scholarly journals Time Course of the Neural Activity Related to Behavioral Decision-Making as Revealed by Event-Related Potentials

2019 ◽  
Vol 13 ◽  
Author(s):  
José M. Martínez-Selva ◽  
Miguel A. Muñoz ◽  
Juan P. Sánchez-Navarro ◽  
César Walteros ◽  
Pedro Montoya
Keyword(s):  
Decision Making ◽  
Neural Activity ◽  
Time Course ◽  
Event Related Potentials ◽  
Behavioral Decision Making ◽  
Behavioral Decision ◽  
Related Potentials

Time Course of Brain Activity during Change Blindness and Change Awareness: Performance is Predicted by Neural Events before Change Onset

2006 ◽  
Vol 18 (12) ◽  
pp. 2108-2129 ◽  
Author(s):  
Gilles Pourtois ◽  
Michael De Pretto ◽  
Claude-Alain Hauert ◽  
Patrik Vuilleumier
Keyword(s):  
Change Detection ◽  
Neural Activity ◽  
Time Course ◽  
Brain Activity ◽  
Change Blindness ◽  
Event Related Potentials ◽  
Distinct Pattern ◽  
Event Related Potential ◽  
Related Potentials ◽  
Visual Changes

People often remain “blind” to visual changes occurring during a brief interruption of the display. The processing stages responsible for such failure remain unresolved. We used event-related potentials to determine the time course of brain activity during conscious change detection versus change blindness. Participants saw two successive visual displays, each with two faces, and reported whether one of the faces changed between the first and second displays. Relative to blindness, change detection was associated with a distinct pattern of neural activity at several successive processing stages, including an enhanced occipital P1 response and a sustained frontal activity (CNV-like potential) after the first display, before the change itself. The amplitude of the N170 and P3 responses after the second visual display were also modulated by awareness of the face change. Furthermore, a unique topography of event-related potential activity was observed during correct change and correct no-change reports, but not during blindness, with a recurrent time course in the stimulus sequence and simultaneous sources in the parietal and temporo-occipital cortex. These results indicate that awareness of visual changes may depend on the attentional state subserved by coordinated neural activity in a distributed network, before the onset of the change itself.

The effects of optimism on self-framing and risky decision making

2020 ◽  
Vol 48 (10) ◽  
pp. 1-9
Author(s):  
Ran Zhang ◽  
Luming Zhao ◽  
Lin Wu ◽  
Hongxu Chen ◽  
Gaoxing Zhou ◽  
...  
Keyword(s):  
Decision Making ◽  
Framing Effect ◽  
Risky Decision Making ◽  
Risky Decision ◽  
Life Orientation Test ◽  
Life Orientation ◽  
Risk Seeking ◽  
Behavioral Decision Making ◽  
Behavioral Decision ◽  
Orientation Test

The framing effect is a key topic that has been insufficiently studied in research on behavioral decision making. In our study we explored the effects of optimism on self-framing and risky decision making. Participants were 416 undergraduates who responded to the Life Orientation Test and a self-framing test based on the Asian disease problem. The results demonstrate that, compared with people low in optimism, highly optimistic individuals tended to use more positive words to describe problems, generate more positive frames, and choose more risky options. There was also a significant self-framing effect: Participants with a negative frame tended to be risk-seeking, whereas those with a positive frame tended to avoid risks. Additionally, selfframing suppressed the effect of optimism on risky decision making. We can conclude that optimism has significant effects on self-framing and risky decision making.

scholarly journals Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Saugat Bhattacharyya ◽  
Davide Valeriani ◽  
Caterina Cinel ◽  
Luca Citi ◽  
Riccardo Poli
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Brain Activity ◽  
Event Related Potentials ◽  
Brain Computer Interfaces ◽  
Appearance Time ◽  
Perceptual Group ◽  
Computer Interfaces ◽  
Related Potentials

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.

scholarly journals P300 and Decision Making under Risk and Ambiguity

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Lei Wang ◽  
Jiehui Zheng ◽  
Shenwei Huang ◽  
Haoye Sun
Keyword(s):  
Decision Making ◽  
Early Stage ◽  
Event Related Potentials ◽  
Underlying Mechanism ◽  
P300 Amplitude ◽  
Early Assessment ◽  
Decision Making Under Risk ◽  
Related Potentials ◽  
The Difference ◽  
Ambiguous Condition

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.

scholarly journals The Role of Leadership Level in College Students’ Decision-Making: Evidence From Event-Related Potential Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuwei Yang ◽  
Shunshun Du ◽  
Hui He ◽  
Chengming Wang ◽  
Xueke Shan ◽  
...  
Keyword(s):  
College Students ◽  
Decision Making ◽  
Event Related Potentials ◽  
Event Related Potential ◽  
Economic Decision Making ◽  
Significant Difference ◽  
Leadership Group ◽  
Related Potentials ◽  
Acceptance Rates ◽  
Economic Transaction

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.

Neural Biases to Covert and Overt Signals of Fear: Dissociation by Trait Anxiety and Depression

2007 ◽  
Vol 19 (10) ◽  
pp. 1595-1608 ◽  
Author(s):  
Leanne M. Williams ◽  
Andrew H. Kemp ◽  
Kim Felmingham ◽  
Belinda J. Liddell ◽  
Donna M. Palmer ◽  
...  
Keyword(s):  
Trait Anxiety ◽  
Time Course ◽  
Event Related Potentials ◽  
Anxiety And Depression ◽  
Controlled Processing ◽  
Parallel Networks ◽  
Related Potentials ◽  
Conscious Attention ◽  
The Impact ◽  
Emotion Encoding

Although biases toward signals of fear may be an evolutionary adaptation necessary for survival, heightened biases may be maladaptive and associated with anxiety or depression. In this study, event-related potentials (ERPs) were used to examine the time course of neural responses to facial fear stimuli (versus neutral) presented overtly (for 500 msec with conscious attention) and covertly (for 10 msec with immediate masking to preclude conscious awareness) in 257 nonclinical subjects. We also examined the impact of trait anxiety and depression, assessed using psychometric ratings, on the time course of ERPs. In the total subject group, controlled biases to overtly processed fear were reflected in an enhancement of ERPs associated with structural encoding (120–220 msec) and sustained evaluation persisting from 250 msec and beyond, following a temporo-occipital to frontal topography. By contrast, covert fear processing elicited automatic biases, reflected in an enhancement of ERPs prior to structural encoding (80–180 msec) and again in the period associated with automatic orienting and emotion encoding (230–330 msec), which followed the reverse frontal to temporo-occipital topography. Higher levels of trait anxiety (in the clinical range) were distinguished by a heightened bias to covert fear (speeding of early ERPs), compared to higher depression which was associated with an opposing bias to overt fear (slowing of later ERPs). Anxiety also heightened early responses to covert fear, and depression to overt fear, with subsequent deficits in emotion encoding in each case. These findings are consistent with neural biases to signals of fear which operate automatically and during controlled processing, feasibly supported by parallel networks. Heightened automatic biases in anxiety may contribute to a cycle of hypervigilance and anxious thoughts, whereas depression may represent a “burnt out” emotional state in which evaluation of fear stimuli is prolonged only when conscious attention is allocated.

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