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Journal articles on the topic 'Decision Neuroscience'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Sanfey, Alan G. "Decision Neuroscience." Current Directions in Psychological Science 16, no. 3 (2007): 151–55. http://dx.doi.org/10.1111/j.1467-8721.2007.00494.x.

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2

Shiv, Baba, Antoine Bechara, Irwin Levin, et al. "Decision Neuroscience." Marketing Letters 16, no. 3-4 (2005): 375–86. http://dx.doi.org/10.1007/s11002-005-5899-8.

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3

Munidewi, Ida, Unti Ludigdo, Ali Djamhuri, and Wuryan Andayani. "Role of Affective Neuroscience in Audit Judgement and Decisions Making: A Systematic Literature Review for Auditing Research." Australasian Business, Accounting and Finance Journal 18, no. 1 (2024): 130–47. http://dx.doi.org/10.14453/aabfj.v18i1.08.

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This research aims to determine the connection of audit judgment and decision making with affective neuroscience. Systematic Literature Review explores the research of audit judgment and decision making being dominated by the role of cognitive issues in judgment and decision making, but only a few reviews about the role of affect. Thus, it is necessary to balance both affective and cognitive variables. This research reviews seven auditing articles that elaborate on the affective role in audit judgment and decision making, six articles related to Affective Neuroscience, mindful judgment and dec

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4

Smith, David V., and Scott A. Huettel. "Decision neuroscience: neuroeconomics." Wiley Interdisciplinary Reviews: Cognitive Science 1, no. 6 (2010): 854–71. http://dx.doi.org/10.1002/wcs.73.

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5

Yoon, Carolyn, Richard Gonzalez, Antoine Bechara, et al. "Decision neuroscience and consumer decision making." Marketing Letters 23, no. 2 (2012): 473–85. http://dx.doi.org/10.1007/s11002-012-9188-z.

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6

Hansen, Flemming, Peter Kenning, and Hilke Plassmann. "Contributions to decision neuroscience." Journal of Economic Psychology 31, no. 5 (2010): 764–66. http://dx.doi.org/10.1016/j.joep.2010.03.001.

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7

Dal Santo, Diego Andrés. "Law and neuroscience. Judges’ decision making." Perspectivas 14, no. 2 (2024): 61–74. http://dx.doi.org/10.19137/perspectivas-2024-v14n2a04.

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The text explores the relationship between neuroscience and law, focusing on how brain processes affect judicial decisions. Brain systems 1 and 2 are distinguished, as they operate intuitively and deliberately re-spectively, and their implications in perception, memory, cognitive biases, heuristics and decision making in the judicial field are examined. In ad-dition, the role of emotions, stress and empathy in judicial impartiality is analyzed, as well as the importance of non-verbal communication in the assessment of testimonial evidence. It is highlighted how personal biases and attitudes al

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8

Hayden, Benjamin Y., and Patrick Haggard. "Neuroscience: Decision, Insight and Intention." Current Biology 27, no. 15 (2017): R750—R753. http://dx.doi.org/10.1016/j.cub.2017.06.065.

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9

Bossaerts, Peter. "What Decision Neuroscience Teaches Us About Financial Decision Making." Annual Review of Financial Economics 1, no. 1 (2009): 383–404. http://dx.doi.org/10.1146/annurev.financial.102708.141514.

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10

Strle, Toma, and Olga Markič. "Looping effects of neurolaw, and the precarious marriage between neuroscience and the law." Balkan Journal of Philosophy 10, no. 1 (2018): 17–26. http://dx.doi.org/10.5840/bjp20181013.

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In the following article we first present the growing trend of incorporating neuroscience into the law, and the growing acceptance of and trust in neuroscience’s mechanistic and reductionistic explanations of the human mind. We then present and discuss some studies that show how nudging peoples’ beliefs about matters related to human agency (such as free will, decision-making, or self-control) towards a more deterministic, mechanistic and/or reductionistic conception, exerts an influence on their very actions, mentality, and brain processes. We suggest that the neuroscientific view of the huma

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11

Rilling, James K., and Alan G. Sanfey. "The Neuroscience of Social Decision-Making." Annual Review of Psychology 62, no. 1 (2011): 23–48. http://dx.doi.org/10.1146/annurev.psych.121208.131647.

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12

Lee, Daeyeol. "Decision Making: From Neuroscience to Psychiatry." Neuron 78, no. 2 (2013): 233–48. http://dx.doi.org/10.1016/j.neuron.2013.04.008.

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13

Hartley, Catherine A., and Leah H. Somerville. "The neuroscience of adolescent decision-making." Current Opinion in Behavioral Sciences 5 (October 2015): 108–15. http://dx.doi.org/10.1016/j.cobeha.2015.09.004.

