Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study

Frontiers in Neuroscience

Neuroscience

Axel Hutt¹  Thomas Wahl¹  Michel Duprez¹  Joséphine Riedinger² 

[1] ICube, MLMS, MIMESIS Team, Inria Nancy - Grand Est, University of Strasbourg, Strasbourg, France;ICube, MLMS, MIMESIS Team, Inria Nancy - Grand Est, University of Strasbourg, Strasbourg, France;INSERM U1114, Neuropsychologie Cognitive et Physiopathologie de la Schizophrénie, Strasbourg, France;

关键词: neurostimulation;    closed-loop;    control;    real-time;    delay;    EEG;   

DOI  :  10.3389/fnins.2023.1183670

 received in 2023-03-10, accepted in 2023-06-13,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Wahl, Riedinger, Duprez and Hutt.