Reconfiguration of brain network dynamics underlying spatial deficits in subjective cognitive decline
Language English Country United States Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
37116409
DOI
10.1016/j.neurobiolaging.2023.03.006
PII: S0197-4580(23)00052-0
Knihovny.cz E-resources
- Keywords
- Brain dynamics, Hidden Markov model, Spatial navigation, Subjective cognitive decline,
- MeSH
- Cognitive Dysfunction * psychology MeSH
- Humans MeSH
- Magnetic Resonance Imaging * methods MeSH
- Brain Mapping methods MeSH
- Brain physiology MeSH
- Probability MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Brain dynamics and the associations with spatial navigation in individuals with subjective cognitive decline (SCD) remain unknown. In this study, a hidden Markov model (HMM) was inferred from resting-state functional magnetic resonance imaging data in a cohort of 80 SCD and 77 normal control (NC) participants. By HMM, 12 states with distinct brain activity were identified. The SCD group showed increased fractional occupancy in the states with less activated ventral default mode, posterior salience, and visuospatial networks, while decreased fractional occupancy in the state with general network activation. The SCD group also showed decreased probabilities of transition into and out of the state with general network activation, suggesting an inability to dynamically upregulate and downregulate brain network activity. Significant correlations between brain dynamics and spatial navigation were observed. The combined features of spatial navigation and brain dynamics showed an area under the curve of 0.854 in distinguishing between SCD and NC. The findings may provide exploratory evidence of the reconfiguration of brain network dynamics underlying spatial deficits in SCD.
Department of Radiology China Japan Friendship Hospital Beijing China
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