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14

Mateu, Guillermo, Lucas Monzani, and Roger Muñoz Navarro. "The role of the brain in financial decisions: A viewpoint on neuroeconomics." Mètode Revista de difusió de la investigació, no. 8 (June 5, 2018): 6. http://dx.doi.org/10.7203/metode.0.6923.

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In this article, we explain the important role neuroscience plays in economic and financial environments. Hence, we present neuroeconomics as a way to describe how decision-making processes affect brain activity, focusing especially on the importance of economic and financial decisions. We answer some questions regarding the role of emotions in finance, the psychological factors present in financial markets, and how neuropsychological stimuli affect our economic decisions. We conclude by citing the main research in the area of neuroscience in financial decision-making processes, and highlight

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15

Sanfey, Alan G. "Social Decision-Making: Insights from Game Theory and Neuroscience." Science 318, no. 5850 (2007): 598–602. http://dx.doi.org/10.1126/science.1142996.

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By combining the models and tasks of Game Theory with modern psychological and neuroscientific methods, the neuroeconomic approach to the study of social decision-making has the potential to extend our knowledge of brain mechanisms involved in social decisions and to advance theoretical models of how we make decisions in a rich, interactive environment. Research has already begun to illustrate how social exchange can act directly on the brain's reward system, how affective factors play an important role in bargaining and competitive games, and how the ability to assess another's intentions is

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16

Dr., Mrs. Sangita S. More. "NEUROECONOMICS: AN EMERGING FIELD." International Journal of Advance and Applied Research 2, no. 18 (2022): 51–53. https://doi.org/10.5281/zenodo.7056201.

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<strong><em>Abstract</em></strong> <em>Neuroeconomics is one of the emerging fields which encompasses Neuroscience, Psychology and Economics. Like many other extensive approaches, this has also proven to be the most useful field especially with respect to decision making, social exchange and in the investment sectors. Neuroeconomics is an interdisciplinary field that brings together psychology, economics, neuroscience, and computational science to investigate how people make decisions. The new field of neuroeconomics looks at how economic decision-making actually happens inside the brain. How

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17

Beugre, Constant D., James Dulebohn, Richard E. Boyatzis, Sebastiano Massaro, David V. Smith, and Dongyuan Wu. "The Neuroscience of Decision Making in Organizations." Academy of Management Proceedings 2020, no. 1 (2020): 13893. http://dx.doi.org/10.5465/ambpp.2020.13893symposium.

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18

Dombrovski, Alexandre Y., and Michael N. Hallquist. "The decision neuroscience perspective on suicidal behavior." Current Opinion in Psychiatry 30, no. 1 (2017): 7–14. http://dx.doi.org/10.1097/yco.0000000000000297.

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19

Bottalico, Barbara. "Cognitive Neuroscience, Decision Making and the Law." European Journal of Risk Regulation 2, no. 3 (2011): 427–32. http://dx.doi.org/10.1017/s1867299x00001458.

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Cognitive neuroscience was born when the theories and methods of cognitive psychology and neuropsychology were combined after a long period of parallel development. Over the last few decades, neuroscientific studies have begun to meet the challenge of understanding cognitive functions, thereby identifying the causal chain of neural events that underlies cognition. The development of powerful brain imaging technologies is now likely to present a range of opportunities in many spheres of public life, such as the criminal and civil justice system, and the business world.

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20

Herz, Damian M., Rafal Bogacz, and Peter Brown. "Neuroscience: Impaired Decision-Making in Parkinson’s Disease." Current Biology 26, no. 14 (2016): R671—R673. http://dx.doi.org/10.1016/j.cub.2016.05.075.

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21

OGATA, Yousuke. "Neuroscience of Kansei-based Heuristic Decision-making." Journal of Japan Society of Kansei Engineering 16, no. 4 (2018): 231–33. http://dx.doi.org/10.5057/kansei.16.4_231.

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22

Heydenfeldt, Jo Ann. "Decision Science and Applied Neuroscience: Emerging Possibilities." Performance Improvement 52, no. 6 (2013): 18–25. http://dx.doi.org/10.1002/pfi.21354.

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23

Varón Sandoval, Alexander, and Lizeth Carolina Zapata Castillo. "A theoretical approach to neuroscience technologies’ contributions to administration in the digital transformation context." Cuadernos de Administración 37, no. 69 (2021): e4010691. http://dx.doi.org/10.25100/cdea.v37i69.10691.

