DOI: https://doi.org/10.29363/nanoge.cybioel.2024.041
Publication date: 28th June 2024
To better understand the brain and better treat brain disorders, it needs to be neuromodulated targeting multiple areas of the interacting brain networks using ‘brain-like’ waveforms [1]. Moreover, these waveforms need to be applied in a smart way, based on feedback and in a closed-loop fashion. This requires sensing technology, not only for reading the electro-chemical signalling of the brain itself but also of other physiological parameters. Additionally, this feedback needs to be self-learning so it can learn to recognize the (personal) brain activity and connectivity characteristics that characterize a symptom and the intensity of a symptom. It then selects an optimal stimulation design to normalize the symptom by increasing or decreasing connectivity to change the network structure.
This talk will address how these ‘NeuroDots’ can do this, what they will look like, and which future developments are needed to make them a reality. In particular, we will look into the network organization of the brain, the NeuroDots technical requirements, implant configurations, and new modalities to interact with our electro-chemical mainframe to truly feel better.
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