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Increased Resting State Triple Network Functional Connectivity in Undergraduate Problematic Cannabis Users: A Preliminary EEG Coherence Study

Authors :
Claudio Imperatori
Chiara Massullo
Giuseppe Alessio Carbone
Angelo Panno
Marta Giacchini
Cristina Capriotti
Elisa Lucarini
Benedetta Ramella Zampa
Eric Murillo-Rodríguez
Sérgio Machado
Benedetto Farina
Source :
Brain Sciences, Vol 10, Iss 3, p 136 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

An increasing body of experimental data have suggested that aberrant functional interactions between large-scale networks may be the most plausible explanation of psychopathology across multiple mental disorders, including substance-related and addictive disorders. In the current research, we have investigated the association between problematic cannabis use (PCU) and triple-network electroencephalographic (EEG) functional connectivity. Twelve participants with PCU and 24 non-PCU participants were included in the study. EEG recordings were performed during resting state (RS). The exact Low-Resolution Electromagnetic Tomography software (eLORETA) was used for all EEG analyses. Compared to non-PCU, PCU participants showed an increased delta connectivity between the salience network (SN) and central executive network (CEN), specifically, between the dorsal anterior cingulate cortex and right posterior parietal cortex. The strength of delta connectivity between the SN and CEN was positively and significantly correlated with higher problematic patterns of cannabis use after controlling for age, sex, educational level, tobacco use, problematic alcohol use, and general psychopathology (rp = 0.40, p = 0.030). Taken together, our results show that individuals with PCU could be characterized by a specific dysfunctional interaction between the SN and CEN during RS, which might reflect the neurophysiological underpinnings of attentional and emotional processes of cannabis-related thoughts, memories, and craving.

Details

Language :
English
ISSN :
20763425
Volume :
10
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Brain Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.93b70b4e743c4911b203d869c35d5fa2
Document Type :
article
Full Text :
https://doi.org/10.3390/brainsci10030136