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This paper intends to make an approximation to the contributions of neuroscience technologies to administration in a digital transformation context, which will be done through a bibliographic search and document analysis based on a review of databases and the collection of those sources considered most relevant to the topic at hand concerning some of the most critical dimensions in this area, such as human resources, leadership, decision-making, and digital business ecosystems. Likewise, it seeks to make a theoretical reflection on the use of neurosciences as a management tool of relevance to

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24

Prescott, Susan L., Kathleen F. Holton, Christopher A. Lowry, Jeffrey J. Nicholson, and Alan C. Logan. "The Intersection of Ultra-Processed Foods, Neuropsychiatric Disorders, and Neurolaw: Implications for Criminal Justice." NeuroSci 5, no. 3 (2024): 354–77. http://dx.doi.org/10.3390/neurosci5030028.

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Over the last decade there has been increasing interest in the links between the consumption of ultra-processed foods and various neuropsychiatric disorders, aggression, and antisocial behavior. Neurolaw is an interdisciplinary field that seeks to translate the rapid and voluminous advances in brain science into legal decisions and policy. An enhanced understanding of biophysiological mechanisms by which ultra-processed foods influence brain and behavior allows for a historical reexamination of one of forensic neuropsychiatry’s most famous cases—The People v. White and its associated ‘Twinkie

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25

Inage, Shinichi, and Hana Hebishima. "A comprehensive metric for consciousness strength: Integrating real-time responsiveness and long-term learning based on the HLbC model." Neuroscience Chronicles 5, no. 1 (2025): 9–15. https://doi.org/10.46439/neuroscience.5.027.

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This paper presents a novel framework for measuring consciousness strength based on the Human Language-based Consciousness (HLbC) model. While Integrated Information Theory (IIT) quantifies consciousness via integrated information, the HLbC model views consciousness as a post-hoc process, emphasizing language and probabilistic decision-making. By modeling this decision process, a pseudo-Schrödinger equation emerges where the Kullback-Leibler distance replaces spatial coordinates. We propose two metrics for "consciousness strength": one focusing on real-time response and information processing,

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26

Stiliadi, Stella. "Neuroscience Contribution in Educational Leadership. Challenges and Perspectives." Technium Education and Humanities 7 (February 5, 2024): 42–53. http://dx.doi.org/10.47577/teh.v7i.10328.

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Education is founded upon the instruction process and its outcomes, commonly called learning outcomes. The underlying foundation of this entire process is the brain. Neuroscience encompasses the study of brain function, including the intricate processes involved in human learning. It also investigates the factors that contribute to variations in learning abilities among individuals. Therefore, it is unsurprising that individuals engaged in educational science are highly interested in integrating the discoveries of neurosciences with educational theories of learning. Neuroscientific research ha

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27

Devi, Beena, and Saphia Khanam. "Ethical Considerations in Neuroscience Nursing: Balancing Care and Decision Making." Nursing Journal of India CXV, no. 06 (2024): 279–83. https://doi.org/10.48029/nji.2024.cxv608.

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Neuroscience nursing, a specialised field dedicated to caring for patients with neurological conditions, often presents complex ethical dilemmas. This article explores the multifaceted ethical considerations in neuroscience nursing, emphasising the need to balance patient care and decision-making. Key issues include patient autonomy, informed consent, confidentiality, end-of-life care, and the nurse's role in advocating for patients. By examining these challenges and discussing best practices, this article aims to provide a comprehensive guide for neuroscience nurses to navigate ethical comple

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28

Mofatteh, Mohammad. "Neurosurgery and artificial intelligence." AIMS Neuroscience 8, no. 4 (2021): 477–95. http://dx.doi.org/10.3934/neuroscience.2021025.

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<abstract> <p>Neurosurgeons receive extensive and lengthy training to equip themselves with various technical skills, and neurosurgery require a great deal of pre-, intra- and postoperative clinical data collection, decision making, care and recovery. The last decade has seen a significant increase in the importance of artificial intelligence (AI) in neurosurgery. AI can provide a great promise in neurosurgery by complementing neurosurgeons' skills to provide the best possible interventional and noninterventional care for patients by enhancing diagnostic and prognostic outcomes in

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29

Serra, Daniel. "Decision-making: from neuroscience to neuroeconomics—an overview." Theory and Decision 91, no. 1 (2021): 1–80. http://dx.doi.org/10.1007/s11238-021-09830-3.

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30

Yoder, Keith J., and Jean Decety. "The neuroscience of morality and social decision-making." Psychology, Crime & Law 24, no. 3 (2017): 279–95. http://dx.doi.org/10.1080/1068316x.2017.1414817.

