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On the multivariate nature of brain metabolic impairment in Alzheimer's disease. (Articolo in rivista)

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On the multivariate nature of brain metabolic impairment in Alzheimer's disease. (Articolo in rivista) (literal)

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Salmon E. 1, Kerrouche N. 2, Perani D. 3, Lekeu F. 1, Holthoff V. 4, Beuthien-Baumann B. 5, Sorbi S. 6, Lemaire C. 1, Collette F. 1, Herholz K. 7,8 (2009)
On the multivariate nature of brain metabolic impairment in Alzheimer's disease.
in Neurobiology of aging
(literal)

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Salmon E. 1, Kerrouche N. 2, Perani D. 3, Lekeu F. 1, Holthoff V. 4, Beuthien-Baumann B. 5, Sorbi S. 6, Lemaire C. 1, Collette F. 1, Herholz K. 7,8 (literal)

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Pubblicato on-line: 23 Luglio 2007. Corresponding author: E. Salmon (eric.salmon@ulg.ac.be) IF 2009: 5.937 (literal)

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1. Cyclotron Research Center, University of Liège, B30 Sart Tilman, 4000 Liège (Belgio) 2. Department of Nuclear Medicine, Hôpital Tenon, Pierre et Marie Curie University Paris VI, Paris (Francia) 3. Vita Salute San Raffaele University, Institute of Bioimaging and Molecular Physiology, CNR, IRCC H San Raffaele, Milano 4. Department of Psychiatry and Psychotherapy, Dresden University of Technology, Dresden (Germania) 5. Department of Nuclear Medicine, Dresden University of Technology and PET-Center, Research Center Rossendorf, Dresden (Germania) 6. Department of Neurological and Psychiatric Sciences, University of Florence, Firenze 7. Wolfson Molecular Imaging Centre, University of Manchester, Manchester (UK) 8. Department of Neurology, University of Cologne (Germania) (literal)

Titolo

On the multivariate nature of brain metabolic impairment in Alzheimer's disease. (literal)

Abstract

We used principal component analysis to decompose functional images of patients with AD in orthogonal ensembles of brain regions with maximal metabolic covariance. Three principal components explained 38% of the total variance in a large sample of FDG-PET images obtained in 225 AD patients. One functional ensemble (PC2) included limbic structures from Papez's circuit (medial temporal regions, posterior and anterior cingulate cortex, thalamus); its disruption in AD patients was related to episodic memory impairment. Another principal component (PC1) illustrated major metabolic variance in posterior cerebral cortices, and patients' scores were correlated to instrumental functions (language and visuospatial abilities). PC3 comprised frontal, parietal, temporal and posteromedial (posterior cingulate and precuneus) cortices, and patients' scores were related to executive dysfunction and global cognitive impairment. The three main metabolic covariance networks converged in the posterior cingulate area that showed complex relationships with medial temporal structures within each PC. Individual AD scores were distributed as a continuum along PC axes: an individual combination of scores would determine specific clinical symptoms in each patient (literal)

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