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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Bibliographic Details
Published in:Frontiers in neuroscience 2023-07, Vol.17, p.1183670-1183670
Main Authors: Wahl, Thomas, Riedinger, Joséphine, Duprez, Michel, Hutt, Axel
Format: Article
Language:English
Subjects:
closed-loop
Cognitive science
Computational neuroscience
control
Controllers
delay
EEG
Feedback
Human health and pathology
Life Sciences
Mathematics
Mental disorders
Methods
Neuroscience
neurostimulation
Optimization and Control
Parkinson's disease
Pathology
Patients
Psychiatrics and mental health
Psychosis
real-time
Rhythm
Thalamus
Transcranial magnetic stimulation
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Summary: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.
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2023.1183670