Evidence map›Paper›PMID 35698004›Full record

ArticleCognitive, affective & behavioral neuroscience2022

Electrophysiological and behavioral correlates of cannabis use disorder.

Théo Andriot, Patrick Ohnmacht, Patrik Vuilleumier, Gabriel Thorens, Yasser Khazaal, Nathalie Ginovart, Tomas Ros

Open access · hybridAbstract read
In one paragraph

Article in Cognitive, affective & behavioral neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. THC and CBD: Villain versus Hero? Insights into Adolescent Exposure.International journal of molecular sciences · 2023
    Review
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

7 authors at 1 institution in 3 countries.

Théo AndriotDepartment of Basic Neurosciences, University of Geneva, Geneva, Switzerland. andriot.theo@gmail.com.ORCID 0000-0001-9169-6047
Patrick OhnmachtDepartment of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
Patrik VuilleumierDepartment of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
Gabriel ThorensDepartment of Psychiatry, University of Geneva, Geneva, Switzerland.
Yasser KhazaalDepartment of Psychiatry, University of Geneva, Geneva, Switzerland.
Nathalie GinovartDepartment of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
Tomas RosDepartment of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
University of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current research indicates deficits in cognitive function together with widespread changes in brain activity following long-term cannabis use. In particular, cannabis use has been associated with excessive spectral power of the alpha rhythm (8-12 Hz), which is also known to be modulated during attentional states. Recent neuroimaging studies have linked heavy cannabis use with structural and metabolic changes in the brain; however, the functional consequences of these changes are still not fully characterized. This study investigated the electrophysiological and behavioral correlates of cannabis dependence by comparing patients with a cannabis use disorder (CUD; N = 24) with cannabis nonuser controls (N = 24), using resting state electroencephalogram (EEG) source-imaging. In addition to evaluating mean differences between groups, we also explored whether particular EEG patterns were associated with individual cognitive-behavioral measures. First, we replicated historical findings of elevated levels of (relative) alpha rhythm in CUD patients compared with controls and located these abnormalities to mainly prefrontal cortical regions. Importantly, we observed a significant negative correlation between alpha spectral power in several cortical regions and individual attentional performance in the Go/NoGo task. Because such relationship was absent in the nonuser control group, our results suggest that reduced prefrontal cortical activation (indexed by increased relative alpha power) could be partly responsible for the reported cognitive impairments in CUD. Our findings support the use of electroencephalography as a noninvasive and cost-effective tool for biomarker discovery in substance abuse and have the potential of directly informing future intervention strategies.

Indexed as

Marijuana AbuseSubstance-Related DisordersAttentionBrainElectroencephalographyHumansAlpha oscillationAttentional performanceCannabis use disorderCortical activationElectroencephalography

Identifiers

PMID35698004
PMCPMC9622528
OpenAlexW4282828966

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.