Evidence map›Paper›PMID 27784534›Full record

ReviewSchizophrenia research2017

Toward understanding thalamocortical dysfunction in schizophrenia through computational models of neural circuit dynamics.

John D Murray, Alan Anticevic

Abstract readReview
In one paragraph

Review in Schizophrenia research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Cognitive Control in Schizophrenia: Advances in Computational Approaches.Current directions in psychological science · 2024
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. The thalamus in psychosis spectrum disorder.Frontiers in neuroscience · 2023
    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

2 authors.

John D MurrayDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, United States. Electronic address: john.murray@yale.edu.
Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, United States.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Characterizing Schizophrenia Progression via Multi-modal Neuroimaging and ComputationR01MH108590 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2016 to 2020
$2.0M
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling aDP5OD012109 · OD · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2012 to 2016
$1.8M
Yale University Clinical and Translational Science Award ProgramTL1TR000141 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$720k
Neuropsychiatric Classification via Connectivity and Machine LearningR03MH105765 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2014 to 2015
$180k
NCATS NIH HHS TL1 TR000141NCATS NIH HHS UL1 TR001863NIH HHS DP5 OD012109NIMH NIH HHS R01 MH108590NIMH NIH HHS R03 MH105765
6 · The paper itself

Abstract

The thalamus is implicated in the neuropathology of schizophrenia, and multiple modalities of noninvasive neuroimaging provide converging evidence for altered thalamocortical dynamics in the disorder, such as functional connectivity and oscillatory power. However, it remains a challenge to link these neuroimaging biomarkers to underlying neural circuit mechanisms. One potential path forward is a "Computational Psychiatry" approach that leverages computational models of neural circuits to make predictions for the dynamical impact dynamical impact on specific thalamic disruptions hypothesized to occur in the pathophysiology of schizophrenia. Here we review biophysically-based computational models of neural circuit dynamics for large-scale resting-state networks which have been applied to schizophrenia, and for thalamic oscillations. As a key aspect of thalamocortical dysconnectivity in schizophrenia is its regional specificity, it is important to consider potential sources of intrinsic heterogeneity of cellular and circuit properties across cortical and thalamic structures.

Indexed as

Computer SimulationModels, NeurologicalAnimalsCerebral CortexHumansNeural PathwaysSchizophreniaThalamusComputational modelFunctional connectivityNeural oscillationsThalamic reticular nucleusThalamus

Identifiers

PMID27784534
PMCPMC5263120

What OpenQuestion holds

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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.