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Multimodal magnetoencephalography and electroencephalography exploration of the acute effects of THC exposure on neural noise and information transmission within working memory networks

Multimodal magnetoencephalography and electroencephalography exploration of the acute effects of THC exposure on neural noise and information transmission within working memory networks
多模态脑磁图和脑电图探索 THC 暴露对工作记忆网络内神经噪声和信息传输的急性影响
批准号:
10453350
负责人:
Jose A CORTES-BRIONES
金额:
$19.64万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-15 至 2024-07-31

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中文摘要
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英文摘要
ABSTRACT Cannabis is one of the most widely used substances. As the legalization of both medical and recreational cannabis sweeps across the country, the use and misuse of cannabis is expected to increase, likely related to a decreasing perception of risk. Also, the concentration of the psychoactive component of cannabis, delta-9- tetrahydrocannabinol (THC), has been on the rise in recreationally available cannabis over recent decades, and of consequence, cannabis, especially high in THC, has been associated with detrimental cognitive and mental health outcomes. THC is thought to disrupt cognitive function by altering the brain’s ability to transfer and process information in cortical networks critical for perception, learning, and memory. Thus, there is an urgent need to understand the psychophysiology of THC exposure. The objective of this study is to evaluate acute effects of THC on proximal (magnetoencephalography / electroencephalography; MEG/EEG) and distal (cognition) measures of brain function. This 2-test day, double-blind, placebo-controlled, cross-over study will use advanced source analyses for multimodal MEG/EEG signals to determine the changes in the activity and connectivity of cognitive neural networks induced by THC in non-users of cannabis (n = 20). To our knowledge, this proof of concept study will be the first to use MEG/EEG to examine the acute effects of THC on brain activity and connectivity and their relation to cognition.
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Decoding inner speech: An AI approach to transcribing thoughts via EEG & EMG
  • 批准号:
    10058047
  • 项目类别:
  • 资助金额:
    $52.36万
  • 财政年份:
    2020
  • 负责人:
    Jose A CORTES-BRIONES
  • 依托单位:
海外基金