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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 11 to 14 of 14 (0.082 seconds)| 11 |
Vers une universalité des émotions : analyse de la capacité émotionnelle des vertébrés et invertébrésAmzallag, Eva 12 1900 (has links)
No description available.
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Frontal Alpha Asymmetry Interaction with an Experimental Story EEG Brain-Computer InterfaceClaudia M Krogmeier (6632114) 03 November 2022 (has links)
<p> Although interest in brain-computer interfaces (BCIs) from researchers and consumers continues to increase, many BCIs lack the complexity and imaginative properties thought to guide users towards successful brain activity modulation. In this research, an experimental story brain-computer interface (ES-BCI) was developed, with which users could interact using cognitive strategies; specifically, thinking about the story and engaging with the main character of the story through their thought processes. In this system, the user’s frontal alpha asymmetry (FAA) measured with electroencephalography (EEG) was linearly mapped to the color saturation of the main character in the story. Therefore, the color saturation of the main character increased as FAA recorded from the participant’s brain activity increased above the FAA threshold required to receive visual feedback. A user-friendly experimental design was implemented using a comfortable EEG device and short neurofeedback (NF) training protocol. Eight distinct story scenes, each with a View and Engage NF component were created, and are referred to as blocks. In this system, seven out of 19 participants successfully increased FAA during the course of the study, for a total of ten successful blocks out of 152. Results concerning left (Lact) and right (Ract) prefrontal cortical activity contributions to FAA in both successful and unsuccessful blocks were examined to understand FAA measurements in greater detail. Additionally, electrodermal activity data (EDA) and self-reported questionnaire data were investigated to understand the user experience with this ES-BCI. Results suggest the potential of ES-BCI environments for engaging users and allowing for FAA modulation. New research directions for artistic BCIs investigating affect are discussed. </p>
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Dynamiques de connectivité cérébrale fonctionnelle associées aux fluctuations journalières des états affectifsRacicot, Jeanne 12 1900 (has links)
Les affects, émotions et humeurs sont des processus complexes dont le fonctionnement précis
échappe toujours à la neuroscience affective. Un récent mouvement des études IRMf s’est tourné
vers la recherche d’effets aux niveaux inter- et intra-individuels en raison du manque
d’applicabilité individuelle des résultats provenant de moyennes de groupes basées sur des
données transversales. En particulier, la recherche intra-individuelle permet l’étude de liens
directs entre l’affectivité et la connectivité chez de mêmes individus à travers le temps.
De précédentes études en IRMf rapportent ce type associations chez un unique participant, notre
objectif a été d’étudier les effets intra-individuels communs pour un groupe d’individus. Nous
avons utilisé le jeu de données Day2day, composé de 40 à 50 sessions pour 6 participants, chaque
session incluant des données d’IRMf au repos ainsi que d’auto-évaluations des états affectifs.
Nous avons analysé la relation entre l’affectivité et la connectivité fonctionnelle entre des régions
cérébrales précédemment liées aux émotions et affects à l’aide de régressions linéaires mixtes
multivariées.
Nos modèles ont isolé des patrons de connectivité communs et généralisables liés aux variations
intra-individuelles de l’affectivité observées au cours de plusieurs semaines et mois. Ces modèles
impliquaient particulièrement l’amygdale et l’insula. Nos résultats ouvrent la possibilité de
reproduire de tels modèles sur des jeux de données plus larges ainsi qu’à évaluer l’hétérogénéité
entre sujets au-delà des effets moyens. La caractérisation de tels processus neurobiologiques
pourrait être d’une grande utilité en clinique comme biomarqueur transdiagnostique de l’état
affectif ou potentielle cible thérapeutique. / Affects, emotions and moods are complex processes, the precise functioning of which still eludes
affective neuroscience. A recent movement in fMRI has turned to research of effects at the inter- and intra-individual level in response to the lack of individual-level applicability of results from
cross-sectional group mean studies. In particular, intra-individual research enables the study of
direct links between affective states and underlying connectivity in individuals across time.
