PMID- 34403743 OWN - NLM STAT- MEDLINE DCOM- 20220110 LR - 20220110 IS - 1095-9572 (Electronic) IS - 1053-8119 (Linking) VI - 242 DP - 2021 Nov 15 TI - Multivariate pattern analysis of electroencephalography data reveals information predictive of charitable giving. PG - 118475 LID - S1053-8119(21)00748-5 [pii] LID - 10.1016/j.neuroimage.2021.118475 [doi] AB - Charitable donations are an altruistic behavior whereby individuals donate money or other resources to benefit others while the recipient is normally absent from the context. Several psychological factors have been shown to influence charitable donations, including a cost-benefit analysis, the motivation to engage in altruistic behavior, and the perceived psychological benefits of donation. Recent work has identified the ventral medial prefrontal cortex (MPFC) for assigning value to options in social decision making tasks, with other regions involved in empathy and emotion contributing input to the value computation (e.g. Hare et al., 2010; Hutcherson et al., 2015; Tusche et al., 2016). Most impressively, multivariate pattern analysis (MVPA) has been applied to fMRI data to predict donation behavior on a trial-by-trial basis from ventral MPFC activity (Hare et al., 2010) while identifying the contribution of emotional processing in other regions to the value computation (e.g. Tusche et al., 2016). MVPA of EEG data may be able to provide further insight into the timing and scalp topography of neural activity related to both value computation and emotional effects on donation behavior. We examined the effect of incidental emotional states and the perceived urgency of the charitable cause on donation behavior using support vector regression on EEG data to predict donation amount on a trial by trial basis. We used positive, negative, and neutral pictures to induce incidental emotional states in participants before they made donation decisions concerning two types of charities. One category of charity was oriented toward saving people from current suffering, and the other was to prevent future suffering. Behaviorally, subjects donated more money in a negative emotional state relative to other emotional states, and more money to alleviate current over future suffering. The data-driven multivariate pattern analysis revealed that the electrophysiological activity elicited by both emotion-priming pictures and charity cues could predict the variation in donation magnitude on a trial-by-trial basis. CI - Copyright (c) 2021. Published by Elsevier Inc. FAU - Huang, Qiuyan AU - Huang Q AD - Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China. FAU - Li, Danyang AU - Li D AD - Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China. FAU - Zhou, Can AU - Zhou C AD - Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China. FAU - Xu, Qiang AU - Xu Q AD - Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China. FAU - Li, Peng AU - Li P AD - Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China; Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, China; Department of Biomedical Sciences of Cells & Systems, University Medical Center Groningen, Groningen, the Netherlands. Electronic address: peng@szu.edu.cn. FAU - Warren, Christopher M AU - Warren CM AD - Emma Eccles Jones College of Education and Human Services, Utah State University, United States. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20210814 PL - United States TA - Neuroimage JT - NeuroImage JID - 9215515 SB - IM MH - Adolescent MH - *Altruism MH - *Charities MH - Electroencephalography/*methods MH - Emotions MH - Empathy MH - Female MH - Humans MH - Magnetic Resonance Imaging MH - Male MH - Motivation/*physiology MH - Young Adult OTO - NOTNLM OT - Charitable donation OT - Emotional priming OT - MVPA OT - N2 COIS- Declarations of Competing Interest None EDAT- 2021/08/18 06:00 MHDA- 2022/01/11 06:00 CRDT- 2021/08/17 20:14 PHST- 2021/04/08 00:00 [received] PHST- 2021/07/20 00:00 [revised] PHST- 2021/08/13 00:00 [accepted] PHST- 2021/08/18 06:00 [pubmed] PHST- 2022/01/11 06:00 [medline] PHST- 2021/08/17 20:14 [entrez] AID - S1053-8119(21)00748-5 [pii] AID - 10.1016/j.neuroimage.2021.118475 [doi] PST - ppublish SO - Neuroimage. 2021 Nov 15;242:118475. doi: 10.1016/j.neuroimage.2021.118475. Epub 2021 Aug 14.