Journal Article FZJ-2020-01633

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Common and distinct brain activity associated with risky and ambiguous decision-making

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2020
Elsevier Science Amsterdam [u.a.]

Drug and alcohol dependence 209, 107884 - () [10.1016/j.drugalcdep.2020.107884]

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Abstract: Two often-studied forms of uncertain decision-making (DM) are risky-DM (outcome probabilities known) and ambiguous-DM (outcome probabilities unknown). While DM in general is associated with activation of several brain regions, previous neuroimaging efforts suggest a dissociation between activity linked with risky and ambiguous choices. However, the common and distinct neurobiological correlates associated with risky- and ambiguous-DM, as well as their specificity when compared to perceptual-DM (as a ‘control condition’), remains to be clarified. We conducted multiple meta-analyses on neuroimaging results from 151 studies to characterize common and domain-specific brain activity during risky-, ambiguous-, and perceptual-DM. When considering all DM tasks, convergent activity was observed in brain regions considered to be consituents of the canonical salience, valuation, and executive control networks. When considering subgroups of studies, risky-DM (vs. perceptual-DM) was linked with convergent activity in the striatum and anterior cingulate cortex (ACC), regions associated with reward-related processes (determined by objective functional decoding). When considering ambiguous-DM (vs. perceptual-DM), activity convergence was observed in the lateral prefrontal cortex and insula, regions implicated in affectively-neutral mental processes (e.g., cognitive control and behavioral responding; determined by functional decoding). An exploratory meta-analysis comparing brain activity between substance users and non-users during risky-DM identified reduced convergent activity among users in the striatum, cingulate, and thalamus. Taken together, these findings suggest a dissociation of brain regions linked with risky- and ambiguous-DM reflecting possible differential functionality and highlight brain alterations potentially contributing to poor decision-making in the context of substance use disorders.

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Note: Primary support for this project was provided by NIH R01DA041353(MTS, ARL, MCR, RP). Contributions from co-authors were providedwith support from NIH U54MD012393 (sub-project 5378; JSF, MTS), NSF1631325 (ARL, MCR, TS), NIH K01DA037819 (MTS), NIH U01DA041156 (ARL,MTS, MCR, KLB, LDHB), NSF REAL DRL-1420627 (ARL), and NSF CNS1532061 (ARL). SBE was supported by the Deutsche Forschungsgemeinschaft(DFG, EI 816/11-1), the National Institute of Mental Health (R01-MH074457),the Helmholtz Portfolio Theme "Supercomputing and Modeling for theHuman Brain" and the European Union’s Horizon 2020 Research and Innovation Programmeunder Grant Agreement No. 785907 (HBP SGA2). We thank FIU’sInstructional & Research Computing Center (IRCC, http://ircc.fiu.edu)for providing access to computing resources that contributed to the currentresearch results. All authors have read and approved the final manuscript.

Contributing Institute(s):
  1. Gehirn & Verhalten (INM-7)
Research Program(s):
  1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
  2. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)
  3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)

Appears in the scientific report 2020
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 Datensatz erzeugt am 2020-03-27, letzte Änderung am 2021-01-30


Published on 2020-02-04. Available in OpenAccess from 2021-02-04.:
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