John Thomas

John Thomas

Neuroengineering Scientist at Duke University:Biomedical Signal Processing | Deep Learning | Epilepsy | Sleep | Brain-Computer Interfaces

Healthy Brain

This theme focuses on understanding the functioning of a healthy brain, exploring sleep patterns, brain-computer interfaces, and cognitive processes to gain insights into human cognition and behavior.

Sleep

Investigating sleep patterns and their effects on brain health and neurological conditions, particularly in relation to epilepsy.

  • S. Hannan, J. Thomas, K. Jaber, et al. (2024). The differing effects of sleep on ictal and interictal network dynamics in drug-resistant epilepsy. Annals of Neurology, 95(1), 42–56.

  • A. Ho, S. Hannan, J. Thomas, et al. (2023). Rapid eye movement sleep affects interictal epileptic activity differently in mesiotemporal and neocortical areas. Epilepsia, 64(11), 3036–3048.

  • V. Latreille, T. Avigdor, J. Thomas, et al. (2023). Scalp and hippocampal sleep correlates of memory function in drug-resistant temporal lobe epilepsy. Sleep, zsad228.

Brain-Computer Interfaces (BCI)

Developing and optimizing interfaces for direct communication between the brain and external devices, improving neuroprosthetics, communication aids, and biometric systems.

  • R. Yuvaraj, P. Thangavel, J. Thomas, J. Fogarty, and F. Ali (2023). Comprehensive analysis of feature extraction methods for emotion recognition from multichannel EEG recordings. Sensors, 23(2), 915. https://doi.org/10.3390/s23020915

  • D. Jeswani, P. Kumar Govarthan, A. Selvaraj, C. Bobby Thomas, J. Thomas, and J. F. Agastinose Ronickom (2023). A feasibility study on using EEG for biometric trait authentication system. Current Directions in Biomedical Engineering, 9, 690–693.

  • J. Jeswani, …, J. Thomas, et al. (2023). Low valence low arousal stimuli: An effective candidate for EEG-based biometrics authentication system. Caring is Sharing–Exploiting the Value in Data for Health and Innovation, IOS Press, 257–261.

  • J. Thomas, T. Maszczyk, N. Sinha, T. Kluge, and J. Dauwels (2017). Deep learning-based classification for brain-computer interfaces. In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 234–239.

Memory/Cognition

Exploring the neural mechanisms underlying memory and cognitive functions to better understand learning and information retention.

  • V. Latreille, J. a. Corbin-Lapointe, J. Thomas, et al. (2024). Oscillatory and non-oscillatory sleep electroencephalography biomarkers of the epileptic network. Epilepsia, in press.