4.3 Article

Electrophysiological and behavioral correlates of cannabis use disorder

期刊

COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE
卷 22, 期 6, 页码 1421-1431

出版社

SPRINGER
DOI: 10.3758/s13415-022-01016-w

关键词

Cannabis use disorder; Alpha oscillation; Cortical activation; Electroencephalography; Attentional performance

资金

  1. Louis-Jeantet Foundation
  2. Swiss National Science Foundation [31003A_179373]
  3. Clinical Research Center, University Hospital and Faculty of Medicine, Geneva
  4. Swiss National Science Foundation (SNF) [31003A_179373] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

Current research indicates that long-term cannabis use can lead to cognitive deficits and widespread changes in brain activity. This study investigated the electrophysiological and behavioral correlates of cannabis dependence and found that patients with cannabis use disorder had higher levels of alpha rhythm and lower attentional performance compared to nonusers.
Current research indicates deficits in cognitive function together with widespread changes in brain activity following long-term cannabis use. In particular, cannabis use has been associated with excessive spectral power of the alpha rhythm (8-12 Hz), which is also known to be modulated during attentional states. Recent neuroimaging studies have linked heavy cannabis use with structural and metabolic changes in the brain; however, the functional consequences of these changes are still not fully characterized. This study investigated the electrophysiological and behavioral correlates of cannabis dependence by comparing patients with a cannabis use disorder (CUD; N = 24) with cannabis nonuser controls (N = 24), using resting state electroencephalogram (EEG) source-imaging. In addition to evaluating mean differences between groups, we also explored whether particular EEG patterns were associated with individual cognitive-behavioral measures. First, we replicated historical findings of elevated levels of (relative) alpha rhythm in CUD patients compared with controls and located these abnormalities to mainly prefrontal cortical regions. Importantly, we observed a significant negative correlation between alpha spectral power in several cortical regions and individual attentional performance in the Go/NoGo task. Because such relationship was absent in the nonuser control group, our results suggest that reduced prefrontal cortical activation (indexed by increased relative alpha power) could be partly responsible for the reported cognitive impairments in CUD. Our findings support the use of electroencephalography as a noninvasive and cost-effective tool for biomarker discovery in substance abuse and have the potential of directly informing future intervention strategies.

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