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IC‐P‐032: IMPROVING PREDICTION OF COGNITIVE OUTCOMES FROM FUNCTIONAL CONNECTIVITY IN ALZHEIMER'S DISEASE
Author(s) -
Svaldi Diana Otero,
Goñi Joaquín,
Amico Enrico,
Abbas Kausar,
Charanya Muralidharan,
West John D.,
Dzemidzic Mario,
Risacher Shan L.,
Saykin Andrew J.,
Apostolova Liana G.
Publication year - 2019
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2019.06.4194
Subject(s) - generalizability theory , identifiability , cognition , computer science , reproducibility , artificial intelligence , pattern recognition (psychology) , statistics , psychology , machine learning , mathematics , neuroscience
PC in widespread fronto-temporal and anterior limbic nodes. Conversely, the PC significantly decreased with age in mainly parieto-occipital, but also a few frontal nodes (figure 2, FDR-corrected p-values <0.001). Conclusions: We observed a reduction of global brain network modularity with age, indicating a less differentiated brain network in older participants. This can be due to decreased connections within or increased connections between different structural modules. Our results suggest that the main changes responsible are increased intermodular connectivity of fronto-temporal and anterior limbic nodes together with decreased intermodular connectivity of mainly occipital, but also fronto-parietal nodes. We hypothesize that our findings are due to age-related neural dedifferentiation, in line with concepts of non-uniform brain aging.