Cognitive Neuroscience Perspectives on Food Decision-Making: A Brief Introduction

Author(s):  
Rebecca J. Lepping ◽  
Vlad B. Papa ◽  
Laura E. Martin

AbstractCognitive neuroscience methods have recently been employed to examine the neural underpinnings of food-related decision-making. The emerging field of food decision neuroscience uses cognitive neuroscience tools such as functional magnetic resonance imaging (fMRI) to study how individuals make decisions regarding food intake, purchasing, branding, and advertising. These tools can be employed to inform marketing strategies, advertising, and product differentiation. Results can also be leveraged to aid in the design of food labeling and policy for obesity, advertising to children, and others. While these tools have the promise for advancing agricultural science as well as informing food related policy, there are some potential pitfalls when applying these techniques to new fields. The goal of this paper is to outline some of the major tools used by cognitive neuroscience – beginning with experimental design and behavioral measures, and then followed by a discussion of some of the neuroimaging tools (fMRI, electroencephalography and event-related potentials [EEG/ERP], and magnetoencephalography [MEG]) – and to highlight how those tools have been used to understand food decision-making.

2018 ◽  
Author(s):  
Kyveli Kompatsiari ◽  
Jairo Pérez-Osorio ◽  
Davide De Tommaso ◽  
Giorgio Metta ◽  
Agnieszka Wykowska

The present study highlights the benefits of using well-controlled experimental designs, grounded in experimental psychology research and objective neuroscientific methods, for generating progress in human-robot interaction (HRI) research. In this study, we implemented a well-studied paradigm of attentional cueing through gaze (the so-called “joint attention” or “gaze cueing”) in an HRI protocol involving the iCub robot. We replicated the standard phenomenon of joint attention both in terms of behavioral measures and event-related potentials of the EEG signal. Our methodology of combining neuroscience methods with an HRI protocol opens promising avenues both for a better design of robots which are to interact with humans, and also for increasing the ecological validity of research in social and cognitive neuroscience.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Saugat Bhattacharyya ◽  
Davide Valeriani ◽  
Caterina Cinel ◽  
Luca Citi ◽  
Riccardo Poli

AbstractIn this paper we present, and test in two realistic environments, collaborative Brain-Computer Interfaces (cBCIs) that can significantly increase both the speed and the accuracy of perceptual group decision-making. The key distinguishing features of this work are: (1) our cBCIs combine behavioural, physiological and neural data in such a way as to be able to provide a group decision at any time after the quickest team member casts their vote, but the quality of a cBCI-assisted decision improves monotonically the longer the group decision can wait; (2) we apply our cBCIs to two realistic scenarios of military relevance (patrolling a dark corridor and manning an outpost at night where users need to identify any unidentified characters that appear) in which decisions are based on information conveyed through video feeds; and (3) our cBCIs exploit Event-Related Potentials (ERPs) elicited in brain activity by the appearance of potential threats but, uniquely, the appearance time is estimated automatically by the system (rather than being unrealistically provided to it). As a result of these elements, in the two test environments, groups assisted by our cBCIs make both more accurate and faster decisions than when individual decisions are integrated in more traditional manners.


Sexual Abuse ◽  
2021 ◽  
pp. 107906322110242
Author(s):  
Anastasios Ziogas ◽  
Benedikt Habermeyer ◽  
Wolfram Kawohl ◽  
Elmar Habermeyer ◽  
Andreas Mokros

A promising line of research on forensic assessment of paraphilic sexual interest focuses on behavioral measures of visual attention using sexual stimuli as distractors. The present study combined event-related potentials (ERPs) with behavioral measures to investigate whether detection of a hidden sexual preference can be improved with ERPs. Normal variants of sexual orientation were used for a proof-of-concept investigation. Accordingly, 40 heterosexual and 40 gay men participated in the study. Within each group, half of the participants were instructed to hide their sexual orientation. The results showed that a match between sexual orientation and stimulus delays responses and influences ERP before motor responses. Late ERP components showed higher potential in differentiating hidden sexual preferences than motor responses, thereby showing how ERPs can be used in combination with reaction time measures to potentially facilitate the detection of hidden sexual preferences.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Lei Wang ◽  
Jiehui Zheng ◽  
Shenwei Huang ◽  
Haoye Sun

