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...
| Autores: | , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:255304 |
| Acceso en línea: | https://ddd.uab.cat/record/255304 https://dx.doi.org/urn:doi:10.3389/fnagi.2020.603790 |
| Access Level: | acceso abierto |
| Palabra clave: | Oculomotor Alzheimer's disease Frontotemporal dementia Biomarkers Antisaccade Smooth pursuit Semantic dementia |
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| dc.title.none.fl_str_mv |
Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia |
| title |
Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia |
| spellingShingle |
Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia Lage, Carmen|||0000-0003-1703-121X Oculomotor Alzheimer's disease Frontotemporal dementia Biomarkers Antisaccade Smooth pursuit Semantic 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 |
| dc.creator.none.fl_str_mv |
Lage, Carmen|||0000-0003-1703-121X López-García, Sara Bejanin, Alexandre|||0000-0002-9958-0951 Kazimierczak, Martha Aracil-Bolaños, Ignacio|||0000-0002-8246-5025 Calvo-Córdoba, Alberto Pozueta, Ana García-Martínez, María Fernández-Rodríguez, Andrea Bravo-González, María Jiménez-Bonilla, Julio Banzo, Ignacio Irure-Ventura, Juan Pegueroles, Jordi|||0000-0002-3554-2446 Illán-Gala, Ignacio|||0000-0002-5418-2052 Fortea, Juan|||0000-0002-1340-638X Rodríguez-Rodríguez, Eloy|||0000-0001-7742-677X Lleó, Alberto|||0000-0002-2568-5478 García-Cena, Cecilia E. Sánchez-Juan, Pascual|||0000-0002-6081-8037 |
| author |
Lage, Carmen|||0000-0003-1703-121X |
| author_facet |
Lage, Carmen|||0000-0003-1703-121X López-García, Sara Bejanin, Alexandre|||0000-0002-9958-0951 Kazimierczak, Martha Aracil-Bolaños, Ignacio|||0000-0002-8246-5025 Calvo-Córdoba, Alberto Pozueta, Ana García-Martínez, María Fernández-Rodríguez, Andrea Bravo-González, María Jiménez-Bonilla, Julio Banzo, Ignacio Irure-Ventura, Juan Pegueroles, Jordi|||0000-0002-3554-2446 Illán-Gala, Ignacio|||0000-0002-5418-2052 Fortea, Juan|||0000-0002-1340-638X Rodríguez-Rodríguez, Eloy|||0000-0001-7742-677X Lleó, Alberto|||0000-0002-2568-5478 García-Cena, Cecilia E. Sánchez-Juan, Pascual|||0000-0002-6081-8037 |
| author_role |
author |
| author2 |
López-García, Sara Bejanin, Alexandre|||0000-0002-9958-0951 Kazimierczak, Martha Aracil-Bolaños, Ignacio|||0000-0002-8246-5025 Calvo-Córdoba, Alberto Pozueta, Ana García-Martínez, María Fernández-Rodríguez, Andrea Bravo-González, María Jiménez-Bonilla, Julio Banzo, Ignacio Irure-Ventura, Juan Pegueroles, Jordi|||0000-0002-3554-2446 Illán-Gala, Ignacio|||0000-0002-5418-2052 Fortea, Juan|||0000-0002-1340-638X Rodríguez-Rodríguez, Eloy|||0000-0001-7742-677X Lleó, Alberto|||0000-0002-2568-5478 García-Cena, Cecilia E. Sánchez-Juan, Pascual|||0000-0002-6081-8037 |
| author2_role |
author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Universitat Autònoma de Barcelona |
| dc.subject.none.fl_str_mv |
Oculomotor Alzheimer's disease Frontotemporal dementia Biomarkers Antisaccade Smooth pursuit Semantic dementia |
| topic |
Oculomotor Alzheimer's disease Frontotemporal dementia Biomarkers Antisaccade Smooth pursuit Semantic dementia |
| 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. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2 2021-01-01 2021 2021-01-01 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
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article |
| dc.identifier.none.fl_str_mv |
https://ddd.uab.cat/record/255304 https://dx.doi.org/urn:doi:10.3389/fnagi.2020.603790 |
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https://ddd.uab.cat/record/255304 https://dx.doi.org/urn:doi:10.3389/fnagi.2020.603790 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
Instituto de Salud Carlos III https://doi.org/10.13039/501100004587 PI08/0139 Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 PI12/02288 Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 PI16/01652 Ministerio de Ciencia e Innovación https://doi.org/10.13039/501100004837 PI11/03028 Instituto de Salud Carlos III https://doi.org/10.13039/501100004587 CM17/00074 |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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Universitat Autònoma de Barcelona |
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Dipòsit Digital de Documents de la UAB |
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Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal DementiaLage, Carmen|||0000-0003-1703-121XLópez-García, SaraBejanin, Alexandre|||0000-0002-9958-0951Kazimierczak, MarthaAracil-Bolaños, Ignacio|||0000-0002-8246-5025Calvo-Córdoba, AlbertoPozueta, AnaGarcía-Martínez, MaríaFernández-Rodríguez, AndreaBravo-González, MaríaJiménez-Bonilla, JulioBanzo, IgnacioIrure-Ventura, JuanPegueroles, Jordi|||0000-0002-3554-2446Illán-Gala, Ignacio|||0000-0002-5418-2052Fortea, Juan|||0000-0002-1340-638XRodríguez-Rodríguez, Eloy|||0000-0001-7742-677XLleó, Alberto|||0000-0002-2568-5478García-Cena, Cecilia E.Sánchez-Juan, Pascual|||0000-0002-6081-8037OculomotorAlzheimer's diseaseFrontotemporal dementiaBiomarkersAntisaccadeSmooth pursuitSemantic dementiaOculomotor 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.Universitat Autònoma de Barcelona 22021-01-0120212021-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/255304https://dx.doi.org/urn:doi:10.3389/fnagi.2020.603790reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengInstituto de Salud Carlos III https://doi.org/10.13039/501100004587 PI08/0139Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 PI12/02288Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 PI16/01652Ministerio de Ciencia e Innovación https://doi.org/10.13039/501100004837 PI11/03028Instituto de Salud Carlos III https://doi.org/10.13039/501100004587 CM17/00074open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2553042026-06-06T12:50:31Z |
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15,300724 |