Evidence map›Paper›PMID 26699491›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Functional hierarchy underlies preferential connectivity disturbances in schizophrenia.

Genevieve J Yang, John D Murray, Xiao-Jing Wang, David C Glahn, Godfrey D Pearlson, Grega Repovs, John H Krystal, Alan Anticevic

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
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

83 citing papers in PubMed, 165 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. cuBNM: GPU-Accelerated Brain Network Modeling.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Exploring causal mechanisms of psychosis risk.Neuroscience and biobehavioral reviews · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

23 more citing papers are in PubMed but not listed here.

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

8 authors at 5 institutions in 3 countries.

Genevieve J YangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511; Interdepartmental Neuroscience Program, Department of Neurobiology, Yale University, New Haven, CT 06520; Abraham Ribicoff Research Facilities, Department of Psychiatry, Connecticut Mental Health Center, New Haven, CT 06519;
John D MurrayDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511; Center for Neural Science, New York University (NYU), New York, NY 06510;
Xiao-Jing WangCenter for Neural Science, New York University (NYU), New York, NY 06510; New York University-East China Normal University Institute of Brain and Cognitive Science, Department of Neural Science, NYU Shanghai, Pudong, 200122 Shanghai, China;
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, CT 06106;
Godfrey D PearlsonDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, CT 06106; Department of Neurobiology, Yale University School of Medicine, New Haven, CT 06520;
Grega RepovsDepartment of Psychology, University of Ljubljana, 1000 Ljubljana, Slovenia;
John H KrystalDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511; Abraham Ribicoff Research Facilities, Department of Psychiatry, Connecticut Mental Health Center, New Haven, CT 06519; Department of Neurobiology, Yale University School of Medicine, New Haven, CT 06520;
Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511; Interdepartmental Neuroscience Program, Department of Neurobiology, Yale University, New Haven, CT 06520; Abraham Ribicoff Research Facilities, Department of Psychiatry, Connecticut Mental Health Center, New Haven, CT 06519; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, CT 06106; Department of Psychology, Yale University, CT 06520 alan.anticevic@yale.edu.
Connecticut Mental Health Center · USHartford Hospital · USYale University · USNew York University Shanghai · CNUniversity of Ljubljana · SI

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2001 to 2026
$43.7M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077945 · NIMH · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2007 to 2019
$7.6M
Recurrent Neual Circuit Basis of Time Integration and Decision MakingR01MH062349 · NIMH · YALE UNIVERSITY · PI WANG, XIAO-JING · 2001 to 2022
$7.2M
Quantitative Neuroimaging in Psychosis; DTI StudiesR37MH043775 · NIMH · HARTFORD HOSPITAL · PI PEARLSON, GODFREY D · 2005 to 2012
$4.8M
NEUROBIOLOGY OF CORTICAL SYSTEMST32NS007224 · NINDS · YALE UNIVERSITY · PI CARDIN, JESSICA A · 1985 to 2025
$4.6M
Influence of Psychosis on Brain-Behavior Endophenotypes for Bipolar DisorderR01MH080912 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2012
$2.6M
QUANTITATIVE STRUCTURAL NEUROIMAGING IN PSYCHOSISR01MH043775 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PEARLSON, GODFREY D · 1988 to 2003
$2.4M
Schizophrenia Biomarkers: Memory, Genes and fMRIR01MH074797 · NIMH · HARTFORD HOSPITAL · PI PEARLSON, GODFREY D · 2007 to 2010
$1.5M
Modeling Neuronal Dysfunction in Schizophrenia to Predict NeuroimagingBiomarkersF30MH107149 · NIMH · YALE UNIVERSITY · PI YANG, GENEVIEVE · 2015 to 2017
$33k
NCCDPHP CDC HHS DP50D012109-02NIAAA NIH HHS 2P50AA012870-11NIAAA NIH HHS P50 AA012870NIGMS NIH HHS T32 GM007205NIGMS NIH HHS T32GM 007205NIMH NIH HHS F30 MH107149NIMH NIH HHS MH074797NIMH NIH HHS MH077945NIMH NIH HHS MH080912NIMH NIH HHS MH43775NIMH NIH HHS R01 MH043775NIMH NIH HHS R01 MH062349NIMH NIH HHS R01-MH062349NIMH NIH HHS R01 MH074797NIMH NIH HHS R01 MH077945NIMH NIH HHS R01 MH080912NIMH NIH HHS R37 MH043775NINDS NIH HHS T32 NS007224
6 · The paper itself

Abstract

Schizophrenia may involve an elevated excitation/inhibition (E/I) ratio in cortical microcircuits. It remains unknown how this regulatory disturbance maps onto neuroimaging findings. To address this issue, we implemented E/I perturbations within a neural model of large-scale functional connectivity, which predicted hyperconnectivity following E/I elevation. To test predictions, we examined resting-state functional MRI in 161 schizophrenia patients and 164 healthy subjects. As predicted, patients exhibited elevated functional connectivity that correlated with symptom levels, and was most prominent in association cortices, such as the fronto-parietal control network. This pattern was absent in patients with bipolar disorder (n = 73). To account for the pattern observed in schizophrenia, we integrated neurobiologically plausible, hierarchical differences in association vs. sensory recurrent neuronal dynamics into our model. This in silico architecture revealed preferential vulnerability of association networks to E/I imbalance, which we verified empirically. Reported effects implicate widespread microcircuit E/I imbalance as a parsimonious mechanism for emergent inhomogeneous dysconnectivity in schizophrenia.

Indexed as

BrainComputer SimulationFrontal LobeHumansModels, NeurologicalNerve NetNeural InhibitionParietal LobeSchizophreniacomputational modelingfunctional connectivityschizophrenia

Identifiers

PMID26699491
PMCPMC4720350
OpenAlexW2203684141

What OpenQuestion holds

Textmetadata
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.