Evidence map›Paper›PMID 35078946›Full record

ReviewClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2022

Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches.

Ali Khaleghi, Mohammad Reza Mohammadi, Kian Shahi, Ali Motie Nasrabadi

Abstract readReview
In one paragraph

Review in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Article
  2. Review
  3. The Therapeutic Effect of High-definition 1-Hz Transcranial Alternating Current Stimulation in PTSD: A Randomized Controlled Trial.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Effectiveness of fMRI-based Neurofeedback Therapy on Depression: A Systematic Review.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ali KhaleghiPsychiatry and Psychology Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-9035-7075
Mohammad Reza MohammadiPsychiatry and Psychology Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-7061-5938
Kian ShahiPsychiatry and Psychology Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0842-3054
Ali Motie NasrabadiDepartment of Biomedical Engineering, Shahed University, Tehran, Iran.ORCID https://orcid.org/0000-0002-3702-8547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translating progress in neuroscience into clinical benefits for patients with psychiatric disorders is challenging because it involves the brain as the most complex organ and its interaction with a complex environment and condition. Dealing with such complexity requires powerful techniques. Computational neuroscience approach to psychiatry integrates multiple levels and types of simulation, analysis and computation according to the different types of computational models to enhance comprehending, prediction and treatment of psychiatric disorder. This approach comprises two approaches: theory-driven and data-driven. In this review, we focus on recent advances in theory-driven approaches that mathematically and mechanistically examine the relationships between disorder-related changes and behavior at different level of brain organization. We discuss recent progresses in computational neuroscience models that relate to psychiatry and show how principles of neural computational modeling can be employed to explain psychopathology.

Indexed as

Mathematical computingNeurosciencePsychiatryTheoretical models

Identifiers

PMID35078946
PMCPMC8813324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.