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31

Frydman, Cary, and Colin F. Camerer. "The Psychology and Neuroscience of Financial Decision Making." Trends in Cognitive Sciences 20, no. 9 (2016): 661–75. http://dx.doi.org/10.1016/j.tics.2016.07.003.

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32

Peterson, Andrew. "Should Neuroscience Inform Judgements of Decision-Making Capacity?" Neuroethics 12, no. 2 (2018): 133–51. http://dx.doi.org/10.1007/s12152-018-9369-4.

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33

Jessup, Ryan K., and John P. O'Doherty. "Decision Neuroscience: Choices of Description and of Experience." Current Biology 20, no. 20 (2010): R881—R883. http://dx.doi.org/10.1016/j.cub.2010.09.017.

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34

Chicurel, M. "NEUROSCIENCE: Neurons Weigh Options, Come to a Decision." Science 295, no. 5562 (2002): 1995b—1997. http://dx.doi.org/10.1126/science.295.5562.1995b.

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35

Burns, Kelly, and Antoine Bechara. "Decision making and free will: a neuroscience perspective." Behavioral Sciences & the Law 25, no. 2 (2007): 263–80. http://dx.doi.org/10.1002/bsl.751.

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36

Herz, Damian M. "Neuroscience: Therapy modulates decision-making in Parkinson’s disease." Current Biology 34, no. 4 (2024): R148—R150. http://dx.doi.org/10.1016/j.cub.2024.01.031.

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37

Schultz, Wolfram. "Introduction. Neuroeconomics: the promise and the profit." Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1511 (2008): 3767–69. http://dx.doi.org/10.1098/rstb.2008.0153.

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Neuroeconomics investigates the neural mechanisms underlying decisions about rewarding or punishing outcomes (‘economic’ decisions). It combines the knowledge about the behavioural phenomena of economic decisions with the mechanistic explanatory power of neuroscience. Thus, it is about the neurobiological foundations of economic decision making. It is hoped that by ‘opening the box’ we can understand how decisions about gains and losses are directed by the brain of the individual decision maker. Perhaps we can even learn why some decisions are apparently paradoxical or pathological. The knowle

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38

Roselli, Lucia Reis Peixoto, Adiel Teixeira de Almeida, and Eduarda Asfora Frej. "Decision neuroscience for improving data visualization of decision support in the FITradeoff method." Operational Research 19, no. 4 (2019): 933–53. http://dx.doi.org/10.1007/s12351-018-00445-1.

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39

Sriyan Daggubati. "The neuroscience of conformity: How social pressure biases value-based decision-making." World Journal of Advanced Research and Reviews 25, no. 1 (2025): 014–18. https://doi.org/10.30574/wjarr.2025.25.2.0002.

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Social signals—for example, approval, disapproval, or perceived norms of groups—are very important in our decisions. Not surprisingly, interest in the role of social conformity within a connected society on the individual's choice-making process has been in the eye of the public. Knowing the neurobiological bases of this behavior may provide important insights into human cognition. Computation of social signals within brain regions such as the ventromedial prefrontal cortex and the anterior cingulate cortex, estimating feedback from others, and adjusting one's behavior is crucial. While it is

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40

Acconito, Carlotta, Katia Rovelli, and Laura Angioletti. "Neuroscience for a new concept of decision-making style." Neuropsychological Trends, no. 33 (April 2023): 17–35. http://dx.doi.org/10.7358/neur-2023-033-acc1.

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Decision-making styles refer to the style through which individuals identify and evaluate the information needed to make a decision and how they usually consider the various possible alternatives. While decision-making styles have been explored from several research perspectives, no neuroscientific studies addressed this topic before. Considering the neuroscientific findings on the study of the decision-making process, the purpose of this article is to go beyond the traditional models conceptualizing the styles of decisionmaking and to provide a novel insight and definition of this concept, th

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41

Njegovanović, Ana. "Financial Decision Making in The Framework of Neuroscience / Anthropology with Review to The Pandemic and Climate Change." Financial Markets, Institutions and Risks 4, no. 4 (2020): 55–65. http://dx.doi.org/10.21272/fmir.4(4).55-65.2020.

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The purpose of this paper is interdisciplinary research of combinations of different disciplines of (natural) anthropology/neuroscience of consciousness and quantum physics and (social sciences) of financial decision making in the context of climate change and pandemics, which can be useful for finding new information, solving complex problems. The aim of this study is to provide insights into financial decision-making through the intertwining of anthropology/neuroscience and quantum physics in financial decision-making within COVID 19 and climate change and what their relationship/outcomes ar

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42

O'Connell, Redmond G., and Simon P. Kelly. "Neurophysiology of Human Perceptual Decision-Making." Annual Review of Neuroscience 44, no. 1 (2021): 495–516. http://dx.doi.org/10.1146/annurev-neuro-092019-100200.

