Year: 2023
Type: article
Study design: Observational Study
Abstract: Humans exhibit distinct risk preferences when facing choices involving potential gains and losses. These preferences are believed to be subject to neuromodulatory influence, particularly from dopamine and serotonin. As neuromodulators manifest circadian rhythms, this suggests decision making under risk might be affected by time of day. Here, in a large subject sample collected using a smartphone application, we found that risky options with potential losses were increasingly chosen over the course of the day. We observed this result in both a within-subjects design (N = 2599) comparing risky options chosen earlier and later in the day in the same individuals, and in a between-subjects design (N = 26,720) showing our effect generalizes across ages and genders. Using computational modelling, we show this diurnal change in risk preference reflects a decrease in sensitivity to increasing losses, but no change was observed in the relative impacts of gains and losses on choice (i.e., loss aversion). Thus, our findings reveal a striking diurnal modulation in human decision making, a pattern with potential importance for real-life decisions that include voting, medical decisions, and financial investments.
Source: Scientific Reports
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,390
Funders: Brain and Behavior Research Foundation, National Alliance for Research on Schizophrenia and Depression, Wellcome Trust, International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, University College London, Max-Planck-Gesellschaft, Max-Planck-Institut für Bildungsforschung, National Institutes of Health, Medical Research Council, National Institute of Mental Health, National Center for Advancing Translational Sciences
Awards: G1456649757, G1895291202, Wellcome Centre for Human Neuroimaging, G3303679236, G3427088651, Remote computational phenotyping of behavioral and affective dynamics in major depression, G354723070, G3648406272, Wellcome Centre for Human Neuroimaging, The neurobiology of motivation in health and disease., The Computational Psychiatry of Major Depressive Disorder, G5882669802, G6939254385, G776102331, G7765275075, G8294085197, Yale Clinical and Translational Science Award
OpenAlex ID: W4362596498
