Evidence map›Paper›PMID 34887320›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Effects of Altered Excitation-Inhibition Balance on Decision Making in a Cortical Circuit Model.

Norman H Lam, Thiago Borduqui, Jaime Hallak, Antonio Roque, Alan Anticevic, John H Krystal, Xiao-Jing Wang, John D Murray

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06634771 (Frontal E/I Balance Mediation of tACS Effects on Behavioral Flexibility), which is not on this map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
7.0field-weighted citation impact, top 2% 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.

NCT06634771 naterminatednot on this mapstarted 2024, after this paper: background citation

Frontal E/I Balance Mediation of tACS Effects on Behavioral Flexibility

TypeinterventionalSponsorUniversity of North Carolina, Chapel HillRan2024 to 2025Enrolled7ConditionsBehavioral Flexibility, Healthy Volunteers, High Risk Alcohol UseArms10 Hz transcranial alternating current stimulation (tACS), sham transcranial alternating current stimulation (tACS)
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
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  6. Review
  7. Primary cilia and neural computation.Journal of biomedical science · 2026
    Review
  8. Article
  9. Mesocorticostriatal Reinforcement Learning of State Representation and Value with Implications for the Mechanisms of Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  10. Article
  11. Review
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  13. Review
  14. Article
  15. WhenAPL bioengineering · 2025
    Review
  16. Article
  17. Ventral striatal astrocytes contribute to reinforcement learning.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Article

8 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 4 institutions in 2 countries.

Norman H LamDepartment of Physics, Yale University, New Haven, Connecticut 06511.
Thiago BorduquiDepartment of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil 14049-900.
Jaime HallakDepartment of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil 14049-900.
Antonio RoquePhysics Department, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil 14049-900.ORCID 0000-0003-1260-4840
Alan AnticevicDepartment of Psychiatry, Yale University, New Haven, Connecticut 06511.
John H KrystalDepartment of Psychiatry, Yale University, New Haven, Connecticut 06511.
Xiao-Jing WangCenter for Neural Science, New York University, New York, New York 10003.ORCID 0000-0003-3124-8474
John D MurrayDepartment of Physics, Yale University, New Haven, Connecticut 06511 john.murray@yale.edu.ORCID 0000-0003-4115-8181
Yale University · USUniversidade de São Paulo · BRNew York University · USUniversidade de Ribeirão Preto · BR

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
Recurrent Neual Circuit Basis of Time Integration and Decision MakingR01MH062349 · NIMH · YALE UNIVERSITY · PI WANG, XIAO-JING · 2001 to 2022
$7.2M
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling aDP5OD012109 · OD · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2012 to 2016
$1.8M
Linking Large-Scale Dysconnectivity in Schizophrenia to Cortical Circuit Function at the Individual Level through Computational Modeling and Multimodal NeuroimagingR01MH112746 · NIMH · YALE UNIVERSITY · PI MURRAY, JOHN DAVID · 2017 to 2020
$1.7M
Yale University Clinical and Translational Science Award ProgramTL1TR000141 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$720k
NCATS NIH HHS TL1 TR000141NCATS NIH HHS UL1 TR001863NIH HHS DP5 OD012109NIMH NIH HHS R01 MH062349NIMH NIH HHS R01 MH112746
6 · The paper itself

Abstract

The synaptic balance between excitation and inhibition (E/I balance) is a fundamental principle of cortical circuits, and disruptions in E/I balance are commonly linked to cognitive deficits such as impaired decision-making. Explanatory gaps remain in a mechanistic understanding of how E/I balance contributes to cognitive computations, and how E/I disruptions at the synaptic level can propagate to induce behavioral deficits. Here, we studied how E/I perturbations may impair perceptual decision-making in a biophysically-based association cortical circuit model. We found that both elevating and lowering E/I ratio, via NMDA receptor (NMDAR) hypofunction at inhibitory interneurons and excitatory pyramidal neurons, respectively, can similarly impair psychometric performance, following an inverted-U dependence. Nonetheless, these E/I perturbations differentially alter the process of evidence accumulation across time. Under elevated E/I ratio, decision-making is impulsive, overweighting early evidence and underweighting late evidence. Under lowered E/I ratio, decision-making is indecisive, with both evidence integration and winner-take-all competition weakened. The distinct time courses of evidence accumulation at the circuit level can be measured at the behavioral level, using multiple psychophysical task paradigms which provide dissociable predictions. These results are well captured by a generalized drift-diffusion model (DDM) with self-coupling, implementing leaky or unstable integration, which thereby links biophysical circuit modeling to algorithmic process modeling and facilitates model fitting to behavioral choice data. In general, our findings characterize critical roles of cortical E/I balance in cognitive function, bridging from biophysical to behavioral levels of analysis.

Indexed as

Computer SimulationModels, NeurologicalAnimalsCerebral CortexDecision MakingHumansNeural Pathwayscomputational modeldecision makingdrift-diffusion modelexcitation-inhibition balanceNMDAR hypofunctionpsychophysics

Identifiers

PMID34887320
PMCPMC8824494
OpenAlexW4220674095

What OpenQuestion holds

Textmetadata
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Registered trials

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.