Literature DB >> 29616472

Risk seeking for losses modulates the functional connectivity of the default mode and left frontoparietal networks in young males.

Yacila I Deza Araujo1, Stephan Nebe1, Philipp T Neukam1, Shakoor Pooseh1, Miriam Sebold2, Maria Garbusow2, Andreas Heinz2, Michael N Smolka3.   

Abstract

Value-based decision making (VBDM) is a principle that states that humans and other species adapt their behavior according to the dynamic subjective values of the chosen or unchosen options. The neural bases of this process have been extensively investigated using task-based fMRI and lesion studies. However, the growing field of resting-state functional connectivity (RSFC) may shed light on the organization and function of brain connections across different decision-making domains. With this aim, we used independent component analysis to study the brain network dynamics in a large cohort of young males (N = 145) and the relationship of these dynamics with VBDM. Participants completed a battery of behavioral tests that evaluated delay aversion, risk seeking for losses, risk aversion for gains, and loss aversion, followed by an RSFC scan session. We identified a set of large-scale brain networks and conducted our analysis only on the default mode network (DMN) and networks comprising cognitive control, appetitive-driven, and reward-processing regions. Higher risk seeking for losses was associated with increased connectivity between medial temporal regions, frontal regions, and the DMN. Higher risk seeking for losses was also associated with increased coupling between the left frontoparietal network and occipital cortices. These associations illustrate the participation of brain regions involved in prospective thinking, affective decision making, and visual processing in participants who are greater risk-seekers, and they demonstrate the sensitivity of RSFC to detect brain connectivity differences associated with distinct VBDM parameters.

Entities:  

Keywords:  Default mode network; Frontoparietal network; Intrinsic connectivity networks; Probabilistic discounting for losses; Value-based decision making

Mesh:

Year:  2018        PMID: 29616472     DOI: 10.3758/s13415-018-0586-4

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


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