CoChat
Sign Up
Cited by 133Mental Health Research TopicsMental Health and PsychiatryAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index.

Computational Nosology and Precision Psychiatry

Open access
Friston, Karl J., Redish, A. David, Gordon, Joshua A.·2017·Computational Psychiatry
DOI 10.1162/cpsy_a_00001PMC PMC5774181
Open this paper in CoChat — free account

Abstract

This article provides an illustrative treatment of psychiatric morbidity that offers an alternative to the standard nosological model in psychiatry. It considers what would happen if we treated diagnostic categories not as causes of signs and symptoms, but as diagnostic consequences of psychopathology and pathophysiology. This reformulation (of the standard nosological model) opens the door to a more natural description of how patients present—and of their likely responses to therapeutic interventions. In brief, we describe a model that generates symptoms, signs, and diagnostic outcomes from latent psychopathological states. In turn, psychopathology is caused by pathophysiological processes that are perturbed by (etiological) causes such as predisposing factors, life events, and therapeutic interventions. The key advantages of this nosological formulation include (i) the formal integration of diagnostic (e.g., DSM) categories and latent psychopathological constructs (e.g., the dimensions of the Research Domain Criteria); (ii) the provision of a hypothesis or model space that accommodates formal, evidence-based hypothesis testing (using Bayesian model comparison); and (iii) the ability to predict therapeutic responses (using a posterior predictive density), as in precision medicine. These and other advantages are largely promissory at present: The purpose of this article is to show what might be possible, through the use of idealized simulations.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1162/cpsy_a_00001

Cites

51 of 51 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 52 references

1 of the 52 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Items 101–133 of 133

Related

See all

Metadata

Authors
Friston, K. J., Redish, A. D., & Gordon, J. A.
Affiliations
  • Wellcome Centre for Human Neuroimaging (GB)
  • University of Minnesota (US)
  • National Institute of Mental Health (US)
Corresponding author
Friston, Karl J.
ORCID
Venue
Computational Psychiatry
Publisher
Ubiquity Press, Ltd.
Published
2017-10-01
Volume
1
Issue
0
Pages
2
ISSN
2379-6227 (ISSN-L)
DOI
10.1162/cpsy_a_00001
PMC
PMC5774181
OpenAlex
W2625121567
Cited by
126
References
52
Citations by year
2026: 14 · 2025: 7 · 2024: 8 · 2023: 13 · 2022: 18 · 2021: 20 · 2020: 14 · 2019: 15 · 2018: 14 · 2017: 3
FWCI
16.38
Type
journal article
Language
en
Open access
Licence
Locations
  • Computational Psychiatry (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • UCL Discovery (University College London) (submittedVersion)
Funders
Wellcome Trust (088130/Z/09/Z)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
precision psychiatry, psychiatric diagnosis, psychopathology, pathophysiology, Research Domain Criteria, Bayesian model selection, posterior predictive distribution, treatment response prediction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review