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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 interven...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475600/ https://www.ncbi.nlm.nih.gov/pubmed/37671039 http://dx.doi.org/10.3389/fncir.2023.1208930 |
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author | Zrenner, Brigitte Zrenner, Christoph Balderston, Nicholas Blumberger, Daniel M. Kloiber, Stefan Laposa, Judith M. Tadayonnejad, Reza Trevizol, Alisson Paulino Zai, Gwyneth Feusner, Jamie D. |
author_facet | Zrenner, Brigitte Zrenner, Christoph Balderston, Nicholas Blumberger, Daniel M. Kloiber, Stefan Laposa, Judith M. Tadayonnejad, Reza Trevizol, Alisson Paulino Zai, Gwyneth Feusner, Jamie D. |
author_sort | Zrenner, Brigitte |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10475600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104756002023-09-05 Toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract EEG-markers of brain circuit activity Zrenner, Brigitte Zrenner, Christoph Balderston, Nicholas Blumberger, Daniel M. Kloiber, Stefan Laposa, Judith M. Tadayonnejad, Reza Trevizol, Alisson Paulino Zai, Gwyneth Feusner, Jamie D. Front Neural Circuits Neural Circuits 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. Frontiers Media S.A. 2023-08-21 /pmc/articles/PMC10475600/ /pubmed/37671039 http://dx.doi.org/10.3389/fncir.2023.1208930 Text en Copyright © 2023 Zrenner, Zrenner, Balderston, Blumberger, Kloiber, Laposa, Tadayonnejad, Trevizol, Zai and Feusner. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neural Circuits Zrenner, Brigitte Zrenner, Christoph Balderston, Nicholas Blumberger, Daniel M. Kloiber, Stefan Laposa, Judith M. Tadayonnejad, Reza Trevizol, Alisson Paulino Zai, Gwyneth Feusner, Jamie D. Toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract EEG-markers of brain circuit activity |
title | Toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract EEG-markers of brain circuit activity |
title_full | Toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract EEG-markers of brain circuit activity |
title_fullStr | Toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract EEG-markers of brain circuit activity |
title_full_unstemmed | Toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract EEG-markers of brain circuit activity |
title_short | Toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract EEG-markers of brain circuit activity |
title_sort | toward personalized circuit-based closed-loop brain-interventions in psychiatry: using symptom provocation to extract eeg-markers of brain circuit activity |
topic | Neural Circuits |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475600/ https://www.ncbi.nlm.nih.gov/pubmed/37671039 http://dx.doi.org/10.3389/fncir.2023.1208930 |
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