EEG-based network dynamics in cannabis and polydrug use: a directed transfer function approach

This study is the first to characterize frequency-specific EEG connectivity patterns associated with cannabis and polydrug use. The findings highlight the importance of studying substance use patterns and considering cannabis within a polysubstance context. A longitudinal study is needed to assess the effects of use duration, frequency, and dosage.

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Publication Details

Journal
Psychopharmacology
Published
2025-10-20
DOI
https://doi.org/10.1007/s00213-025-06933-5
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

EEG-based network dynamics in cannabis and polydrug use: a directed transfer function approach

Jakub Czarny, Alicja Anna Binkowska, Aneta Brzezicka, Michał Raczkowski et al.
Psychopharmacology
EEG and Brain-Computer Interfaces
article

EEG-based network dynamics in cannabis and polydrug use: a directed transfer function approach

Jakub Czarny, Alicja Anna Binkowska, Aneta Brzezicka, Michał Raczkowski, Maciej Kamiński, Katarzyna J. Blinowska, Anna Aleksandra Kaszyńska
article en

Abstract

This study is the first to characterize frequency-specific EEG connectivity patterns associated with cannabis and polydrug use. The findings highlight the importance of studying substance use patterns and considering cannabis within a polysubstance context. A longitudinal study is needed to assess the effects of use duration, frequency, and dosage.

Psychopharmacology
Uniwersytet SWPS (PL), University of Bydgoszcz (PL), Humanitas University in Sosnowiec (PL), Institute of Biocybernetics and Biomedical Engineering (PL), University of Warsaw (PL)
Openalex Percentile: Top 70%
EEG and Brain-Computer Interfaces
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EEG-based network dynamics in cannabis and polydrug use: a directed transfer function approach — Jakub Czarny, Alicja Anna Binkowska, et al. · Psychopharmacology (2025) | TGRS Research Map | TGRS