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. 2015 Jul;35(7):1122-6.
doi: 10.1038/jcbfm.2015.40. Epub 2015 Mar 18.

Metabolic connectivity as index of verbal working memory

Na Zou  1 , Gael Chetelat  2 , Mustafa G Baydogan  3 , Jing Li  1 , Florian U Fischer  4 , Dmitry Titov  5 , Juergen Dukart  6 , Andreas Fellgiebel  4 , Mathias Schreckenberger  7 , Igor Yakushev  8
Affiliations

Metabolic connectivity as index of verbal working memory

Na Zou et al. J Cereb Blood Flow Metab. 2015 Jul.

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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Figures

Figure 1
Figure 1
The connectivity structure identified by SICE based on the data of 35 subjects. Nodes are Brodmann areas. Blue lines are stable connections/edges. Numbers over edges indicate their strength, for high (left) and low (right) performance group. SICE, sparse inverse covariance estimation.
Figure 2
Figure 2
The connectivity structure is overlaid onto a three-dimensionally rendered transparent cortex image in different projections. Nodes are located within corresponding Brodmann areas, which are differently colored for visualization. Blue lines are stable connections/edges.
See this image and copyright information in PMC

References

    1. 1Smith SM. The future of FMRI connectivity. Neuroimage 2012; 62: 1257–1266. - PubMed
    1. 2Lee MH, Smyser CD, Shimony JS. Resting-state fMRI: a review of methods and clinical applications. Am J Neuroradiol 2013; 34: 1866–1872. - PMC - PubMed
    1. 3Bohnen NI, Djang DSW, Herholz K, Anzai Y, Minoshima S. Effectiveness and safety of 18F-FDG PET in the evaluation of dementia: a review of the recent literature. J Nucl Med 2012; 53: 59–71. - PubMed
    1. 4Hellwig S, Amtage F, Kreft A, Buchert R, Winz OH, Vach W et al. [18F]FDG-PET is superior to [¹23I]IBZM-SPECT for the differential diagnosis of parkinsonism. Neurology 2012; 79: 1314–1322. - PubMed
    1. 5Teune LK, Bartels AL, de Jong BM, Willemsen ATM, Eshuis SA, de Vries JJ et al. Typical cerebral metabolic patterns in neurodegenerative brain diseases. Mov Disord 2010; 25: 2395–2404. - PubMed

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