Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia
Oculomotor behavior can provide insight into the integrity of widespread cortical networks, which may contribute to the differential diagnosis between Alzheimer's disease and frontotemporal dementia. Three groups of patients with Alzheimer's disease, behavioral variant of frontotemporal de...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2021-02-01
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Series: | Frontiers in Aging Neuroscience |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2020.603790/full |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carmen Lage Carmen Lage Sara López-García Alexandre Bejanin Alexandre Bejanin Martha Kazimierczak Martha Kazimierczak Ignacio Aracil-Bolaños Alberto Calvo-Córdoba Ana Pozueta Ana Pozueta María García-Martínez María García-Martínez Andrea Fernández-Rodríguez María Bravo-González Julio Jiménez-Bonilla Ignacio Banzo Juan Irure-Ventura Jordi Pegueroles Jordi Pegueroles Ignacio Illán-Gala Ignacio Illán-Gala Juan Fortea Juan Fortea Eloy Rodríguez-Rodríguez Eloy Rodríguez-Rodríguez Alberto Lleó-Bisa Alberto Lleó-Bisa Cecilia E. García-Cena Pascual Sánchez-Juan Pascual Sánchez-Juan |
spellingShingle |
Carmen Lage Carmen Lage Sara López-García Alexandre Bejanin Alexandre Bejanin Martha Kazimierczak Martha Kazimierczak Ignacio Aracil-Bolaños Alberto Calvo-Córdoba Ana Pozueta Ana Pozueta María García-Martínez María García-Martínez Andrea Fernández-Rodríguez María Bravo-González Julio Jiménez-Bonilla Ignacio Banzo Juan Irure-Ventura Jordi Pegueroles Jordi Pegueroles Ignacio Illán-Gala Ignacio Illán-Gala Juan Fortea Juan Fortea Eloy Rodríguez-Rodríguez Eloy Rodríguez-Rodríguez Alberto Lleó-Bisa Alberto Lleó-Bisa Cecilia E. García-Cena Pascual Sánchez-Juan Pascual Sánchez-Juan Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia Frontiers in Aging Neuroscience oculomotor Alzheimer's disease frontotemporal dementia biomarkers antisaccade smooth pursuit |
author_facet |
Carmen Lage Carmen Lage Sara López-García Alexandre Bejanin Alexandre Bejanin Martha Kazimierczak Martha Kazimierczak Ignacio Aracil-Bolaños Alberto Calvo-Córdoba Ana Pozueta Ana Pozueta María García-Martínez María García-Martínez Andrea Fernández-Rodríguez María Bravo-González Julio Jiménez-Bonilla Ignacio Banzo Juan Irure-Ventura Jordi Pegueroles Jordi Pegueroles Ignacio Illán-Gala Ignacio Illán-Gala Juan Fortea Juan Fortea Eloy Rodríguez-Rodríguez Eloy Rodríguez-Rodríguez Alberto Lleó-Bisa Alberto Lleó-Bisa Cecilia E. García-Cena Pascual Sánchez-Juan Pascual Sánchez-Juan |
author_sort |
Carmen Lage |
title |
Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia |
title_short |
Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia |
title_full |
Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia |
title_fullStr |
Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia |
title_full_unstemmed |
Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia |
title_sort |
distinctive oculomotor behaviors in alzheimer's disease and frontotemporal dementia |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Aging Neuroscience |
issn |
1663-4365 |
publishDate |
2021-02-01 |
description |
Oculomotor behavior can provide insight into the integrity of widespread cortical networks, which may contribute to the differential diagnosis between Alzheimer's disease and frontotemporal dementia. Three groups of patients with Alzheimer's disease, behavioral variant of frontotemporal dementia (bvFTD) and semantic variant of primary progressive aphasia (svPPA) and a sample of cognitively unimpaired elders underwent an eye-tracking evaluation. All participants in the discovery sample, including controls, had a biomarker-supported diagnosis. Oculomotor correlates of neuropsychology and brain metabolism evaluated with 18F-FDG PET were explored. Machine-learning classification algorithms were trained for the differentiation between Alzheimer's disease, bvFTD and controls. A total of 93 subjects (33 Alzheimer's disease, 24 bvFTD, seven svPPA, and 29 controls) were included in the study. Alzheimer's disease was the most impaired group in all tests and displayed specific abnormalities in some visually-guided saccade parameters, as pursuit error and horizontal prosaccade latency, which are theoretically closely linked to posterior brain regions. BvFTD patients showed deficits especially in the most cognitively demanding tasks, the antisaccade and memory saccade tests, which require a fine control from frontal lobe regions. SvPPA patients performed similarly to controls in most parameters except for a lower number of correct memory saccades. Pursuit error was significantly correlated with cognitive measures of constructional praxis and executive function and metabolism in right posterior middle temporal gyrus. The classification algorithms yielded an area under the curve of 97.5% for the differentiation of Alzheimer's disease vs. controls, 96.7% for bvFTD vs. controls, and 92.5% for Alzheimer's disease vs. bvFTD. In conclusion, patients with Alzheimer's disease, bvFTD and svPPA exhibit differentiating oculomotor patterns which reflect the characteristic neuroanatomical distribution of pathology of each disease, and therefore its assessment can be useful in their diagnostic work-up. Machine learning approaches can facilitate the applicability of eye-tracking in clinical practice. |
