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

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cris.lastimport.scopus2025-12-12T04:11:05Z
dc.abstract.enRationale and Objectives Cannabis is often consumed in polysubstance contexts, yet research comparing its isolated use to polydrug use is limited. Such comparisons are essential for understanding substance‑specific versus interactive effects on brain activity. This study investigates how cannabis‑only and polydrug use relate to alterations in resting‑state EEG functional connectivity, using the Directed Transfer Function (DTF) to assess frequency‑specific information flow in the brain. Methods Three age‑ and sex‑matched groups were studied: individuals with cannabis‑only use (n=27), polydrug use (n=29), and non‑drug‑using controls (n=30). Resting‑state EEG was recorded under eyes‑open and eyes‑closed conditions. DTF was applied to quantify directed connectivity and frequency‑dependent propagation of neural signals across brain regions. Results Individuals with cannabis‑only use exhibited localized changes in neural propagation, particularly in frontal areas and within theta, beta, and gamma bands, while alpha‑band activity remained relatively stable. In contrast, individuals with polydrug use showed more widespread and complex alterations in connectivity, including reduced alpha activity and increased frontal and prefrontal engagement, suggesting heightened excitation and possible compensatory mechanisms. Conclusions 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.
dc.affiliationWydział Psychologii w Warszawie
dc.affiliationInstytut Psychologii
dc.contributor.authorBinkowska, Alicja Anna
dc.contributor.authorKaszyńska, Anna
dc.contributor.authorKamiński, Maciej
dc.contributor.authorBlinowska, Katarzyna
dc.contributor.authorCzarny, Jakub
dc.contributor.authorRaczkowski, Michał
dc.contributor.authorBrzezicka, Aneta
dc.date.access2025-12-08
dc.date.accessioned2025-12-08T07:43:53Z
dc.date.available2025-12-08T07:43:53Z
dc.date.created2025-10-02
dc.date.issued2025-10-20
dc.description.accesstimeat_publication
dc.description.sdgGoodHealthAndWellBeing
dc.description.versionfinal_published
dc.identifier.doi10.1007/s00213-025-06933-5
dc.identifier.eissn1432-2072
dc.identifier.issn0033-3158
dc.identifier.urihttps://share.swps.edu.pl/handle/swps/2067
dc.identifier.weblinkhttps://link.springer.com/article/10.1007/s00213-025-06933-5
dc.languageen
dc.pbn.affiliationpsychologia
dc.rightsCC-BY-NC-ND
dc.rights.explanationzamknięty dostęp
dc.rights.questionYes_rights
dc.share.articleOTHER
dc.subject.enDirected functional connectivity
dc.subject.enCannabis
dc.subject.enDrug use
dc.subject.enPolydrug use
dc.subject.enDirected Transfer Function (DTF)
dc.subject.enResting‑state EEG
dc.swps.sciencecloudnosend
dc.titleEEG-based network dynamics in cannabis and polydrug use: a directed transfer function approach
dc.title.journalPsychopharmacology
dc.typeJournalArticle
dspace.entity.typeArticle