ArticleNeuroradiology2018
Functional brain networks involved in decision-making under certain and uncertain conditions.
Article in Neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- A feature-based network analysis and fMRI meta-analysis reveal three distinct types of prosocial decisions.Social cognitive and affective neuroscience · 2021Pooled it
- Microstructural and functional connectivity changes of decision-related brain networks in end-stage kidney disease patients undergoing peritoneal dialysis.Kidney research and clinical practice · 2026Article
- Wearable Functional Near-Infrared Spectroscopy (fNIRS) Monitoring of Prefrontal Activation and Connectivity During Purpose-Driven Consumption.Sensors (Basel, Switzerland) · 2026Article
- Neural correlates of categorization uncertainty: evidence from a category induction task.Frontiers in psychology · 2026Article
- Article
- The parietal cortex has a causal role in ambiguity computations in humans.PLoS biology · 2024Article
- Movement characteristics impact decision-making and vice versa.Scientific reports · 2023Article
- An EEG-Based Neuromarketing Approach for Analyzing the Preference of an Electric Car.Computational intelligence and neuroscience · 2022Article
- Neural responses to rapidly selecting color names with different novelty.Cognitive neurodynamics · 2021Article
- The role of the medial prefrontal cortex in cognition, ageing and dementia.Brain communications · 2021Review
- Decision making under ambiguity and risk in adolescent-onset schizophrenia.BMC psychiatry · 2021Article
- Association of Amyloid-β Pathology with Decision Making and Scam Susceptibility.Journal of Alzheimer's disease : JAD · 2021Article
- Alterations of Cerebral Hemodynamics and Network Properties Induced by Newsvendor Problem in the Human Prefrontal Cortex.Frontiers in human neuroscience · 2020Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
purposeThe aim of this study was to describe imaging markers of decision-making under uncertain conditions in normal individuals, in order to provide baseline activity to compare to impaired decision-making in pathological states.
methodsIn this cross-sectional study, 19 healthy subjects ages 18-35 completed a novel decision-making card-matching task using a Phillips T3 Scanner and a 32-channel head coil. Functional data were collected in six functional runs. In one condition of the task, the participant was certain of the rule to apply to match the cards; in the other condition, the participant was uncertain. We performed cluster-based comparison of the two conditions using FSL fMRI Expert Analysis Tool and network-based analysis using MATLAB.
resultsThe uncertain > certain comparison yielded three clusters-a midline cluster that extended through the midbrain, the thalamus, bilateral prefrontal cortex, the striatum, and bilateral parietal/occipital clusters. The certain > uncertain comparison yielded bilateral clusters in the insula, parietal and temporal lobe, as well as a medial frontal cluster. A larger, more connected functional network was found in the uncertain condition.
conclusionThe involvement of the insula, parietal cortex, temporal cortex, ventromedial prefrontal cortex, and orbitofrontal cortex of the certain condition reinforces the notion that certainty is inherently rewarding. For the uncertain condition, the involvement of the prefrontal cortex, parietal cortex, striatum, thalamus, amygdala, and hippocampal involvement was expected, as these are areas involved in resolving uncertainty and rule updating. The involvement of occipital cortical involvement and midbrain involvement may be attributed to increased visual attention and increased motor control.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.