Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading

Autores
Fernández, Gerardo Abel; Castro, Liliana Raquel; Schumacher, Marcela Silvana; Agamennoni, Osvaldo Enrique
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Reading requires the integration of several central cognitive subsystems, ranging from attention and oculomotor control to word identification and language comprehension. Reading saccades and fixations contain information that can be correlated with word properties. When reading a sentence, the brain must decide where to direct the next saccade according to what has been read up to the actual fixation. In this process, the retrieval memory brings information about the current word features and attributes into working memory. According to this information, the prefrontal cortex predicts and triggers the next saccade. The frequency and cloze predictability of the fixated word, the preceding words and the upcoming ones affect when and where the eyes will move next. In this paper we present a diagnostic technique for early stage cognitive impairment detection by analyzing eye movements during reading proverbs. We performed a case-control study involving 20 patients with probable Alzheimer's disease and 40 age-matched, healthy control patients. The measurements were analyzed using linear mixed-effects models, revealing that eye movement behavior while reading can provide valuable information about whether a person is cognitively impaired. To the best of our knowledge, this is the first study using word-based properties, proverbs and linear mixed-effect models for identifying cognitive abnormalities.
Fil: Fernández, Gerardo Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
Fil: Castro, Liliana Raquel. Universidad Nacional del Sur. Departamento de Matemática; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
Fil: Schumacher, Marcela Silvana. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina
Fil: Agamennoni, Osvaldo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
Materia
Eyetracking Signal Analys
Alzheimer Disease
Eye Movements
Cognitive Impairments
Linear Mixed-Effect Models
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/11826
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Diagnosis of mild Alzheimer disease through the analysis of eye movements during readingFernández, Gerardo AbelCastro, Liliana RaquelSchumacher, Marcela SilvanaAgamennoni, Osvaldo EnriqueEyetracking Signal AnalysAlzheimer DiseaseEye MovementsCognitive ImpairmentsLinear Mixed-Effect Modelshttps://purl.org/becyt/ford/3.5https://purl.org/becyt/ford/3Reading requires the integration of several central cognitive subsystems, ranging from attention and oculomotor control to word identification and language comprehension. Reading saccades and fixations contain information that can be correlated with word properties. When reading a sentence, the brain must decide where to direct the next saccade according to what has been read up to the actual fixation. In this process, the retrieval memory brings information about the current word features and attributes into working memory. According to this information, the prefrontal cortex predicts and triggers the next saccade. The frequency and cloze predictability of the fixated word, the preceding words and the upcoming ones affect when and where the eyes will move next. In this paper we present a diagnostic technique for early stage cognitive impairment detection by analyzing eye movements during reading proverbs. We performed a case-control study involving 20 patients with probable Alzheimer's disease and 40 age-matched, healthy control patients. The measurements were analyzed using linear mixed-effects models, revealing that eye movement behavior while reading can provide valuable information about whether a person is cognitively impaired. To the best of our knowledge, this is the first study using word-based properties, proverbs and linear mixed-effect models for identifying cognitive abnormalities.Fil: Fernández, Gerardo Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; ArgentinaFil: Castro, Liliana Raquel. Universidad Nacional del Sur. Departamento de Matemática; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; ArgentinaFil: Schumacher, Marcela Silvana. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; ArgentinaFil: Agamennoni, Osvaldo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; ArgentinaImperial College Press2015-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/11826Fernández, Gerardo Abel; Castro, Liliana Raquel; Schumacher, Marcela Silvana; Agamennoni, Osvaldo Enrique; Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading; Imperial College Press; Journal Of Integrative Neuroscience; 14; 1; 3-2015; 1-130219-63521757-448Xenginfo:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0219635215500090info:eu-repo/semantics/altIdentifier/doi/10.1142/S0219635215500090info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:50:00Zoai:ri.conicet.gov.ar:11336/11826instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:50:00.726CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading
title Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading
spellingShingle Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading
Fernández, Gerardo Abel
Eyetracking Signal Analys
Alzheimer Disease
Eye Movements
Cognitive Impairments
Linear Mixed-Effect Models
