Literature DB >> 35016250

Digital Phenotyping in Clinical Neurology.

Anoopum S Gupta1.   

Abstract

Internet-connected devices, including personal computers, smartphones, smartwatches, and voice assistants, have evolved into powerful multisensor technologies that billions of people interact with daily to connect with friends and colleagues, access and share information, purchase goods, play games, and navigate their environment. Digital phenotyping taps into the data streams captured by these devices to characterize and understand health and disease. The purpose of this article is to summarize opportunities for digital phenotyping in neurology, review studies using everyday technologies to obtain motor and cognitive information, and provide a perspective on how neurologists can embrace and accelerate progress in this emerging field. Thieme. All rights reserved.

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Year:  2022        PMID: 35016250      PMCID: PMC9117425          DOI: 10.1055/s-0041-1741495

Source DB:  PubMed          Journal:  Semin Neurol        ISSN: 0271-8235            Impact factor:   3.212


  158 in total

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Journal:  Semin Pediatr Neurol       Date:  2019-03-26       Impact factor: 1.636

2.  Microsaccades and the velocity-amplitude relationship for saccadic eye movements.

Authors:  B L Zuber; L Stark; G Cook
Journal:  Science       Date:  1965-12-10       Impact factor: 47.728

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-03-14       Impact factor: 6.053

4.  Accelerometry and its association with objective markers of walking limitations in ambulatory adults with multiple sclerosis.

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Journal:  Arch Phys Med Rehabil       Date:  2010-12       Impact factor: 3.966

5.  Remote Monitoring of Treatment Response in Parkinson's Disease: The Habit of Typing on a Computer.

Authors:  Michele Matarazzo; Teresa Arroyo-Gallego; Paloma Montero; Verónica Puertas-Martín; Ian Butterworth; Carlos S Mendoza; María J Ledesma-Carbayo; María José Catalán; José Antonio Molina; Félix Bermejo-Pareja; Juan Carlos Martínez-Castrillo; Lydia López-Manzanares; Araceli Alonso-Cánovas; Jaime Herreros Rodríguez; Ignacio Obeso; Pablo Martínez-Martín; José Carlos Martínez-Ávila; Agustín Gómez de la Cámara; Martha Gray; José A Obeso; Luca Giancardo; Álvaro Sánchez-Ferro
Journal:  Mov Disord       Date:  2019-06-18       Impact factor: 10.338

6.  Automated assessment of bradykinesia and dyskinesia in Parkinson's disease.

Authors:  Robert I Griffiths; Katya Kotschet; Sian Arfon; Zheng Ming Xu; William Johnson; John Drago; Andrew Evans; Peter Kempster; Sanjay Raghav; Malcolm K Horne
Journal:  J Parkinsons Dis       Date:  2012       Impact factor: 5.568

7.  Clinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria.

Authors:  Günter U Höglinger; Gesine Respondek; Maria Stamelou; Carolin Kurz; Keith A Josephs; Anthony E Lang; Brit Mollenhauer; Ulrich Müller; Christer Nilsson; Jennifer L Whitwell; Thomas Arzberger; Elisabet Englund; Ellen Gelpi; Armin Giese; David J Irwin; Wassilios G Meissner; Alexander Pantelyat; Alex Rajput; John C van Swieten; Claire Troakes; Angelo Antonini; Kailash P Bhatia; Yvette Bordelon; Yaroslau Compta; Jean-Christophe Corvol; Carlo Colosimo; Dennis W Dickson; Richard Dodel; Leslie Ferguson; Murray Grossman; Jan Kassubek; Florian Krismer; Johannes Levin; Stefan Lorenzl; Huw R Morris; Peter Nestor; Wolfgang H Oertel; Werner Poewe; Gil Rabinovici; James B Rowe; Gerard D Schellenberg; Klaus Seppi; Thilo van Eimeren; Gregor K Wenning; Adam L Boxer; Lawrence I Golbe; Irene Litvan
Journal:  Mov Disord       Date:  2017-05-03       Impact factor: 10.338

Review 8.  Digital technologies for cognitive assessment to accelerate drug development in Alzheimer's disease.

Authors:  C Leurent; M D Ehlers
Journal:  Clin Pharmacol Ther       Date:  2015-09-08       Impact factor: 6.875

9.  Design and results of a smartphone-based digital phenotyping study to quantify ALS progression.

Authors:  James D Berry; Sabrina Paganoni; Kenzie Carlson; Katherine Burke; Harli Weber; Patrick Staples; Joel Salinas; James Chan; Jordan R Green; Kathryn Connaghan; Josh Barback; Jukka Pekka Onnela
Journal:  Ann Clin Transl Neurol       Date:  2019-04-03       Impact factor: 4.511

10.  Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study.

Authors:  Helen L Egger; Geraldine Dawson; Jordan Hashemi; Kimberly L H Carpenter; Steven Espinosa; Kathleen Campbell; Samuel Brotkin; Jana Schaich-Borg; Qiang Qiu; Mariano Tepper; Jeffrey P Baker; Richard A Bloomfield; Guillermo Sapiro
Journal:  NPJ Digit Med       Date:  2018-06-01
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  2 in total

1.  Automatic Classification and Severity Estimation of Ataxia From Finger Tapping Videos.

Authors:  Adonay S Nunes; Nataliia Kozhemiako; Christopher D Stephen; Jeremy D Schmahmann; Sheraz Khan; Anoopum S Gupta
Journal:  Front Neurol       Date:  2022-02-28       Impact factor: 4.003

2.  Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping.

Authors:  Alain Ndayisaba; Ariana T Pitaro; Andrew S Willett; Kristie A Jones; Claudio Melo de Gusmao; Abby L Olsen; Jisoo Kim; Eero Rissanen; Jared K Woods; Sharan R Srinivasan; Anna Nagy; Amanda Nagy; Merlyne Mesidor; Steven Cicero; Viharkumar Patel; Derek H Oakley; Idil Tuncali; Katherine Taglieri-Noble; Emily C Clark; Jordan Paulson; Richard C Krolewski; Gary P Ho; Albert Y Hung; Anne-Marie Wills; Michael T Hayes; Jason P Macmore; Luigi Warren; Pamela G Bower; Carol B Langer; Lawrence R Kellerman; Christopher W Humphreys; Bonnie I Glanz; Elodi J Dielubanza; Matthew P Frosch; Roy L Freeman; Christopher H Gibbons; Nadia Stefanova; Tanuja Chitnis; Howard L Weiner; Clemens R Scherzer; Sonja W Scholz; Dana Vuzman; Laura M Cox; Gregor Wenning; Jeremy D Schmahmann; Peter Novak; Geoffrey S Young; Mel B Feany; Tarun Singhal; Vikram Khurana
Journal:  Cerebellum       Date:  2022-10-03       Impact factor: 3.648

  2 in total

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