Originally published at: Treating Brain Disease with Brain-Machine Interactive Neuromodulation and NVIDIA Jetson | NVIDIA Technical Blog
Neuromodulation is a technique that enhances or restores brain function by directly intervening in neural activity. It is commonly used to treat conditions like Parkinson’s disease, epilepsy, and depression. The shift from open-loop to closed-loop neuromodulation strategies enables on-demand modulation, improving therapeutic effects while reducing side effects. This could lead to significant advancements in precision…
Really interesting post.
You have mentioned that “this tool senses neural activity, processes data using machine learning algorithms and neural networks, and delivers real-time electrical stimulation.” If that is the case, the neuromodulation effect may be primarily localized to the cortical region?
However, there is evidence suggesting that neuromodulation can also influence subcortical areas. For instance, invasive techniques like deep brain stimulation (DBS) can affect both cortical and subcortical structures, leading to changes in functional connectivity that extend beyond the immediate target area. By during cortical register or even with TMS the effect is limited to the cortex.
Clinical studies have as a challenger to made effect in a subcortical and deeper levels eve thought when this interaction is initiated in the surface of the cortex. Your aim of shifting from open-loop to closed-loop neuromodulation strategies indeed enhances therapeutic effects while minimizing side effects. This transition could be effective even if the primary modulation occurs in cortical regions, as downstream impacts can propagate to functionally connected circuits, including subcortical areas. That is the theory in the clinical approuch the really is far away. In neurophysiology, many disorders implicate interactions across cortical, subcortical, and peripheral regions. Therefore, understanding how neuromodulation might influence these areas is crucial. But it is not clear how patient cortical pathways or connectome get affected. It is in a cortical level or also subcortical!!! Considering the cycles of beta or gamma neural oscillations related to brain diseases—approximately 50 ms for beta and 15 ms for gamma—phase modulation could potentially be applicable at subcortical levels as well. This modulation may facilitate the engagement of broader neural networks, thereby enhancing therapeutic outcomes across multiple brain regions. Also using AI and increase GPU support the most powefull system of EEG,MGE data analyse.
Thus, while the primary action may be cortical, the implications of neuromodulation can indeed extend into sub-cortical territories through interconnected pathways. Can you explain if you are working or have experience with this tools in neuromodulation at sub cortical levels and or integration?
Thank you
Great Work