Evidence map›Paper›PMID 34622271›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Reward-Based Decision-Making Engages Distinct Modes of Cross-Frequency Coupling.

Justin Riddle, Morgan L Alexander, Crystal Edler Schiller, David R Rubinow, Flavio Frohlich

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Modulation of prefrontal theta oscillations slows social cognition.Cognitive, affective & behavioral neuroscience · 2026
    Article
  3. Review
  4. Causal Evidence for Prefrontal-Motor Coupling in Reward-Responsive Goal-Directed Behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Prefrontal Hierarchical Control of Corticomuscular Coherence in Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Cross-Frequency Coupling as a Biomarker for Early Stroke Recovery.Neurorehabilitation and neural repair · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Cross-Frequency Coupling and Intelligent Neuromodulation.Cyborg and bionic systems (Washington, D.C.) · 2023
    Review
  20. 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

5 authors at 1 institution in 1 country.

Justin RiddleDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Morgan L AlexanderDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Crystal Edler SchillerDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
David R RubinowDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Flavio FrohlichDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
University of North Carolina at Chapel Hill · US

Funding

Rational Optimization of tACS for Targeting Thalamo-Cortical OscillationsR01MH111889 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FROHLICH, FLAVIO · 2016 to 2019
$2.4M
Targeting Cortical Dynamics: Rational Design of Individualized Brain StimulationR01MH101547 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FROHLICH, FLAVIO · 2013 to 2017
$2.2M
Causal role of delta-beta coupling for goal-directed behavior in anhedoniaK99MH126161 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RIDDLE, JUSTIN M · 2021 to 2022
$184k
NIMH NIH HHS K99 MH126161NIMH NIH HHS R01 MH101547NIMH NIH HHS R01 MH111889
6 · The paper itself

Abstract

Prefrontal cortex exerts control over sensory and motor systems via cross-frequency coupling. However, it is unknown whether these signals play a role in reward-based decision-making and whether such dynamic network configuration is altered in a major depressive episode. We recruited men and women with and without depression to perform a streamlined version of the Expenditure of Effort for Reward Task during recording of electroencephalography. Goal-directed behavior was quantified as willingness to exert physical effort to obtain reward, and reward-evaluation was the degree to which the decision to exert effort was modulated by incentive level. We found that the amplitude of frontal-midline theta oscillations was greatest in participants with the greatest reward-evaluation. Furthermore, coupling between frontal theta phase and parieto-occipital gamma amplitude was positively correlated with reward-evaluation. In addition, goal-directed behavior was positively correlated with coupling between frontal delta phase to motor beta amplitude. Finally, we performed a factor analysis to derive 2 symptom dimensions and found that mood symptoms positively tracked with reward-evaluation and motivation symptoms negatively tracked with goal-directed behavior. Altogether, these results provide evidence that 2 aspects of reward-based decision-making are instantiated by different modes of prefrontal top-down control and are modulated in different symptom dimensions of depression.

Indexed as

Major Depressive DisorderDecision MakingElectroencephalographyFemaleHumansMaleMotivationPrefrontal CortexRewardcross-frequency couplingdepressiongoal-directed behaviorreward-evaluationsymptom dimensions

Identifiers

PMID34622271
PMCPMC9113280
OpenAlexW3199711670

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.