Crowdsourcing Digital Health Measures to Predict Parkinson's Disease Severity: The Parkinson's Disease Digital Biomarker Dream Challenge
| dc.contributor.author | Sieberts, Solveig K. | |
| dc.contributor.author | Schaff, Jennifer | |
| dc.contributor.author | Duda, Marlena | |
| dc.contributor.author | Pataki, Balint Armin | |
| dc.contributor.author | Sun, Ming | |
| dc.contributor.author | Snyder, Phil | |
| dc.contributor.author | Omberg, Larsson | |
| dc.date.accessioned | 2025-09-25T10:43:20Z | |
| dc.date.available | 2025-09-25T10:43:20Z | |
| dc.date.issued | 2021-03-19 | |
| dc.description | Gormez, Yasin/0000-0001-8276-2030; Vergara-Diaz, Gloria/0000-0003-1072-1322; Guan, Yuanfang/0000-0001-8275-2852; Elo, Laura/0000-0001-5648-4532; Duda, Marlena/0000-0003-2369-2225; Raghava, Gajendra/0000-0002-8902-2876; Rainaldi, Erin/0000-0003-1082-7055; Sapienza, Stefano/0000-0002-0917-6454; Mohammadian Rad, Nastaran/0000-0003-3068-4127; Jonnagaddala, Jitendra/0000-0002-9912-2344; Klen, Riku/0000-0002-0982-8360; Kurz, Christoph/0000-0001-9498-8002; Han, Zhi/0000-0002-5603-8433; Glaab, Enrico/0000-0003-3977-7469; Jaakkola, Maria K/0000-0001-7199-0062; | en_US |
| dc.description.abstract | Consumer wearables and sensors are a rich source of data about patients' daily disease and symptom burden, particularly in the case of movement disorders like Parkinson's disease (PD). However, interpreting these complex data into so-called digital biomarkers requires complicated analytical approaches, and validating these biomarkers requires sufficient data and unbiased evaluation methods. Here we describe the use of crowdsourcing to specifically evaluate and benchmark features derived from accelerometer and gyroscope data in two different datasets to predict the presence of PD and severity of three PD symptoms: tremor, dyskinesia, and bradykinesia. Forty teams from around the world submitted features, and achieved drastically improved predictive performance for PD status (best AUROC = 0.87), as well as tremor- (best AUPR = 0.75), dyskinesia- (best AUPR = 0.48) and bradykinesia-severity (best AUPR = 0.95). | en_US |
| dc.description.sponsorship | Robert Wood Johnson Foundation; Michael J. Fox Foundation; NIH NIGMS Bioinformatics Training Grant [5T32GM070449-12]; Canadian Institutes of Health Research; European Research Council ERC [677943]; European Union's Horizon 2020 research and innovation programme [675395]; Academy of Finland [296801, 304995, 310561, 314443]; Sigrid Juselius Foundation; Fonds Nationale de la Recherche (FNR) Luxembourg, through the National Centre of Excellence in Research (NCER) on Parkinson's disease [I1R-BIC-PFN-15NCER]; project PD-Strat [INTER/11651464]; Alfred Kordelin Foundation; UNSW Sydney Electronic Practice Based Research Network (ePBRN) program; UNSW Translational Cancer Research Network (TCRN) program; University of Rochester CTSA award from the National Center for Advancing Translational Sciences of the National Institutes of Health [UL1 TR002001]; Swiss National Science Foundation (SNSF) within the National Research Program (NRP) 75 "Big Data" [167302]; NIH [R35GM133346]; NSF [1452656]; Michael J. Fox Foundation [17373]; American Parkinson Disease Association [AWD007950]; Cohen Veterans Bioscience; Elder Research, an AI and Data Science consulting agency; National Institute of General Medical Sciences [R35GM133346] Funding Source: NIH RePORTER | en_US |
