Gray matter volume and functional connectivity identify asymptomatic MAPT variant carriers with signs of longitudinal disease progression
Youjin Jung, Taru M. Flagan, Liwen Zhang, Maria Luisa Mandelli, Virginia E. Sturm, Jennifer S. Yokoyama, Maria Luisa Gorno Tempini, Brad F. Boeve, Adam L Boxer, Leah K. Forsberg, Hilary W. Heuer, Kejal Kantarci, Eliana Marisa Ramos, Howard J. Rosen, Bruce L. Miller

TL;DR
This study finds that brain imaging and connectivity changes in people with a genetic variant linked to neurodegeneration may predict future disease progression before symptoms appear.
Contribution
The study introduces a novel approach to identify asymptomatic MAPT variant carriers at risk of longitudinal neurodegeneration using baseline GMV and FC changes.
Findings
Asymp-MAPT with lower baseline GMV showed greater longitudinal increases in plasma NfL and cognitive decline.
Longitudinal decreases in functional connectivity within specific brain networks were linked to greater cortical atrophy and cognitive decline.
Lower GMV in regions affected during symptomatic phases may signal earlier conversion to symptomatic disease.
Abstract
Previous studies demonstrate that certain asymptomatic MAPT variant carriers (Asymp‐MAPT) exhibit altered baseline gray matter volume (GMV) and functional connectivity (FC) profiles. It remains unclear whether these imaging measures may herald risk for earlier conversion to the symptomatic phase. To address this, we stratified Asymp‐MAPT based on baseline GMV and longitudinal FC changes to assess whether any Asymp‐MAPT subgroups showed signs of longitudinal neurodegeneration or cognitive decline. We studied 25 Asymp‐MAPT recruited from the UCSF Memory and Aging Center and ALLFTD Consortia. Using a median split, we divided Asymp‐MAPT into groups with smaller (LowGMV; n = 12) and larger baseline GMV (HighGMV; n = 13) within regions atrophied in symptomatic MAPT carriers (n = 20). Next, we stratified Asymp‐MAPT based on longitudinal FC changes using k‐means clustering on rates of change…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Dementia and Cognitive Impairment Research · Genetic Associations and Epidemiology
