精神病学中基于个性化回路的闭环脑干预:使用症状激发提取脑回路活动的脑电图标记。

IF 3.4 3区 医学 Q2 NEUROSCIENCES Frontiers in Neural Circuits Pub Date : 2023-08-21 eCollection Date: 2023-01-01 DOI:10.3389/fncir.2023.1208930
Brigitte Zrenner, Christoph Zrenner, Nicholas Balderston, Daniel M Blumberger, Stefan Kloiber, Judith M Laposa, Reza Tadayonnejad, Alisson Paulino Trevizol, Gwyneth Zai, Jamie D Feusner
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摘要

症状激发是精神病学研究和治疗中一个公认的组成部分。据推测,参与大脑病理症状表达的脑回路的特异性激活使相关神经基质可作为治疗干预的靶点。例如,在强迫症(OCD)的治疗中,症状激发是心理治疗的重要组成部分,也在经颅磁刺激(TMS)治疗性脑刺激之前进行。在这里,我们讨论了症状激发的潜力,以分离反映相关脑网络波动活动的神经生理学生物标志物,目的是随后使用这些标志物作为靶点来指导治疗。我们提出了一个基于精神症状状态之间快速切换的通用实验框架。这使得神经生理学测量能够从两种状态期间的脑活动的EEG和/或TMS诱发的EEG测量导出。通过从激发状态期间记录的数据中减去基线状态期间所记录的数据,所得到的对比度将理想地隔离在症状表达期间差异激活的特定神经回路。类似的方法使得能够在脑机接口(BCI)中从EEG数据设计有效的大脑活动分类器。为了获得可靠的对比数据,在连续记录过程中需要多次实现精神状态转换,以便大脑活动的缓慢变化对这两种情况产生同等影响。这在可以有意控制的条件下很容易实现,例如运动图像、注意力或记忆保持。关于精神症状,通常可以相对容易地有效地引起增加,然而,很难可靠而迅速地恢复到基线状态。在这里,我们回顾了从激发状态恢复到基线状态的不同方法,以及这些方法如何应用于不同精神疾病中出现的不同症状。
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Toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract EEG-markers of brain circuit activity.

Symptom provocation is a well-established component of psychiatric research and therapy. It is hypothesized that specific activation of those brain circuits involved in the symptomatic expression of a brain pathology makes the relevant neural substrate accessible as a target for therapeutic interventions. For example, in the treatment of obsessive-compulsive disorder (OCD), symptom provocation is an important part of psychotherapy and is also performed prior to therapeutic brain stimulation with transcranial magnetic stimulation (TMS). Here, we discuss the potential of symptom provocation to isolate neurophysiological biomarkers reflecting the fluctuating activity of relevant brain networks with the goal of subsequently using these markers as targets to guide therapy. We put forward a general experimental framework based on the rapid switching between psychiatric symptom states. This enable neurophysiological measures to be derived from EEG and/or TMS-evoked EEG measures of brain activity during both states. By subtracting the data recorded during the baseline state from that recorded during the provoked state, the resulting contrast would ideally isolate the specific neural circuits differentially activated during the expression of symptoms. A similar approach enables the design of effective classifiers of brain activity from EEG data in Brain-Computer Interfaces (BCI). To obtain reliable contrast data, psychiatric state switching needs to be achieved multiple times during a continuous recording so that slow changes of brain activity affect both conditions equally. This is achieved easily for conditions that can be controlled intentionally, such as motor imagery, attention, or memory retention. With regard to psychiatric symptoms, an increase can often be provoked effectively relatively easily, however, it can be difficult to reliably and rapidly return to a baseline state. Here, we review different approaches to return from a provoked state to a baseline state and how these may be applied to different symptoms occurring in different psychiatric disorders.

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来源期刊
CiteScore
6.00
自引率
5.70%
发文量
135
审稿时长
4-8 weeks
期刊介绍: Frontiers in Neural Circuits publishes rigorously peer-reviewed research on the emergent properties of neural circuits - the elementary modules of the brain. Specialty Chief Editors Takao K. Hensch and Edward Ruthazer at Harvard University and McGill University respectively, are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Frontiers in Neural Circuits launched in 2011 with great success and remains a "central watering hole" for research in neural circuits, serving the community worldwide to share data, ideas and inspiration. Articles revealing the anatomy, physiology, development or function of any neural circuitry in any species (from sponges to humans) are welcome. Our common thread seeks the computational strategies used by different circuits to link their structure with function (perceptual, motor, or internal), the general rules by which they operate, and how their particular designs lead to the emergence of complex properties and behaviors. Submissions focused on synaptic, cellular and connectivity principles in neural microcircuits using multidisciplinary approaches, especially newer molecular, developmental and genetic tools, are encouraged. Studies with an evolutionary perspective to better understand how circuit design and capabilities evolved to produce progressively more complex properties and behaviors are especially welcome. The journal is further interested in research revealing how plasticity shapes the structural and functional architecture of neural circuits.
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