Literature DB >> 25080188

Lack of contextual-word predictability during reading in patients with mild Alzheimer disease.

Gerardo Fernández1, Facundo Manes2, Nora P Rotstein3, Oscar Colombo4, Pablo Mandolesi5, Luis E Politi3, Osvaldo Agamennoni5.   

Abstract

In the present work we analyzed the effect of contextual word predictability on the eye movement behavior of patients with mild Alzheimer disease (AD) compared to age-matched controls, by using the eyetracking technique and lineal mixed models. Twenty AD patients and 40 age-matched controls participated in the study. We first evaluated gaze duration during reading low and highly predictable sentences. AD patients showed an increase in gaze duration, compared to controls, both in sentences of low or high predictability. In controls, highly predictable sentences led to shorter gaze durations; by contrary, AD patients showed similar gaze durations in both types of sentences. Similarly, gaze duration in controls was affected by the cloze predictability of word N and N+1, whereas it was the same in AD patients. In contrast, the effects of word frequency and word length were similar in controls and AD patients. Our results imply that contextual-word predictability, whose processing is proposed to require memory retrieval, facilitated reading behavior in healthy subjects, but this facilitation was lost in early AD patients. This loss might reveal impairments in brain areas such as those corresponding to working memory, memory retrieval, and semantic memory functions that are already present at early stages of AD. In contrast, word frequency and length processing might require less complex mechanisms, which were still retained by AD patients. To the best of our knowledge, this is the first study measuring how patients with early AD process well-defined words embedded in sentences of high and low predictability. Evaluation of the resulting changes in eye movement behavior might provide a useful tool for a more precise early diagnosis of AD.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Contextual predictability effect; Eye movements; Mild Alzheimer disease; Reading

Mesh:

Year:  2014        PMID: 25080188     DOI: 10.1016/j.neuropsychologia.2014.07.023

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


  4 in total

1.  Eyetracking Metrics in Young Onset Alzheimer's Disease: A Window into Cognitive Visual Functions.

Authors:  Ivanna M Pavisic; Nicholas C Firth; Samuel Parsons; David Martinez Rego; Timothy J Shakespeare; Keir X X Yong; Catherine F Slattery; Ross W Paterson; Alexander J M Foulkes; Kirsty Macpherson; Amelia M Carton; Daniel C Alexander; John Shawe-Taylor; Nick C Fox; Jonathan M Schott; Sebastian J Crutch; Silvia Primativo
Journal:  Front Neurol       Date:  2017-08-07       Impact factor: 4.003

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.  Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers.

Authors:  Kathleen C Fraser; Kristina Lundholm Fors; Marie Eckerström; Fredrik Öhman; Dimitrios Kokkinakis
Journal:  Front Aging Neurosci       Date:  2019-08-02       Impact factor: 5.750

4.  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

  4 in total

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