4.7 Article

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

期刊

JOURNAL OF NEUROSCIENCE
卷 41, 期 5, 页码 1092-1104

出版社

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.1260-20.2020

关键词

adolescence; canonical correlation analysis; fitness; lifestyle; multimodal MRI; physical activity

资金

  1. Education Endowment Foundation
  2. Wellcome Trust Education and Neuroscience Program [2681]
  3. Wellcome Trust [203139/Z/16/Z, 100309/Z/12/Z]
  4. Oxford National Institute for Health Research Biomedical Research Center
  5. United Kingdom Medical Research Council [MR/K006673/1]
  6. MRC [MR/K006673/1] Funding Source: UKRI

向作者/读者索取更多资源

This study investigated the relationship between physical activity and brain development, revealing a latent mode of brain-physical covariation where an active lifestyle is associated with brain MRI metrics, indicating widespread biological associations.
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.

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