Metabolic connectivity as index of verbal working memory

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
Na ZouIgor Yakushev

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.

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Citations

Mar 15, 2016·Frontiers in Neuroscience·Marco AielloMarco Salvatore
Jan 2, 2016·Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism·Dmitry TitovIgor Yakushev
Aug 8, 2018·Neuroscience Bulletin·Shengxiang LiangBaoci Shan
Sep 16, 2017·Current Opinion in Neurology·Igor YakushevChristian Habeck
May 24, 2017·Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism·Dardo G TomasiNora D Volkow

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