@phdthesis{Saulin2023,
  author    = {Saulin, Anne Christin},
  title     = {Sustainability of empathy as driver for prosocial behavior and social closeness: insights from computational modelling and functional magnetic resonance imaging},
  doi       = {10.25972/OPUS-30555},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-305550},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Empathy, the act of sharing another person's affective state, is a ubiquitous driver for helping others and feeling close to them. These experiences are integral parts of human behavior and society. The studies presented in this dissertation aimed to investigate the sustainability and stability of social closeness and prosocial decision-making driven by empathy and other social motives. In this vein, four studies were conducted in which behavioral and neural indicators of empathy sustainability were identified using model-based functional magnetic resonance imaging (fMRI). Applying reinforcement learning, drift-diffusion modelling (DDM), and fMRI, the first two studies were designed to investigate the formation and sustainability of empathy-related social closeness (study 1) and examined how sustainably empathy led to prosocial behavior (study 2). Using DDM and fMRI, the last two studies investigated how empathy combined with reciprocity, the social norm to return a favor, on the one hand and empathy combined with the motive of outcome maximization on the other hand altered the behavioral and neural social decision process. The results showed that empathy-related social closeness and prosocial decision tendencies persisted even if empathy was rarely reinforced. The sustainability of these empathy effects was related to recalibration of the empathy-related social closeness learning signal (study 1) and the maintenance of a prosocial decision bias (study 2). The findings of study 3 showed that empathy boosted the processing of reciprocity-based social decisions, but not vice versa. Study 4 revealed that empathy-related decisions were modulated by the motive of outcome maximization, depending on individual differences in state empathy. Together, the studies strongly support the concept of empathy as a sustainable driver of social closeness and prosocial behavior.},
  subject      = {Einf{\"u}hlung <Motiv>},
  language  = {en}
}
@article{SaulinHornLotzeetal.2022,
  author    = {Saulin, Anne and Horn, Ulrike and Lotze, Martin and Kaiser, Jochen and Hein, Grit},
  title     = {The neural computation of human prosocial choices in complex motivational states},
  series = {NeuroImage},
  volume    = {247},
  journal   = {NeuroImage},
  doi       = {10.1016/j.neuroimage.2021.118827},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-265852},
  year      = {2022},
  abstract  = {Motives motivate human behavior. Most behaviors are driven by more than one motive, yet it is unclear how different motives interact and how such motive combinations affect the neural computation of the behaviors they drive. To answer this question, we induced two prosocial motives simultaneously (multi-motive condition) and separately (single motive conditions). After the different motive inductions, participants performed the same choice task in which they allocated points in favor of the other person (prosocial choice) or in favor of themselves (egoistic choice). We used fMRI to assess prosocial choice-related brain responses and drift diffusion modeling to specify how motive combinations affect individual components of the choice process. Our results showed that the combination of the two motives in the multi-motive condition increased participants' choice biases prior to the behavior itself. On the neural level, these changes in initial prosocial bias were associated with neural responses in the bilateral dorsal striatum. In contrast, the efficiency of the prosocial decision process was comparable between the multi-motive and the single-motive conditions. These findings provide insights into the computation of prosocial choices in complex motivational states, the motivational setting that drives most human behaviors .},
  language  = {en}
}