Multimodal Imaging Brain Markers in Early Adolescence Are Linked with a Physically Active Lifestyle

被引：9

作者：

Salvan, Piergiorgio ^{[1
]}

Wassenaar, Thomas ^{[1
]}

Wheatley, Catherine ^{[1
]}

Beale, Nicholas ^{[2
]}

Cottaar, Michiel ^{[1
]}

Papp, Daniel ^{[1
]}

Bastiani, Matteo ^{[1
,3
,4
]}

Fitzgibbon, Sean ^{[1
]}

Duff, Euguene ^{[1
]}

Andersson, Jesper ^{[1
]}

Winkler, Anderson M. ^{[5
,6
]}

Douaud, Gwenaelle ^{[1
]}

Nichols, Thomas E. ^{[1
,7
,8
]}

Smith, Stephen ^{[1
]}

Dawes, Helen ^{[2
]}

Johansen-Berg, Heidi ^{[1
]}

机构：

[1] Univ Oxford, John Radcliffe Hosp, Nuffield Dept Clin Neurosci, Wellcome Ctr Integrat Neuroimaging,FMRIB Ctr, Oxford OX3 9DU, England

[2] Oxford Brookes Univ, Ctr Movement Occupat & Rehabil Sci, Oxford OX3 0BP, England

[3] Univ Nottingham, Sir Peter Mansfield Imaging Ctr, Sch Med, Nottingham NG7 2RD, England

[4] Univ Nottingham, Natl Inst Hlth Res, Biomed Res Ctr, Nottingham NG7 2UH, England

[5] NIMH, Emot & Dev Branch, NIH, Bethesda, MD 20892 USA

[6] Yale Univ, Dept Psychiat, Sch Med, New Haven, CT 06511 USA

[7] Univ Oxford, Nuffield Dept Populat Hlth, Li Ka Shing Ctr Hlth Informat & Discovery, Oxford Big Data Inst, Oxford OX3 7LF, England

[8] Univ Warwick, Dept Stat, Coventry CV4 7AL, W Midlands, England

来源：

JOURNAL OF NEUROSCIENCE | 2021年 / 41卷 / 05期

基金：

英国医学研究理事会; 英国惠康基金;

关键词：

adolescence; canonical correlation analysis; fitness; lifestyle; multimodal MRI; physical activity; INDEPENDENT COMPONENT ANALYSIS; CEREBRAL-BLOOD-FLOW; AEROBIC FITNESS; WHITE-MATTER; HIPPOCAMPAL VOLUME; EXERCISE; SEGMENTATION; NEUROGENESIS; ROBUST; OPTIMIZATION;

D O I：

10.1523/JNEUROSCI.1260-20.2020

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

The World Health Organization promotes physical exercise and a healthy lifestyle as means to improve youth development. However, relationships between physical lifestyle and human brain development are not fully understood. Here, we asked whether a human brain-physical latent mode of covariation underpins the relationship between physical activity, fitness, and physical health measures with multimodal neuroimaging markers. In 50 12-year old school pupils (26 females), we acquired multimodal whole-brain MRI, characterizing brain structure, microstructure, function, myelin content, and blood perfusion. We also acquired physical variables measuring objective fitness levels, 7 d physical activity, body mass index, heart rate, and blood pressure. Using canonical correlation analysis, we unravel a latent mode of brain-physical covariation, independent of demographics, school, or socioeconomic status. We show that MRI metrics with greater involvement in this mode also showed spatially extended patterns across the brain. Specifically, global patterns of greater gray matter perfusion, volume, cortical surface area, greater white matter extra-neurite density, and resting state networks activity covaried positively with measures reflecting a physically active phenotype (high fit, low sedentary individuals). Showing that a physically active lifestyle is linked with systems-level brain MRI metrics, these results suggest widespread associations relating to several biological processes. These results support the notion of close brain-body relationships and underline the importance of investigating modifiable lifestyle factors not only for physical health but also for brain health early in adolescence.

引用

页码：1092 / 1104

页数：13

共 74 条

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