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  Metabolic connectivity as index of verbal working memory

Zou, N., Chetelat, G., Baydogan, M. G., Li, J., Fischer, F. U., Titov, D., et al. (2015). Metabolic connectivity as index of verbal working memory. Journal of Cerebral Blood Flow and Metabolism, 35(7), 1122-1126. doi:10.1038/jcbfm.2015.40.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-76AE-F Version Permalink: http://hdl.handle.net/21.11116/0000-0003-7A8C-7
Genre: Journal Article

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 Creators:
Zou, Na1, Author
Chetelat, Gael2, Author
Baydogan, Mustafa G3, Author
Li, Jing1, Author
Fischer, Florian U4, Author
Titov, Dmitry5, Author
Dukart, Jürgen6, 7, Author              
Fellgiebel, Andreas4, Author
Schreckenberger, Mathias8, Author
Yakushev, Igor4, 5, 9, Author
Affiliations:
1Department of Industrial Engineering, Arizona State University, Tempe, AZ, USA, ou_persistent22              
2École pratique des hautes études (EPHE), Institut national de la santé et de la recherche médicale, Université de Caen, France, ou_persistent22              
3Department of Industrial Engineering, Boğaziçi Üniversitesi, Istanbul, Turkey, ou_persistent22              
4Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Germany, ou_persistent22              
5Department of Nuclear Medicine, Ludwig Maximilians University Munich, Germany, ou_persistent22              
6Service de Neurologie, Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
7Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634558              
8Department of Nuclear Medicine, Johannes Gutenberg University, Mainz, Germany, ou_persistent22              
9Neuroimaging Center (TUM-NIC), TU Munich, Germany, ou_persistent22              

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Free keywords: Covariance analysis; Connectivity modeling; FDG-PET; Neural network; Neuroimaging; Positron emission tomography
 Abstract: Positron emission tomography (PET) data are commonly analyzed in terms of regional intensity, while covariant information is not taken into account. Here, we searched for network correlates of healthy cognitive function in resting state PET data. PET with [18F]-fluorodeoxyglucose and a test of verbal working memory (WM) were administered to 35 young healthy adults. Metabolic connectivity was modeled at a group level using sparse inverse covariance estimation. Among 13 WM-relevant Brodmann areas (BAs), 6 appeared to be robustly connected. Connectivity within this network was significantly stronger in subjects with above-median WM performance. In respect to regional intensity, i.e., metabolism, no difference between groups was found. The results encourage examination of covariant patterns in FDG-PET data from non-neurodegenerative populations.

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Language(s): eng - English
 Dates: 2015-01-202014-11-052015-02-162015-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1038/jcbfm.2015.40
PMID: 25785830
PMC: PMC4640275
Other: Epub 2015
 Degree: -

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Title: Journal of Cerebral Blood Flow and Metabolism
Source Genre: Journal
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Publ. Info: New York : Lippincott Williams & Wilkins
Pages: - Volume / Issue: 35 (7) Sequence Number: - Start / End Page: 1122 - 1126 Identifier: ISSN: 0271-678X
CoNE: /journals/resource/954925503202