When neuromodulation met control theory

Roberto Guidotti*, Alessio Basti, Giulia Pieramico, Antea D’Andrea, Saeed Makkinayeri, Mauro Pettorruso, Timo Roine, Ulf Ziemann, Risto J. Ilmoniemi, Gian Luca Romani, Vittorio Pizzella, Laura Marzetti

*Corresponding author for this work

Research output: Contribution to journalReview Articlepeer-review

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Abstract

The brain is a highly complex physical system made of assemblies of neurons that work together to accomplish elaborate tasks such as motor control, memory and perception. How these parts work together has been studied for decades by neuroscientists using neuroimaging, psychological manipulations, and neurostimulation. Neurostimulation has gained particular interest, given the possibility to perturb the brain and elicit a specific response. This response depends on different parameters such as the intensity, the location and the timing of the stimulation. However, most of the studies performed so far used previously established protocols without considering the ongoing brain activity and, thus, without adaptively targeting the stimulation. In control theory, this approach is called open-loop control, and it is always paired with a different form of control called closed-loop, in which the current activity of the brain is used to establish the next stimulation. Recently, neuroscientists are beginning to shift from classical fixed neuromodulation studies to closed-loop experiments. This new approach allows the control of brain activity based on responses to stimulation and thus to personalize individual treatment in clinical conditions. Here, we review this new approach by introducing control theory and focusing on how these aspects are applied in brain studies. We also present the different stimulation techniques and the control approaches used to steer the brain. Finally, we explore how the closed-loop framework will revolutionize the way the human brain can be studied, including a discussion on open questions and an outlook on future advances.

Original languageEnglish
Article number011001
Pages (from-to)1-24
Number of pages24
Journal Journal of Neural Engineering
Volume22
Issue number1
DOIs
Publication statusPublished - Feb 2025
MoE publication typeA2 Review article, Literature review, Systematic review

Keywords

  • closed loop neuromodulation
  • control theory
  • DBS
  • neurofeedback
  • neurostimulation
  • TMS

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  • ConnectToBrain: ConnectToBrain

    Ilmoniemi, R. (Principal investigator)

    01/08/201931/08/2026

    Project: EU: ERC grants

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