| Literature DB >> 25785830 |
Na Zou1, Gael Chetelat2, Mustafa G Baydogan3, Jing Li1, Florian U Fischer4, Dmitry Titov5, Juergen Dukart6, Andreas Fellgiebel4, Mathias Schreckenberger7, Igor Yakushev8.
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 [(18)F]-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.Entities:
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Year: 2015 PMID: 25785830 PMCID: PMC4640275 DOI: 10.1038/jcbfm.2015.40
Source DB: PubMed Journal: J Cereb Blood Flow Metab ISSN: 0271-678X Impact factor: 6.200