| dc.description.sponsorship | The Parkinson's Disease Digital Biomarker Challenge was funded by the Robert Wood Johnson Foundation and the Michael J. Fox Foundation. Data were contributed by users of the Parkinson mPower mobile application as part of the mPower study developed by Sage Bionetworks and described in Synapse [https://doi.org/10.7303/syn4993293].Resources and support for J.S. were provided by Elder Research, an AI and Data Science consulting agency. M.D. was supported by NIH NIGMS Bioinformatics Training Grant (5T32GM070449-12). J.F.D. was supported by a postdoctoral fellowship from the Canadian Institutes of Health Research. L.L.E. reports grants from the European Research Council ERC (677943), European Union's Horizon 2020 research and innovation programme (675395), Academy of Finland (296801, 304995, 310561 and 314443), and Sigrid Juselius Foundation, during the conduct of the study. EG1 acknowledges the funding support by the Fonds Nationale de la Recherche (FNR) Luxembourg, through the National Centre of Excellence in Research (NCER) on Parkinson's disease (I1R-BIC-PFN-15NCER), and as part of the grant project PD-Strat (INTER/11651464). M.K.J. was supported by Alfred Kordelin Foundation. J.J. is supported by UNSW Sydney Electronic Practice Based Research Network (ePBRN) and Translational Cancer Research Network (TCRN) programs. D.L. is supported in part by the University of Rochester CTSA award number UL1 TR002001 from the National Center for Advancing Translational Sciences of the National Institutes of Health. PS2 is supported by the Swiss National Science Foundation (SNSF) project No. 167302 within the National Research Program (NRP) 75 "Big Data". P.S. is an affiliated PhD fellow at the Max Planck ETH Center for Learning Systems. Y.G. is supported by NIH R35GM133346, NSF#1452656, Michael J. Fox Foundation #17373, American Parkinson Disease Association AWD007950. Cohen Veterans Bioscience contributed financial support to Early Signal Foundation's costs (U.R., C.E., and D.B.). | en_US |
| dc.description.sponsorship | J.F.D. holds equity shares of Medapplets. E.R.D. has received honoraria for speaking at American Academy of Neurology courses, American Neurological Association, and University of Michigan; received compensation for consulting services from 23andMe, Abbott, Abbvie, American Well, Biogen, Clintrex, DeciBio, Denali Therapeutics, GlaxoSmithKline, Grand Rounds, Karger, Lundbeck, MC10, MedAvante, Medical-legal services, Mednick Associates, National Institute of Neurological Disorders and Stroke, Olson Research Group, Optio, Origent Data Sciences, Inc., Prilenia, Putnam Associates, Roche, Sanofi, Shire, Sunovion Pharma, Teva, UCB and Voyager Therapeutics; research support from Abbvie, Acadia Pharmaceuticals, AMC Health, Biosensics, Burroughs Wellcome Fund, Davis Phinney Foundation, Duke University, Food and Drug Administration, GlaxoSmithKline, Greater Rochester Health Foundation, Huntington Study Group, Michael J. Fox Foundation, National Institutes of Health/National Institute of Neurological Disorders and Stroke, National Science Foundation, Nuredis Pharmaceuticals, Patient-Centered Outcomes Research Institute, Pfizer, Prana Biotechnology, Raptor Pharmaceuticals, Roche, Safra Foundation, Teva Pharmaceuticals, University of California Irvine; editorial services for Karger Publications; and ownership interests with Blackfynn (data integration company) and Grand Rounds (second opinion service). F.N.G. is currently a full time employee of Draeger Medical Systems. E.R. is an employee of Verily Life Sciences, receiving salary and equity compensation. Y.G. receives research funding from Merck KGaA, Ryss Tech and Amazon, receives personal payment from Genentech, Inc, Eli Lilly and Company, F. Hoffmann-La Roche AG, serves as chief scientist and holds equity shares at Ann Arbor Algorithms Inc. D.B. was salaried President of Early Signal Foundation at the time of this work, and is currently salaried Executive Director of Digital Health for Cohen Veterans Bioscience. P. Bonato has received grant support from the American Heart Association, the Department of Defense, the Michael J Fox