/Shenzhen Kangning Hospital , 1080 Cuizhu Road, Luohu District, Shenzhen, 518003, China

6. Peng Cheng Laboratory , 2 Xingke 1st Street, Nanshan District, Shenzhen, 518055, China

Abstract

Abstract Impairments in working memory (WM) are evident in both clinically diagnosed patients with mild cognitive decline and older adults at risk, as indicated by lower scores on neuropsychological tests. Examining the WM-related neural signatures in at-risk older adults becomes essential for timely intervention. WM functioning relies on dynamic brain activities, particularly within the frontoparietal system. However, it remains unclear whether the cognitive decline would be reflected in the decreased dynamic reconfiguration of brain coactivation states during WM tasks. We enrolled 47 older adults and assessed their cognitive function using the Montreal Cognitive Assessment. The temporal dynamics of brain coactivations during a WM task were investigated through graph-based time-frame modularity analysis. Four primary recurring states emerged: two task-positive states with positive activity in the frontoparietal system (dorsal attention and central executive); two task-negative states with positive activity in the default mode network accompanied by negative activity in the frontoparietal networks. Heightened WM load was associated with increased flexibility of the frontoparietal networks, but the cognitive decline was correlated with reduced capacity for neuroplastic changes in response to increased task demands. These findings advance our understanding of aberrant brain reconfiguration linked to cognitive decline, potentially aiding early identification of at-risk individuals.

Funder

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions

Shenzhen Science and Technology Innovation Commission Fund

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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