The effects of cannabis abstinence on cognition and resting state network activity in people with multiple sclerosis: A preliminary study

IF 3.4 2区 医学 Q2 NEUROIMAGING Neuroimage-Clinical Pub Date : 2024-01-01 DOI:10.1016/j.nicl.2024.103622
Cecilia Meza , Cristiana Stefan , W. Richard Staines , Anthony Feinstein
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Abstract

We previously reported that people with multiple sclerosis (pwMS) who have been using cannabis frequently over many years can have significant cognitive improvements accompanied by concomitant task-specific changes in brain activation following 28 days of cannabis abstinence. We now hypothesize that the default Mode Network (DMN), known to modulate cognition, would also show an improved pattern of activation align with cognitive improvement following 28 days of drug abstinence. Thirty three cognitively impaired pwMS who were frequent cannabis users underwent a neuropsychological assessment and fMRI at baseline. Individuals were then assigned to a cannabis continuation (CC, n = 15) or withdrawal (CW, n = 18) group and the cognitive and imaging assessments were repeated after 28 days. Compliance with cannabis withdrawal was checked with regular urine monitoring. Following acquisition of resting state fMRI (rs-fMRI), data were processed using independent component analysis (ICA) to identify the DMN spatial map. Between and within group analyses were carried out using dual regression for voxel-wise comparisons of the DMN. Clusters of voxels were considered statistically significant if they survived threshold-free cluster enhancement (TFCE) correction at p < 0.05. The two groups were well matched demographically and neurologically at baseline. The dual regression analysis revealed no between group differences at baseline in the DMN. By day 28, the CW group in comparison to the CC group had increased activation in the left posterior cingulate, and right, angular gyrus (p < 0.05 for both, TFCE). A within group analysis for the CC group revealed no changes in resting state (RS) networks. Within group analysis of the CW group revealed increased activation at day 28 versus baseline in the left posterior cingulate, right angular gyrus, left hippocampus (BA 36), and the right medial prefrontal cortex (p < 0.05). The CW group showed significant improvements in multiple cognitive domains. In summary, our study revealed that abstaining from cannabis for 28 days reverses activation of DMN activity in pwMS in association with improved cognition across several domains.

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戒除大麻对多发性硬化症患者认知和静息态网络活动的影响:初步研究
我们以前曾报道过,多年频繁吸食大麻的多发性硬化症患者(pwMS)在戒除大麻 28 天后,认知能力会有明显改善,同时大脑激活也会发生任务特异性变化。我们现在假设,已知能调节认知的默认模式网络(DMN)也会在戒毒 28 天后显示出与认知改善相一致的激活模式。33 名认知能力受损、经常吸食大麻的吸毒者接受了神经心理学评估,并在基线时接受了 fMRI 检查。然后,这些人被分配到继续吸食大麻组(CC,n = 15)或戒断大麻组(CW,n = 18),28 天后再次进行认知和成像评估。通过定期尿液监测来检查戒断大麻的依从性。获取静息状态 fMRI(rs-fMRI)后,使用独立成分分析(ICA)对数据进行处理,以确定 DMN 空间图。组间和组内分析采用双重回归法对 DMN 的体素进行比较。如果体素集群经无阈值集群增强(TFCE)校正(p < 0.05)后仍然存在,则被认为具有统计学意义。两组患者在人口统计学和神经学基线上完全匹配。双重回归分析显示,两组在 DMN 的基线上没有差异。到第28天时,CW组与CC组相比,左侧扣带回后部和右侧角回的激活程度有所提高(两者的TFCE值均为0.05)。CC 组的组内分析显示,静息状态(RS)网络没有变化。CW 组的组内分析显示,第 28 天时,左侧扣带回后部、右侧角回、左侧海马(BA 36)和右侧内侧前额叶皮层的激活程度与基线相比有所提高(p < 0.05)。CW组在多个认知领域都有明显改善。总之,我们的研究表明,禁食大麻 28 天可逆转 pwMS 中 DMN 活动的激活,同时改善多个领域的认知能力。
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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
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