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Resting-State fMRI: A Review of Methods and Clinical Applications

M.H. Lee, C.D. Smyser and J.S. Shimony
American Journal of Neuroradiology October 2013, 34 (10) 1866-1872; DOI: https://doi.org/10.3174/ajnr.A3263
M.H. Lee
aFrom the Mallinckrodt Institute of Radiology (M.H.L., J.S.S.)
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C.D. Smyser
bDepartments of Neurology and Pediatrics (C.D.S.), Washington University School of Medicine, St. Louis, Missouri.
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J.S. Shimony
aFrom the Mallinckrodt Institute of Radiology (M.H.L., J.S.S.)
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Abstract

SUMMARY: Resting-state fMRI measures spontaneous low-frequency fluctuations in the BOLD signal to investigate the functional architecture of the brain. Application of this technique has allowed the identification of various RSNs, or spatially distinct areas of the brain that demonstrate synchronous BOLD fluctuations at rest. Various methods exist for analyzing resting-state data, including seed-based approaches, independent component analysis, graph methods, clustering algorithms, neural networks, and pattern classifiers. Clinical applications of resting-state fMRI are at an early stage of development. However, its use in presurgical planning for patients with brain tumor and epilepsy demonstrates early promise, and the technique may have a future role in providing diagnostic and prognostic information for neurologic and psychiatric diseases.

ABBREVIATIONS:

BOLD
blood oxygen level–dependent
DMN
default mode network
ICA
independent component analysis
RS-fMRI
resting-state fMRI
RSN
resting-state network
  • © 2013 by American Journal of Neuroradiology

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American Journal of Neuroradiology: 34 (10)
American Journal of Neuroradiology
Vol. 34, Issue 10
1 Oct 2013
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M.H. Lee, C.D. Smyser, J.S. Shimony
Resting-State fMRI: A Review of Methods and Clinical Applications
American Journal of Neuroradiology Oct 2013, 34 (10) 1866-1872; DOI: 10.3174/ajnr.A3263

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Resting-State fMRI: A Review of Methods and Clinical Applications
M.H. Lee, C.D. Smyser, J.S. Shimony
American Journal of Neuroradiology Oct 2013, 34 (10) 1866-1872; DOI: 10.3174/ajnr.A3263
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