Evidence map›Paper›PMID 29616472›Full record

ArticleCognitive, affective & behavioral neuroscience2018

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

Yacila I Deza Araujo, Stephan Nebe, Philipp T Neukam, Shakoor Pooseh, Miriam Sebold, Maria Garbusow, Andreas Heinz, Michael N Smolka

Abstract read
PubMed Publisher
In one paragraph

Article in Cognitive, affective & behavioral neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Yacila I Deza AraujoDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
Stephan NebeDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
Philipp T NeukamDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
Shakoor PoosehDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
Miriam SeboldDepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.
Maria GarbusowDepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.
Andreas HeinzDepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.
Michael N SmolkaDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany. michael.smolka@tu-dresden.de.
TU Dresden · DECharité - Universitätsmedizin Berlin · DE

Funding

Deutsche Forschungsgemeinschaft HE 2597/13-1Deutsche Forschungsgemeinschaft HE 2597/13-2Deutsche Forschungsgemeinschaft SFB 940/1Deutsche Forschungsgemeinschaft SFB 940/2Deutsche Forschungsgemeinschaft SM 80/7-1Deutsche Forschungsgemeinschaft SM 80/7-2
6 · The paper itself

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.

Indexed as

Brain MappingAdolescentAdultBrainCognitionDecision MakingFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeural PathwaysRestRewardRiskYoung AdultDefault mode networkFrontoparietal networkIntrinsic connectivity networksProbabilistic discounting for lossesValue-based decision making

Identifiers

PMID29616472
OpenAlexW2796329946

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.