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[P4–231]: MULTIMODAL IDENTIFICATION OF A BRAIN BIOTYPE HIGHLY PREDICTIVE OF FUTURE PROGRESSION TO ALZHEIMER's DEMENTIA
Author(s) -
Dansereau Christian,
Tam Angela,
Badhwar AmanPreet,
Urchs Sebastian,
Orban Pierre,
RosaNeto Pedro,
Bellec Pierre
Publication year - 2017
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.2017.06.2099
Subject(s) - confidence interval , dementia , logistic regression , neuroimaging , classifier (uml) , cognitive impairment , medicine , cognition , artificial intelligence , psychology , audiology , computer science , neuroscience , disease
performed at each time point using Tract-Based Spatial Statistics (TBSS), co-varying for age and gender (5000 permutations corrected for multiple comparisons with Threshold-Free Cluster Enhancement p<0.05). Annualised rate of change in NDI indices within groups was computed as follow-up NDI minus baseline, divided by the between-scan interval, and then rates of change between groups compared using TBSS. Results:At baseline, individuals with YOAD had extensive NDI reduction relative to controls in the cingulum, corpus callosum, superior and inferior longitudinal fasciculi, frontooccipital fasciculus and fornix (A). After one year, this NDI reduction was more extensive and additionally involved the internal capsule and brainstem white matter tracts (B). The annualized rate of NDI reduction in YOAD was significantly greater in patients in the cingulum, splenium of corpus callosum, inferior and superior longitudinal fasciculi, fornix and fronto-occipital fasciculus (C). Conclusions:We show that regions of NDI reduction seen in YOAD are similar to the areas of decreased FA reported in longitudinal DTI studies. Longitudinal changes in neurite density measured using NODDI may be a sensitive outcomemeasure for clinical trials aiming to prevent neural loss.