关键词: Cannabis use gamma magnetoencephalography motor control motor cortex

来  源:   DOI:10.1177/02698811241268876

Abstract:
UNASSIGNED: People who regularly use cannabis exhibit altered brain dynamics during cognitive control tasks, though the impact of regular cannabis use on the neural dynamics serving motor control remains less understood.
UNASSIGNED: We sought to investigate how regular cannabis use modulates the neural dynamics serving motor control.
UNASSIGNED: Thirty-four people who regularly use cannabis (cannabis+) and 33 nonusers (cannabis-) underwent structured interviews about their substance use history and performed the Eriksen flanker task to map the neural dynamics serving motor control during high-density magnetoencephalography (MEG). The resulting neural data were transformed into the time-frequency domain to examine oscillatory activity and were imaged using a beamforming approach.
UNASSIGNED: MEG sensor-level analyses revealed robust beta (16-24 Hz) and gamma oscillations (66-74 Hz) during motor planning and execution, which were imaged using a beamformer. Both responses peaked in the left primary motor cortex and voxel time series were extracted to evaluate the spontaneous and oscillatory dynamics. Our key findings indicated that the cannabis+ group exhibited weaker spontaneous gamma activity in the left primary motor cortex relative to the cannabis- group, which scaled with cannabis use and behavioral metrics. Interestingly, regular cannabis use was not associated with differences in oscillatory beta and gamma activity, and there were no group differences in spontaneous beta activity.
UNASSIGNED: Our findings suggest that regular cannabis use is associated with suppressed spontaneous gamma activity in the left primary motor cortex, which scales with the degree of cannabis use disorder symptomatology and is coupled to behavioral task performance.
摘要:
经常使用大麻的人在认知控制任务中表现出改变的脑动力,尽管经常使用大麻对提供运动控制的神经动力学的影响尚不清楚。
我们试图研究常规使用大麻如何调节提供运动控制的神经动力学。
34名经常使用大麻(大麻+)和33名不使用大麻(大麻-)的人接受了有关其物质使用史的结构化访谈,并执行了Eriksen侧翼任务,以绘制在高密度脑磁图(MEG)期间用于运动控制的神经动力学。将所得的神经数据转换到时频域以检查振荡活动,并使用波束形成方法进行成像。
MEG传感器级分析揭示了在电机规划和执行过程中的稳健β(16-24Hz)和伽马振荡(66-74Hz),使用波束形成器成像。两种反应在左初级运动皮层和体素时间序列中均达到峰值,以评估自发和振荡动力学。我们的关键发现表明,大麻+组表现出较弱的自发γ活动在左初级运动皮质相对于大麻组,根据大麻的使用和行为指标进行缩放。有趣的是,经常使用大麻与振荡β和γ活性的差异无关,自发β活性没有组间差异。
我们的研究结果表明,经常使用大麻与左侧初级运动皮层自发伽玛活动抑制有关,它与大麻使用障碍症状学的程度成比例,并与行为任务表现相结合。
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