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Semantic Feature Extraction Using SBERT for Dementia Detection
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In: Brain Sciences; Volume 12; Issue 2; Pages: 270 (2022)
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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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Neural dynamics of semantic categorization in semantic variant of primary progressive aphasia.
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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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What Do We Mean by Behavioral Disinhibition in Frontotemporal Dementia?
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What Do We Mean by Behavioral Disinhibition in Frontotemporal Dementia?
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“Hard to Say, Hard to Understand, Hard to Live”: Possible Associations between Neurologic Language Impairments and Suicide Risk
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In: Brain Sciences; Volume 11; Issue 12; Pages: 1594 (2021)
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Semantic Variant Primary Progressive Aphasia: Practical Recommendations for Treatment from 20 Years of Behavioural Research
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In: Brain Sciences ; Volume 11 ; Issue 12 (2021)
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The Free Association Task: Proposal of a Clinical Tool for Detecting Differential Profiles of Semantic Impairment in Semantic Dementia and Alzheimer’s Disease
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In: Medicina ; Volume 57 ; Issue 11 (2021)
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Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia
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Lage, Carmen; López-García, Sara; Bejanin, Alexandre; Kazimierczak, Martha; Aracil-Bolaños, Ignacio; Calvo-Córdoba, Alberto; Pozueta, Ana; García-Martínez, María; Fernández-Rodríguez, Andrea; Bravo-González, María; Jiménez-Bonilla, Julio; Banzo, Ignacio; Irure-Ventura, Juan; Pegueroles, Jordi; Illán-Gala, Ignacio; Fortea, Juan; Rodríguez-Rodríguez, Eloy; Lleó, Alberto; García-Cena, Cecilia E.; Sánchez-Juan, Pascual; Universitat Autònoma de Barcelona. - 2021
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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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Keyword:
Alzheimer's disease; Antisaccade; Biomarkers; Frontotemporal dementia; Oculomotor; Semantic dementia; Smooth pursuit
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URL: https://ddd.uab.cat/record/255304
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The White Matter Module-Hub Network of Semantics Revealed by Semantic Dementia
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In: ISSN: 0898-929X ; EISSN: 1530-8898 ; Journal of Cognitive Neuroscience ; https://hal.inria.fr/hal-02554966 ; Journal of Cognitive Neuroscience, Massachusetts Institute of Technology Press (MIT Press), 2020, pp.1-18. ⟨10.1162/jocn_a_01549⟩ (2020)
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When affect overlaps with concept: emotion recognition in semantic variant of primary progressive aphasia
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In: ISSN: 0006-8950 ; EISSN: 1460-2156 ; Brain - A Journal of Neurology ; https://www.hal.inserm.fr/inserm-02924278 ; Brain - A Journal of Neurology , Oxford University Press (OUP), In press, ⟨10.1093/brain/awaa313⟩ (2020)
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Deformation-based shape analysis of the hippocampus in the semantic variant of primary progressive aphasia and Alzheimer's disease.
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Regional and hemispheric susceptibility of the temporal lobe to FTLD-TDP type C pathology.
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Towards Understanding the Relationship between Language and Memory in Discourse
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The - weak - role of memory in tool use : Evidence from neurodegenerative diseases
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In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal.archives-ouvertes.fr/hal-02392362 ; Neuropsychologia, Elsevier, 2019, 129, pp.117-132. ⟨10.1016/j.neuropsychologia.2019.03.008⟩ (2019)
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Testing the therapeutic effects of transcranial direct current stimulation (tDCS) in semantic dementia: a double blind, sham controlled, randomized clinical trial
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In: ISSN: 1745-6215 ; Trials ; https://hal.sorbonne-universite.fr/hal-02407657 ; Trials, BioMed Central, 2019, 20 (1), pp.632. ⟨10.1186/s13063-019-3613-z⟩ (2019)
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Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity.
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In: Toller, Gianina; Yang, Winson FZ; Brown, Jesse A; Ranasinghe, Kamalini G; Shdo, Suzanne M; Kramer, Joel H; et al.(2019). Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity. NeuroImage. Clinical, 22, 101729. doi:10.1016/j.nicl.2019.101729. UCSF: Retrieved from: http://www.escholarship.org/uc/item/9qm527cr (2019)
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Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity.
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Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity.
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