Skip to content

Cannabis users exhibit increased cortical activation during resting state compared to non-users

S. Prashad, Elizabeth S. Dedrick, F. Filbey

Neuroimage June 9, 2018 DOI: 10.1016/j.neuroimage.2018.06.031 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational cohort Peer reviewed
Sample size 38
Population Cannabis users and non-using controls matched for age and sex
Topics Cannabis
Key findings Cannabis users exhibited decreased delta and increased theta, beta, and gamma power, along with increased interhemispheric and intrahemispheric coherence, compared to controls.

Abstract

&NA; Studies have shown altered task‐based brain functioning as a result of cannabis use. To date, however, whether similar alterations in baseline resting state and functional organization of neural activity are observable in cannabis users remains unknown. We characterized global resting state cortical activations and functional connectivity via electroencephalography (EEG) in cannabis users and related these activations to measures of cannabis use. Resting state EEG in the eyes closed condition was collected from age‐ and sex‐matched cannabis users (N = 17; 6 females; mean age = 30.9 ± 7.4 years) and non‐using controls (N = 21; 9 females; mean age = 33.1 ± 11.6 years). Power spectral density and spectral coherence were computed to determine differences in cortical activations and connectivity between the two groups in the delta (1–4Hz), theta (4–7 Hz), alpha (8–12 Hz), beta (13–30 Hz), and gamma (31–50 Hz) frequency bands. Cannabis users exhibited decreased delta and increased theta, beta, and gamma power compared to controls, suggesting increased cortical activation in resting state and a disinhibition of inhibitory functions that may interrupt cognitive processes. Cannabis users also exhibited increased interhemispheric and intrahemispheric coherence relative to controls, reduced mean network degree, and increased clustering coefficient in specific regions and frequencies. This increased cortical activity may indicate a loss of neural refinement and efficiency that may indicate a “noisy” brain. Lastly, measures related to cannabis use were correlated with spectral power and functional connectivity measures, indicating that specific electrophysiological signals are associated with cannabis use. These results suggest that there are differences in cortical activity and connectivity between cannabis users and non‐using controls in the resting state that may be related to putative cognitive impairments and can inform effectiveness of intervention programs. HighlightsGlobal resting state cortical activity in cannabis users was measured using EEG.Users exhibited increased cortical activity and connectivity compared to controls.Increased activity reflects a noisy brain with loss of neural refinement and efficiency.This increase may underlie putative cognitive impairments in cannabis users.EEG signals may be useful neural correlates for tracking progress and efficacy of interventions.

Comparable studies

Other observational and cohort studies on cannabis, most cited first.

Study Year Design Participants
High-potency cannabis and the risk of psychosis People with first episode of psychosis and healthy controls from the local population 2009 Case-control study n = 454
Ayahuasca-Assisted Therapy for Addiction: Results from a Preliminary Observational Study in Canada Rural aboriginal population 2013 Observational study
Impaired cognitive performance in drug free users of recreational ecstasy (MDMA) Otherwise healthy young people 2000 Observational
Continued cannabis use and risk of incidence and persistence of psychotic symptoms: 10 year follow-up cohort study Individuals from the general population in Germany aged 14-24 at baseline 2011 Observational cohort n = 1,923
Cannabis-induced psychosis and subsequent schizophrenia-spectrum disorders: follow-up study of 535 incident cases Patients treated for cannabis-induced psychotic symptoms in Denmark between 1994 and... 2005 Observational cohort n = 535

Citations in the library

Explore topics