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The discovery of neural signals that reflect the dynamics of perceptual decision formation has had a considerable impact. Not only do such signals enable detailed investigations of the neural implementation of the decision-making process but they also can expose key elements of the brain's decision algorithms. For a long time, such signals were only accessible through direct animal brain recordings, and progress in human neuroscience was hampered by the limitations of noninvasive recording techniques. However, recent methodological advances are increasingly enabling the study of human brain si

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43

WOLF, ANDREW B., and GIDON FELSEN. "How public health policy can be informed by neuroscience." Behavioural Public Policy 3, no. 1 (2018): 37–46. http://dx.doi.org/10.1017/bpp.2017.9.

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AbstractMany public policies are designed to counteract commonly made decisions that result in poor health. These policies have primarily been informed by the behavioural economics of decision making. Underappreciated in this conversation has been the perspective from neuroscience, despite its recent success – and the likelihood of future progress – in advancing our understanding of the neural basis for health-related decisions. Using tobacco control as an example, we provide a concise overview of how public health policies can and should be informed by neuroscience. We propose that such input

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44

Dr., Mike Berrell1* Dr Jeff Wrathall2. "STRATEGIC MANAGEMENT, ENVIRONMENTAL SUSTAINABILITY, AND THE HUMAN CONDITION." ISRG Journal of Economics, Business & Management (ISRGJEBM) III, no. I (2025): 1–9. https://doi.org/10.5281/zenodo.14583778.

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<strong>Abstract</strong> <em>Finding workable solutions to the detrimental effects of earth’s changing climate on human development, the mismanagement of the natural environment, and the continuous consumption of non-renewable resources are among the most significant Wicked Problems facing society today. However, descriptions of these problems and their solutions contain contested knowledge, making strategic decision-making about climate change, for example, a problematic exercise. While managers normally possess some knowledge about the strategic management process, many fail to follow

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45

Tormen, Federico. "Cognitive neuroscience applied to law. A neurolaw introduction." Neuropsychological Trends, no. 28 (November 2020): 83–91. http://dx.doi.org/10.7358/neur-2020-028-torm.

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Legal reasoning, from the decision of United Chambers of Supreme Court, through the legal assistance activity carried out by a lawyer, to the purchase of an object on Amazon by a common citizen (which integrates a contractual constraint), contains in itself assessments of opportunity and moral evaluation, problem solving, decision making and, in general, a cognitive activation very wide ranging. Thanks to the multidisciplinary vocation of neuroscience, in particular focused at the cognitive field in legal practice, the aim of the research in cognitive neuroscience applied to law is to help to

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46

Servant, Mathieu, Corey White, Anna Montagnini, and Borís Burle. "Linking Theoretical Decision-making Mechanisms in the Simon Task with Electrophysiological Data: A Model-based Neuroscience Study in Humans." Journal of Cognitive Neuroscience 28, no. 10 (2016): 1501–21. http://dx.doi.org/10.1162/jocn_a_00989.

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A current challenge for decision-making research is in extending models of simple decisions to more complex and ecological choice situations. Conflict tasks (e.g., Simon, Stroop, Eriksen flanker) have been the focus of much interest, because they provide a decision-making context representative of everyday life experiences. Modeling efforts have led to an elaborated drift diffusion model for conflict tasks (DMC), which implements a superimposition of automatic and controlled decision activations. The DMC has proven to capture the diversity of behavioral conflict effects across various task con

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47

Mobbs, Dean, Pete C. Trimmer, Daniel T. Blumstein, and Peter Dayan. "Foraging for foundations in decision neuroscience: insights from ethology." Nature Reviews Neuroscience 19, no. 7 (2018): 419–27. http://dx.doi.org/10.1038/s41583-018-0010-7.

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48

Kalenscher, Tobias. "Choosing is feeling—the cognitive neuroscience of decision making." Lancet Neurology 6, no. 1 (2007): 26–27. http://dx.doi.org/10.1016/s1474-4422(06)70673-1.

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49

Bossaerts, Peter, and Carsten Murawski. "Decision Neuroscience: Why We Become More Cautious with Age." Current Biology 26, no. 12 (2016): R495—R497. http://dx.doi.org/10.1016/j.cub.2016.04.061.

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50

Carrillo, José Antonio, Stéphane Cordier, and Simona Mancini. "A decision-making Fokker–Planck model in computational neuroscience." Journal of Mathematical Biology 63, no. 5 (2010): 801–30. http://dx.doi.org/10.1007/s00285-010-0391-3.

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