Disrupting abnormal neuronal oscillations with adaptive delayed feedback control

• Tipo: Artigo em Revista Científica Internacional
• Data: 2024

Autores

de Castro, DL (Autor) Outra; Aroso, M (Autor) Outra; Aguiar, AP (Autor) FEUP; Grayden, DB (Autor) Outra; Paulo Aguiar (Autor) FMUP

Revista

Título: eLife

Vol. 13

ISSN: 2050-084X

Editora: eLife Sciences Publications

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-010-AXD

DOI: 10.7554/elife.89151

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 17