Dr. Keshmiri studies the neurophysiological signal variability. He is lead investigator of the research on a unifying biomarker for psychiatric conditions based on information theory and the human subjects' resting-state functional magnetic resonance imaging (HSR-2023-023).
[1] Keshmiri, S., Tomonaga, S., Mizutani, H. and Doya, K., 2024. Respiratory modulation of the heart rate: A potential biomarker of cardiorespiratory function in human. Computers in Biology and Medicine, 173, p.108335.
[2] Keshmiri, S., 2021. Conditional entropy: a potential digital marker for stress. Entropy, 23(3), p.286.
[3] Keshmiri, S., 2020. Entropy and the brain: An overview. Entropy, 22(9), p.917.
[4] Keshmiri, S., Alimardani, M., Shiomi, M., Sumioka, H., Ishiguro, H. and Hiraki, K., 2020. Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands. PloS one, 15(4), p.e0230853.
[5] Keshmiri, S., 2020. Stress changes the resting-state cortical flow of information from distributed to frontally directed patterns. Biology, 9(8), p.236.
[1] Robust biomarker for psychiatric diseases and conditions using resting-state functional magnetic resonance imaging (rs-fMRI) recordings (Japan Patent Office, Patent No. 2024-137064).
[2] Quantifying older people cognitive load during conversation using functional infrared spectroscopy (fNIRS) recordings (Japan Patent Office, Patent No. 2019-052913).
[3] Measuring human subjects' hypnotic suggestibility using electroencephalogram (EEG) recordings (Japan Patent Office, Patent No. 2018-180946).
[1] Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research (C, 22K11465), 2022-2025.
[2] Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research (Early-Career Scientists, 19K20746), 2019-2021.
[3] Advanced Telecommunications Research Institute International (ATR) Research and Development Award for Excellent Research, 2019.
[4] Advanced Telecommunications Research Institute International (ATR) Research and Development Award for Excellent Research, 2017.
