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Functional neuroimaging as a catalyst for integrated neuroscience

Author

Listed:
  • Emily S. Finn

    (Dartmouth College)

  • Russell A. Poldrack

    (Stanford University)

  • James M. Shine

    (University of Sydney)

Abstract

Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake, behaving human brain. By tracking whole-brain signals across a diverse range of cognitive and behavioural states or mapping differences associated with specific traits or clinical conditions, fMRI has advanced our understanding of brain function and its links to both normal and atypical behaviour. Despite this headway, progress in human cognitive neuroscience that uses fMRI has been relatively isolated from rapid advances in other subdomains of neuroscience, which themselves are also somewhat siloed from one another. In this Perspective, we argue that fMRI is well-placed to integrate the diverse subfields of systems, cognitive, computational and clinical neuroscience. We first summarize the strengths and weaknesses of fMRI as an imaging tool, then highlight examples of studies that have successfully used fMRI in each subdomain of neuroscience. We then provide a roadmap for the future advances that will be needed to realize this integrative vision. In this way, we hope to demonstrate how fMRI can help usher in a new era of interdisciplinary coherence in neuroscience.

Suggested Citation

  • Emily S. Finn & Russell A. Poldrack & James M. Shine, 2023. "Functional neuroimaging as a catalyst for integrated neuroscience," Nature, Nature, vol. 623(7986), pages 263-273, November.
  • Handle: RePEc:nat:nature:v:623:y:2023:i:7986:d:10.1038_s41586-023-06670-9
    DOI: 10.1038/s41586-023-06670-9
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