Developmental and aging resting functional magnetic resonance imaging brain state adaptations in adolescents and adults: A large N (>47K) study

Author:

Abrol Anees1ORCID,Fu Zening1,Du Yuhui2,Wilson Tony W.3ORCID,Wang Yu‐Ping45,Stephen Julia M.6ORCID,Calhoun Vince D.1

Affiliation:

1. Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, and Emory University Atlanta Georgia USA

2. School of Computer & Information Technology Shanxi University Taiyuan China

3. Boys Town National Research Hospital Institute for Human Neuroscience Boys Town Nebraska USA

4. Department of Biomedical Engineering Tulane University New Orleans Louisiana USA

5. Department of Global Biostatistics and Data Science Tulane University New Orleans Louisiana USA

6. The Mind Research Network Albuquerque New Mexico USA

Abstract

AbstractThe brain's functional architecture and organization undergo continual development and modification throughout adolescence. While it is well known that multiple factors govern brain maturation, the constantly evolving patterns of time‐resolved functional connectivity are still unclear and understudied. We systematically evaluated over 47,000 youth and adult brains to bridge this gap, highlighting replicable time‐resolved developmental and aging functional brain patterns. The largest difference between the two life stages was captured in a brain state that indicated coherent strengthening and modularization of functional coupling within the auditory, visual, and motor subdomains, supplemented by anticorrelation with other subdomains in adults. This distinctive pattern, which we replicated in independent data, was consistently less modular or absent in children and presented a negative association with age in adults, thus indicating an overall inverted U‐shaped trajectory. This indicates greater synchrony, strengthening, modularization, and integration of the brain's functional connections beyond adolescence, and gradual decline of this pattern during the healthy aging process. We also found evidence that the developmental changes may also bring along a departure from the canonical static functional connectivity pattern in favor of more efficient and modularized utilization of the vast brain interconnections. State‐based statistical summary measures presented robust and significant group differences that also showed significant age‐related associations. The findings reported in this article support the idea of gradual developmental and aging brain state adaptation processes in different phases of life and warrant future research via lifespan studies to further authenticate the projected time‐resolved brain state trajectories.

Funder

National Institutes of Health

National Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

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