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[P3–369]: DIAGNOSTIC VALIDITY OF AN AUTOMATED PROBABILISTIC TRACTOGRAPHY IN AMNESTIC MILD COGNITIVE IMPAIRMENT
Author(s) -
Lee Chang Uk,
Kang Dong Woo,
Lim Hyun Kook
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.2017.06.1585
Subject(s) - diffusion mri , fractional anisotropy , white matter , cingulum (brain) , psychology , cognitive impairment , audiology , medicine , nuclear medicine , neuroscience , cognition , magnetic resonance imaging , radiology
Background: Older adults with mild cognitive impairment (MCI) or late-life depression (LLD) are at high risk for Alzheimer’s disease (AD). Few studies have examined the shared and specific clinical characteristics associated with these conditions. Yet, a great proportion of persons with MCI have depressive symptoms (MCI/D+), while LLD is often associatedwith cognitive deficits. Previous studies have shown that temporal lobe atrophy, which is typical in both MCI and LLD, is associated with cognitive decline and progression to AD. This study aims to compare atrophy of temporal lobe structures between MCI without depressive symptoms (MCI/D-), MCI/D+ and LLD.Methods: Participants were composed of older adults with MCI (Albert et al., 2011 criteria) with (n1⁄432) or without (n1⁄435) depressive symptoms as well as patients with LLD (DSM-V major depressive disorder; n1⁄435). 3D T1-weighted magnetic resonance images were acquired on a 3.0-Tesla Phillips using a standardized ADNI protocol and were analyzed using Freesurfer (5.3.0). Analyses investigated multiple temporal regions, including the hippocampus (H), parahippocampal cortex (PHC), entorhinal cortex (EC), andmiddle temporal cortex (MTC).Sociodemographic variables and global cognitive functioning (total MoCA score) were included as potential confounding covariables. A multifactorial analysis of covariance was used to compare groups regarding the volumes of the regions of interest. Results:There was a statistically significant difference between groups for the left H (p1⁄4.009). No other statistically significant difference was observed (ps > .05) Pairwise comparisons revealed that volume of the left H was significantly higher for MCI/Dcompared to MCI/D+ (p1⁄4.007), while LLD did not statistically differ from either of those groups (ps > .05). Conclusions: These findings suggest that MCI/D+ and MCI/ Dcan be distinguished using volumetric measures of the left hippocampus. These differences are observed even when global cognitive functioning and sociodemographic variables are controlled for, therefore indicating that the observed differences are due to inherent characteristics of MCI/D+ and MCI/D-. However, these findings reveal the absence of anatomical differences between MCI and LLD. Further research should study the incidence of such differences on progression towards AD risk and investigate other potential differences amongst these at-risk groups.