Articles tagged "Parkinson’s"

2022 International Congress
WATCH-PD: Baseline Phenotype and Longitudinal Digital Assessments in Early PD
T. Kangarloo, E. Dorsey, P. Auinger, D. Volfson, J. Padmanabhan, B. Tracey, RS. Latzman, P. Artoni, Y. Gong, A. Best, J. Severson, D. Anderson, M. Kostrzebski, A. Stevenson, P. Wilmot, Y. Pohlson, J. Cosman, K. Praneeth Kilambi, J. Edgerton, J. Adams (Cambridge, USA)
Objective: To provide a longitudinal profile of early Parkinson’s (PD) disease progression using clinical and digital measures, and to evaluate the extent to which digital…
2022 International Congress
Treatment Selection in Multi-Arm Multi-Stage Clinical Trials in Parkinson Disease: The Search for the Ideal Neuroprotective Drug
C. Gonzalez-Robles, D. Byrom, R. Chapman, D. Dexter, S. Duty, R. Ellis-Doyle, E. Jabbari, G. Mills, H. Mortiboys, J. Rudiger, E. Sammler, P. Scurfield, S. Stott, G. Tofaris, L. Wei, A. Wong, ML. Zeissler, C. Carroll, T. Foltynie, O. Bandmann, A. Schapira (London, United Kingdom)
Objective: The Edmond J Safra Accelerating Clinical Trials in Parkinson disease (PD) initiative (EJS ACT-PD) aims to accelerate the identification of disease modifying treatments for…
2022 International Congress
Head injury prior to Parkinson’s disease predicts faster self-reported motor and cognitive decline
E. Brown, M. San Luciano, S. Goldman, M. Korell, B. Contreras, C. Tanner (San Francisco, USA)
Objective: To compare rates of self-reported cognitive and motor decline in people with Parkinson’s Disease (PD) with and without a history of head injury (HI).…
2022 International Congress
Patient Advisory Boards: A Model for Patient Engagement in Parkinson’s Disease Comparative Effectiveness Research
K. Schroeder, C. Gallagher, M. Armstrong, M. Carnie, C. Evers, J. Fleisher, B. Kluger, J. Lamb, S. Seshadri, L. Wilson, M. Feeney, P. Davies (New York, USA)
Objective: To build a replicable, sustainable model of patient engagement in Parkinson’s disease (PD) comparative effectiveness research (CER) at academic research centers through patient advisory…
2022 International Congress
Caregiver burden in Parkinson’s Disease patients with Cardiovascular Dysautonomia
C. Ledda, G. Imbalzano, C. Artusi, A. Merola, E. Montanaro, M. Zibetti, M. Rizzone, G. Sobrero, F. Vallelonga, S. Maule, L. Lopiano, A. Romagnolo (Turin, Italy)
Objective: We sought to estimate the impact of cardiovascular autonomic neuropathy (cAN) on informal caregivers of patients with Parkinson’s disease (PD), defined as individuals providing regular…
2022 International Congress
An accurate yet practical method for DBS battery life prediction
S. Jinks (Sacramento, USA)
Objective: To develop a simple, accurate algorithm for predicting DBS IPG battery life in patients with PD, ET and dystonia. Background: Battery life for DBS…
2022 International Congress
Correlation between cognitive impairment and neuropsychiatric symptoms in Mexican persons living with Parkinson’s disease.
GI. Cerda-Hernández, AJ. Hernández-Medrano, P. Bazán-Rodríguez, E. Reséndiz-Henríquez, E. Ichikawa-Escamilla, MA. Ruiz-Mafud, RA. Abundes-Corona, A. Cervantes-Arriaga, M. Rodríguez-Violante, R. Solís-Vivanco (Mexico City, Mexico)
Objective: To describe the association amongst depression, anxiety, psychosis with cognitive impairment in Mexican people living with Parkinson’s disease (PwP). Background: Cognitive impairment and neuropsychiatric…
2022 International Congress
PD GENEration Clinical Phase: Genetic Diagnostic Yield and Clinical Characteristics
L. Cook, J. Verbrugge, T. Schwantes-An, M. Nance, A. Naito, K. Marder, M. Schwarzschild, T. Simuni, A. Wills, A. Hall, J. Schulze, P. Hodges, C. Casaceli, L. Heathers, K. Ghosh, J. Beck, R. Alcalay (Indianapolis, USA)
Objective: To assess the frequency of reportable variants in major genes associated with Parkinson’s disease (PD) and identify clinical predictors of positive genetic test results.…
2022 International Congress
Deep learning to distinguish Parkinson’s from controls in video, without human-defined measures
J. Yang, S. Williams, D. Hogg, J. Alty, S. Relton ()
Objective: We aimed to apply a deep learning neural network directly to video of finger tapping, without human-defined measures or features, for a computer to…
2022 International Congress
Characteristics and validity of technologies analyzing voice features to assess symptoms – a review
J. Dean, V. Iankova Md, S. Schneider (Aurora, USA)
Objective: Our goal was to review the current literature aiming to (i) list, (ii) compare and (iii) classify voice-based technologies that objectively measure the presence…