(1) Neuromorphometric longitudinal normative data and (2) Neuromorphometric
profiles of neuropathological characteristics: an update
 
   Lead Investigator:    Olivier Potvin
   Institution      :    CERVO Research Center
   E-Mail           :    Olivier.Potvin@crulrg.ulaval.ca
   Proposal ID      :    1105


   Publications:


1  Dallaire-Th^{unicode 00E9}roux C, Beheshti I, Potvin O, Dieumegarde L, Saikali S, Duchesne S
   Braak neurofibrillary tangle staging prediction from in vivo MRI metrics
   Journal Article  Alzheimers dement (Amst),11:599-609,2019,PMC6731211

   PUBLISHED





   Proposal Description:
   Project 1: Proper normative data of anatomical measurements of cortical regions, allowing to quantify brain abnormalities, are lacking. We previously developed norms for subcortical volumes and cortical surfaces, thicknesses, and volumes based on cross-sectional MRI scans from 2713 healthy individuals aged 18 to 94 years    (Potvin et al. 20162017a2017b). This normative data included age, sex, scanner vendor and magnetic field strength, and intracranial volume. We now plan to produce longitudinal neuromorphometric normative data in a similar fashion, but which will be lower possible cohort biases. The NACC query system indicates that at least 634 participants with normal cognition and longitudinal T1 MRI.    Potvin, O., Dieumegarde, L., Duchesne, S. (2017a) Freesurfer cortical normative data for adults using Desikan-Killiany-Tourville and ex vivo protocols. Neuroimage, 156:43-64.  Potvin, O., Dieumegarde, L., Duchesne, S. (2017b) Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain. Neuroimage, 156:315-339.  Potvin, O., Mouiha, A., Dieumegarde, L., Duchesne, S. (2016) Normative data for subcortical regional volumes over the lifetime of the adult human brain. Neuroimage, 137:9-20.                                                              Project 2: Post-mortem neuropathological analyses often reveal the presence of multiple pathologies in individuals with and without dementia. In a previous accepted project (#1949) submitted for publication (Dallaire et al., submitted), we aimed to identify specific in-vivo neuromorphometric profiles linked to particular post-mortem neuropathological manifestations using state-of-the-art feature extraction techniques on anatomical MRIs. Analyzed neuropathological manifestations included vascular pathology, tau, amyloid B, alpha synuclein, Lewy bodies, and hippocampal sclerosis indicators. Secondary objectives were 1) to compare the profiles obtained with clinical diagnosis and neurops