"These algorithms spot mood changes before you do, and could someday tell a stimulator to zap your brain to treat disorders"
https://spectrum.ieee.org/algorithms-play-doctor-in-brain-stimulation
IEEE Spectrum, 2019-05-17
Featured in DARPA tweet (SUBNETS program): https://twitter.com/DARPA/status/1130466005036281858
"A closed loop system... employs algorithms to constantly monitor the patient’s brain activity, and order stimulation the moment the patient needs it, with parameters specific to the patient’s neural activity."
https://link.springer.com/article/10.1134/S0022093023050113
References
Bhattacharya A, Mrudula K, Sreepada SS, et al. An Overview of Noninvasive Brain Stimulation: Basic Principles and Clinical Applications. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 2022;49(4):479-492. doi:10.1017/cjn.2021.158
https://pmc.ncbi.nlm.nih.gov/articles/PMC5717031/
It is noted that is cites "common neurofeedback paradigms", such as:
🔹 Neurofeedback on "slow cortical potentials" (SCP’s), which entrains very slow oscillations in a range of 0.3–1.5 Hz,
🔹 Infra-low neurofeedback (ILN), which entrains even slower brain oscillations, ranging from 0.001 to 1.5 Hz.