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Structural network topology revealed by white matter tractography in cannabis users: a graph theoretical analysis.

Dae-Jin Kim, Patrick D. Skosnik, Hu Cheng, Ben J Pruce, Margaret S Brumbaugh, Jennifer M Vollmer, William P Hetrick, Brian F O'Donnell, Olaf Sporns, Aina Puce, Sharlene D. Newman

Brain Connectivity 2011 DOI: 10.1089/brain.2011.0053 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational case-control study Peer reviewed
Sample size 25
Population 12 adult cannabis users and 13 healthy control subjects
Topics Cannabis
Key findings Cannabis users showed significantly decreased global network efficiency and significantly increased clustering coefficients compared with controls, along with altered local network organization in the cingulate region, while both groups retained small-world network attributes. The authors indicate these differences may reflect synaptic plasticity secondary to substance abuse or pre-existing vulnerability to substance use.

Abstract

Endocannabinoid receptors modulate synaptic plasticity in the brain and may therefore impact cortical connectivity not only during development but also in response to substance abuse in later life. Such alterations may not be evident in volumetric measures utilized in brain imaging, but could affect the local and global organization of brain networks. To test this hypothesis, we used a novel computational approach to estimate network measures of structural brain connectivity derived from diffusion tensor imaging (DTI) and white matter tractography. Twelve adult cannabis (CB) users and 13 healthy subjects were evaluated using a graph theoretic analysis of both global and local brain network properties. Structural brain networks in both CB subjects and controls exhibited robust small-world network attributes in both groups. However, CB subjects showed significantly decreased global network efficiency and significantly increased clustering coefficients (degree to which nodes tend to cluster around individual nodes). CB subjects also exhibited altered patterns of local network organization in the cingulate region. Among all subjects, schizotypal and impulsive personality characteristics correlated with global efficiency but not with the clustering coefficient. Our data indicate that structural brain networks in CB subjects are less efficiently integrated and exhibit altered regional connectivity. These differences in network properties may reflect physiological processes secondary to substance abuse-induced synaptic plasticity, or differences in brain organization that increase vulnerability to substance use.

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

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