Can neurofeedback-based modification of functional cerebral asymmetries and anterior cingulate activation improve the treatment of depressive disorders?
基于神经反馈的功能性大脑不对称性和前扣带回激活的修正能否改善抑郁症的治疗?
基本信息
- 批准号:256755839
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2014
- 资助国家:德国
- 起止时间:2013-12-31 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
MRI-based neurofeedback enables subjects to gain control over their own brain activity. The technique is relatively simple and straightforward: while the subject lies in an MRI scanner, her brain acitivity is measured and visualized in realtime. Thereby, the subject can learn through which kind of mental operations, imagery or feelings the monitored brain activity increases or decreases, and after a while deliberately control her own brain activity. This technique may offer a wide range of applications. Since it allows to foster cognitive processing and to improve emotional control, it may not only be useful for research and teaching, but probably also for the treatment of mental diseases. In this project, we want to investigate to which extent MRI-based neurofeedback can help in the treatment of depressive disorders. With a lifetime incidence of about 20 percent, depressive disorders constitute a major part of mental diseases. And inspite of highly developed medications and psychotherapies, many patients cannot entirely be treated with the treatment options available so far.Depressive disorders typically go along with several characteristic neuronal features. Among other things, there is a dysbalance of the activations whithin the prefrontal cortex, a brain structure dedicated to executive functions, working memory and decision making. While the left prefronal cortex is usually too weakly activated, the right prefronal cortex is often too strongly activated. In a first study, we therefore attempt to reduce this dysbalance in order to see how much depressive symptoms abate in the process. In addition, depressive patients often show a hyperconnectivity within the prefrontal cortex and possibly also a hyperconnectivity between prefrontal cortex and amygdala. Since previous studies demonstrated that MRI-based neurofeedback cannot only alter the activity of particular brain regions, but also influence the connections between brain structures, we want to observe this aspect too. Another striking neuronal feature in depressive disorders is an underactivation of the anterior cingulate cortex, a brain region responsible for emotional control and executive functions. Moreover, patients who do not profit from psychotherapy or antidepressants show much weaker activations of this brain structure than patients who respond to the treatment. Accordingly, a second study shall test to which extent MRI-based neurofeedback targeting this region increases therapy success, ameliorates depressive symptoms and improves executive functions, which are often mitigated by depression. In a third study, we want to train two other cognitive functions that are usually affected in depressive disorders: working memory and attention. In addition, we want to investigate how much the positive effect of the MRI-based neurofeedback extends to other, nontrained cognitive tasks, and how long it lasts.
基于MRI的神经反馈使受试者能够控制自己的大脑活动。这项技术相对简单和直接:当受试者躺在MRI扫描仪中时,她的大脑活动被实时测量和可视化。因此,受试者可以通过哪种心理操作、图像或感觉来了解所监测的大脑活动增加或减少,并且在一段时间之后有意地控制她自己的大脑活动。这种技术可以提供广泛的应用。由于它可以促进认知过程和改善情绪控制,它不仅可以用于研究和教学,而且可能还用于治疗精神疾病。在这个项目中,我们想研究基于MRI的神经反馈在多大程度上可以帮助治疗抑郁症。抑郁症的终生发病率约为20%,是精神疾病的主要组成部分。尽管有高度发达的药物和心理疗法,许多患者仍然无法完全用目前可用的治疗方案来治疗,抑郁症通常沿着着几个典型的神经元特征。除此之外,前额叶皮层(一种专门负责执行功能、工作记忆和决策的大脑结构)的激活失衡。虽然左前额叶皮层通常被太弱地激活,但右前额叶皮层通常被太强地激活。因此,在第一项研究中,我们试图减少这种失衡,以了解在此过程中抑郁症状减轻了多少。此外,抑郁症患者经常表现出前额叶皮层的超连通性,也可能表现出前额叶皮层和杏仁核之间的超连通性。由于先前的研究表明,基于MRI的神经反馈不仅可以改变特定大脑区域的活动,还可以影响大脑结构之间的连接,因此我们也想观察这方面。抑郁症中另一个显著的神经元特征是前扣带皮层的激活不足,前扣带皮层是负责情绪控制和执行功能的大脑区域。此外,没有从心理治疗或抗抑郁药物中获益的患者,其大脑结构的激活比对治疗有反应的患者弱得多。因此,第二项研究将测试针对该区域的基于MRI的神经反馈在多大程度上增加了治疗成功率,改善了抑郁症状并改善了执行功能,这些功能通常会被抑郁症减轻。在第三项研究中,我们想训练另外两种通常在抑郁症中受到影响的认知功能:工作记忆和注意力。此外,我们想研究基于MRI的神经反馈的积极影响在多大程度上扩展到其他未经训练的认知任务,以及它持续多久。
项目成果
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Dr. Susanne Bergert, Ph.D.其他文献
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