Evidence map›Paper›PMID 28559307›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Cortical neurons multiplex reward-related signals along with sensory and motor information.

Arjun Ramakrishnan, Yoon Woo Byun, Kyle Rand, Christian E Pedersen, Mikhail A Lebedev, Miguel A L Nicolelis

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. Trial
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  6. Uncertainty Shapes Neural Dynamics in Motor Cortex During Reaching.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
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  10. Mapping Eye, Arm, and Reward Information in Frontal Motor Cortices Using Electrocorticography in Nonhuman Primates.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  11. Review
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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

6 authors.

Arjun RamakrishnanDepartment of Neurobiology, Duke University, Durham, NC 27710.
Yoon Woo ByunDuke University Center for Neuroengineering, Duke University, Durham, NC 27710.
Kyle RandDepartment of Biomedical Engineering, Duke University, Durham, NC 27708.
Christian E PedersenJoint Department of Biomedical Engineering, University of North Carolina-Chapel Hill and North Carolina State University, Raleigh, NC 27695.
Mikhail A LebedevDepartment of Neurobiology, Duke University, Durham, NC 27710.
Miguel A L NicolelisDepartment of Neurobiology, Duke University, Durham, NC 27710; nicoleli@neuro.duke.edu.

Funding

Interval Timing and Motor Programming by Cortico-Striatal EnsemblesR01NS073952 · NINDS · DUKE UNIVERSITY · PI NICOLELIS, MIGUEL A. L. · 2011 to 2015
$2.5M
NINDS NIH HHS R01 NS073952
6 · The paper itself

Abstract

Rewards are known to influence neural activity associated with both motor preparation and execution. This influence can be exerted directly upon the primary motor (M1) and somatosensory (S1) cortical areas via the projections from reward-sensitive dopaminergic neurons of the midbrain ventral tegmental areas. However, the neurophysiological manifestation of reward-related signals in M1 and S1 are not well understood. Particularly, it is unclear how the neurons in these cortical areas multiplex their traditional functions related to the control of spatial and temporal characteristics of movements with the representation of rewards. To clarify this issue, we trained rhesus monkeys to perform a center-out task in which arm movement direction, reward timing, and magnitude were manipulated independently. Activity of several hundred cortical neurons was simultaneously recorded using chronically implanted microelectrode arrays. Many neurons (9-27%) in both M1 and S1 exhibited activity related to reward anticipation. Additionally, neurons in these areas responded to a mismatch between the reward amount given to the monkeys and the amount they expected: A lower-than-expected reward caused a transient increase in firing rate in 60-80% of the total neuronal sample, whereas a larger-than-expected reward resulted in a decreased firing rate in 20-35% of the neurons. Moreover, responses of M1 and S1 neurons to reward omission depended on the direction of movements that led to those rewards. These observations suggest that sensorimotor cortical neurons corepresent rewards and movement-related activity, presumably to enable reward-based learning.

Indexed as

RewardAnimalsElectrophysiological PhenomenaFemaleLearningMacaca mulattaMaleMotor CortexMovementNeuronsSignal TransductionSomatosensory Cortexmotor cortexmultichannel recordingprediction errorprimatereward

Identifiers

PMID28559307
PMCPMC5474796

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.