{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T03:49:53Z","timestamp":1790480993432,"version":"4.1.0"},"reference-count":43,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2016,7,22]],"date-time":"2016-07-22T00:00:00Z","timestamp":1469145600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cereb Blood Flow Metab"],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:p>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\u2019s disease and frontotemporal lobar degeneration. Positron emission tomography with 18F-fluorodeoxyglucose was conducted in 47 patients with mild Alzheimer\u2019s 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\u2019s 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\u2019s 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\u2019s 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.<\/jats:p>","DOI":"10.1177\/0271678x15622465","type":"journal-article","created":{"date-parts":[[2015,12,31]],"date-time":"2015-12-31T21:19:53Z","timestamp":1451596793000},"page":"252-262","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":57,"title":["Metabolic connectivity for differential diagnosis of dementing disorders"],"prefix":"10.1177","volume":"37","author":[{"given":"Dmitry","family":"Titov","sequence":"first","affiliation":[{"name":"Department of Nuclear Medicine, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"},{"name":"Computer Aided Medical Procedures and Augmented Reality, Technische Universit\u00e4t M\u00fcnchen, Munich, 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