Translational Research Center, University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, CH-3000 60 Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Fabrikstrasse 8, CH-3012 Bern, Switzerland.
Translational Research Center, University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, CH-3000 60 Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Fabrikstrasse 8, CH-3012 Bern, Switzerland.
Neuroscience. 2018 May 15;378:146-154. doi: 10.1016/j.neuroscience.2016.12.005. Epub 2016 Dec 20.
Neurofeedback is becoming increasingly sophisticated and widespread, although predictors of successful performance still remain scarce. Here, we explored the possible predictive value of psychological factors and report the results obtained from a neurofeedback training study designed to enhance the self-regulation of spontaneous EEG microstates of a particular type (microstate class D). Specifically, we were interested in life satisfaction (including motivational incongruence), body awareness, personality and trait anxiety. These variables were quantified with questionnaires before neurofeedback. Individual neurofeedback success was established by means of linear mixed models that accounted for the amount of observed target state (microstate class D contribution) as a function of time and training condition: baseline, training and transfer (results shown in Diaz Hernandez et al.). We found a series of significant negative correlations between motivational incongruence and mean percentage increase of microstate D during the condition transfer, across-sessions (36% of common variance) and mean percentage increase of microstate D during the condition training, within-session (42% of common variance). There were no significant correlations related to other questionnaires, besides a trend in a sub-scale of the Life Satisfaction questionnaire. We conclude that motivational incongruence may be a potential predictor for neurofeedback success, at least in the current protocol. The finding may be explained by the interfering effect on neurofeedback performance produced by incompatible simultaneously active psychological processes, which are indirectly measured by the Motivational Incongruence questionnaire.
神经反馈技术日益成熟和普及，但成功表现的预测因素仍然稀缺。在这里，我们探讨了心理因素的可能预测价值，并报告了旨在增强特定类型（微状态类 D）自发 EEG 微状态自我调节的神经反馈训练研究的结果。具体而言，我们对生活满意度（包括动机不一致）、身体意识、个性和特质焦虑感兴趣。这些变量在神经反馈之前通过问卷进行量化。个体神经反馈的成功是通过线性混合模型确定的，该模型考虑了观察到的目标状态（微状态类 D 的贡献）随时间和训练条件的变化：基线、训练和转移（结果如图阿兹赫尔南德斯等人所示）。我们发现，在转移条件期间，动机不一致与微状态 D 的平均百分比增加之间存在一系列显著的负相关，跨会话（共同方差的 36%）和微状态 D 的平均百分比增加在会话内训练条件（共同方差的 42%）。除了生活满意度问卷的一个子量表存在趋势外，与其他问卷没有显著相关性。我们得出结论，动机不一致可能是神经反馈成功的一个潜在预测因素，至少在当前方案中是这样。这一发现可以用动机不一致问卷间接测量的同时活动的心理过程之间的不兼容对神经反馈性能的干扰效应来解释。
