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Spreading inequality: Neural computations underlying paying-it-forward reciprocity

Standard

Spreading inequality: Neural computations underlying paying-it-forward reciprocity. / Hu, Yang; He, Lisheng; Zhang, Lei; Wölk, Thorben; Dreher, Jean-Claude; Weber, Bernd.

in: SOC COGN AFFECT NEUR, Jahrgang 13, Nr. 6, 01.06.2018, S. 578-589.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Hu, Y, He, L, Zhang, L, Wölk, T, Dreher, J-C & Weber, B 2018, 'Spreading inequality: Neural computations underlying paying-it-forward reciprocity', SOC COGN AFFECT NEUR, Jg. 13, Nr. 6, S. 578-589. https://doi.org/10.1093/scan/nsy040

APA

Hu, Y., He, L., Zhang, L., Wölk, T., Dreher, J-C., & Weber, B. (2018). Spreading inequality: Neural computations underlying paying-it-forward reciprocity. SOC COGN AFFECT NEUR, 13(6), 578-589. https://doi.org/10.1093/scan/nsy040

Vancouver

Hu Y, He L, Zhang L, Wölk T, Dreher J-C, Weber B. Spreading inequality: Neural computations underlying paying-it-forward reciprocity. SOC COGN AFFECT NEUR. 2018 Jun 1;13(6):578-589. https://doi.org/10.1093/scan/nsy040

Bibtex

@article{052cd72fbfe046dc94132ef55ac0f964,
title = "Spreading inequality: Neural computations underlying paying-it-forward reciprocity",
abstract = "People tend to pay the generosity they receive from a person forward to someone else even if they have no chance to reciprocate directly. This phenomenon, known as paying-it-forward (PIF) reciprocity, crucially contributes to the maintenance of a cooperative human society by passing kindness among strangers and has been widely studied in evolutionary biology. To further examine its neural implementation and underlying computations, we used functional magnetic resonance imaging together with computational modeling. In a modified PIF paradigm, participants first received a monetary split (i.e. greedy, equal or generous) from either a human partner or a computer. They then chose between two options involving additional amounts of money to be allocated between themselves and an uninvolved person. Behaviorally, people forward the previously received greed/generosity towards a third person. The social impact of previous treatments is integrated into computational signals in the ventromedial prefrontal cortex and the right temporoparietal junction during subsequent decision making. Our findings provide insights to understand the proximal origin of PIF reciprocity.",
author = "Yang Hu and Lisheng He and Lei Zhang and Thorben W{\"o}lk and Jean-Claude Dreher and Bernd Weber",
year = "2018",
month = jun,
day = "1",
doi = "10.1093/scan/nsy040",
language = "English",
volume = "13",
pages = "578--589",
journal = "SOC COGN AFFECT NEUR",
issn = "1749-5016",
publisher = "Oxford University Press",
number = "6",

}

RIS

TY - JOUR

T1 - Spreading inequality: Neural computations underlying paying-it-forward reciprocity

AU - Hu, Yang

AU - He, Lisheng

AU - Zhang, Lei

AU - Wölk, Thorben

AU - Dreher, Jean-Claude

AU - Weber, Bernd

PY - 2018/6/1

Y1 - 2018/6/1

N2 - People tend to pay the generosity they receive from a person forward to someone else even if they have no chance to reciprocate directly. This phenomenon, known as paying-it-forward (PIF) reciprocity, crucially contributes to the maintenance of a cooperative human society by passing kindness among strangers and has been widely studied in evolutionary biology. To further examine its neural implementation and underlying computations, we used functional magnetic resonance imaging together with computational modeling. In a modified PIF paradigm, participants first received a monetary split (i.e. greedy, equal or generous) from either a human partner or a computer. They then chose between two options involving additional amounts of money to be allocated between themselves and an uninvolved person. Behaviorally, people forward the previously received greed/generosity towards a third person. The social impact of previous treatments is integrated into computational signals in the ventromedial prefrontal cortex and the right temporoparietal junction during subsequent decision making. Our findings provide insights to understand the proximal origin of PIF reciprocity.

AB - People tend to pay the generosity they receive from a person forward to someone else even if they have no chance to reciprocate directly. This phenomenon, known as paying-it-forward (PIF) reciprocity, crucially contributes to the maintenance of a cooperative human society by passing kindness among strangers and has been widely studied in evolutionary biology. To further examine its neural implementation and underlying computations, we used functional magnetic resonance imaging together with computational modeling. In a modified PIF paradigm, participants first received a monetary split (i.e. greedy, equal or generous) from either a human partner or a computer. They then chose between two options involving additional amounts of money to be allocated between themselves and an uninvolved person. Behaviorally, people forward the previously received greed/generosity towards a third person. The social impact of previous treatments is integrated into computational signals in the ventromedial prefrontal cortex and the right temporoparietal junction during subsequent decision making. Our findings provide insights to understand the proximal origin of PIF reciprocity.

U2 - 10.1093/scan/nsy040

DO - 10.1093/scan/nsy040

M3 - SCORING: Journal article

C2 - 29897606

VL - 13

SP - 578

EP - 589

JO - SOC COGN AFFECT NEUR

JF - SOC COGN AFFECT NEUR

SN - 1749-5016

IS - 6

ER -