title_short Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading
title_full Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading
title_fullStr Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading
title_full_unstemmed Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading
title_sort Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading
dc.creator.none.fl_str_mv Fernández, Gerardo Abel
Castro, Liliana Raquel
Schumacher, Marcela Silvana
Agamennoni, Osvaldo Enrique
author Fernández, Gerardo Abel
author_facet Fernández, Gerardo Abel
Castro, Liliana Raquel
Schumacher, Marcela Silvana
Agamennoni, Osvaldo Enrique
author_role author
author2 Castro, Liliana Raquel
Schumacher, Marcela Silvana
Agamennoni, Osvaldo Enrique
author2_role author
author
author
dc.subject.none.fl_str_mv Eyetracking Signal Analys
Alzheimer Disease
Eye Movements
Cognitive Impairments
Linear Mixed-Effect Models
topic Eyetracking Signal Analys
Alzheimer Disease
Eye Movements
Cognitive Impairments
Linear Mixed-Effect Models
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.5
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Reading requires the integration of several central cognitive subsystems, ranging from attention and oculomotor control to word identification and language comprehension. Reading saccades and fixations contain information that can be correlated with word properties. When reading a sentence, the brain must decide where to direct the next saccade according to what has been read up to the actual fixation. In this process, the retrieval memory brings information about the current word features and attributes into working memory. According to this information, the prefrontal cortex predicts and triggers the next saccade. The frequency and cloze predictability of the fixated word, the preceding words and the upcoming ones affect when and where the eyes will move next. In this paper we present a diagnostic technique for early stage cognitive impairment detection by analyzing eye movements during reading proverbs. We performed a case-control study involving 20 patients with probable Alzheimer's disease and 40 age-matched, healthy control patients. The measurements were analyzed using linear mixed-effects models, revealing that eye movement behavior while reading can provide valuable information about whether a person is cognitively impaired. To the best of our knowledge, this is the first study using word-based properties, proverbs and linear mixed-effect models for identifying cognitive abnormalities.
Fil: Fernández, Gerardo Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
Fil: Castro, Liliana Raquel. Universidad Nacional del Sur. Departamento de Matemática; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
Fil: Schumacher, Marcela Silvana. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina
Fil: Agamennoni, Osvaldo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
description Reading requires the integration of several central cognitive subsystems, ranging from attention and oculomotor control to word identification and language comprehension. Reading saccades and fixations contain information that can be correlated with word properties. When reading a sentence, the brain must decide where to direct the next saccade according to what has been read up to the actual fixation. In this process, the retrieval memory brings information about the current word features and attributes into working memory. According to this information, the prefrontal cortex predicts and triggers the next saccade. The frequency and cloze predictability of the fixated word, the preceding words and the upcoming ones affect when and where the eyes will move next. In this paper we present a diagnostic technique for early stage cognitive impairment detection by analyzing eye movements during reading proverbs. We performed a case-control study involving 20 patients with probable Alzheimer's disease and 40 age-matched, healthy control patients. The measurements were analyzed using linear mixed-effects models, revealing that eye movement behavior while reading can provide valuable information about whether a person is cognitively impaired. To the best of our knowledge, this is the first study using word-based properties, proverbs and linear mixed-effect models for identifying cognitive abnormalities.
publishDate 2015
dc.date.none.fl_str_mv 2015-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/11826
Fernández, Gerardo Abel; Castro, Liliana Raquel; Schumacher, Marcela Silvana; Agamennoni, Osvaldo Enrique; Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading; Imperial College Press; Journal Of Integrative Neuroscience; 14; 1; 3-2015; 1-13
0219-6352
1757-448X
url http://hdl.handle.net/11336/11826
identifier_str_mv Fernández, Gerardo Abel; Castro, Liliana Raquel; Schumacher, Marcela Silvana; Agamennoni, Osvaldo Enrique; Diagnosis of mild Alzheimer disease through the analysis of eye movements during reading; Imperial College Press; Journal Of Integrative Neuroscience; 14; 1; 3-2015; 1-13
0219-6352
1757-448X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0219635215500090
info:eu-repo/semantics/altIdentifier/doi/10.1142/S0219635215500090
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Imperial College Press
publisher.none.fl_str_mv Imperial College Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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