Physical fitness, cognition, and structural network efficiency of brain connections across the lifespan

被引:7
作者
Callow, Daniel D. [1 ,2 ]
Smith, J. Carson [1 ,2 ,3 ]
机构
[1] Univ Maryland, Dept Kinesiol, College Pk, MD USA
[2] Univ Maryland, Program Neurosci & Cognit Sci, College Pk, MD USA
[3] Univ Maryland, Dept Kinesiol, College Pk, MD 20742 USA
关键词
Connectome; Cardiorespiratory fitness; Exercise; Graph theory; Diffusion Imaging; AGE; DEMENTIA; HEALTH; TRAIL; ORGANIZATION; ASSOCIATION; EXERCISE;
D O I
10.1016/j.neuropsychologia.2023.108527
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Inadequate levels of exercise is one of the most potent modifiable risk factors for preventing cognitive decline and dementia as we age. Meanwhile, network science-based measures of structural brain network global and local efficiency show promise as robust biomarkers of aging, cognitive decline, and pathological disease pro-gression. Despite this, little to no work has established how maintaining physical activity (PA) and physical fitness might relate to cognition and network efficiency measures across the lifespan. Therefore the purpose of this study was to determine the relationship between (1) PA and fitness and cognition, (2) fitness and network efficiency, and (3) how network efficiency measures relate to cognition. To accomplish this, we analyzed a large cross-sectional data set (n = 720; 36-100 years) from the aging human connectome project, which included the Trail Making Task (TMT) A and B, a measure of fitness (2-min walk test), physical activity (International Physical Activity Questionnaire), and high-resolution diffusion imaging data. Our analysis consisted of employing mul-tiple linear regression while controlling for age, sex, and education. Age was associated with lower global and local brain network efficiency and poorer Trail A & B performance. Meanwhile, fitness, but not physical activity, was related to better Trail A and B performance and fitness, and was positively associated with local and global brain efficiency. Finally, local efficiency was related to better TMT B performance and partially mediated the relationship between fitness and TMT B performance. These results indicate aging may be associated with a shift towards less efficient local and global neural networks and that maintaining physical fitness might protect against age-related cognitive performance deterioration by bolstering structural network efficiency.
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收藏
页数:9
相关论文
共 77 条
[41]   Brain Networks and Cognitive Architectures [J].
Petersen, Steven E. ;
Sporns, Olaf .
NEURON, 2015, 88 (01) :207-219
[42]   Effects of age and dementia on the trail making test [J].
Rasmusson, DX ;
Zonderman, AB ;
Kawas, C ;
Resnick, SM .
CLINICAL NEUROPSYCHOLOGIST, 1998, 12 (02) :169-178
[43]   Motor assessment using the NIH Toolbox [J].
Reuben, David B. ;
Magasi, Susan ;
McCreath, Heather E. ;
Bohannon, Richard W. ;
Wang, Ying-Chih ;
Bubela, Deborah J. ;
Rymer, William Z. ;
Beaumont, Jennifer ;
Rine, Rose Marie ;
Lai, Jin-Shei ;
Gershon, Richard C. .
NEUROLOGY, 2013, 80 :S65-S75
[44]   Complex network measures of brain connectivity: Uses and interpretations [J].
Rubinov, Mikail ;
Sporns, Olaf .
NEUROIMAGE, 2010, 52 (03) :1059-1069
[45]   What cognitive abilities are involved in trail-making performance? [J].
Salthouse, Timothy A. .
INTELLIGENCE, 2011, 39 (04) :222-232
[46]   When does age-related cognitive decline begin? [J].
Salthouse, Timothy A. .
NEUROBIOLOGY OF AGING, 2009, 30 (04) :507-514
[47]   Network structural dependency in the human connectome across the life-span [J].
Schirmer, Markus D. ;
Chung, Ai Wern ;
Grant, P. Ellen ;
Rost, Natalia S. .
NETWORK NEUROSCIENCE, 2019, 3 (03) :792-806
[48]  
Seiler S., 2020, Alzheimers Dement, V16, pe044563, DOI [10.1002/alz.044563, DOI 10.1002/ALZ.044563]
[49]   Network Efficiency Mediates the Relationship Between Vascular Burden and Cognitive Impairment A Diffusion Tensor Imaging Study in UK Biobank [J].
Shen, Jun ;
Tozer, Daniel J. ;
Markus, Hugh S. ;
Tay, Jonathan .
STROKE, 2020, 51 (06) :1682-1689
[50]  
Smith R.E., 2022, APERTURE NEURO, DOI DOI 10.52294/APERTURENEURO.2022.2.NEOD9565