Our study aims to contrast the neural temporal features of early stage of decision making in the context of risk and ambiguity. In monetary gambles under ambiguous or risky conditions, 12 participants were asked to make a decision to bet or not, with the event-related potentials (ERPs) recorded meantime. The proportion of choosing to bet in ambiguous condition was significantly lower than that in risky condition. An ERP component identified as P300 was found. The P300 amplitude elicited in risky condition was significantly larger than that in ambiguous condition. The lower bet rate in ambiguous condition and the smaller P300 amplitude elicited by ambiguous stimuli revealed that people showed much more aversion in the ambiguous condition than in the risky condition. The ERP results may suggest that decision making under ambiguity occupies higher working memory and recalls more past experience while decision making under risk mainly mobilizes attentional resources to calculate current information. These findings extended the current understanding of underlying mechanism for early assessment stage of decision making and explored the difference between the decision making under risk and ambiguity.


2021 ◽  
Vol 12 ◽  
Author(s):  
Yuwei Yang ◽  
Shunshun Du ◽  
Hui He ◽  
Chengming Wang ◽  
Xueke Shan ◽  
...  

Although risk decision-making plays an important role in leadership practice, the distinction in behavior between humans with differing levels of leadership, as well as the underlying neurocognitive mechanisms involved, remain unclear. In this study, the Ultimatum Game (UG) was utilized in concert with electroencephalograms (EEG) to investigate the temporal course of cognitive and emotional processes involved in economic decision-making between high and low leadership level college students. Behavioral results from this study found that the acceptance rates in an economic transaction, when the partner was a computer under unfair/sub unfair condition, were significantly higher than in transactions with real human partners for the low leadership group, while there was no significant difference in acceptance rates for the high leadership group. Results from Event-Related Potentials (ERP) analysis further indicated that there was a larger P3 amplitude in the low leadership group than in the high leadership group. We concluded that the difference between high and low leadership groups was at least partly due to their different emotional management abilities.


2020 ◽  
Vol 30 (9) ◽  
pp. 4914-4921
Author(s):  
Minkyung Park ◽  
Myung Hun Jung ◽  
Jiyoon Lee ◽  
A Ruem Choi ◽  
Sun Ju Chung ◽  
...  

Abstract The ability to detect and correct errors is a critical aspect of human cognition. Neuronal dysfunction in error processing has been reported in addictive disorders. The aim of this study was to investigate neural systems underlying error processing using event-related potentials (ERPs) and current source localization as well as neurocognitive executive function tests in patients with Internet gaming disorder (IGD). A total of 68 individuals (34 patients with IGD and 34 healthy controls [HCs]) were included, and two ERP components, error-related negativity (ERN) and error positivity (Pe), were extracted during a GoNogo task. Patients with IGD exhibited significantly reduced ERN and Pe amplitudes compared with HCs. Standardized low-resolution brain electromagnetic tomography (sLORETA) in between-group comparisons revealed that patients with IGD had decreased source activations of the Pe component in the anterior cingulate cortex (ACC) under the Nogo condition. These ERP changes were associated with deficits in decision-making and response inhibition in IGD patients. The results suggest that IGD may be associated with functional abnormalities in the ACC and alterations in neural activity related to both the early unconscious and the later conscious stages of error processing, as well as deficits in area of decision-making.


2009 ◽  
Vol 21 (7) ◽  
pp. 1435-1446 ◽  
Author(s):  
Dominique Lamy ◽  
Moti Salti ◽  
Yair Bar-Haim

The aim of the present study was to dissociate the ERP (Event Related Potentials) correlates of subjective awareness from those of unconscious perception. In a backward masking paradigm, participants first produced a forced-choice response to the location of a liminal target presented for an individually calibrated duration, and then reported on their subjective awareness of the target's presence. We recorded (Event-Related Potentials) ERPs and compared the ERP waves when observers reported being aware vs. unaware of the target but localized it correctly, thereby isolating the neural correlates of subjective awareness while controlling for differences in objective performance. In addition, we compared the ERPs when participants were subjectively unaware of the target's presence and localized it correctly versus incorrectly, thereby isolating the neural correlates of unconscious perception. All conditions involved stimuli that were physically identical and were presented for the same duration. Both behavioral measures were associated with modulation of the amplitude of the P3 component of the ERP. Importantly, this modulation was widely spread across all scalp locations for subjective awareness, but was restricted to the parietal electrodes for unconscious perception. These results indicate that liminal stimuli that do not affect performance undergo considerable processing and that subjective awareness is associated with a late wave of activation with widely distributed topography.


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