Resting-state fMRI: A review of methods and clinical applications

M. H. Lee, C. D. Smyser, J. S. Shimony

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1866-1872
Number of pages7
JournalAmerican Journal of Neuroradiology
Volume34
Issue number10
DOIs
StatePublished - Oct 2013

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

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