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<dc:title xml:lang="fr">Phénotypage multimodal de la DFT comportementale et des troubles psychiatriques tardifs : marqueurs neuropsychologiques, langagiers et prosodiques</dc:title>
<dcterms:alternative xml:lang="en">Multimodal phenotyping of behavioral FTD and late-onset psychiatric disorders : neuropsychological, linguistic, and prosodic markers</dcterms:alternative>
<dc:subject xml:lang="fr">Dégénérescence frontotemporale</dc:subject>
<dc:subject xml:lang="fr">Troubles psychiatriques tardifs</dc:subject>
<dc:subject xml:lang="fr">Neuropsychologie</dc:subject>
<dc:subject xml:lang="fr">Langage</dc:subject>
<dc:subject xml:lang="fr">Prosodie</dc:subject>
<dc:subject xml:lang="fr">Affect</dc:subject>
<dc:subject xml:lang="en">Frontoteporal degeneration</dc:subject>
<dc:subject xml:lang="en">Late-onset psychiatric disorders</dc:subject>
<dc:subject xml:lang="en">Neuropsychology</dc:subject>
<dc:subject xml:lang="en">Language</dc:subject>
<dc:subject xml:lang="en">Prosody</dc:subject>
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<tef:elementdEntree autoriteExterne="033202702" autoriteSource="Sudoc">Neuropsychologie clinique</tef:elementdEntree>
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<tef:elementdEntree autoriteExterne="033207577" autoriteSource="Sudoc">Neurolinguistique</tef:elementdEntree>
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<tef:elementdEntree autoriteExterne="029658837" autoriteSource="Sudoc">Linguistique cognitive</tef:elementdEntree>
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<tef:elementdEntree autoriteExterne="154376760" autoriteSource="Sudoc.FMesh">Démence frontotemporale</tef:elementdEntree>
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<tef:elementdEntree autoriteExterne="040747050" autoriteSource="Sudoc.FMesh">Neuropsychologie</tef:elementdEntree>
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<dcterms:abstract xml:lang="fr">Introduction La variante comportementale des dégénérescences frontotemporales (DFTc) et les troubles psychiatriques primaires (TPP) présentent des tableaux cliniques similaires, compliquant leur différenciation. Afin de mieux les distinguer, cette thèse mobilise un phénotypage multimodal et intégratif pour identifier des marqueurs neuropsychologiques, langagiers et prosodiques. Méthode Ce travail repose sur quatre études complémentaires : une comparaison neuropsychologique quantitative et qualitative, un phénotypage linguistique multi-niveaux, une analyse de la prosodie affective via la fréquence fondamentale de la voix, et une modélisation par intelligence artificielle des dimensions affectives vocales afin d'identifier des signatures spécifiques à chaque maladie. Résultats Nos résultats montrent que DFTc et TPP partagent des altérations neuropsychologiques, langagières et prosodiques, tout en présentant des profils spécifiques. L'analyse intégrative révèle des interactions cognitives, socio-cognitives et affectives distinctes, reflétant des configurations cognitives imbriquées propres à chaque groupe, permettant de mieux comprendre la nature de leur troubles. Discussion Nos résultats questionnent les critères neuropsychologiques de DFTc, de même que la séparation traditionnelle des domaines cognitifs en sciences cognitives : les altérations observées reflétant l'interaction dynamique de systèmes imbriqués, expliquant chevauchements et spécificités entre DFTc et TPP. Les travaux futurs devront intégrer des analyses directes du langage naturel et considérer les déterminants socio-démographiques.</dcterms:abstract>
<dcterms:abstract xml:lang="en">Introduction The behavioral variant of frontotemporal degenerations (bvFTD) and primary psychiatric disorders (PPD) present similar clinical profiles, complicating their differentiation. To better distinguish them, this thesis employs a multimodal and integrative phenotyping approach to identify neuropsychological, linguistic, and prosodic markers. Method This work is based on four complementary studies: a quantitative and qualitative neuropsychological comparison, a multi-level linguistic phenotyping, an analysis of affective prosody through the fundamental frequency of the voice, and an artificial intelligence modeling of vocal affective dimensions in order to identify disease-specific signatures. Results Our results show that bvFTD and PPD share neuropsychological, linguistic, and prosodic alterations, while also exhibiting specific profiles. Integrative analysis reveals distinct cognitive, socio-cognitive, and affective interactions, reflecting embedded cognitive configurations unique to each group, allowing a better understanding of the nature of their disorders. Discussion Our results challenge the neuropsychological criteria of bvFTD, as well as the traditional separation of cognitive domains in cognitive science: the observed alterations reflect the dynamic interaction of embedded systems, explaining overlaps and specificities between bvFTD and PPD. Future work should integrate direct analyses of natural language and take socio-demographic factors into account.</dcterms:abstract>
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