Evidence map›Paper›PMID 35360919›Full record

ArticleThe American journal of psychiatry2022

Synaptic Variability and Cortical Gamma Oscillation Power in Schizophrenia.

Daniel W Chung, Matthew A Geramita, David A Lewis

Open access · greenAbstract read
In one paragraph

Article in The American journal of psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

  1. Schizophrenia, variability, and the Anna Karenina principle.Psychiatry research. Neuroimaging · 2026
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  7. Schizophrenia, variability, and the Anna Karenina principle.bioRxiv : the preprint server for biology · 2025
    Article
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  16. Modulators of GABANeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
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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

3 authors at 1 institution in 1 country.

Daniel W ChungTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh, Pittsburgh.
Matthew A GeramitaTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh, Pittsburgh.
David A LewisTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh, Pittsburgh.
University of Pittsburgh · US

Funding

Statistics and Data Management CoreP50MH103204 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI OLSON, CARL ROGER · 2014 to 2018
$10.8M
SCHIZOPHRENIA AND CORTICAL DOPAMINE/GABA INTERACTIONSR01MH043784 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEWIS, DAVID A · 1988 to 2023
$7.2M
GABA Neurons and Cortical Circuitry in SchizophreniaR37MH043784 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEWIS, DAVID A · 2001 to 2010
$6.8M
Training for Transformative Discovery in PsychiatryT32MH016804 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 1985 to 2025
$6.2M
NIMH NIH HHS P50 MH103204NIMH NIH HHS R01 MH043784NIMH NIH HHS R37 MH043784NIMH NIH HHS T32 MH016804
6 · The paper itself

Abstract

objectiveCognitive impairments in schizophrenia are associated with lower gamma oscillation power in the prefrontal cortex (PFC). Gamma power depends in part on excitatory drive to fast-spiking parvalbumin interneurons (PVIs). Excitatory drive to cortical neurons varies in strength, which could affect how these neurons regulate network oscillations. The authors investigated whether variability in excitatory synaptic strength across PVIs could contribute to lower prefrontal gamma power in schizophrenia.

methodsIn postmortem PFC from 20 matched pairs of comparison and schizophrenia subjects, levels of vesicular glutamate transporter 1 (VGlut1) and postsynaptic density 95 (PSD95) proteins were quantified to assess variability in excitatory synaptic strength across PVIs. A computational model network was then used to simulate how variability in excitatory synaptic strength across fast-spiking (a defining feature of PVIs) interneurons (FSIs) regulates gamma power.

resultsThe variability of VGlut1 and PSD95 levels at excitatory inputs across PVIs was larger in schizophrenia relative to comparison subjects. This alteration was not influenced by schizophrenia-associated comorbid factors, was not present in monkeys chronically exposed to antipsychotic medications, and was not present in calretinin interneurons. In the model network, variability in excitatory synaptic strength across FSIs regulated gamma power by affecting network synchrony. Finally, greater synaptic variability interacted synergistically with other synaptic alterations in schizophrenia (i.e., fewer excitatory inputs to FSIs and lower inhibitory strength from FSIs) to robustly reduce gamma power.

conclusionsThe study findings suggest that greater variability in excitatory synaptic strength across PVIs, in combination with other modest synaptic alterations in these neurons, can markedly lower PFC gamma power in schizophrenia.

Indexed as

SchizophreniaHumansInterneuronsNeuronsParvalbuminsPrefrontal CortexParvalbuminsNeurocircuitryNeuroscienceSchizophrenia Spectrum and Other Psychotic DisordersTranslational Research

Identifiers

PMID35360919
PMCPMC9580070
OpenAlexW4220676525

What OpenQuestion holds

Textmetadata
LicenceTDM
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.