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Neural networks associated with body composition in frontotemporal dementia

Authors :
Rebekah M. Ahmed
Ramon Landin‐Romero
Cheng T. Liang
Julia M. Keogh
Elana Henning
Cherie Strikwerda‐Brown
Emma M. Devenney
John R. Hodges
Matthew C. Kiernan
I. Sadaf Farooqi
Olivier Piguet
Source :
Annals of Clinical and Translational Neurology, Vol 6, Iss 9, Pp 1707-1717 (2019)
Publication Year :
2019
Publisher :
Wiley, 2019.

Abstract

Abstract Background Frontotemporal dementia (FTD) is associated with complex changes in eating behavior and metabolism, which potentially affect disease pathogenesis and survival. It is currently not known if body composition changes and changes in fat deposition also exist in FTD, the relationship of these changes in eating behavior and appetite, and whether these changes are centrally mediated. Methods Body composition was measured in 28 people with behavioral‐variant frontotemporal dementia (bvFTD), 16 with Alzheimer’s disease (AD), and 19 healthy controls, using dual energy x‐ray absorptiometry. Changes in body composition were correlated to brain grey matter atrophy using voxel‐based morphometry on high‐resolution magnetic resonance imaging. Results Behavioral‐variant FTD was characterized by changes in body composition, with increased total fat mass, visceral adipose tissue area (VAT area), and android: gynoid ratio compared to control and AD participants (all P values

Details

Language :
English
ISSN :
23289503
Volume :
6
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Annals of Clinical and Translational Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.6eaf4999d8dc45ce88d741a731da0db9
Document Type :
article
Full Text :
https://doi.org/10.1002/acn3.50869