scholarly journals Reflection impulsivity perceptual decision-making in patients with restless legs syndrome

2018 ◽  
Vol 5 (3) ◽  
pp. 315-322 ◽  
Author(s):  
Beatrice Heim ◽  
Marie-Theres Pertl ◽  
Ambra Stefani ◽  
Anna Heidbreder ◽  
Laura Zamarian ◽  
...  
Keyword(s):  
Decision Making ◽  
Restless Legs Syndrome ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Restless Legs ◽  
Reflection Impulsivity

Discarding optimality: Throwing out the baby with the bathwater?

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Reward Rate ◽  
Perceptual Decision ◽  
Standard Observer ◽  
Rate Maximization ◽  
Reward Rate Maximization ◽  
Descriptive Standard ◽  
Observer Model

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.

scholarly journals Birds of a Feather Flock Together: Disadvantageous Decision Making in Augmented Restless Legs Syndrome Patients with and without Impulse Control Disorders

2021 ◽  
Vol 11 (3) ◽  
pp. 383
Author(s):  
Beatrice Heim ◽  
Philipp Ellmerer ◽  
Ambra Stefani ◽  
Anna Heidbreder ◽  
Elisabeth Brandauer ◽  
...  
Keyword(s):  
Decision Making ◽  
Restless Legs Syndrome ◽  
Impulse Control ◽  
Compulsive Sexual Behavior ◽  
Structured Interviews ◽  
Restless Legs ◽  
Information Sampling ◽  
Patient Groups ◽  
Post Hoc ◽  
Beads Task

Background: Augmentation (AUG) in patients with restless legs syndrome (RLS) can be associated with impulse control disorder (ICD) symptoms, such as compulsive sexual behavior, gambling disorder or compulsive shopping. In this study, we wanted to assess whether RLS patients with AUG differ in decision making from those patients who have augmentation and in addition ICD symptoms (AUG + ICD) in a post hoc analysis of a patient cohort assessed in a previous study. Methods: In total, 40 RLS patients with augmentation (19 AUG + ICD, 21 AUG without ICDs) were included. RLS diagnosis, severity, and diagnosis of augmentation were made by sleep disorder specialists. ICD symptoms were assessed using semi-structured interviews. All patients performed the beads task, which is an information sampling task where participants must decide from which of the two cups colored beads were drawn. Results were compared to 21 healthy controls (HC). Results: There was no difference in information sampling or irrational decision making between AUG and AUG + ICD patients (p = 0.67 and p = 1.00, respectively). Both patient groups drew less beads and made more irrational decisions than HC (all p-values < 0.03, respectively). Conclusions: Our results suggest that augmentation itself is associated with poorer decision making even in the absence of ICD symptoms. Further studies are necessary to explore whether rapid and hasty decision making are a harbinger of augmentation in RLS.

scholarly journals Flexible categorization in perceptual decision making

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Genís Prat-Ortega ◽  
Klaus Wimmer ◽  
Alex Roxin ◽  
Jaime de la Rocha
Keyword(s):  
Decision Making ◽  
Network Models ◽  
Drift Diffusion Model ◽  
Perceptual Decision Making ◽  
Drift Diffusion ◽  
Perceptual Decision ◽  
Attractor Dynamics ◽  
Attractor Model ◽  
Sensory Evidence ◽  
Winner Take All

AbstractPerceptual decisions rely on accumulating sensory evidence. This computation has been studied using either drift diffusion models or neurobiological network models exhibiting winner-take-all attractor dynamics. Although both models can account for a large amount of data, it remains unclear whether their dynamics are qualitatively equivalent. Here we show that in the attractor model, but not in the drift diffusion model, an increase in the stimulus fluctuations or the stimulus duration promotes transitions between decision states. The increase in the number of transitions leads to a crossover between weighting mostly early evidence (primacy) to weighting late evidence (recency), a prediction we validate with psychophysical data. Between these two limiting cases, we found a novel flexible categorization regime, in which fluctuations can reverse initially-incorrect categorizations. This reversal asymmetry results in a non-monotonic psychometric curve, a distinctive feature of the attractor model. Our findings point to correcting decision reversals as an important feature of perceptual decision making.

Effects of a Brief Mindfulness-Based Attentional Intervention on Threat-Related Perceptual Decision-Making

Mindfulness ◽  
2021 ◽  
Author(s):  
Sungjin Im ◽  
Maya A. Marder ◽  
Gabriella Imbriano ◽  
Tamara J. Sussman ◽  
Aprajita Mohanty
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Perceptual Decision

scholarly journals Sensor-Level Wavelet Analysis Reveals EEG Biomarkers of Perceptual Decision-Making

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2461
Author(s):  
Alexander Kuc ◽  
Vadim V. Grubov ◽  
Vladimir A. Maksimenko ◽  
Natalia Shusharina ◽  
Alexander N. Pisarchik ◽  
...  
Keyword(s):  
Decision Making ◽  
Sensory Information ◽  
Stimulus Onset ◽  
Perceptual Process ◽  
Perceptual Decision Making ◽  
Beta Band ◽  
Perceptual Decision ◽  
Time Frequency ◽  
Band Power ◽  
Sensory Features

Perceptual decision-making requires transforming sensory information into decisions. An ambiguity of sensory input affects perceptual decisions inducing specific time-frequency patterns on EEG (electroencephalogram) signals. This paper uses a wavelet-based method to analyze how ambiguity affects EEG features during a perceptual decision-making task. We observe that parietal and temporal beta-band wavelet power monotonically increases throughout the perceptual process. Ambiguity induces high frontal beta-band power at 0.3–0.6 s post-stimulus onset. It may reflect the increasing reliance on the top-down mechanisms to facilitate accumulating decision-relevant sensory features. Finally, this study analyzes the perceptual process using mixed within-trial and within-subject design. First, we found significant percept-related changes in each subject and then test their significance at the group level. Thus, observed beta-band biomarkers are pronounced in single EEG trials and may serve as control commands for brain-computer interface (BCI).

A Neural Index of Inefficient Evidence Accumulation in Dyslexia Underlying Slow Perceptual Decision Making

Cortex ◽  
2021 ◽  
Author(s):  
Nicole R. Stefanac ◽  
Shou-Han Zhou ◽  
Megan M. Spencer-Smith ◽  
Redmond O’Connell ◽  
Mark A. Bellgrove
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Evidence Accumulation

scholarly journals Multiple brain networks contribute to the acquisition of bias in perceptual decision-making

2015 ◽  
Vol 9 ◽  
Author(s):  
Mei-Yen Chen ◽  
Koji Jimura ◽  
Corey N. White ◽  
W. Todd Maddox ◽  
Russell A. Poldrack
Keyword(s):  
Decision Making ◽  
Brain Networks ◽  
Perceptual Decision Making ◽  
Perceptual Decision
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