Previous fMRI studies have described these associations in a single participant, our objective was
to find shared intraindividual effects across multiple subjects. We have used the Day2day dataset,
comprising 40 to 50 sessions for six participants, each session including data from resting-state
fMRI scans and self-report measures of state affectivity. We have investigated the relationship
between affectivity and connectivity in brain regions linked to emotions and affects using
multivariate mixed linear analysis.
Our models have isolated common and generalizable patterns of connectivity linked to variations
in affectivity observed over multiple weeks and months. These models involved mainly the
amygdala and insula. Our results incentivize the re-creation of such modelsin larger datasets, and
to assess heterogeneity beyond group mean effects. The characterization of such neurobiological
processes could be of great use in a clinical setting as a transdiagnostic biomarker or as a potential
therapeutic target.
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The Emotional Economy of Sex, Fear & Violence / On Politics & Emotion in Occidental Media DiscoursesBartscherer, Sheena Fee 20 June 2024 (has links)
Die hier vorgelegte kumulative Dissertation befasst sich mit der Frage des emotionalen
Sprachgebrauchs als Teil der öffentlichen politischen Kommunikation in abendländischen
Demokratien. Durch die Anwendung etablierter Erkenntnisse und Ansätze aus den Bereichen der affektiven Neurowissenschaften und der Neurolinguistik zu emotionalem Sprachgebrauch, wird versucht neue Perspektiven und Analysetechniken für die Sozial- und Politikwissenschaften herauszuarbeiten, die sich mit der rhetorischen Gestaltung und Funktion öffentlicher politischer Kommunikation befassen. Im Rahmen dieser Bemühungen habe ich einen sequenziellen Mixed-Methods-Ansatz entwickelt, eine neopragmatische Diskursanalyse (NPDA), die auf der bestehenden Methodologie der Pragmatischen Soziologie der Kritik (PSC) basiert. Diese Methode ermöglicht es, die Argumentationsstrategien und -muster von Akteuren abzuleiten und ihre Verwendung von hochgradig erregender emotionaler Sprache (via HAEWWörterbuch) nachzuzeichnen. In zwei separaten Fallstudien habe ich diesen neu entwickelten Ansatz angewendet, um (1) die US-Präsidentschaftswahlkämpfe 2016 von Trump und Clinton
zu analysieren sowie (2) öffentliche Reden britischer Parteiführer:innen der Conservative und
der Labour Party von 1900 bis 2019. Ich habe festgestellt, dass emotionale Sprache in der
gesamten untersuchten (politischen) Kommunikation vorkommt und dass sie hauptsächlich
eine Highlighter-Funktion in den Argumentationen der Akteure einnimmt. Politische
Kommunikation, als eine spezifische Ausformung menschlicher Kommunikation, scheint
immer ‚emotional‘ zu sein. / This cumulative dissertation addresses the issues of emotive language use as part of
public political communication in occidental democracies. By applying established
findings and approaches from the fields of affective neuroscience and neurolinguistics on emotive language use, the here presented dissertation intends to offer new perspectives and analytical techniques for the social and political sciences, concerned with understanding the rhetorical design and function of public political communication. As part of these efforts, I developed a sequential mixed methods approach, a neopragmatist discourse analysis (NPDA), which is based on the existing methodology associated with the Pragmatic Sociology of Critique (PSC). This method allows for the deduction of actors’ argumentative strategies and patterns and to detect their use of highly arousing emotive language (via HAEW dictionary). In two separate case studies I applied this newly developed approach, analysing (1) the 2016 U.S. presidential election campaigns of Trump and Clinton as well as (2) public speeches of British party leaders from the Conservative and Labour Party from 1900 – 2019. I found that emotive language appeared throughout all analysed (political) communication and that it mainly served a highlighting function within actors’ argumentations. Political communication, as a specific form of human communication, seems to always be ‘emotional’.
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