Universität zu Köln

Titov, Dmitry, Diehl-Schmid, Janine ORCID: 0000-0002-7745-1382, Shi, Kuangyu, Perneczky, Robert ORCID: 0000-0003-1981-7435, Zou, Na, Grimmer, Timo, Li, Jing, Drzezga, Alexander and Yakushev, Igor (2017). Metabolic connectivity for differential diagnosis of dementing disorders. J. Cereb. Blood Flow Metab., 37 (1). S. 252 - 263. THOUSAND OAKS: SAGE PUBLICATIONS INC. ISSN 1559-7016

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Abstract

Presently, visual and quantitative approaches for image-supported diagnosis of dementing disorders rely on regional intensity rather than on connectivity measurements. Here, we test metabolic connectivity for differentiation between Alzheimer's disease and frontotemporal lobar degeneration. Positron emission tomography with 18F-fluorodeoxyglucose was conducted in 47 patients with mild Alzheimer's disease, 52 patients with mild frontotemporal lobar degeneration, and 45 healthy elderly subjects. Sparse inverse covariance estimation and selection were used to identify patterns of metabolic, inter-subject covariance on the basis of 60 regional values. Relative to healthy subjects, significantly more pathological within-lobe connections were found in the parietal lobe of patients with Alzheimer's disease, and in the frontal and temporal lobes of subjects with frontotemporal lobar degeneration. Relative to the frontotemporal lobar degeneration group, more pathological connections between the parietal and temporal lobe were found in the Alzheimer's disease group. The obtained connectivity patterns differentiated between two patients groups with an overall accuracy of 83%. Linear discriminant analysis and univariate methods provided an accuracy of 74% and 69%, respectively. There are characteristic patterns of abnormal metabolic connectivity in mild Alzheimer's disease and frontotemporal lobar degeneration. Such patterns can be utilized for single-subject analyses and might be more accurate in the differential diagnosis of dementing disorders than traditional intensity-based analyses.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Titov, Dmitry UNSPECIFIED UNSPECIFIED UNSPECIFIED Diehl-Schmid, Janine UNSPECIFIED orcid.org/0000-0002-7745-1382 UNSPECIFIED Shi, Kuangyu UNSPECIFIED UNSPECIFIED UNSPECIFIED Perneczky, Robert UNSPECIFIED orcid.org/0000-0003-1981-7435 UNSPECIFIED Zou, Na UNSPECIFIED UNSPECIFIED UNSPECIFIED Grimmer, Timo UNSPECIFIED UNSPECIFIED UNSPECIFIED Li, Jing UNSPECIFIED UNSPECIFIED UNSPECIFIED Drzezga, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Yakushev, Igor UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-248395
DOI:	10.1177/0271678X15622465
Journal or Publication Title:	J. Cereb. Blood Flow Metab.
Volume:	37
Number:	1
Page Range:	S. 252 - 263
Date:	2017
Publisher:	SAGE PUBLICATIONS INC
Place of Publication:	THOUSAND OAKS
ISSN:	1559-7016
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MILD COGNITIVE IMPAIRMENT; INVERSE COVARIANCE ESTIMATION; ALZHEIMERS-DISEASE; FRONTOTEMPORAL DEMENTIA; FDG-PET; BRAIN CONNECTIVITY; WORKING-MEMORY; F-18-FDG PET; UNIVARIATE; SELECTION Multiple languages Endocrinology & Metabolism; Hematology; Neurosciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/24839