Foundation, the National Institutes of Health (NIH), the National Science Foundation (NSF), and the Peabody Foundation including sub-awards on NIH and NSF SBIR grants from Barrett Technology (Newton MA), BioSensics (Watertown MA) and Veristride (Salt Lake City UT). He has also received grant support from Emerge Diagnostics (Carlsbad CA), MC10 (Lexington MA), Mitsui Chemicals (Tokyo Japan), Pfizer (New York City NY), Shimmer Research (Dublin Ireland), and SynPhNe (Singapore). He serves in an advisory role the Michael J Fox Foundation, the NIH-funded Center for Translation of Rehabilitation Engineering Advances and Technology, and the NIH-funded New England Pediatric Device Consortium. He also serves on the Scientific Advisory Boards of Hocoma AG (Zurich Switzerland), Trexo (Toronto Canada), and ABLE Human Motion (Barcelona, Spain) in an uncompensated role. Consortium authors A.A., C.A., V.C., S.H., and R.N. report that their employer, IBM Research, is the research branch of IBM Corporation, and V.C., S.H., and R.N. report that they own stock in IBM Corporation. All other authors report no competing interests. | |
| dc.description.sponsorship | Robert Wood Johnson Foundation; Michael J. Fox Foundation; NIH NIGMS Bioinformatics Training Grant [5T32GM070449-12]; Canadian Institutes of Health Research; European Research Council ERC [677943]; European Union's Horizon 2020 research and innovation programme [675395]; Academy of Finland [296801, 304995, 310561, 314443]; Sigrid Juselius Foundation; Fonds Nationale de la Recherche (FNR) Luxembourg, through the National Centre of Excellence in Research (NCER) on Parkinson's disease [I1R-BIC-PFN-15NCER]; project PD-Strat [INTER/11651464]; Alfred Kordelin Foundation; UNSW Sydney Electronic Practice Based Research Network (ePBRN) program; UNSW Translational Cancer Research Network (TCRN) program; University of Rochester CTSA award from the National Center for Advancing Translational Sciences of the National Institutes of Health [UL1 TR002001]; Swiss National Science Foundation (SNSF) within the National Research Program (NRP) 75 Big Data [167302]; NIH [R35GM133346]; NSF [1452656]; Michael J. Fox Foundation [17373]; American Parkinson Disease Association [AWD007950]; Cohen Veterans Bioscience; Elder Research, an AI and Data Science consulting agency; National Center for Advancing Translational Sciences [UL1TR002001] Funding Source: NIH RePORTER; National Institute of General Medical Sciences [R35GM133346] Funding Source: NIH RePORTER | |
| dc.description.sponsorship | The Parkinson's Disease Digital Biomarker Challenge was funded by the Robert Wood Johnson Foundation and the Michael J. Fox Foundation. Data were contributed by users of the Parkinson mPower mobile application as part of the mPower study developed by Sage Bionetworks and described in Synapse [https://doi.org/10.7303/syn4993293].Resources and support for J.S. were provided by Elder Research, an AI and Data Science consulting agency. M.D. was supported by NIH NIGMS Bioinformatics Training Grant (5T32GM070449-12). J.F.D. was supported by a postdoctoral fellowship from the Canadian Institutes of Health Research. L.L.E. reports grants from the European Research Council ERC (677943), European Union's Horizon 2020 research and innovation programme (675395), Academy of Finland (296801, 304995, 310561 and 314443), and Sigrid Juselius Foundation, during the conduct of the study. EG1 acknowledges the funding support by the Fonds Nationale de la Recherche (FNR) Luxembourg, through the National Centre of Excellence in Research (NCER) on Parkinson's disease (I1R-BIC-PFN-15NCER), and as part of the grant project PD-Strat (INTER/11651464). M.K.J. was supported by Alfred Kordelin Foundation. J.J. is supported by UNSW Sydney Electronic Practice Based