Jean Francois Daneault, Ph.D.
Dr. Daneault obtained his B.Sc. and M.Sc. in Kinesiology at the University of Quebec in Montreal. He then completed a Ph.D. in Neuroscience at McGill University and a postdoctoral fellowship in Physical Medicine & Rehabilitation at Harvard Medical School.
Research Overview
Advancing Movement Science Through Innovation
His research focuses on better understanding motor behavior in health and disease using technology in order to improve/optimize movements of individuals with chronic diseases, such as Parkinson’s disease, Huntington’s disease, dystonia, cerebral palsy, and stroke, through physical therapy and exercise.
His laboratory tools include motion capture, wearable sensors, electromyography, brain stimulation, and neuroimaging. The long-term goal is to develop tools based on quantitative evidence to personalize interventions for individuals with neurological disorders.
Their work focuses on combining approaches from biomechanics, neuroscience, engineering, and computer science to develop and test methods to improve the delivery of care to individuals with chronic medical conditions.
Research Team
The people behind the science
Jean-Francois Daneault
Associate Professor and Director of the Motor Behavior Laboratory
jf.daneault@rutgers.edu
Felix Offei
Doctoral student
fo99@shp.rutgers.edu
Funding & Grants
Supported Research Programs
Federal, foundation, and institutional funding advancing predictive modeling of treatment responses
CIHR
$
The impact of levodopa-induced dyskinesia on the physical and social participation of patients with advanced Parkinson’s disease and their spousal caregiver: a digital phenotyping study
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Brief Overview of Aims: Examining the impact of dyskinesia on people with Parkinson’s disease and their spouse using wearable devices and machine learning
Funding Period: 2024-2029
- 2024-2029
NIH
$
Using mobile data for the characterization and differential diagnosis of different movement disorders
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Brief Overview of Aims: Using mobile data for the characterization and differential diagnosis of different movement disorders
Funding Period: 2018-2023
- 2018-2023
Rutgers
$
Real-time physiological biomarkers of post-COVID fatigue
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Brief Overview of Aims: Developing methods to evaluate biomarkers of post-covid fatigue using wearable sensors
Funding Period: 2022-2023
- 2022-2023
Rutgers-SHP
$
Using serious games to improve cognitive function, quality of life and mobility in patients with Parkinson’s disease – a pilot study
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Brief Overview of Aims: Examining the impact of serious games in Parkinson’s disease
Funding Period: 2020-2023
- 2020-2023
NIH
$
Patient-Centered Serious Games for Remote Cognitive Training in Older Adults with Mild Cognitive Impairment
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Brief Overview of Aims: Examining the impact of serious games in people with mild cognitive impairments
Funding Period: 2021-2023
- 2021-2023
Publications & Impact
Selected Research Publications
2016
Technology in Parkinson disease: Challenges and Opportunities
Espay AJ, Bonato P, Nahab F, Maetzler W, Dean JM, Klucken J, Eskofier BM, Merola A, Horak F, Lang AE, Reilmann R, Giuffrida J, Nieuwboer A, Horne M, Little MA, Litvan I, Simuni T, Dorsey ER, Burak MA, Kubota K, Kamondi A, Godinho C, Daneault JF, Mitsi G, Krinke L, Hausdorff JM, Bloem BR, Papapetropoulos S, MDS Task Force on Technology
Movement Disorders; 31(9):1272-1282, 2016
2016
The Effect of Physical Activity in Parkinson’s Disease: a Review
Lauzé M, Daneault JF, Duval C.
Journal of Parkinson’s Disease; 6(4):685-698, 2016
2016
Recent Machine Learning Advancements in Sensor-Based Mobility Analysis: Deep Learning for Parkinson’s Disease Assessment
Eskofier BM, Lee SI, Daneault JF, Golabchi FN, Ferreira-Carvalho G, Vergara-Diaz G, Sapienza S, Costante G, Kautz T, Kluchen J, Bonato P.
Proceedings of 38th annual IEEE Engineering in Medicine and Biology Society; 2016
2012
Using a Smartphone as a Standalone Platform for Detection and Monitoring of Pathological Tremors
Daneault JF, Carignan B, Codère CE, Sadikot AF, Duval C.
Frontiers in Human Neuroscience; 6:357, 2012
2020
mHealth and Wearable Technology should Replace Motor Diaries to Track Motor Fluctuations in Parkinson’s Disease
Erb M, Karlin D, Ho B, Thomas K, Parisi F, Vergara-Diaz G, Daneault JF, Wacnik P, Zhang H, Kangarloo T, Demanuele C, Brooks C, Detheridge C, Shaafi Kabiri N, Bhangu J, Bonato P.
npj Digital Medicine 3(6), 2020
Achievements
Awards & Honors
2020
Featured Article
Transactions on Neural Systems & Rehabilitation Engineering
2019
Excellence in Research Award
New Jersey Health Foundation
2019
Featured Article
Journal of Biomedical and Health Informatics
2014-2017
Postdoctoral fellowship
Canadian Institutes of Health Research
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