Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia


Por: Lage, C, Lopez-Garcia, S, Bejanin, A, Kazimierczak, M, Aracil-Bolanos, I, Calvo-Cordoba, A, Pozueta, A, Garcia-Martinez, M, Fernandez-Rodriguez, A, Bravo-Gonzalez, M, Jimenez-Bonilla, J, Banzo, I, Irure-Ventura, J, Pegueroles, J, Illan-Gala, I, Fortea, J, Rodriguez-Rodriguez, E, Lleo-Bisa, A, Garcia-Cena, CE, Sanchez-Juan, P

Publicada: 4 feb 2021
Resumen:
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.

Filiaciones:
Lage, C:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

Lopez-Garcia, S:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

Bejanin, A:
 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

 Univ Autonoma Barcelona, Dept Neurol, St Pau Memory Unit, Hosp Santa Creu & St Pau,Biomed Res Inst St Pau I, Barcelona, Spain

Kazimierczak, M:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

Aracil-Bolanos, I:
 Univ Autonoma Barcelona, Dept Neurol, St Pau Memory Unit, Hosp Santa Creu & St Pau,Biomed Res Inst St Pau I, Barcelona, Spain

Calvo-Cordoba, A:
 Tech Univ Madrid UPM, Ctr Automat & Robot, Escuela Tecn Super Ingn & Diseno Ind, Consejo Super Invest Cient & Aura Innovat Robot S, Madrid, Spain

Pozueta, A:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

Garcia-Martinez, M:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

Fernandez-Rodriguez, A:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

Bravo-Gonzalez, M:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

Jimenez-Bonilla, J:
 Marques de Valdecilla Univ Hosp, Dept Nucl Med, Santander, Spain

Banzo, I:
 Marques de Valdecilla Univ Hosp, Dept Nucl Med, Santander, Spain

Irure-Ventura, J:
 Marques de Valdecilla Univ Hosp, Dept Immunol, Santander, Spain

Pegueroles, J:
 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

 Univ Autonoma Barcelona, Dept Neurol, St Pau Memory Unit, Hosp Santa Creu & St Pau,Biomed Res Inst St Pau I, Barcelona, Spain

Illan-Gala, I:
 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

 Univ Autonoma Barcelona, Dept Neurol, St Pau Memory Unit, Hosp Santa Creu & St Pau,Biomed Res Inst St Pau I, Barcelona, Spain

Fortea, J:
 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

 Univ Autonoma Barcelona, Dept Neurol, St Pau Memory Unit, Hosp Santa Creu & St Pau,Biomed Res Inst St Pau I, Barcelona, Spain

Rodriguez-Rodriguez, E:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

Lleo-Bisa, A:
 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain

 Univ Autonoma Barcelona, Dept Neurol, St Pau Memory Unit, Hosp Santa Creu & St Pau,Biomed Res Inst St Pau I, Barcelona, Spain

Garcia-Cena, CE:
 Tech Univ Madrid UPM, Ctr Automat & Robot, Escuela Tecn Super Ingn & Diseno Ind, Consejo Super Invest Cient & Aura Innovat Robot S, Madrid, Spain

Sanchez-Juan, P:
 Univ Cantabria, Inst Res Marques de Valdecilla IDIVAL, Santander, Spain

 Marques de Valdecilla Univ Hosp, Dept Neurol, Santander, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain
ISSN: 16634365





Frontiers in Aging Neuroscience
Editorial
FRONTIERS MEDIA SA, AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND, Suiza
Tipo de documento: Article
Volumen: 12 Número:
Páginas:
WOS Id: 000619196200001
ID de PubMed: 33613262
imagen Green Published, gold

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