Schach Sophia, Rings Thorsten, Bregulla Madeleine, Witt Juri-Alexander, Bröhl Timo, Surges Rainer, von Wrede Randi, Lehnertz Klaus, Helmstaedter Christoph
Department of Epileptology, University Hospital Bonn, Bonn, Germany.
Helmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Bonn, Germany.
Front Neurosci. 2022 Mar 3;16:828283. doi: 10.3389/fnins.2022.828283. eCollection 2022.
There is evidence that biofeedback of electrodermal activity (EDA) can reduce seizure frequency in people with epilepsy. Prior studies have linked EDA biofeedback to a diffuse brain activation as a potential functional mechanism. Here, we investigated whether short-term EDA biofeedback alters EEG-derived large-scale functional brain networks in people with epilepsy. In this prospective controlled trial, thirty participants were quasi-randomly assigned to one of three biofeedback conditions (arousal, sham, or relaxation) and performed a single, 30-min biofeedback training while undergoing continuous EEG recordings. Based on the EEG, we derived evolving functional brain networks and examined their topological, robustness, and stability properties over time. Potential effects on attentional-executive functions and mood were monitored a neuropsychological assessment and subjective self-ratings. Participants assigned to the relaxation group seemed to be most successful in meeting the task requirements for this specific control condition (i.e., decreasing EDA). Participants in the sham group were more successful in increasing EDA than participants in the arousal group. However, only the arousal biofeedback training was associated with a prolonged robustness-enhancing effect on networks. Effects on other network properties were mostly unspecific for the different groups. None of the biofeedback conditions affected attentional-executive functions or subjective behavioral measures. Our results suggest that global characteristics of evolving functional brain networks are modified by EDA biofeedback. Some alterations persisted after the single training session; however, the effects were largely unspecific across the different biofeedback protocols. Further research should address changes of local network characteristics and whether multiple training sessions will result in more specific network modifications.
有证据表明,皮肤电活动(EDA)生物反馈可降低癫痫患者的癫痫发作频率。先前的研究已将EDA生物反馈与弥漫性脑激活联系起来,作为一种潜在的功能机制。在此,我们研究了短期EDA生物反馈是否会改变癫痫患者基于脑电图(EEG)得出的大规模功能性脑网络。在这项前瞻性对照试验中,30名参与者被准随机分配到三种生物反馈条件(唤醒、假刺激或放松)之一,并在进行连续EEG记录的同时进行一次30分钟的生物反馈训练。基于EEG,我们得出了不断演变的功能性脑网络,并随时间检查了它们的拓扑、稳健性和稳定性特性。通过神经心理学评估和主观自我评分监测对注意力执行功能和情绪的潜在影响。分配到放松组的参与者似乎最成功地满足了这一特定对照条件的任务要求(即降低EDA)。假刺激组的参与者在增加EDA方面比唤醒组的参与者更成功。然而,只有唤醒生物反馈训练与对网络的长期稳健性增强效应相关。对其他网络特性的影响在不同组中大多是非特异性的。没有一种生物反馈条件影响注意力执行功能或主观行为测量。我们的结果表明,EDA生物反馈会改变不断演变的功能性脑网络的全局特征。单次训练后一些改变仍然存在;然而,这些影响在不同的生物反馈方案中大多是非特异性的。进一步的研究应关注局部网络特征的变化以及多次训练是否会导致更具特异性的网络改变。