Reorganization of resting state brain network functional connectivity across human brain developmental stages
Prerna Singh, Tapan Kumar Gandhi, Lalan Kumar

TL;DR
This study investigates how resting-state brain network connectivity changes across human development from childhood to old age, revealing patterns of network reorganization and segregation during healthy aging.
Contribution
It identifies four brain developmental stages and characterizes how functional connectivity within and between networks evolves with age using clustering and regression analyses.
Findings
Default Mode Network shows decreased segregation with age
Frontal Parietal Network shows increased segregation with age
Brain networks reorganize during different developmental stages
Abstract
The human brain is liable to undergo substantial alterations, anatomically and functionally with aging. Cognitive brain aging can either be healthy or degenerative in nature. Such degeneration of cognitive ability can lead to disorders such as Alzheimer's disease, dementia, schizophrenia, and multiple sclerosis. Furthermore, the brain network goes through various changes during healthy aging, and it is an active area of research. In this study, we have investigated the rs-functional connectivity of participants (in the age group of 7-89 years) using a publicly available HCP dataset. We have also explored how different brain networks are clustered using K-means clustering methods which have been further validated by the t-SNE algorithm. The changes in overall resting-state brain functional connectivity with changes in brain developmental stages have also been explored using BrainNet…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · EEG and Brain-Computer Interfaces · Neural dynamics and brain function
MethodsLinear Regression · k-Means Clustering
