Hyperbolic Graph Embedding of MEG Brain Networks to Study Brain Alterations in Individuals With Subjective Cognitive Decline
Document Type
Article
Publication Date
1-1-2024
Abstract
An expansive area of research focuses on discerning patterns of alterations in functional brain networks from the early stages of Alzheimer's disease, even at the subjective cognitive decline (SCD) stage. Here, we developed a novel hyperbolic MEG brain network embedding framework for transforming high-dimensional complex MEG brain networks into lower-dimensional hyperbolic representations. Using this model, we computed hyperbolic embeddings of the MEG brain networks of two distinct participant groups: individuals with SCD and healthy controls. We demonstrated that these embeddings preserve both local and global geometric information, presenting reduced distortion compared to rival models, even when brain networks are mapped into low-dimensional spaces. In addition, our findings showed that the hyperbolic embeddings encompass unique SCD-related information that improves the discriminatory power above and beyond that of connectivity features alone. Notably, we introduced a unique metric-the radius of the node embeddings-which effectively proxies the hierarchical organization of the brain. Using this metric, we identified subtle hierarchy organizational differences between the two participant groups, suggesting increased hierarchy in the dorsal attention, frontoparietal, and ventral attention subnetworks among the SCD group. Last, we assessed the correlation between these hierarchical variations and cognitive assessment scores, revealing associations with diminished performance across multiple cognitive evaluations in the SCD group. Overall, this study presents the first evaluation of hyperbolic embeddings of MEG brain networks, offering novel insights into brain organization, cognitive decline, and potential diagnostic avenues of Alzheimer's disease.
Identifier
85196722022 (Scopus)
Publication Title
IEEE Journal of Biomedical and Health Informatics
External Full Text Location
https://doi.org/10.1109/JBHI.2024.3416890
e-ISSN
21682208
ISSN
21682194
PubMed ID
38896525
First Page
7357
Last Page
7368
Issue
12
Volume
28
Grant
RF1AG074204
Fund Ref
Massachusetts Institute of Technology
Recommended Citation
Baker, Cole; Suarez-Mendez, Isabel; Smith, Grace; Marsh, Elisabeth B.; Funke, Michael; Mosher, John C.; Maestu, Fernando; Xu, Mengjia; and Pantazis, Dimitrios, "Hyperbolic Graph Embedding of MEG Brain Networks to Study Brain Alterations in Individuals With Subjective Cognitive Decline" (2024). Faculty Publications. 969.
https://digitalcommons.njit.edu/fac_pubs/969
