Evidence map›Paper›PMID 29957349›Full record

ArticlePsychiatry research. Neuroimaging2018

Fronto-striatal effective connectivity of working memory in adults with cannabis use disorder.

Liangsuo Ma, Joel L Steinberg, James M Bjork, Lori Keyser-Marcus, Jasmin Vassileva, Min Zhu, Venkatesh Ganapathy, Qin Wang, Edward L Boone, Sergi Ferré and 2 more

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research. Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Resting-State Directional Connectivity and Anxiety and Depression Symptoms in Adult Cannabis Users.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021
    Article
  16. Observational
  17. Article
  18. Article
  19. Review
  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

12 authors at 4 institutions in 2 countries.

Liangsuo MaInstitute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), 203 East Cary Street, Suite 202, Richmond, VA 23219, USA; Department of Radiology, Virginia Commonwealth University (VCU), Richmond, VA, USA. Electronic address: Liangsuo.ma@vcuhealth.org.
Joel L SteinbergInstitute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), 203 East Cary Street, Suite 202, Richmond, VA 23219, USA; Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA.
James M BjorkInstitute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), 203 East Cary Street, Suite 202, Richmond, VA 23219, USA; Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA.
Lori Keyser-MarcusInstitute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), 203 East Cary Street, Suite 202, Richmond, VA 23219, USA; Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA.
Jasmin VassilevaInstitute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), 203 East Cary Street, Suite 202, Richmond, VA 23219, USA; Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA.
Min ZhuRadiology Department, Mu Dang Jiang Medical University, Mu Dang Jiang, Hei Long Jiang, China.
Venkatesh GanapathyDepartment of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA.
Qin WangDepartment of Statistical Sciences and Operations Research, Virginia Commonwealth University (VCU), Richmond, VA, USA.
Edward L BooneDepartment of Statistical Sciences and Operations Research, Virginia Commonwealth University (VCU), Richmond, VA, USA.
Sergi FerréIntegrative Neurobiology Section, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Warren K BickelDepartment of Psychology, Virginia Tech, Roanoke, VA, USA.
F Gerard MoellerInstitute for Drug and Alcohol Studies, Virginia Commonwealth University (VCU), 203 East Cary Street, Suite 202, Richmond, VA 23219, USA; Department of Psychiatry, Virginia Commonwealth University (VCU), Richmond, VA, USA; Department of Pharmacology & Toxicology, VCU, Richmond, VA, USA; Department of Neurology, VCU, Richmond, VA, USA.
Virginia Commonwealth University · USCarilion Roanoke Memorial Hospital · USFirst Affiliated Hospital of Jiangxi Medical College · CNNational Institutes of Health · US

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
Striatal Effective Connectivity to Predict Treatment Response in Cocaine MisuseR01DA034131 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MA, LIANGSUO · 2013 to 2016
$1.4M
NCATS NIH HHS UL1 TR002649NIDA NIH HHS R01 DA034131
6 · The paper itself

Abstract

Previous working memory (WM) studies found that relative to controls, subjects with cannabis use disorder (CUD) showed greater brain activation in some regions (e.g., left [L] and right [R] ventrolateral prefrontal cortex [VLPFC], and L dorsolateral prefrontal cortex [L-DLPFC]), and lower activation in other regions (e.g., R-DLPFC). In this study, effective connectivity (EC) analysis was applied to functional magnetic resonance imaging data acquired from 23 CUD subjects and 23 controls (two groups matched for sociodemographic factors and substance use history) while performing an n-back WM task with interleaved 2-back and 0-back periods. A 2-back minus 0-back modulator was defined to measure the modulatory changes of EC corresponding to the 2-back relative to 0-back conditions. Compared to the controls, the CUD group showed smaller modulatory change in the R-DLPFC to L-caudate pathway, and greater modulatory changes in L-DLPFC to L-caudate, R-DLPFC to R-caudate, and R-VLPFC to L-caudate pathways. Based on previous fMRI studies consistently suggesting that greater brain activations are related to a compensatory mechanism for cannabis neural effects (less regional brain activations), the smaller modulatory change in the R-DLPFC to L-caudate EC may be compensated by the larger modulatory changes in the other prefrontal-striatal ECs in the CUD individuals.

Indexed as

AdultBrain MappingCase-Control StudiesCerebral CortexCorpus StriatumFemaleHumansMagnetic Resonance ImagingMaleMarijuana AbuseMemory, Short-TermPrefrontal CortexTask Performance and AnalysisYoung AdultCannabis use disorderDCMEffective connectivityMarijuana dependencePrefrontal-striatal circuitWorking memory

Identifiers

PMID29957349
PMCPMC6953485
OpenAlexW2807423775

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.