RT Journal Article
SR Electronic
T1 Resting-State fMRI: A Review of Methods and Clinical Applications
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
SP 1866
OP 1872
DO 10.3174/ajnr.A3263
VO 34
IS 10
A1 Lee, M.H.
A1 Smyser, C.D.
A1 Shimony, J.S.
YR 2013
UL http://www.ajnr.org/content/34/10/1866.abstract
AB 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. BOLDblood oxygen level–dependentDMNdefault mode networkICAindependent component analysisRS-fMRIresting-state fMRIRSNresting-state network