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Advances and pitfalls in the analysis and interpretation of resting-state FMRI data

Frontiers in systems neuroscience, 2010-01, Vol.4, p.8-8 [Peer Reviewed Journal]

Copyright © 2010 Cole, Smith and Beckmann. 2010 ;ISSN: 1662-5137 ;EISSN: 1662-5137 ;DOI: 10.3389/fnsys.2010.00008 ;PMID: 20407579

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  • Title:
    Advances and pitfalls in the analysis and interpretation of resting-state FMRI data
  • Author: Cole, David M ; Smith, Stephen M ; Beckmann, Christian F
  • Subjects: fMRI ; functional connectivity ; Independent Component Analysis ; networks ; Neuroscience ; resting-state ; seed-based correlations
  • Is Part Of: Frontiers in systems neuroscience, 2010-01, Vol.4, p.8-8
  • Description: The last 15 years have witnessed a steady increase in the number of resting-state functional neuroimaging studies. The connectivity patterns of multiple functional, distributed, large-scale networks of brain dynamics have been recognised for their potential as useful tools in the domain of systems and other neurosciences. The application of functional connectivity methods to areas such as cognitive psychology, clinical diagnosis and treatment progression has yielded promising preliminary results, but is yet to be fully realised. This is due, in part, to an array of methodological and interpretative issues that remain to be resolved. We here present a review of the methods most commonly applied in this rapidly advancing field, such as seed-based correlation analysis and independent component analysis, along with examples of their use at the individual subject and group analysis levels and a discussion of practical and theoretical issues arising from this data 'explosion'. We describe the similarities and differences across these varied statistical approaches to processing resting-state functional magnetic resonance imaging signals, and conclude that further technical optimisation and experimental refinement is required in order to fully delineate and characterise the gross complexity of the human neural functional architecture.
  • Publisher: Switzerland: Frontiers Research Foundation
  • Language: English
  • Identifier: ISSN: 1662-5137
    EISSN: 1662-5137
    DOI: 10.3389/fnsys.2010.00008
    PMID: 20407579
  • Source: Geneva Foundation Free Medical Journals at publisher websites
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    PubMed Central
    Alma/SFX Local Collection
    DOAJ Directory of Open Access Journals
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