Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study
Mental disorders are among the top most demanding challenges in world-wide health. A large number of mental disorders exhibit pathological rhythms, which serve as the disorders characteristic biomarkers. These rhythms are the targets for neurostimulation techniques. Open-loop neurostimulation employ...
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Frontiers Media S.A.
2023-07-01
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Series: | Frontiers in Neuroscience |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1183670/full |
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author | Thomas Wahl Joséphine Riedinger Joséphine Riedinger Michel Duprez Axel Hutt |
author_facet | Thomas Wahl Joséphine Riedinger Joséphine Riedinger Michel Duprez Axel Hutt |
author_sort | Thomas Wahl |
collection | DOAJ |
description | Mental disorders are among the top most demanding challenges in world-wide health. A large number of mental disorders exhibit pathological rhythms, which serve as the disorders characteristic biomarkers. These rhythms are the targets for neurostimulation techniques. Open-loop neurostimulation employs stimulation protocols, which are rather independent of the patients health and brain state in the moment of treatment. Most alternative closed-loop stimulation protocols consider real-time brain activity observations but appear as adaptive open-loop protocols, where e.g., pre-defined stimulation sets in if observations fulfil pre-defined criteria. The present theoretical work proposes a fully-adaptive closed-loop neurostimulation setup, that tunes the brain activities power spectral density (PSD) according to a user-defined PSD. The utilized brain model is non-parametric and estimated from the observations via magnitude fitting in a pre-stimulus setup phase. Moreover, the algorithm takes into account possible conduction delays in the feedback connection between observation and stimulation electrode. All involved features are illustrated on pathological α- and γ-rhythms known from psychosis. To this end, we simulate numerically a linear neural population brain model and a non-linear cortico-thalamic feedback loop model recently derived to explain brain activity in psychosis. |
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institution | Directory Open Access Journal |
issn | 1662-453X |
language | English |
last_indexed | 2024-03-13T01:13:48Z |
publishDate | 2023-07-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Neuroscience |
spelling | doaj.art-9e72fe0411994d89acfe3be529c6bdb22023-07-05T14:54:46ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-07-011710.3389/fnins.2023.11836701183670Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational studyThomas Wahl0Joséphine Riedinger1Joséphine Riedinger2Michel Duprez3Axel Hutt4ICube, MLMS, MIMESIS Team, Inria Nancy - Grand Est, University of Strasbourg, Strasbourg, FranceICube, MLMS, MIMESIS Team, Inria Nancy - Grand Est, University of Strasbourg, Strasbourg, FranceINSERM U1114, Neuropsychologie Cognitive et Physiopathologie de la Schizophrénie, Strasbourg, FranceICube, MLMS, MIMESIS Team, Inria Nancy - Grand Est, University of Strasbourg, Strasbourg, FranceICube, MLMS, MIMESIS Team, Inria Nancy - Grand Est, University of Strasbourg, Strasbourg, FranceMental disorders are among the top most demanding challenges in world-wide health. A large number of mental disorders exhibit pathological rhythms, which serve as the disorders characteristic biomarkers. These rhythms are the targets for neurostimulation techniques. Open-loop neurostimulation employs stimulation protocols, which are rather independent of the patients health and brain state in the moment of treatment. Most alternative closed-loop stimulation protocols consider real-time brain activity observations but appear as adaptive open-loop protocols, where e.g., pre-defined stimulation sets in if observations fulfil pre-defined criteria. The present theoretical work proposes a fully-adaptive closed-loop neurostimulation setup, that tunes the brain activities power spectral density (PSD) according to a user-defined PSD. The utilized brain model is non-parametric and estimated from the observations via magnitude fitting in a pre-stimulus setup phase. Moreover, the algorithm takes into account possible conduction delays in the feedback connection between observation and stimulation electrode. All involved features are illustrated on pathological α- and γ-rhythms known from psychosis. To this end, we simulate numerically a linear neural population brain model and a non-linear cortico-thalamic feedback loop model recently derived to explain brain activity in psychosis.https://www.frontiersin.org/articles/10.3389/fnins.2023.1183670/fullneurostimulationclosed-loopcontrolreal-timedelayEEG |
spellingShingle | Thomas Wahl Joséphine Riedinger Joséphine Riedinger Michel Duprez Axel Hutt Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study Frontiers in Neuroscience neurostimulation closed-loop control real-time delay EEG |
title | Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study |
title_full | Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study |
title_fullStr | Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study |
title_full_unstemmed | Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study |
title_short | Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study |
title_sort | delayed closed loop neurostimulation for the treatment of pathological brain rhythms in mental disorders a computational study |
topic | neurostimulation closed-loop control real-time delay EEG |
url | https://www.frontiersin.org/articles/10.3389/fnins.2023.1183670/full |
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