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IC‐P‐020: A voxel‐based morphometry study of volumetric MRI in familial Alzheimer's disease
Author(s) -
Cash David,
Ridgway Gerard,
Ryan Natalie,
Kinnunen Kirsi,
Yeatman Tom,
Malone Ian,
Benzinger Tammie,
Koeppe Robert,
Jack Clifford,
Raichle Marc,
Marcus Daniel,
Ringman John,
Thompson Paul,
Saykin Andrew,
Salloway Stephen,
Correia Stephen,
Johnson Keith,
Sperling Reisa,
Schofield Peter,
Masters Colin,
Rowe Christopher,
Villemagne Victor,
Martins Ralph,
Brickman Adam,
Mayeux Richard,
Weiner Michael,
Bateman Randall,
Goate Alison,
Fagan Anne,
Xiong Chengjie,
Cairns Nigel,
Buckles Virginia,
Moulder Krista,
Morris John,
Rossor Martin,
Ourselin Sebastien,
Fox Nick
Publication year - 2012
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.2012.05.052
Subject(s) - fornix , grey matter , cingulum (brain) , voxel , clinical dementia rating , atrophy , white matter , statistical parametric mapping , dementia , voxel based morphometry , medicine , psychology , pathology , nuclear medicine , magnetic resonance imaging , disease , radiology , fractional anisotropy , hippocampus
Background DIAN (Dominantly Inherited Alzheimer’s Network) is an international longitudinal study of autosomal dominant Alzheimer’s disease that involves serial clinical, imaging and biomarker studies of individuals at risk of disease and those already mildly affected. Understanding the patterns of atrophy associated with the disease will be important for studies and trials tracking atrophy progression in these cohorts. Methods 158 participants from the DIAN cohort were included of whom 55 were non carriers (NC); 59 were asymptomatic carriers (aMut+) with a Clinical Dementia Rating (CDR) of 0; and 44 were symptomatic carriers (sMut+) with CDR \textgreater0. Voxel based morphometry (VBM) of baseline MR imaging was used to investigate differences in grey matter (GM) and white matter (WM) between the different groups. Tissue segmentation and spatial normalization of volumetric T1-weighted images were performed using the VBM8 toolbox of SPM8. One participant was excluded due to severe WM hyperintensities. Images were smoothed using a 6mm full-width-half-maximum Gaussian kernel. Statistical parametric maps were generated of the GM and WM differences between groups, controlling for total intracranial volume (TIV), gender, acquisition site, and APOE genotype. An interaction term between group and the expected age of onset (current age - parental age of onset) was included. Results Significant clusters (P \textless0.05 Family-Wise Error corrected) in the GM were observed between groups in the thalamus, precuneus, putamen, and amygdala. Most clusters were primarily driven by differences between the sMut+ and NC group (see Figure). No significant clusters were observed between the aMut+ and NC groups. There were also clusters in the parahippocampal/hippocampal regions. WM differences between groups were observed in the fornix superior to the thalamus, the cingulum inferiorly adjacent to the hippocampus, the splenium adjacent to the cingulate and areas adjacent to the precuneus. Conclusions Symptomatic subjects show widespread differences in GM volume including deep grey structures (e.g. thalamus and putamen) and the precuneus; notable white matter changes included the fornix and the cingulum. The deep grey changes are of interest as PIB PET findings suggest early amyloid deposition in these structures.