Evidence map›Paper›PMID 38696972›Full record

ReviewCurrent opinion in neurobiology2024

Ethological computational psychiatry: Challenges and opportunities.

Ilya E Monosov, Jan Zimmermann, Michael J Frank, Mackenzie W Mathis, Justin T Baker

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. From symptom-based heterogeneity to mechanism-based profiling in youth ADHD: the promise of computational psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. What can neuroimaging of neuromodulation reveal about the basis of circuit therapies for psychiatry?Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  11. Article
  12. Naturalistic computational psychiatry: How to get there?Journal of psychiatry & neuroscience : JPN
    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

5 authors.

Ilya E MonosovDepartments of Neuroscience, Biomedical Engineering, Electrical Engineering, and Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: ilya.monosov@gmail.com.
Jan ZimmermannDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, USA.
Michael J FrankCarney Center for Computational Brain Science, Brown University, Providence, RI, USA; Department of Cognitive and Psychological Sciences, USA. Electronic address: https://twitter.com/LNCCBrown.
Mackenzie W MathisBrain Mind Institute & NeuroX, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland. Electronic address: https://twitter.com/trackingactions.
Justin T BakerMcLean Hospital, Harvard Medical School, Boston, MA, USA.

Funding

The neural network of OCD, linking NHP and human studiesP50MH106435 · NIMH · UNIVERSITY OF ROCHESTER · PI Suzanne N Haber · 2015 to 2026
$28.9M
Viral Innovation CoreP30DA048742 · NIDA · UNIVERSITY OF MINNESOTA · PI Anna Zilverstand · 2020 to 2026
$19.0M
Project 4_Bruchas : Circuit-level Approaches for Dissecting Approach/Avoidance Behaviors Mediated by Nociceptin Systems in MiceP50MH119467 · NIMH · MCLEAN HOSPITAL · PI FRANK, MICHAEL J. · 2020 to 2024
$15.9M
BRAIN CONNECTS: Center for Mesoscale ConnectomicsUM1NS132207 · NINDS · UNIVERSITY OF MINNESOTA · PI TANER AKKIN, Damien A Fair · 2023 to 2026
$12.5M
Cognitive Neurocomputational Task Reliability and Clinical Applications ConsortiumR01MH084840 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, Cameron S. Carter · 2008 to 2026
$8.5M
MECHANISMS OF INFORMATION SEEKING IN THE PRIMATE BRAINR01MH116937 · NIMH · WASHINGTON UNIVERSITY · PI Ilya E. Monosov · 2019 to 2026
$4.0M
Neural Circuits that Regulate Risk SeekingR01MH110594 · NIMH · WASHINGTON UNIVERSITY · PI Ilya E. Monosov · 2017 to 2026
$3.9M
Neural basis of behavioral timescale coordinationR01MH128177 · NIMH · UNIVERSITY OF MINNESOTA · PI Jan Zimmermann · 2022 to 2026
$2.9M
Commercialization of integrated electrode-electronics system for large scale, long-lasting electrophysiologyR44NS127692 · NINDS · SPIKEGADGETS, LLC · PI FRANK, LOREN M, KARLSSON, MATTIAS PETER · 2022 to 2024
$2.2M
Neuronal mechanisms of novelty seekingR01MH128344 · NIMH · WASHINGTON UNIVERSITY · PI Ilya E. Monosov · 2022 to 2026
$1.9M
Connectome style neuroimaging in non human primates via novel integrated RF platformsR01EB031765 · NIBIB · UNIVERSITY OF MINNESOTA · PI ZIMMERMANN, JAN · 2022 to 2025
$1.9M
Connectome style neuroimaging in non human primates via novel integrated RF platformsR56EB031765 · NIBIB · UNIVERSITY OF MINNESOTA · PI ZIMMERMANN, JAN · 2021 to 2021
$502k
NIBIB NIH HHS R01 EB031765NIBIB NIH HHS R56 EB031765NIDA NIH HHS P30 DA048742NIMH NIH HHS F32 MH010643NIMH NIH HHS P50 MH106435NIMH NIH HHS P50 MH119467NIMH NIH HHS R01 MH084840NIMH NIH HHS R01 MH110594NIMH NIH HHS R01 MH116937NIMH NIH HHS R01 MH128177NIMH NIH HHS R01 MH128344NINDS NIH HHS R44 NS127692NINDS NIH HHS UM1 NS132207
6 · The paper itself

Abstract

Studying the intricacies of individual subjects' moods and cognitive processing over extended periods of time presents a formidable challenge in medicine. While much of systems neuroscience appropriately focuses on the link between neural circuit functions and well-constrained behaviors over short timescales (e.g., trials, hours), many mental health conditions involve complex interactions of mood and cognition that are non-stationary across behavioral contexts and evolve over extended timescales. Here, we discuss opportunities, challenges, and possible future directions in computational psychiatry to quantify non-stationary continuously monitored behaviors. We suggest that this exploratory effort may contribute to a more precision-based approach to treating mental disorders and facilitate a more robust reverse translation across animal species. We conclude with ethical considerations for any field that aims to bridge artificial intelligence and patient monitoring.

Indexed as

PsychiatryAnimalsArtificial IntelligenceEthologyHumansMental Disorders

Identifiers

PMID38696972
PMCPMC11162904

What OpenQuestion holds

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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.