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      Are People Altruistic When Making Socially Responsible Investments? Evidence From a tDCS Study

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          Abstract

          Socially responsible investment (SRI) is an emerging philosophy that integrates social and environmental impacts into investment considerations, and it has gradually developed into an important form of investment. Previous studies have shown that both financial and non-financial motivations account for SRI behaviors, but it is unclear whether the non-financial motive to adopt SRI derives from investors’ altruism. This study uses neuroscientific techniques to explore the role of altruism in SRI decision-making. Given that existing evidence has supported the involvement of the right temporoparietal junction (rTPJ) in altruism and altruistic behaviors, we used transcranial direct current stimulation (tDCS) to temporarily modulate activity in the rTPJ and tested its effect on charitable donations and SRI behaviors. We found that anodal stimulation increased the subjects’ donations, while cathodal stimulation decreased them, suggesting that tDCS changed the subjects’ levels of altruism. More importantly, anodal stimulation enhanced the subjects’ willingness to make SRIs, while cathodal stimulation did not have a significant impact. These findings indicate that altruism plays an important role in SRI decision-making. Furthermore, cathodal stimulation changed the subjects’ perceived effectiveness of charitable donation but not that of socially responsible fund. This result may help explain the inconsistent effects of cathodal stimulation on charitable donations and SRI behaviors. The main contribution of our study lies in its pioneering application of tDCS to conduct research on SRI behaviors and provision of neuroscientific evidence regarding the role of altruism in SRI decision-making.

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          Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation

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            10/20, 10/10, and 10/5 systems revisited: their validity as relative head-surface-based positioning systems.

            With the advent of multi-channel EEG hardware systems and the concurrent development of topographic and tomographic signal source localization methods, the international 10/20 system, a standard system for electrode positioning with 21 electrodes, was extended to higher density electrode settings such as 10/10 and 10/5 systems, allowing more than 300 electrode positions. However, their effectiveness as relative head-surface-based positioning systems has not been examined. We previously developed a virtual 10/20 measurement algorithm that can analyze any structural MR head and brain image. Extending this method to the virtual 10/10 and 10/5 measurement algorithms, we analyzed the MR images of 17 healthy subjects. The acquired scalp positions of the 10/10 and 10/5 systems were normalized to the Montreal Neurological Institute (MNI) stereotactic coordinates and their spatial variability was assessed. We described and examined the effects of spatial variability due to the selection of positioning systems and landmark placement strategies. As long as a detailed rule for a particular system was provided, it yielded precise landmark positions on the scalp. Moreover, we evaluated the effective spatial resolution of 329 scalp landmark positions of the 10/5 system for multi-subject studies. As long as a detailed rule for landmark setting was provided, 241 scalp positions could be set effectively when there was no overlapping of two neighboring positions. Importantly, 10/10 positions could be well separated on a scalp without overlapping. This study presents a referential framework for establishing the effective spatial resolutions of 10/20, 10/10, and 10/5 systems as relative head-surface-based positioning systems.
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              Measuring utility by a single-response sequential method.

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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                18 August 2021
                2021
                : 15
                : 704537
                Affiliations
                [1] 1School of Business and Management, Key Laboratory of Applied Brain and Cognitive Sciences, Shanghai International Studies University , Shanghai, China
                [2] 2Center for Economic Behavior and Decision-Making (CEBD), Zhejiang University of Finance and Economics , Hangzhou, China
                Author notes

                Edited by: Lucy F. Ackert, Kennesaw State University, United States

                Reviewed by: Guangrong Wang, Weifang University, China; Pengcheng Wang, Tianjin University of Finance and Economics, China; Peter Hugh Donaldson, Deakin University, Australia

                *Correspondence: Shu Chen, shu.chen@ 123456shisu.edu.cn

                This article was submitted to Decision Neuroscience, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2021.704537
                8416413
                b8e23f17-69ac-4c46-b54e-6aa536abcd6d
                Copyright © 2021 Yang, Meng, Chen, Gao and Zhang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 May 2021
                : 28 July 2021
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 62, Pages: 13, Words: 0
                Categories
                Neuroscience
                Original Research

                Neurosciences
                socially responsible investment,altruism,motivation,right temporoparietal junction,transcranial direct current stimulation

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