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      Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia

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          Abstract

          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.

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          Most cited references52

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          "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

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            The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

            The National Institute on Aging and the Alzheimer's Association charged a workgroup with the task of revising the 1984 criteria for Alzheimer's disease (AD) dementia. The workgroup sought to ensure that the revised criteria would be flexible enough to be used by both general healthcare providers without access to neuropsychological testing, advanced imaging, and cerebrospinal fluid measures, and specialized investigators involved in research or in clinical trial studies who would have these tools available. We present criteria for all-cause dementia and for AD dementia. We retained the general framework of probable AD dementia from the 1984 criteria. On the basis of the past 27 years of experience, we made several changes in the clinical criteria for the diagnosis. We also retained the term possible AD dementia, but redefined it in a manner more focused than before. Biomarker evidence was also integrated into the diagnostic formulations for probable and possible AD dementia for use in research settings. The core clinical criteria for AD dementia will continue to be the cornerstone of the diagnosis in clinical practice, but biomarker evidence is expected to enhance the pathophysiological specificity of the diagnosis of AD dementia. Much work lies ahead for validating the biomarker diagnosis of AD dementia. Copyright © 2011. Published by Elsevier Inc.
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              Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia.

              Based on the recent literature and collective experience, an international consortium developed revised guidelines for the diagnosis of behavioural variant frontotemporal dementia. The validation process retrospectively reviewed clinical records and compared the sensitivity of proposed and earlier criteria in a multi-site sample of patients with pathologically verified frontotemporal lobar degeneration. According to the revised criteria, 'possible' behavioural variant frontotemporal dementia requires three of six clinically discriminating features (disinhibition, apathy/inertia, loss of sympathy/empathy, perseverative/compulsive behaviours, hyperorality and dysexecutive neuropsychological profile). 'Probable' behavioural variant frontotemporal dementia adds functional disability and characteristic neuroimaging, while behavioural variant frontotemporal dementia 'with definite frontotemporal lobar degeneration' requires histopathological confirmation or a pathogenic mutation. Sixteen brain banks contributed cases meeting histopathological criteria for frontotemporal lobar degeneration and a clinical diagnosis of behavioural variant frontotemporal dementia, Alzheimer's disease, dementia with Lewy bodies or vascular dementia at presentation. Cases with predominant primary progressive aphasia or extra-pyramidal syndromes were excluded. In these autopsy-confirmed cases, an experienced neurologist or psychiatrist ascertained clinical features necessary for making a diagnosis according to previous and proposed criteria at presentation. Of 137 cases where features were available for both proposed and previously established criteria, 118 (86%) met 'possible' criteria, and 104 (76%) met criteria for 'probable' behavioural variant frontotemporal dementia. In contrast, 72 cases (53%) met previously established criteria for the syndrome (P < 0.001 for comparison with 'possible' and 'probable' criteria). Patients who failed to meet revised criteria were significantly older and most had atypical presentations with marked memory impairment. In conclusion, the revised criteria for behavioural variant frontotemporal dementia improve diagnostic accuracy compared with previously established criteria in a sample with known frontotemporal lobar degeneration. Greater sensitivity of the proposed criteria may reflect the optimized diagnostic features, less restrictive exclusion features and a flexible structure that accommodates different initial clinical presentations. Future studies will be needed to establish the reliability and specificity of these revised diagnostic guidelines.
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                Author and article information

                Contributors
                Journal
                Front Aging Neurosci
                Front Aging Neurosci
                Front. Aging Neurosci.
                Frontiers in Aging Neuroscience
                Frontiers Media S.A.
                1663-4365
                04 February 2021
                2020
                : 12
                : 603790
                Affiliations
                [1] 1Institute for Research Marqués de Valdecilla (IDIVAL), University of Cantabria and Department of Neurology, Marqués de Valdecilla University Hospital , Santander, Spain
                [2] 2Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED) , Madrid, Spain
                [3] 3Sant 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, Spain
                [4] 4Escuela 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, Spain
                [5] 5Department of Nuclear Medicine, Marqués de Valdecilla University Hospital , Santander, Spain
                [6] 6Department of Immunology, Marqués de Valdecilla University Hospital , Santander, Spain
                Author notes

                Edited by: Ana B. Vivas, International Faculty of the University of Sheffield, Greece

                Reviewed by: Sebastian Crutch, University College London, United Kingdom; Manousos A. Klados, International Faculty of the University of Sheffield, Greece

                *Correspondence: Carmen Lage clage@ 123456idival.org
                Article
                10.3389/fnagi.2020.603790
                7891179
                33613262
                64e0704e-214a-46ab-aa67-7cf6e965fc05
                Copyright © 2021 Lage, López-García, Bejanin, Kazimierczak, Aracil-Bolaños, Calvo-Córdoba, Pozueta, García-Martínez, Fernández-Rodríguez, Bravo-González, Jiménez-Bonilla, Banzo, Irure-Ventura, Pegueroles, Illán-Gala, Fortea, Rodríguez-Rodríguez, Lleó-Bisa, García-Cena and Sánchez-Juan.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 September 2020
                : 28 December 2020
                Page count
                Figures: 6, Tables: 7, Equations: 3, References: 52, Pages: 20, Words: 12583
                Funding
                Funded by: Instituto de Salud Carlos III 10.13039/501100004587
                Award ID: CM17/00074
                Award ID: PI08/0139
                Award ID: PI12/02288,
                Award ID: PI16/01652
                Funded by: EU Joint Programme – Neurodegenerative Disease Research 10.13039/100013278
                Award ID: DEMTEST PI11/03028
                Funded by: Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas 10.13039/501100015496
                Funded by: Siemens Healthineers 10.13039/501100011699
                Funded by: Global Brain Health Institute 10.13039/100015442
                Categories
                Neuroscience
                Original Research

                Neurosciences
                oculomotor,alzheimer's disease,frontotemporal dementia,biomarkers,antisaccade,smooth pursuit,semantic dementia

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