Elevating understanding: Linking high-altitude hypoxia to brain aging through EEG functional connectivity and spectral analyses

Carlos Coronel-Oliveros, Vicente Medel, Grace Alma Whitaker, Aland Astudillo, David Gallagher, Lucía Z-Rivera, Pavel Prado, Wael El-Deredy, Patricio Orio*, Alejandro Weinstein*

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

4 Citas (Scopus)

Resumen

High-altitude hypoxia triggers brain function changes reminiscent of those in healthy aging and Alzheimer’s disease, compromising cognition and executive functions. Our study sought to validate high-altitude hypoxia as a model for assessing brain activity disruptions akin to aging. We collected EEG data from 16 healthy volunteers during acute high-altitude hypoxia (at 4,000 masl) and at sea level, focusing on relative changes in power and aperiodic slope of the EEG spectrum due to hypoxia. Additionally, we examined functional connectivity using wPLI, and functional segregation and integration using graph theory tools. High altitude led to slower brain oscillations, that is, increased δ and reduced α power, and flattened the 1/f aperiodic slope, indicating higher electrophysiological noise, akin to healthy aging. Notably, functional integration strengthened in the θ band, exhibiting unique topographical patterns at the subnetwork level, including increased frontocentral and reduced occipitoparietal integration. Moreover, we discovered significant correlations between subjects’ age, 1/f slope, θ band integration, and observed robust effects of hypoxia after adjusting for age. Our findings shed light on how reduced oxygen levels at high altitudes influence brain activity patterns resembling those in neurodegenerative disorders and aging, making high-altitude hypoxia a promising model for comprehending the brain in health and disease.

Idioma originalInglés
Páginas (desde-hasta)275-292
Número de páginas18
PublicaciónNetwork Neuroscience
Volumen8
N.º1
DOI
EstadoPublicada - 2024

Nota bibliográfica

Publisher Copyright:
© 2024 Massachusetts Institute of Technology.

Áreas temáticas de ASJC Scopus

  • Neurociencias General
  • Informática aplicada
  • Inteligencia artificial
  • Matemáticas aplicadas

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