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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title A unified neural account of contextual and individual differences in altruism
Organization Unit
Authors
  • Jie Hu
  • Arkady Konovalov
  • Christian Ruff
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title eLife
Publisher eLife Sciences Publications Ltd.
Geographical Reach international
ISSN 2050-084X
Volume 12
Page Range e80667
Date 2023
Abstract Text Altruism is critical for cooperation and productivity in human societies but is known to vary strongly across contexts and individuals. The origin of these differences is largely unknown, but may in principle reflect variations in different neurocognitive processes that temporally unfold during altruistic decision making (ranging from initial perceptual processing via value computations to final integrative choice mechanisms). Here, we elucidate the neural origins of individual and contextual differences in altruism by examining altruistic choices in different inequality contexts with computational modeling and electroencephalography (EEG). Our results show that across all contexts and individuals, wealth distribution choices recruit a similar late decision process evident in model-predicted evidence accumulation signals over parietal regions. Contextual and individual differences in behavior related instead to initial processing of stimulus-locked inequality-related value information in centroparietal and centrofrontal sensors, as well as to gamma-band synchronization of these value-related signals with parietal response-locked evidence-accumulation signals. Our findings suggest separable biological bases for individual and contextual differences in altruism that relate to differences in the initial processing of choice-relevant information.
Free access at DOI
Digital Object Identifier 10.7554/elife.80667
Other Identification Number merlin-id:23812
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Keywords General immunology and microbiology, general biochemistry, genetics and molecular biology, general medicine, general neuroscience