Ke Peng

Area

Neuroimaging
Functional Near Infrared Spectroscopy
Electroencephalography
Functional Magnetic Resonance Imaging
Virtual reality
Machine learning in medical imaging analysis
Neurological disorders

Expertise

Multimodal brain imaging techniques
Brain data modeling
Big data management
Signal processing

Research description

Dr. Peng’s research interests center around the development of medical devices and analytical methods for multimodal brain imaging techniques (functional near infrared spectroscopy-functional magnetic resonance imaging-electroencephalography) to study brain functions in healthy and pathological states. His recent work also includes the development of a combined brain imaging – virtual reality system to explore the interaction of human brain with virtual environments.

Dr. Ke Peng received his master's degree in computer engineering from Ecole Polytechnique, University of Montreal, in 2012, followed by a PhD in biomedical engineering from the same institution in 2016. From 2016 to 2019, he worked as a postdoctoral fellowship at Harvard Medical School, where he later advanced to the position of instructor. During this period, Dr. Peng also served as a research associate at Boston Children's Hospital (Anesthesiology) and Massachusetts General Hospital (Radiology). In 2019, Dr. Peng returned to Canada and joined the Research Center of the University of Montreal Hospital Center as a postdoctoral researcher. He was appointed as an assistant professor in biomedical engineering within the department of electrical and computer engineering at the University of Manitoba in July 2023. Dr. Peng has published widely in the field of non-invasive multimodal brain imaging, particularly in the study of neurological disorders such as epilepsy, stroke and chronic pain. Dr. Peng was the recipient of the 2018 Anesthesia Distinguished Trailblazer Award from Boston Children's Hospital and has received research support from major funding agencies in both the US and Canada, including the National Institutes of Health and the Canadian Institutes of Health Research. He has established enduring collaborations with researchers at institutions such as the University of Montreal, Boston University, Massachusetts General Hospital, and Harvard Medical School.

Dr. Peng is currently seeking graduate students and postdoctoral research fellows who are interested in neuroscience research, brain imaging techniques, virtual reality, and artificial intelligence in medical applications.

1. Keerthana Deepti Karunakaran, Barry Kussman, Ke Peng, Lino Becerra, Robert Labadie, Rachel Bernier, Delany Berry, Stephen Green, David Zurakowski, Mark E. Alexander, and David Borsook. (2022). Brainbased measures of nociception during general anesthesia with remifentanil: A randomized controlled trial. PLoS Medicine. 19(4): 1-30.

2. Ali Kassab, Dènahin Hinnoutondji Toffa, Manon Robert, Frédéric Lesage, Ke Peng*, and Dang Khoa Nguyen*. (2021). Hemodynamic changes associated with common EEG patterns in critically ill patients: pilot results from continuous EEG-fNIRS. NeuroImage:Clinical. 32: 102880.

3. Parikshat Sirpal, Rafat Damseh, Ke Peng, Dang Khoa Nguyen, and Frédéric Lesage. (2021). Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals. Neuroinformatics. 20(3).

4. Ke Peng, Keerthana Deepti Karunakaran, Arielle Lee, Andrea Gomez-Morad, Robert Labadie, Arielle Mizrahi-Arnaud, Delany Berry, Barry Kussman, David Zurakowski, Lyle Micheli, Lino Becerra, and David Borsook. (2021). Rhythmic change of cortical hemodynamic signals associated with ongoing nociception in awake and anesthetized individuals: an exploratory functional near infrared spectroscopy study. Anesthesiology. 135(5): 877-892.

5. Keerthana Deepti Karunakarana, Ke Peng, Delany Berry, Stephen Green, Robert Labadie, Barry Kussman, and DavidBorsook. (2021). NIRS measures in pain and analgesia: fundamentals, features, and function. Neuroscience & Biobehavioral Reviews. 120: 335-353.

6. Hanieh Mohammadi , Thomas Vincent, Ke Peng, Anil Nigam, Mathieu Gayda, Sarah Fraser, Yves Joanette, Frédéric Lesage, and Louis Bherer. (2021). Coronary artery disease and its impact on the pulsatile brain: A functional NIRS study. Human Brain Mapping. 42(12): 3760-3776.

7. Roberto Rosas-Romero, Edgar Guevara, Ke Peng, Dang Khoa Nguyen, Frédéric Lesage, Philippe Pouliot, and Wassim-Enrique Lima-Saad. (2019). Prediction of epileptic seizures with convolutional neural networks and functional near infrared spectroscopy signals. Computers in Biology and Medicine. 111: 103355.

8. Ke Peng, Meryem A Yücel, Sarah C Steele, Edward A Bittner, Christopher M Aasted, Mark A Hoeft, Arielle Lee, Edward E George, David A Boas, Lino Becerra, and David Borsook. (2018). Morphine attenuates fNIRS signals associated with painful stimuli in the medial frontopolar cortex (medial BA10). Frontiers in Human Neuroscience. 12(394): 1-17.

9. Ke Peng, Meryem A Yücel, Christopher M Aasted, Sarah C Steele, David A Boas, David Borsook, and Lino Becerra. (2018). Using pre-recorded hemodynamic response functions in detecting prefrontal pain response: a functional near infrared spectroscopy study. NeuroPhotonics. 5(1): 011018.

10. Ke Peng, Sarah C. Steele, Lino Becerra, and David Borsook. (2018). Brodmann Area 10: Integrating, Collating and High-Level Processing of Nociception and Pain. Progress in Neurobiology. 161: 1-22.

11. Ke Peng, Dang Khoa Nguyen, Phetsamone Vannasing, Julie Tremblay, Frédéric Lesage, and Philippe Pouliot. (2016). Using patient-specific hemodynamic response function in epileptic spike analysis of human epilepsy: a study based on EEG–fNIRS. NeuroImage. 126: 239-255.

12. Ke Peng, Philippe Pouliot, Frédéric Lesage, and Dang Khoa Nguyen. (2016). Multichannel continuous electroencephalography-functional near-infrared spectroscopy recording of focal seizures and interictal epileptiform discharges in human epilepsy: a review. Neurophotonics. 3(3): 031402.

13. Ke Peng, Dang Khoa Nguyen, Tania Tayah, Phetsamone Vannasing, Julie Tremblay, Mohamad Sawan, Maryse Lassonde, Frédéric Lesage, and Philippe Pouliot, fNIRS-EEG study of focal interictal epileptiform discharges. Epilepsy Research, 108(3): 491-505.