Literature DB >> 26836011

Patients with Mild Alzheimer's Disease Fail When Using Their Working Memory: Evidence from the Eye Tracking Technique.

Gerardo Fernández1, Facundo Manes2, Luis E Politi3, David Orozco4, Marcela Schumacher1, Liliana Castro1, Osvaldo Agamennoni1, Nora P Rotstein3.   

Abstract

Patients with Alzheimer's disease (AD) develop progressive language, visuoperceptual, attentional, and oculomotor changes that can have an impact on their reading comprehension. However, few studies have examined reading behavior in AD, and none have examined the contribution of predictive cueing in reading performance. For this purpose we analyzed the eye movement behavior of 35 healthy readers (Controls) and 35 patients with probable AD during reading of regular and high-predictable sentences. The cloze predictability of words N - 1, and N + 1 exerted an influence on the reader's gaze duration. The predictabilities of preceding words in high-predictable sentences served as task-appropriate cues that were used by Control readers. In contrast, these effects were not present in AD patients. In Controls, changes in predictability significantly affected fixation duration along the sentence; noteworthy, these changes did not affect fixation durations in AD patients. Hence, only in healthy readers did predictability of upcoming words influence fixation durations via memory retrieval. Our results suggest that Controls used stored information of familiar texts for enhancing their reading performance and imply that contextual-word predictability, whose processing is proposed to require memory retrieval, only affected reading behavior in healthy subjects. In AD patients, this loss reveals impairments in brain areas such as those corresponding to working memory and memory retrieval. These findings might be relevant for expanding the options for the early detection and monitoring in the early stages of AD. Furthermore, evaluation of eye movements during reading could provide a new tool for measuring drug impact on patients' behavior.

Entities:  

Keywords:  Alzheimer’s disease; eye movements; memory; reading

Mesh:

Year:  2016        PMID: 26836011     DOI: 10.3233/JAD-150265

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  7 in total

1.  Differential privacy for eye tracking with temporal correlations.

Authors:  Efe Bozkir; Onur Günlü; Wolfgang Fuhl; Rafael F Schaefer; Enkelejda Kasneci
Journal:  PLoS One       Date:  2021-08-17       Impact factor: 3.240

Review 2.  Computational Techniques for Eye Movements Analysis towards Supporting Early Diagnosis of Alzheimer's Disease: A Review.

Authors:  Jessica Beltrán; Mireya S García-Vázquez; Jenny Benois-Pineau; Luis Miguel Gutierrez-Robledo; Jean-François Dartigues
Journal:  Comput Math Methods Med       Date:  2018-05-20       Impact factor: 2.238

3.  Digital biomarkers for Alzheimer's disease: the mobile/ wearable devices opportunity.

Authors:  Lampros C Kourtis; Oliver B Regele; Justin M Wright; Graham B Jones
Journal:  NPJ Digit Med       Date:  2019-02-21

4.  Preliminary study of abnormalities in saccade dynamics in patients with hyperthyroidism with no pre-existing eye damage.

Authors:  Yan Sun; Xinhui Xie; Yongxia Xu; Chen Wang; Xiaoming Kong
Journal:  Exp Ther Med       Date:  2020-01-17       Impact factor: 2.447

Review 5.  Affective Computing for Late-Life Mood and Cognitive Disorders.

Authors:  Erin Smith; Eric A Storch; Ipsit Vahia; Stephen T C Wong; Helen Lavretsky; Jeffrey L Cummings; Harris A Eyre
Journal:  Front Psychiatry       Date:  2021-12-23       Impact factor: 4.157

6.  Pupil size as an indicator of cognitive activity in mild Alzheimer's disease.

Authors:  Mohamad El Haj; Guillaume Chapelet; Ahmed A Moustafa; Claire Boutoleau-Bretonnière
Journal:  EXCLI J       Date:  2022-01-17       Impact factor: 4.068

7.  Shortening of Saccades as a Possible Easy-to-Use Biomarker to Detect Risk of Alzheimer's Disease.

Authors:  Sanna Hannonen; Sami Andberg; Virve Kärkkäinen; Minna Rusanen; Juha-Matti Lehtola; Toni Saari; Ville Korhonen; Laura Hokkanen; Merja Hallikainen; Tuomo Hänninen; Ville Leinonen; Kai Kaarniranta; Roman Bednarik; Anne M Koivisto
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

  7 in total

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