Research Network (ePBRN) and Translational Cancer Research Network (TCRN) programs. D.L. is supported in part by the University of Rochester CTSA award number UL1 TR002001 from the National Center for Advancing Translational Sciences of the National Institutes of Health. PS2 is supported by the Swiss National Science Foundation (SNSF) project No. 167302 within the National Research Program (NRP) 75 Big Data. P.S. is an affiliated PhD fellow at the Max Planck ETH Center for Learning Systems. Y.G. is supported by NIH R35GM133346, NSF#1452656, Michael J. Fox Foundation #17373, American Parkinson Disease Association AWD007950. Cohen Veterans Bioscience contributed financial support to Early Signal Foundation's costs (U.R., C.E., and D.B.). | |
| dc.description.sponsorship | American Heart Association, AHA; Shimmer Research; Voyager Therapeutics; Robert Wood Johnson Foundation, RWJF; Merck KGaA; Teva Pharmaceutical Industries; School of Public Health, University of California Berkeley, UCB; ACADIA Pharmaceuticals, ACADIA; American Neurological Association, ANA; Davis Phinney Foundation, DPF; Greater Rochester Health Foundation; Shire; AbbVie; Sunovion Pharma; National Institute of Neurological Disorders and Stroke, NINDS; Abbott Laboratories; Huntington Study Group; Peabody Foundation; Roche; Nuredis Pharmaceuticals; Safra Foundation; Duke University, Food and Drug Administration; GlaxoSmithKline, GSK; Patient-Centered Outcomes Research Institute, PCORI; Fonds Nationale de la Recherche; Canadian Institutes of Health Research, CIHR; fr:IRSC; SynPhNe; European Research Council, ERC; Sanofi; Alfred Kordelinin Säätiö; Michael J. Fox Foundation for Parkinson's Research, MJFF; Pfizer; University of Michigan, U-M; Burroughs Wellcome Fund, BWF; University of California, Irvine, UCI; University of New South Wales, UNSW; U.S. Department of Defense, DOD; Mitsui Chemicals (Tokyo Japan), Pfizer; Sigrid Juséliuksen Säätiö; Barrett Technology; Horizon 2020 Framework Programme, H2020, (677943); Horizon 2020 Framework Programme, H2020; National Science Foundation, NSF, (17373, 1452656); National Science Foundation, NSF; University of Rochester CTSA, (UL1 TR002001); National Institutes of Health, NIH, (R35GM133346); National Institutes of Health, NIH; National Institute of General Medical Sciences, NIGMS, (5T32GM070449-12); National Institute of General Medical Sciences, NIGMS; National Center for Advancing Translational Sciences, NCATS, (UL1 TR002001); National Center for Advancing Translational Sciences, NCATS; National Centre of Excellence in Research, (INTER/11651464, I1R-BIC-PFN-15NCER); H2020 European Research Council, ERC; es:CEI; fr:CER; pl:ERBN, (675395); H2020 European Research Council, ERC; es:CEI; fr:CER; pl:ERBN; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF, (167302); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; American Parkinson Disease Association, APDA, (AWD007950); American Parkinson Disease Association, APDA; Suomen Akatemia, (296801, 310561, 304995, 314443); Suomen Akatemia | |
| dc.identifier.doi | 10.1038/s41746-021-00414-7 | |
| dc.identifier.issn | 2398-6352 | |
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| dc.identifier.uri | https://doi.org/10.1038/s41746-021-00414-7 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/3554 | |
| dc.language.iso | en | en_US |
| dc.publisher | Nature Portfolio | en_US |
| dc.relation.ispartof | NPJ Digital Medicine | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.title | Crowdsourcing Digital Health Measures to Predict Parkinson's Disease Severity: The Parkinson's Disease Digital Biomarker Dream Challenge | en_US |
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| gdc.author.id | Elo, Laura/0000-0001-5648-4532 | |
| gdc.author.id | Duda, Marlena/0000-0003-2369-2225 | |
