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P2–365: Effects of aging on whole brain gray and white matter volumes and hippocampal subfields
Author(s) -
Mueller Susanne G.,
Stables Lara,
Du Antao,
Cashdollar Nathan M.,
Schuff Norbert,
Weiner Michael W.
Publication year - 2006
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.2006.05.1205
Subject(s) - white matter , hippocampal formation , subiculum , hippocampus , voxel based morphometry , neuroscience , psychology , cingulum (brain) , corpus callosum , entorhinal cortex , anatomy , magnetic resonance imaging , medicine , dentate gyrus , fractional anisotropy , radiology
is to determine whether an individual’s capacity for compensatory atypical memory network activation is related to incidence of clinical dementia. Methods: This study forms one arm of the LAPSES study, a populationbased longitudinal investigation of psychiatric, cognitive, neurological and neuroimaging characteristics of individuals with early memory complaints. Our paradigm is a 3T fMRI delayed match-to-sample task focused on episodic and spatial memory retrieval, in which the number of active visuospatial elements which define ‘easy’, ‘moderate’ and ‘hard’ task difficulty conditions are matched across subjects in pretesting by application of 90%, 70% and 50% performance criteria, respectively. While the active visuospatial elements vary across task difficulty, the overall number of elements is held constant by employing ‘filler’ stimuli, thus matching the perceptual load within subjects across the experiment. Connectivity tools employed to characterize functionally active memory-dependent networks will include Principal Component Analysis and wavelet analysis. Results: Preliminary functional connectivity data from 10 individuals with early memory complaints will be presented, with a focus on differential network activation when undergoing tasks of contrasting difficulty level. Conclusions: The significance of differential network activation with respect to task gradient will be discussed in relation to clinical neuroscience and prognosis of dementia.