Korean J Radiol.  2012 Jun;13(3):265-274. 10.3348/kjr.2012.13.3.265.

MRI Study on the Functional and Spatial Consistency of Resting State-Related Independent Components of the Brain Network

Affiliations
  • 1Graduate School of Medical Science and Engineering (GSMSE), Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea.
  • 2Department of Psychiatry, Daejeon St. Mary's Hospital, The Catholic University of Korea College of Medicine, Daejeon 301-723, Korea. cjwcool@catholic.ac.kr
  • 3Department of Psychiatry, College of Medical Science, Konyang University, Daejeon 302-718, Korea.

Abstract


OBJECTIVE
Resting-state networks (RSNs), including the default mode network (DMN), have been considered as markers of brain status such as consciousness, developmental change, and treatment effects. The consistency of functional connectivity among RSNs has not been fully explored, especially among resting-state-related independent components (RSICs).
MATERIALS AND METHODS
This resting-state fMRI study addressed the consistency of functional connectivity among RSICs as well as their spatial consistency between 'at day 1' and 'after 4 weeks' in 13 healthy volunteers.
RESULTS
We found that most RSICs, especially the DMN, are reproducible across time, whereas some RSICs were variable in either their spatial characteristics or their functional connectivity. Relatively low spatial consistency was found in the basal ganglia, a parietal region of left frontoparietal network, and the supplementary motor area. The functional connectivity between two independent components, the bilateral angular/supramarginal gyri/intraparietal lobule and bilateral middle temporal/occipital gyri, was decreased across time regardless of the correlation analysis method employed, (Pearson's or partial correlation).
CONCLUSION
RSICs showing variable consistency are different between spatial characteristics and functional connectivity. To understand the brain as a dynamic network, we recommend further investigation of both changes in the activation of specific regions and the modulation of functional connectivity in the brain network.

Keyword

Resting state network; Default mode network; Independent component analysis; Consistency; Functional connectivity

MeSH Terms

Brain/*physiology
Brain Mapping
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging/*methods
Male
Neural Pathways/*physiology
Regression Analysis
Rest/*physiology
Young Adult

Figure

  • Fig. 1 22 RSIC maps and their highest spatial correlation coefficients (C.C.) among possible 63 IC pairs between two time points (at day 1 and for after 4 week). Posterior default mode network (IC 1), visual system (IC 2, IC 3, IC 10, IC 15, IC 17), sensorimotor system (IC 4, IC 5, IC 6), subcortex (IC 7, IC 22), frontoparietal network (IC 8, IC 21), superior parietal network (IC 9), anterior default mode network (IC 11, IC 20), temporal network (IC 12), executive control system (IC 13, IC 14, IC 16), cerebellum (IC 18), motor system (IC 19), parietal network (IC 21).

  • Fig. 2 Resting state related independent components (RSICs) and their functional connectivity maps.RSICs (A). Functional connectivity maps for cross correlation (B) or partial correlation (C) among RSICs. In each diagonal matrix, left upper part of matrix represents functional connectivity map at day 1, while right lower part represents functional connectivity map after 4 weeks. Black-line box represents independent component pair, which showed significantly higher mean correlation coefficient in corresponding time point (e.g., black-line box in left upper part means that correlation coefficient is higher at day 1 than after 4 weeks).


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