Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  The neural computation of human prosocial choices in complex motivational states

Saulin, A., Horn, U., Lotze, M., Kaiser, J., & Hein, G. (2022). The neural computation of human prosocial choices in complex motivational states. NeuroImage, 247: 118827. doi:10.1016/j.neuroimage.2021.118827.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Saulin_2022.pdf (Verlagsversion), 2MB
Name:
Saulin_2022.pdf
Beschreibung:
-
OA-Status:
Gold
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Saulin, Anne1, 2, Autor
Horn, Ulrike3, Autor           
Lotze, Martin4, Autor
Kaiser, Jochen2, Autor
Hein, Grit1, 2, Autor
Affiliations:
1Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Germany, ou_persistent22              
2Institute of Medical Psychology, Goethe University, Frankfurt, Germany, ou_persistent22              
3Max Planck Research Group Pain Perception, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2497695              
4Center for Diagnostic Radiology and Neuroradiology, Ernst Moritz Arndt University of Greifswald, Germany, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: Motivation; Social decision-making; Hierarchical drift-diffusion modeling; fMRI; Social neuroscience
 Zusammenfassung: 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.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2021-11-242021-07-182021-12-152021-12-162022-02-15
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1016/j.neuroimage.2021.118827
Anderer: epub 2021
PMID: 34923133
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : -
Grant ID : HE 4566/2–1; HE 4566/5–1
Förderprogramm : -
Förderorganisation : German Research Foundation (DFG)
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : German Academic Scholarship Foundation
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Open Access Publication Fund of the University of Wuerzburg

Quelle 1

einblenden:
ausblenden:
Titel: NeuroImage
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Orlando, FL : Academic Press
Seiten: - Band / Heft: 247 Artikelnummer: 118827 Start- / Endseite: - Identifikator: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166