Neurofeedback training for alcohol dependence versus treatment as usual: study protocol for a randomized controlled trial.

Neurofeedback training for alcohol dependence versus treatment as usual: study protocol for a randomized controlled trial.
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DOI:
10.1186/s13063-016-1607-7
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发表时间:
2016-10-03
期刊:
影响因子:
2.5
通讯作者:
Ihssen N
Ihssen N
中科院分区:
医学4区
文献类型:
--
作者:
Cox WM;Subramanian L;Linden DE;Lührs M;McNamara R;Playle R;Hood K;Watson G;Whittaker JR;Sakhuja R;Ihssen N

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实时功能磁共振成像(RtfMRI)用于神经反馈训练(NFT)。初步结果表明,它可以帮助患者控制自己的症状。这项研究使用rtfMRI NFT预防酒精依赖的复发。参与者是在过去6个月内完成戒毒计划并一直戒酒的酒精依赖患者。对潜在参与者进行资格筛选,将符合条件的患者随机分配到治疗组(在照常治疗的基础上接受rtfMRI NFT治疗)或对照组(仅照常接受治疗)。两组参与者都接受了基线评估,以衡量他们的饮酒量和依赖程度,以及各种心理和行为特征,这些特征被假设为预测rtfMRI NFT的成功。在接下来的4个月里,实验参与者接受了6次NFT治疗,在每次治疗前后都采取了各种与酒精相关的措施。控制组的参与者被给予相同的措施,以配合他们在试验组的时间。在基线评估8个月和12个月后,两组都接受了一系列措施的跟进。主要的研究问题是,NFT是否可以用来教参与者在酒精刺激下下调他们的大脑激活,或者在与健康目标追求相关的图片中上调他们的大脑激活,如果是这样的话,这是否转化为酒精消耗量的减少。主要的结果衡量标准将是那些来自脑功能成像数据的结果。我们感兴趣的是参与者酒精摄入量较治疗前水平的改善(即减少),正如三个连续变量所表明的那样,而不仅仅是个人是否保持戒酒。感兴趣的指数是戒酒天数百分比、每天饮酒百分比和重度饮酒天数百分比。一般线性模型将用于比较NFT组和控制组在这些措施上的差异。酒精依赖的复发是一个反复出现的问题,目前对rtfMRI在其治疗中的作用的评估有望找到防止复发的方法。ClinicalTrials.gov标识:NCT02486900,注册于2015年6月26日。本文的在线版本(doi:10.1186/s13063-016-1607-7)包含补充材料,授权用户可以使用。
Real-time functional magnetic resonance imaging (rtfMRI) is used for neurofeedback training (NFT). Preliminary results suggest that it can help patients to control their symptoms. This study uses rtfMRI NFT for relapse prevention in alcohol dependence. Participants are alcohol-dependent patients who have completed a detoxification programme within the past 6 months and have remained abstinent. Potential participants are screened for eligibility, and those who are eligible are randomly assigned to the treatment group (receiving rtfMRI NFT in addition to treatment as usual) or the control group (receiving only treatment as usual). Participants in both groups are administered baseline assessments to measure their alcohol consumption and severity of dependence and a variety of psychological and behavioural characteristics that are hypothesised to predict success with rtfMRI NFT. During the following 4 months, experimental participants are given six NFT sessions, and before and after each session various alcohol-related measures are taken. Participants in the control group are given the same measures to coincide with their timing in the experimental group. Eight and 12 months after the baseline assessment, both groups are followed up with a battery of measures. The primary research questions are whether NFT can be used to teach participants to down-regulate their brain activation in the presence of alcohol stimuli or to up-regulate their brain activation in response to pictures related to healthy goal pursuits, and, if so, whether this translates into reductions in alcohol consumption. The primary outcome measures will be those derived from the functional brain imaging data. We are interested in improvements (i.e., reductions) in participants’ alcohol consumption from pretreatment levels, as indicated by three continuous variables, not simply whether or not the person has remained abstinent. The indices of interest are percentage of days abstinent, drinks per drinking day, and percentage of days of heavy drinking. General linear models will be used to compare the NFT group and the control group on these measures. Relapse in alcohol dependence is a recurring problem, and the present evaluation of the role of rtfMRI in its treatment holds promise for identifying a way to prevent relapse. ClinicalTrials.gov Identifier: NCT02486900, registered on 26 June 2015. The online version of this article (doi:10.1186/s13063-016-1607-7) contains supplementary material, which is available to authorized users.
DOI: 10.3389/fnbeh.2014.00392
发表时间: 2014
影响因子: 3
作者:
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DOI: 10.1523/jneurosci.3498-11.2011
发表时间: 2011-11-09
影响因子: 5.3
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期刊: CEREBRAL CORTEX
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发表时间: 2005-12-20
影响因子: 11.1
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DOI: 10.1111/j.1530-0277.1995.tb01554.x
发表时间: 1995-06-01
影响因子: 3.2
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