Literature DB >> 31521634

Eye tracking - The overlooked method to measure cognition in neurodegeneration?

A P A Bueno1, J R Sato2, M Hornberger3.   

Abstract

Eye tracking (ET) studies are becoming increasingly popular due to rapid methodological and technological advances as well as the development of cost efficient and portable eye trackers. Although historically ET has been mostly employed in psychophysics or developmental cognition studies, there is also promising scope to use ET for movement disorders and measuring cognitive processes in neurodegeneration. Particularly, ET can be a powerful tool for cognitive and neuropsychological assessments of patients with pathologies affecting motor and verbal abilities, as tasks can be adapted without requiring motor (except eye movements) or verbal responses. In this review, we will examine the existing evidence of ET methods in neurodegenerative conditions and its potential clinical impact for cognitive assessment. We highlight that current evidence for ET is mostly focused on diagnostics of cognitive impairments in neurodegenerative disorders, where it is debatable whether it has any more sensitivity or specificity than existing cognitive assessments. By contrast, there is currently a lack of ET studies in more advanced disease stages, when patients' motor and verbal functions can be significantly affected, and standard cognitive assessments are challenging or often not possible. We conclude that ET is a promising method not only for cognitive diagnostics but more importantly, for potential cognitive disease tracking in progressive neurodegenerative conditions.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cognition; Eye tracking; Neurodegeneration

Year:  2019        PMID: 31521634     DOI: 10.1016/j.neuropsychologia.2019.107191

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  9 in total

1.  Eye Tracking in Patients with Parkinson's Disease Treated with Nabilone-Results of a Phase II, Placebo-Controlled, Double-Blind, Parallel-Group Pilot Study.

Authors:  Philipp Ellmerer; Marina Peball; Federico Carbone; Marcel Ritter; Beatrice Heim; Kathrin Marini; Dora Valent; Florian Krismer; Werner Poewe; Atbin Djamshidian; Klaus Seppi
Journal:  Brain Sci       Date:  2022-05-19

Review 2.  Saccadic Eye Movement in Mild Cognitive Impairment and Alzheimer's Disease: A Systematic Review and Meta-Analysis.

Authors:  Julius Opwonya; Dieu Ni Thi Doan; Seul Gee Kim; Joong Il Kim; Boncho Ku; Soochan Kim; Sunju Park; Jaeuk U Kim
Journal:  Neuropsychol Rev       Date:  2021-05-06       Impact factor: 6.940

3.  Application of Eye Tracking in Puzzle Games for Adjunct Cognitive Markers: Pilot Observational Study in Older Adults.

Authors:  Christine Krebs; Michael Falkner; Joel Niklaus; Luca Persello; Stefan Klöppel; Tobias Nef; Prabitha Urwyler
Journal:  JMIR Serious Games       Date:  2021-03-22       Impact factor: 4.143

4.  Eye movements in frontotemporal dementia: Abnormalities of fixation, saccades and anti-saccades.

Authors:  Lucy L Russell; Caroline V Greaves; Rhian S Convery; Martina Bocchetta; Jason D Warren; Diego Kaski; Jonathan D Rohrer
Journal:  Alzheimers Dement (N Y)       Date:  2021-12-31

5.  Visual Search in Naturalistic Scenes Reveals Impaired Cognitive Processing Speed in Multiple Sclerosis.

Authors:  Johannes Gehrig; Heinrich Johannes Bergmann; Laura Fadai; Dilara Soydaş; Christian Buschenlange; Marcus J Naumer; Jochen Kaiser; Stefan Frisch; Marion Behrens; Christian Foerch; Yavor Yalachkov
Journal:  Front Neurol       Date:  2022-02-14       Impact factor: 4.003

6.  Abnormalities of the oculomotor function in type 1 diabetes and diabetic neuropathy.

Authors:  Francesca D'Addio; Ida Pastore; Cristian Loretelli; Alessandro Valderrama-Vasquez; Vera Usuelli; Emma Assi; Chiara Mameli; Maddalena Macedoni; Anna Maestroni; Antonio Rossi; Maria Elena Lunati; Paola Silvia Morpurgo; Alessandra Gandolfi; Laura Montefusco; Andrea Mario Bolla; Moufida Ben Nasr; Stefania Di Maggio; Lisa Melzi; Giovanni Staurenghi; Antonio Secchi; Stefania Bianchi Marzoli; Gianvincenzo Zuccotti; Paolo Fiorina
Journal:  Acta Diabetol       Date:  2022-06-22       Impact factor: 4.087

7.  A novel deep learning approach for diagnosing Alzheimer's disease based on eye-tracking data.

Authors:  Jinglin Sun; Yu Liu; Hao Wu; Peiguang Jing; Yong Ji
Journal:  Front Hum Neurosci       Date:  2022-09-09       Impact factor: 3.473

8.  Using Dynamics of Eye Movements, Speech Articulation and Brain Activity to Predict and Track mTBI Screening Outcomes.

Authors:  James R Williamson; Doug Sturim; Trina Vian; Joseph Lacirignola; Trey E Shenk; Sophia Yuditskaya; Hrishikesh M Rao; Thomas M Talavage; Kristin J Heaton; Thomas F Quatieri
Journal:  Front Neurol       Date:  2021-07-06       Impact factor: 4.003

9.  Eyetracking during picture naming predicts future vocabulary dropout in progressive anomia.

Authors:  Jamie Reilly; Maurice Flurie; Molly B Ungrady
Journal:  Neuropsychol Rehabil       Date:  2020-10-28       Impact factor: 2.928

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.