Adaptive Neurostimulation: Innovative Strategies for Stimulation

Dear Colleague,

Over the last two decades, neurostimulation has solicited solid interest among the scientific community. Defined as a treatment involving either one or multiple stimulations (e.g., auditive, mechanical, or electrical), this technique finds several medical applications. Treating epilepsy, psychiatric disorders, and chronic pain are just a few examples.

Even though neurostimulation is mostly associated with transcranial magnetic stimulation (TMS), vagus nerve stimulation (VNS), and deep brain stimulation (DBS), researchers are working on new treatments that exploit other sources to adapt the stimuli in a closed-loop system. For this purpose, biological signals such as electroencephalogram (EEG), pupillogram, electrocardiogram (ECG), and breathing rhythm can be used.

Because most of the neurostimulation techniques are based on fixed stimulation, posing a limitation to personalized treatments, this Special Issue aims to explore innovative solutions based on closed-loop approaches that exploit physiological parameters.

Topics of interest include, but are not limited to, the following:

• Real-time and offline neurostimulation solutions;
• Techniques based on artificial intelligence (AI) algorithms;
• Multi-sensor approaches to optimize the closed-loop strategy;
• Solutions based on physiological data acquired through wearable devices;
• Therapeutic applications.

Dr. Luca Mesin
Guest Editor

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• neurostimulation
• closed-loop stimulation
• adaptive stimulation
• sustained attention
• working memory
• meditation
• relaxation
• stress
• mindfulness
• epilepsy
• psychiatric disorders
• ADHD
• transcranial direct current stimulation
• transcranial alternating current stimulation
• binaural beats
• light pulse stimulation
• EEG
• ECG
• pupillogram
• breath monitoring
• real time processing
• EEG rhythms
• complexity
• entropy
• heart rate variability