Disrupting abnormal neuronal oscillations with adaptive delayed feedback control
Closed-loop neuronal stimulation has a strong therapeutic potential for neurological disorders such as Parkinson’s disease. However, at the moment, standard stimulation protocols rely on continuous open-loop stimulation and the design of adaptive controllers is an active field of research. Delayed f...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2024-03-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/89151 |
| _version_ | 1827297596026126336 |
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| author | Domingos Leite de Castro Miguel Aroso A Pedro Aguiar David B Grayden Paulo Aguiar |
| author_facet | Domingos Leite de Castro Miguel Aroso A Pedro Aguiar David B Grayden Paulo Aguiar |
| author_sort | Domingos Leite de Castro |
| collection | DOAJ |
| description | Closed-loop neuronal stimulation has a strong therapeutic potential for neurological disorders such as Parkinson’s disease. However, at the moment, standard stimulation protocols rely on continuous open-loop stimulation and the design of adaptive controllers is an active field of research. Delayed feedback control (DFC), a popular method used to control chaotic systems, has been proposed as a closed-loop technique for desynchronisation of neuronal populations but, so far, was only tested in computational studies. We implement DFC for the first time in neuronal populations and access its efficacy in disrupting unwanted neuronal oscillations. To analyse in detail the performance of this activity control algorithm, we used specialised in vitro platforms with high spatiotemporal monitoring/stimulating capabilities. We show that the conventional DFC in fact worsens the neuronal population oscillatory behaviour, which was never reported before. Conversely, we present an improved control algorithm, adaptive DFC (aDFC), which monitors the ongoing oscillation periodicity and self-tunes accordingly. aDFC effectively disrupts collective neuronal oscillations restoring a more physiological state. Overall, these results support aDFC as a better candidate for therapeutic closed-loop brain stimulation. |
| first_indexed | 2024-04-24T14:59:01Z |
| format | Article |
| id | doaj.art-a0aceeeb1b344c4c864bccca40944308 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-24T14:59:01Z |
| publishDate | 2024-03-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-a0aceeeb1b344c4c864bccca409443082024-04-02T16:54:45ZengeLife Sciences Publications LtdeLife2050-084X2024-03-011310.7554/eLife.89151Disrupting abnormal neuronal oscillations with adaptive delayed feedback controlDomingos Leite de Castro0https://orcid.org/0000-0002-2539-0311Miguel Aroso1https://orcid.org/0000-0002-3118-0185A Pedro Aguiar2David B Grayden3Paulo Aguiar4https://orcid.org/0000-0003-4164-5713Neuroengineering and Computational Neuroscience Lab, i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal; Faculdade de Engenharia, Universidade do Porto, Porto, PortugalNeuroengineering and Computational Neuroscience Lab, i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, PortugalFaculdade de Engenharia, Universidade do Porto, Porto, PortugalDepartment of Biomedical Engineering, University of Melbourne, Melbourne, AustraliaNeuroengineering and Computational Neuroscience Lab, i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, PortugalClosed-loop neuronal stimulation has a strong therapeutic potential for neurological disorders such as Parkinson’s disease. However, at the moment, standard stimulation protocols rely on continuous open-loop stimulation and the design of adaptive controllers is an active field of research. Delayed feedback control (DFC), a popular method used to control chaotic systems, has been proposed as a closed-loop technique for desynchronisation of neuronal populations but, so far, was only tested in computational studies. We implement DFC for the first time in neuronal populations and access its efficacy in disrupting unwanted neuronal oscillations. To analyse in detail the performance of this activity control algorithm, we used specialised in vitro platforms with high spatiotemporal monitoring/stimulating capabilities. We show that the conventional DFC in fact worsens the neuronal population oscillatory behaviour, which was never reported before. Conversely, we present an improved control algorithm, adaptive DFC (aDFC), which monitors the ongoing oscillation periodicity and self-tunes accordingly. aDFC effectively disrupts collective neuronal oscillations restoring a more physiological state. Overall, these results support aDFC as a better candidate for therapeutic closed-loop brain stimulation.https://elifesciences.org/articles/89151neuromodulationclosed-loop controlneuronal oscillationsdelayed feedback controlneurostimulationmicroelectrode arrays |
| spellingShingle | Domingos Leite de Castro Miguel Aroso A Pedro Aguiar David B Grayden Paulo Aguiar Disrupting abnormal neuronal oscillations with adaptive delayed feedback control eLife neuromodulation closed-loop control neuronal oscillations delayed feedback control neurostimulation microelectrode arrays |
| title | Disrupting abnormal neuronal oscillations with adaptive delayed feedback control |
| title_full | Disrupting abnormal neuronal oscillations with adaptive delayed feedback control |
| title_fullStr | Disrupting abnormal neuronal oscillations with adaptive delayed feedback control |
| title_full_unstemmed | Disrupting abnormal neuronal oscillations with adaptive delayed feedback control |
| title_short | Disrupting abnormal neuronal oscillations with adaptive delayed feedback control |
| title_sort | disrupting abnormal neuronal oscillations with adaptive delayed feedback control |
| topic | neuromodulation closed-loop control neuronal oscillations delayed feedback control neurostimulation microelectrode arrays |
| url | https://elifesciences.org/articles/89151 |
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