Evidence map›Paper›PMID 25336321›Full record

ArticleBrain connectivity2015

Inhibitory behavioral control: a stochastic dynamic causal modeling study using network discovery analysis.

Liangsuo Ma, Joel L Steinberg, Kathryn A Cunningham, Scott D Lane, Larry A Kramer, Ponnada A Narayana, Thomas R Kosten, Antoine Bechara, F Gerard Moeller

Abstract read
In one paragraph

Article in Brain connectivity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  3. Article
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  9. Article
  10. Clinically Anxious Individuals Show Disrupted Feedback between Inferior Frontal Gyrus and Prefrontal-Limbic Control Circuit.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  11. Article
  12. Article
  13. 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

9 authors.

Liangsuo Ma1 Department of Radiology, Virginia Commonwealth University , Richmond, Virginia.
Joel L Steinberg
Kathryn A Cunningham
Scott D Lane
Larry A Kramer
Ponnada A Narayana
Thomas R Kosten
Antoine Bechara
F Gerard Moeller

Funding

Translational MR Imaging in Cocaine Pharmacotherapy DevelopmentP50DA009262 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI GREEN, CHARLES EDWARD · 1994 to 2014
$26.9M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Tiagabine and Disulfiram for Cocaine DependenceP50DA018197 · NIDA · YALE UNIVERSITY · PI KOSTEN, THOMAS RICHARD · 2004 to 2013
$12.6M
Translational Addiction Sciences CenterP50DA033935 · NIDA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI CUNNINGHAM, KATHRYN A. · 2013 to 2017
$6.7M
Translational Center on Serotonin and Stimulant AddictionP20DA024157 · NIDA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI CUNNINGHAM, KATHRYN A. · 2007 to 2012
$4.2M
Striatal Effective Connectivity to Predict Treatment Response in Cocaine MisuseR01DA034131 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MA, LIANGSUO · 2013 to 2016
$1.4M
Addiction and the Neuropharmacology of PsychostimulantsK05DA020087 · NIDA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI CUNNINGHAM, KATHRYN A. · 2005 to 2015
$1.3M
MRS: NEUROLOGICAL DVMT &DISORDERS: LEARNING, READING, COGNITIVE, APHASIA, DYSLES10RR019186 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI NARAYANA, PONNADA A · 2004 to 2004
$500k
NCATS NIH HHS UL1 TR000371NCRR NIH HHS 1 S10 RR019186-01NIDA NIH HHS K05 DA020087NIDA NIH HHS P20 DA024157NIDA NIH HHS P50 DA009262NIDA NIH HHS P50 DA018197NIDA NIH HHS P50 DA033935NIDA NIH HHS R01 DA034131
6 · The paper itself

Abstract

This study employed functional magnetic resonance imaging (fMRI)-based dynamic causal modeling (DCM) to study the effective (directional) neuronal connectivity underlying inhibitory behavioral control. fMRI data were acquired from 15 healthy subjects while they performed a Go/NoGo task with two levels of NoGo difficulty (Easy and Hard NoGo conditions) in distinguishing spatial patterns of lines. Based on the previous inhibitory control literature and the present fMRI activation results, 10 brain regions were postulated as nodes in the effective connectivity model. Due to the large number of potential interconnections among these nodes, the number of models for final analysis was reduced to a manageable level for the whole group by conducting DCM Network Discovery, which is a recently developed option within the Statistical Parametric Mapping software package. Given the optimum network model, the DCM Network Discovery analysis found that the locations of the driving input into the model from all the experimental stimuli in the Go/NoGo task were the amygdala and the hippocampus. The strengths of several cortico-subcortical connections were modulated (influenced) by the two NoGo conditions. Specifically, connectivity from the middle frontal gyrus (MFG) to hippocampus was enhanced by the Easy condition and further enhanced by the Hard NoGo condition, possibly suggesting that compared with the Easy NoGo condition, stronger control from MFG was needed for the hippocampus to discriminate/learn the spatial pattern in order to respond correctly (inhibit), during the Hard NoGo condition.

Indexed as

Inhibition, PsychologicalAdultBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleModels, NeurologicalNerve NetStochastic ProcessesYoung Adultdynamic causal modelingGo/NoGoimpulsivityinhibitory controltop-down

Identifiers

PMID25336321
PMCPMC4394161

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.