Cited by 14Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Research TopicsMental Health and Psychiatry

Clinical advances from a computational approach to anxiety

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Pine, Daniel S.·2017·Biological Psychiatry

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Crossref · 10.1016/j.biopsych.2016.09.020

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  • Advances in mental health research necessarily rely on characterizing underlying neurobiological mechanisms of pathophysiology, and psychiatry may be fundamentally limited as long as assessments are limited to observable phenomena.

    “This suggests that advances in mental health research necessarily rely on characterizing underlying neurobiological mechanisms of pathophysiology, and that psychiatry may be fundamentally limited as long as assessments are limited to observable phenomena (Pine, 2017).”

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Authors
Pine, D. S.
Affiliations
National Institutes of Health (US)
Corresponding author
Pine, Daniel S.
Venue
Biological Psychiatry
Publisher
Elsevier BV
Published
2017-09
Volume
82
Issue
6
Pages
385-387
ISSN
0006-3223 (ISSN-L)
OpenAlex
W2555670341
Cited by
14
References
10
Citations by year
2024: 2 · 2023: 2 · 2021: 1 · 2020: 2 · 2019: 4 · 2018: 1 · 2017: 2
FWCI
3.32
Type
journal article
Language
en
Open access
Locations
  • Biological Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute for Health and Care Research
  • National Institutes of Health (ZIA‐MH002781)
  • National Institute of Mental Health (ZIAMH002781, ZIAMH002782)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
Keywords
anxiety, computational psychiatry, dimensional assessment, Research Domain Criteria, psychopathology, clinical evaluation
MeSH terms
Animals, Anxiety, Anxiety Disorders, Humans, Research Design, Computational Biology

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