Brain network modularity predicts changes in cortical thickness in children involved in a physical activity intervention,Psychophysiology

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Brain network modularity predicts changes in cortical thickness in children involved in a physical activity intervention
Psychophysiology ( IF 2.9 ) Pub Date : 2021-07-04 , DOI: 10.1111/psyp.13890
Laura Chaddock-Heyman _{1,

2} , Timothy B Weng ₃ , Psyche Loui ₂ , Caitlin Kienzler ₄ , Robert Weisshappel ₁ , Eric S Drollette ₅ , Lauren B Raine ₂ , Daniel Westfall ₂ , Shih-Chun Kao ₆ , Dominika M Pindus _{1,

7,

8} , Pauline Baniqued _{9,

10} , Darla M Castelli ₁₁ , Charles H Hillman _{2,

12} , Arthur F Kramer _{1,

2}

Affiliation

Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Department of Psychology, Northeastern University, Boston, MA, USA.
Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, USA.
Department of Psychology, University of Colorado, Denver, CO, USA.
Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA.
Health and Kinesiology, Purdue University, West Lafayette, IN, USA.
Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA.
Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, USA.
Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA, USA.

Individual differences in brain network modularity at baseline can predict improvements in cognitive performance after cognitive and physical interventions. This study is the first to explore whether brain network modularity predicts changes in cortical brain structure in 8- to 9-year-old children involved in an after-school physical activity intervention (N = 62), relative to children randomized to a wait-list control group (N = 53). For children involved in the physical activity intervention, brain network modularity at baseline predicted greater decreases in cortical thickness in the anterior frontal cortex and parahippocampus. Further, for children involved in the physical activity intervention, greater decrease in cortical thickness was associated with improvements in cognitive efficiency. The relationships among baseline modularity, changes in cortical thickness, and changes in cognitive performance were not present in the wait-list control group. Our exploratory study has promising implications for the understanding of brain network modularity as a biomarker of intervention-related improvements with physical activity.

中文翻译：

大脑网络模块化预测参与体育活动干预的儿童皮质厚度的变化

基线大脑网络模块化的个体差异可以预测认知和身体干预后认知表现的改善。这项研究首次探讨了大脑网络模块化是否可以预测参与课后体育活动干预的 8 至 9 岁儿童（ N = 62）的皮质大脑结构的变化，相对于随机分配到等待的儿童列出对照组（ N = 53）。对于参与体育活动干预的儿童，基线时的大脑网络模块化预测前额叶皮层和海马旁回的皮质厚度会出现更大的减少。此外，对于参与体育活动干预的儿童来说，皮质厚度的更大减少与认知效率的提高相关。等待名单对照组中不存在基线模块化、皮质厚度变化和认知表现变化之间的关系。我们的探索性研究对于理解大脑网络模块化作为与身体活动干预相关的改善的生物标志物具有积极的意义。

更新日期：2021-09-03

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