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Quantitative analysis of grey matter degeneration in FTD patients using fractal dimension analysis.

Authors :
Sheelakumari, Raghavan
Venkateswaran Rajagopalan
Chandran, Anuvitha
Varghese, Tinu
Zhang, Luduan
Yue, Guang H.
Mathuranath, Pavagadha S.
Kesavadas, Chandrasekharan
Source :
Brain Imaging & Behavior; Oct2018, Vol. 12 Issue 5, p1221-1228, 8p
Publication Year :
2018

Abstract

Fractal dimension (FD) is a quantitative parameter that can characterizes the complexity of human brain tissue. Extensive grey matter (GM) pathology has been previously identified in Frontotemporal dementia (FTD) and its variants. The aim of the present study was to investigate the GM morphometric abnormalities in the behavioral variant FTD (bvFTD) and primary progressive aphasia (PPA) using FD analysis. Twenty-seven bvFTD, 12 PPA and 20 controls were studied. SPM8 was used to segment the brain into GM tissue. Then the FD values were estimated for the GM skeleton, surface and general structure in patients and controls using our previously published algorithm. We found that patients with bvFTD had significant reduction in FD values of skeleton and general structure when compared to controls. In PPA, more significant decrease in FD was noted in the whole brain and left hemisphere skeleton along with left hemisphere general structure. Only the right hemisphere skeleton had a significant correlation with total score of Frontal Systems Behavior Scale (FrSBe). The results showed that the variants of FTD are associated with disease specific morphometric complexity patterns. These results indicate that FD can be used as a biomarker for the structural changes associated with neurodegenerative diseases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19317557
Volume :
12
Issue :
5
Database :
Complementary Index
Journal :
Brain Imaging & Behavior
Publication Type :
Academic Journal
Accession number :
133509390
Full Text :
https://doi.org/10.1007/s11682-017-9784-x