Optimization of energy state transition trajectory supports the development of executive function during youth

eLife

Shi Gu¹  Fabio Pasqualetti²  Richard F Betzel³  Zhixin Lu⁴  Jennifer Stiso⁴  Jason Z Kim⁴  Xiaosong He⁴  Christos Davatzikos⁵  Danielle S Bassett⁶  Russell T Shinohara⁷  Rastko Ciric⁸  Tyler M Moore⁸  Ruben C Gur⁸  Kosha Ruparel⁸  David R Roalf⁸  Raquel E Gur⁸  Theodore D Satterthwaite⁸  Zaixu Cui⁸  Cedric H Xia⁸  Graham L Baum⁸  Desmond J Oathes⁸ 

[1] Department of Computer Science, University of Electronic Science and Technology, Chengdu, China;Department of Mechanical Engineering, University of California, Riverside, United States;Department of Psychological and Brain Sciences, Indiana University, Bloomington, United States;Departments of Bioengineering, University of Pennsylvania, Philadelphia, United States;Departments of Bioengineering, University of Pennsylvania, Philadelphia, United States;Departments of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, United States;Departments of Bioengineering, University of Pennsylvania, Philadelphia, United States;Departments of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, United States;Departments of Physics and Astronomy and Neurology, University of Pennsylvania, Philadelphia, United States;Departments of Neurology, University of Pennsylvania, Philadelphia, United States;Santa Fe Institute, Santa Fe, United States;Departments of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, United States;Departments of Psychiatry, University of Pennsylvania, Philadelphia, United States;

关键词: adolescence;    development;    diffusion MRI;    network;    energy;    Human;   

DOI  :  10.7554/eLife.53060

来源: publisher

【 摘 要 】

Executive function develops during adolescence, yet it remains unknown how structural brain networks mature to facilitate activation of the fronto-parietal system, which is critical for executive function. In a sample of 946 human youths (ages 8-23y) who completed diffusion imaging, we capitalized upon recent advances in linear dynamical network control theory to calculate the energetic cost necessary to activate the fronto-parietal system through the control of multiple brain regions given existing structural network topology. We found that the energy required to activate the fronto-parietal system declined with development, and the pattern of regional energetic cost predicts unseen individuals’ brain maturity. Finally, energetic requirements of the cingulate cortex were negatively correlated with executive performance, and partially mediated the development of executive performance with age. Our results reveal a mechanism by which structural networks develop during adolescence to reduce the theoretical energetic costs of transitions to activation states necessary for executive function.

【 授权许可】

CC BY