Quantitative analysis of grey matter degeneration in FTD patients using fractal dimension analysis.
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 a...
| Publicado en: | Brain Imaging & Behavior Vol. 12; no. 5; pp. 1221 - 1229 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133509390&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133509390 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Oct2018 vid: 12 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133509390 133509390 NLM29086152 10.1007/s11682-017-9784-x NLM29086152 133509390 ppf: 1221 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Quantitative analysis of grey matter degeneration in FTD patients using fractal dimension analysis. aug: au: Sheelakumari, Raghavan Venkateswaran Rajagopalan Chandran, Anuvitha Varghese, Tinu Zhang, Luduan Yue, Guang H. Mathuranath, Pavagadha S. Kesavadas, Chandrasekharan affil: Cognition and Behavioural Neurology Section, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, 695011, Trivandrum, India sug: subj: Aphasia Frontotemporal Dementia Image Interpretation, Computer Assisted Methods Magnetic Resonance Imaging Methods Gray Matter Brain Middle Age Male Algorithms Nerve Degeneration Mathematics Female Information Science Methods Imaging, Three-Dimensional Questionnaires Middle Aged: 45-64 years Male Female ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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