Event-related Potentials Corresponding to Decision-making Under Uncertain Conditions

Author:

Farrar Danielle C.1,Killiany Ronald J.2ORCID,Moss Mark B.2ORCID,Fink Brandi3ORCID,Budson Andrew E.45ORCID

Affiliation:

1. Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, New Mexico

2. Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts

3. Department of Psychiatry and Behavioral Sciences, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma

4. Veterans Affairs Boston Healthcare System, Boston, Massachusetts

5. Alzheimer’s Disease Research Center, Boston University School of Medicine, Boston, Massachusetts

Abstract

Background: Decision-making is essential to human functioning, and resolving uncertainty is an essential part of decision-making. Impaired decision-making is present in many pathological conditions, and identifying markers of decision-making under uncertainty will provide a measure of clinical impact in future studies of therapeutic intervention for impaired decision-making. Objective: To describe EEG event-related potentials (ERPs) correlating with decision-making under uncertain conditions when compared with certain conditions. Method: We used a novel card-matching task based on the Wisconsin Card Sorting Test to describe the neural correlates of uncertainty, as measured by EEG, in a group of 27 neurotypical individuals. We evaluated 500-ms intervals in the 2 seconds after card presentation to identify ERPs that are associated with maximal uncertainty compared with maximal certainty. Results: After correcting for multiple comparisons, we identified an ERP in the 500–1000-ms time frame (certain > uncertain, max amplitude 12.73 µV, latency 914 ms) in the left posterior inferior region of the scalp. We also found a P300-like ERP in the left frontal and parietal regions in the 0–500-ms time frame when the individuals received correct versus incorrect feedback (incorrect feedback > correct feedback, max amplitude 1.625 µV, latency 339 ms). Conclusion: We identified an ERP in the 500–1000-ms time frame (certain > uncertain) that may reflect the resolution of uncertainty, as well as a P300-like ERP when feedback is presented (incorrect feedback > correct feedback). These findings can be used in future studies to improve decision-making and resolve uncertainty on the described markers.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Psychiatry and Mental health,Cognitive Neuroscience,General Medicine,Neuropsychology and Physiological Psychology

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