topic |
oculomotor Alzheimer's disease frontotemporal dementia biomarkers antisaccade smooth pursuit |
url |
https://www.frontiersin.org/articles/10.3389/fnagi.2020.603790/full |
work_keys_str_mv |
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doaj-fa2e5e53d2c94460b9c6c5dac4431b262021-02-04T15:13:49ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652021-02-011210.3389/fnagi.2020.603790603790Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal DementiaCarmen Lage0Carmen Lage1Sara López-García2Alexandre Bejanin3Alexandre Bejanin4Martha Kazimierczak5Martha Kazimierczak6Ignacio Aracil-Bolaños7Alberto Calvo-Córdoba8Ana Pozueta9Ana Pozueta10María García-Martínez11María García-Martínez12Andrea Fernández-Rodríguez13María Bravo-González14Julio Jiménez-Bonilla15Ignacio Banzo16Juan Irure-Ventura17Jordi Pegueroles18Jordi Pegueroles19Ignacio Illán-Gala20Ignacio Illán-Gala21Juan Fortea22Juan Fortea23Eloy Rodríguez-Rodríguez24Eloy Rodríguez-Rodríguez25Alberto Lleó-Bisa26Alberto Lleó-Bisa27Cecilia E. García-Cena28Pascual Sánchez-Juan29Pascual Sánchez-Juan30Institute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainInstitute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autonoma de Barcelona, Barcelona, SpainInstitute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autonoma de Barcelona, Barcelona, SpainEscuela Técnica Superior de Ingeniería y Diseño Industrial – Centre for Automation and Robotics, Technical University of Madrid (UPM) – Consejo Superior de Investigaciones Científicas and Aura Innovative Robotics SL, Madrid, SpainInstitute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainInstitute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainInstitute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainInstitute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainDepartment of Nuclear Medicine, Marqués de Valdecilla University Hospital, Santander, SpainDepartment of Nuclear Medicine, Marqués de Valdecilla University Hospital, Santander, SpainDepartment of Immunology, Marqués de Valdecilla University Hospital, Santander, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autonoma de Barcelona, Barcelona, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autonoma de Barcelona, Barcelona, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autonoma de Barcelona, Barcelona, SpainInstitute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autonoma de Barcelona, Barcelona, SpainEscuela Técnica Superior de Ingeniería y Diseño Industrial – Centre for Automation and Robotics, Technical University of Madrid (UPM) – Consejo Superior de Investigaciones Científicas and Aura Innovative Robotics SL, Madrid, SpainInstitute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital, Santander, SpainCentro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, SpainOculomotor behavior can provide insight into the integrity of widespread cortical networks, which may contribute to the differential diagnosis between Alzheimer's disease and frontotemporal dementia. Three groups of patients with Alzheimer's disease, behavioral variant of frontotemporal dementia (bvFTD) and semantic variant of primary progressive aphasia (svPPA) and a sample of cognitively unimpaired elders underwent an eye-tracking evaluation. All participants in the discovery sample, including controls, had a biomarker-supported diagnosis. Oculomotor correlates of neuropsychology and brain metabolism evaluated with 18F-FDG PET were explored. Machine-learning classification algorithms were trained for the differentiation between Alzheimer's disease, bvFTD and controls. A total of 93 subjects (33 Alzheimer's disease, 24 bvFTD, seven svPPA, and 29 controls) were included in the study. Alzheimer's disease was the most impaired group in all tests and displayed specific abnormalities in some visually-guided saccade parameters, as pursuit error and horizontal prosaccade latency, which are theoretically closely linked to posterior brain regions. BvFTD patients showed deficits especially in the most cognitively demanding tasks, the antisaccade and memory saccade tests, which require a fine control from frontal lobe regions. SvPPA patients performed similarly to controls in most parameters except for a lower number of correct memory saccades. Pursuit error was significantly correlated with cognitive measures of constructional praxis and executive function and metabolism in right posterior middle temporal gyrus. The classification algorithms yielded an area under the curve of 97.5% for the differentiation of Alzheimer's disease vs. controls, 96.7% for bvFTD vs. controls, and 92.5% for Alzheimer's disease vs. bvFTD. In conclusion, patients with Alzheimer's disease, bvFTD and svPPA exhibit differentiating oculomotor patterns which reflect the characteristic neuroanatomical distribution of pathology of each disease, and therefore its assessment can be useful in their diagnostic work-up. Machine learning approaches can facilitate the applicability of eye-tracking in clinical practice.https://www.frontiersin.org/articles/10.3389/fnagi.2020.603790/fulloculomotorAlzheimer's diseasefrontotemporal dementiabiomarkersantisaccadesmooth pursuit |