% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @PHDTHESIS{Knobloch:1012049, author = {Knobloch, Simon}, othercontributors = {Habel, Ute and Reindl, Vanessa}, title = {{E}mpathy in schizophrenia: neural alterations during emotion recognition and affective sharing}, school = {Rheinisch-Westfälische Technische Hochschule Aachen}, type = {Dissertation}, address = {Aachen}, publisher = {RWTH Aachen University}, reportid = {RWTH-2025-04832}, pages = {1 Online-Ressource : Illustrationen}, year = {2025}, note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen University; Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025}, abstract = {Introduction: Deficits in emotion recognition and processing are characteristic for patients with schizophrenia [SCZ]. Methods: We targeted both emotion recognition and affective sharing, one in static and one in dynamic facial stimuli, during functional magnetic resonance imaging [fMRI] in 22 SCZ patients and 22 matched healthy controls [HC]. Current symptomatology and cognitive deficits were assessed as potential influencing factors. Results: Behaviorally, patients only showed a prolonged response time in age-discrimination trials. For emotion-processing trials, patients showed a difference in neural response, without an observable behavioral correlate. During emotion and age recognition in static stimuli, a reduced activation of the bilateral anterior cingulate cortex [ACC] and the right anterior insula [AI] emerged. In the affective sharing task, patients showed a reduced activation in the left and right caudate nucleus, right AI and inferior frontal gyrus [IFG], right cerebellum, and left thalamus, key areas of empathy. Discussion: We conclude that patients have deficits in complex visual information processing regardless of emotional content on a behavioral level and that these deficits coincide with aberrant neural activation patterns in emotion processing networks. The right AI as an integrator of these networks plays a key role in these aberrant neural activation patterns and, thus, is a promising candidate area for neurofeedback approaches.}, cin = {535500-2 ; 934910}, ddc = {610}, cid = {$I:(DE-82)535500-2_20140620$}, pnm = {GRK 2150 - GRK 2150: Neuronale Grundlagen der Modulation von Aggression und Impulsivität im Rahmen von Psychopathologie (269953372)}, pid = {G:(GEPRIS)269953372}, typ = {PUB:(DE-HGF)11}, doi = {10.18154/RWTH-2025-04832}, url = {https://publications.rwth-aachen.de/record/1012049}, }