Clinical tests and PET brain imaging help distinguish the 3 most common dementia subtypes
-
1
University of South Florida, United States
Background: Dementia diagnosis and the various subtypes are challenging in the absence of biomarkers. Aim: To examine available tests and neuroimaging procedures that may help distinguish these disorders. Methods: Alzheimer’s disease (AD), cognitive vascular disorder (CVD) and Frontotemporal lobe disorders (FTD) were tested with the Frontal Systems Behavior Scale (FRSBE), Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment Test (MOCA) and subtests. All patients had multimodality MR imaging and 18 F Fluorodeoxyglucose PET (FDG-PET) brain scans. Results: Of 161 patients evaluated for dysmemory and cognitive impairment, 31 satisfied the full protocol. The mean T scores for the 3 principal frontal system syndromes for the AD group were all abnormal save disinhibition. For the CV and FTD groups, all four subcategory scores were abnormal. Disinhibition differed significantly between the AD and FTD group (ANOVA, p=0.02) and there was a strong association between the memory for 5 words test and a significant difference in the WLT score among the 3 groups (ANOVA, p=0.0233). There was a strong association between the FDG-PET and the disease subtype (p<0.0001). Conclusion: Evaluation for disinhibition, word list generation, 5 word memory testing and PET brain imaging may help distinguish the three most common dementia subtypes.
Conference:
The 20th Annual Rotman Research Institute Conference, The frontal lobes, Toronto, Canada, 22 Mar - 26 Mar, 2010.
Presentation Type:
Poster Presentation
Topic:
Neurologic
Citation:
Chen
R and
Hoffman
M
(2010). Clinical tests and PET brain imaging help distinguish the 3 most common dementia subtypes.
Conference Abstract:
The 20th Annual Rotman Research Institute Conference, The frontal lobes.
doi: 10.3389/conf.fnins.2010.14.00144
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
01 Jul 2010;
Published Online:
01 Jul 2010.
*
Correspondence:
M. Hoffman, University of South Florida, Tampa, United States, mhoffman@health.usf.edu