| gdc.author.id | Raghava, Gajendra/0000-0002-8902-2876 | |
| gdc.author.id | Glaab, Enrico/0000-0003-3977-7469 | |
| gdc.author.id | Klén, Riku/0000-0002-0982-8360 | |
| gdc.author.id | Sapienza, Stefano/0000-0002-0917-6454 | |
| gdc.author.id | Rainaldi, Erin/0000-0003-1082-7055 | |
| gdc.author.id | Mohammadian Rad, Nastaran/0000-0003-3068-4127 | |
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| gdc.author.wosid | Elo, Laura/A-9449-2015 | |
| gdc.author.wosid | Perrin, Dimitri/H-8630-2013 | |
| gdc.author.wosid | Klén, Riku/G-4339-2016 | |
| gdc.author.wosid | Parisi, Federico/Aaf-8206-2019 | |
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| gdc.description.department | Abdullah Gül University | en_US |
| gdc.description.departmenttemp | [Sieberts, Solveig K.; Snyder, Phil; Chae, Yooree; Chaibub Neto, Elias; Perumal, Thanneer M.; Mangravite, Lara M.; Omberg, Larsson] Sage Bionetworks, Seattle, WA 98121 USA; [Schaff, Jennifer] Elder Res Inc, Charlottesville, VA USA; [Duda, Marlena; Guan, Yuanfang] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI USA; [Pataki, Balint Armin] Eotvos Lorand Univ, Dept Phys Complex Syst, Budapest, Hungary; [Sun, Ming] Google Inc, New York, NY USA; [Daneault, Jean-Francois; Parisi, Federico; Costante, Gianluca; Golabchi, Fatemeh Noushin; Sapienza, Stefano; Vergara-Diaz, Gloria; Bonato, Paolo] Harvard Med Sch, Dept PM&R, Spaulding Rehabil Hosp, Charlestown, MA USA; [Daneault, Jean-Francois] Rutgers State Univ, Dept Rehabil & Movement Sci, Newark, NJ USA; [Parisi, Federico; Costante, Gianluca; Bonato, Paolo] Harvard Univ, Wyss Inst, Boston, MA USA; [Rubin, Udi; Espino, Carlos; Shokhirev, Nikolai; Brunner, Daniela] Early Signal Fdn, 311 W 43rd St, New York, NY USA; [Banda, Peter; Glaab, Enrico] Univ Luxembourg, Luxembourg Ctr Syst Biomed, Esch Sur Alzette, Luxembourg; [Dorsey, E. Ray] Univ Rochester, Ctr Hlth Technol, Rochester, NY USA; [Aydin, Zafer; Gormez, Yasin] Abdullah Gul Univ, Dept Elect & Comp Engn, Kayseri, Turkey; [Chen, Aipeng] UNSW Sydney, Prince Wales Clin Sch, Sydney, NSW, Australia; [Elo, Laura L.; Jaakkola, Maria K.; Klen, Riku; Venalainen, Mikko S.] Univ Turku, Turku Biosci Ctr, Tykistokatu 6, Turku, Finland; [Elo, Laura L.; Jaakkola, Maria K.; Klen, Riku; Venalainen, Mikko S.] Abo Akad Univ, Tykistokatu 6, Turku, Finland; [Goan, Ethan] Queensland Univ Technol, Sch Elect Engn & Robot, Brisbane, Qld, Australia; [Jaakkola, Maria K.] Univ Turku, Dept Math & Stat, Turku, Finland; [Jonnagaddala, Jitendra] UNSW Sydney, Sch Publ Hlth & Community Med, Sydney, NSW, Australia; [Jonnagaddala, Jitendra] UNSW Sydney, WHO Collaborating Ctr eHlth, Sydney, NSW, Australia; [Li, Dongmei] Univ Rochester, Clin & Translat Sci Inst, Med Ctr, Rochester, NY USA; [McDaniel, Christian] Univ Georgia, Artificial Intelligence, Athens, GA USA; [McDaniel, Christian] Univ Georgia, Comp Sci, Athens, GA USA; [Perrin, Dimitri] Queensland Univ Technol, Sch Comp Sci, Brisbane, Qld, Australia; [Rad, Nastaran Mohammadian] Radboud Univ Nijmegen, Inst Comp & Informat Sci, Nijmegen, Netherlands; [Rad, Nastaran Mohammadian] Fdn Bruno Kessler FBK, Via Sommarive 18, Trento, Italy; [Rad, Nastaran Mohammadian] Univ Trento, Trento, Italy; [Rainaldi, Erin] Verily Life Sci, 269 East Grand Ave, San Francisco, CA USA; [Schwab, Patrick] Swiss Fed Inst Technol, Inst Robot & Intelligent Syst, Zurich, Switzerland; [Zhang, Yuqian] Shanghai Jiao Tong Univ, Sch Biomed Engn, Shanghai, Peoples R China; [Wang, Yuanjia] Columbia Univ, Dept Biostat, Mailman Sch Publ Hlth, New York, NY USA; [Brunner, Daniela] Columbia Univ, Dept Psychiat, New York, NY USA | en_US |
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| gdc.oaire.keywords | Cardiovascular and Metabolic Diseases | |
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