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Published on: May 23, 2011
Alterations in static and dynamic topological properties of brain functional network after chronic high altitude
Siyao Zeng1, Yang Zhou1, Sijia Guo1
1The Ministry of Education Key Laboratory of Hazard Assessment and Control in Special Operational Environments, Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, Shaanxi Provincial Key Laboratory of Free Radical Biology and Medicine, Department of Occupational and Environmental Health, School of Public Health, Fourth Military Medical University, Xi'an, China.
High-altitude exposure impairs cognition by altering brain network dynamics. Increased variability in characteristic path length and global efficiency correlates with cognitive decline, highlighting functional instability in hypoxia.
Area of Science:
- Neuroscience
- Cognitive Science
- Medical Imaging
Background:
- Long-term high-altitude (HA) exposure to hypoxic environments is linked to cognitive impairments.
- The specific topological alterations in brain networks underlying these cognitive changes remain poorly understood.
- This study explores graph-based brain network topology in chronic HA-induced cognitive changes.
Purpose of the Study:
- To investigate static and dynamic graph-based topological characteristics of brain networks.
- To examine how these topological alterations contribute to cognitive impairments after chronic HA exposure.
- To identify key brain regions involved in HA-induced network changes.
Main Methods:
- Longitudinal study of 49 college freshmen moving from low altitude to HA Tibet.
- Cognitive assessments and resting-state functional MRI (rs-fMRI) at baseline, 2, and 4 years.
- Analysis of nodal and global network properties using graph theory.
Main Results:
- Persistent cognitive function impairments were observed after prolonged HA exposure.
- The left superior parietal gyrus, left inferior parietal lobule, and right Heschl's gyrus were identified as key nodes.
- Dynamic global network metrics, including characteristic path length (Lp) and global efficiency (Eglob) variances, increased over time and correlated with cognitive decline.
Conclusions:
- Variances in characteristic path length (Lp) and global efficiency (Eglob) significantly contribute to chronic hypoxia-induced cognitive impairment.
- Dynamic functional instability, indicated by altered fluctuations in Lp and Eglob, plays a crucial role in hypoxia-related cognitive decline.
- These findings offer novel insights into the neural mechanisms of cognitive impairment in HA environments.
