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P3‐436: MECHANISTIC PROFILES OF NEURODEGENERATION: A STUDY IN ALZHEIMER'S DISEASE, HEALTHY AGEING AND PRIMARY PROGRESSIVE MULTIPLE SCLEROSIS
Author(s) -
Garbarino Sara,
Lorenzi Marco,
Vinke Eline,
Marinescu Razvan Valentin,
Oxtoby Neil P.,
Eshaghi Arman,
Ikram M. Arfan,
Niessen Wiro J.,
Ciccarelli Olga,
Barkhof Frederik,
Vernooij Meike W.,
Alexander Daniel C.
Publication year - 2018
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.2018.06.1799
Subject(s) - connectome , neurodegeneration , neuroscience , neurology , multiple sclerosis , connectomics , disease , medicine , psychology , functional connectivity , pathology , psychiatry
Figure 1. Study design schematic. (a): we construct the average structural connectome and the metrics to assess the hypothetical mechanisms, based on Human Connectome Project data; (b): we estimate the temporal progression of neurodegeneration, using a disease progression model (DPM, Lorenzi et al, 2017) on Tl-MRI volumes from our cohorts (6670 longitudinal measurements of scans from 1713 ADNI subjects (415 controls, 960 MCI, 338 AD); 11593 longitudinal scans from 5389 ageing subjects from the Rotterdam Study Scan data (Ikram et al, 2015); 244 longitudinal scans from 64 subjects acquired at the Institute of Neurology, UCL (20 controls, 44 P-MS); (c): the model estimates the mechanistic profiles b. Poster Presentations: Tuesday July 24, 2018 P1280