Dr. Keshmiri studies the neurophysiological signal variability. He is lead investigator of the research (HSR-2023-023) on a unifying marker for psychiatric conditions based on information theory and the human subjects' resting-state functional magnetic resonance imaging.
Selected Publications
[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] Invitto, S. and Keshmiri, S., 2023. Chemosensory Neuro-olfactometry, Pheromones Perceptions, and EEG Signal Processing Methods. In Psychophysiology Methods, p. 109-114. New York, NY: Springer US.
[3] Keshmiri, S., 2021. Conditional entropy: a potential digital marker for stress. Entropy, 23(3), p.286.
[4] Invitto, S., Keshmiri, S., Mazzatenta, A., Grasso, A., Romano, D., Bona, F., Shiomi, M., Sumioka, H. and Ishiguro, H., 2021. Perception of social odor and gender-related differences investigated through the use of transfer entropy and embodied medium. Frontiers in Systems Neuroscience, 15, p.650528.
[5] Keshmiri, S., 2020. Entropy and the brain: An overview. Entropy, 22(9), p.917.
[6] 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.
[7] Keshmiri, S., 2020. Stress changes the resting-state cortical flow of information from distributed to frontally directed patterns. Biology, 9(8), p.236.
[8] Keshmiri, S., Sumioka, H., Okubo, M. and Ishiguro, H., 2019. An information-theoretic approach to quantitative analysis of the correspondence between skin blood flow and functional near-infrared spectroscopy measurement in prefrontal cortex activity. Frontiers in neuroscience, 13, p.79.
[9] Keshmiri, S., Sumioka, H., Yamazaki, R. and Ishiguro, H., 2019. Decoding the perceived difficulty of communicated contents by older people: Toward conversational robot-assistive elderly care. IEEE Robotics and Automation Letters, 4(4), pp.3263-3269.
[10] Keshmiri, S., Sumioka, H., Yamazaki, R. and Ishiguro, H., 2018. Differential entropy preserves variational information of near-infrared spectroscopy time series associated with working memory. Frontiers in Neuroinformatics, 12, p.33.
[11] Keshmiri, S., Sumioka, H., Nakanishi, J. and Ishiguro, H., 2017, Emotional state estimation using a modified gradient-based neural architecture with weighted estimates. In IEEE 2017 International Joint Conference on Neural Networks (IJCNN) p. 4371-4378.
Patents
[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) (Japan Patent Office, Patent No. 2019-052913).
[3] Measuring human subjects' hypnosis suggestibility using electroencephalogram (EEG) recordings (Japan Patent Office, Patent No. 2018-180946).
Recent Awards and Funding
[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.
