Evidence map›Paper›PMID 39516041›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Neural Mechanisms Underlying Robust Target Selection in Response to Microstimulation of the Oculomotor System.

Mohsen Rakhshan, Robert J Schafer, Tirin Moore, Alireza Soltani

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mohsen RakhshanDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida 32816.
Robert J SchaferDepartment of Neurobiology, Stanford University School of Medicine, Stanford, California 94305.
Tirin MooreDepartment of Neurobiology, Stanford University School of Medicine, Stanford, California 94305.
Alireza SoltaniDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755 soltani@dartmouth.edu.ORCID https://orcid.org/0000-0003-4386-8486

Funding

Interaction of Visual and Oculomotor Signals in CortexR01EY014924 · NEI · STANFORD UNIVERSITY · PI MOORE, TIRIN · 2004 to 2024
$7.3M
Interaction of Visual and Oculomotor Signals in CortexR56EY014924 · NEI · STANFORD UNIVERSITY · PI MOORE, TIRIN · 2009 to 2009
$398k
NEI NIH HHS R01 EY014924NEI NIH HHS R56 EY014924
6 · The paper itself

Abstract

Despite its prevalence in studying the causal roles of different brain circuits in cognitive processes, electrical microstimulation often results in inconsistent behavioral effects. These inconsistencies are assumed to be due to multiple mechanisms, including habituation, compensation by other brain circuits, and contralateral suppression. Considering the presence of reinforcement in most experimental paradigms, we hypothesized that interactions between reward feedback and microstimulation could contribute to inconsistencies in behavioral effects of microstimulation. To test this, we analyzed data from electrical microstimulation of the frontal eye field of male macaques during a value-based decision-making task and constructed network models to capture choice behavior. We found evidence for microstimulation-dependent adaptation in saccadic choice, such that in stimulated trials, monkeys' choices were biased toward the target in the response field of the microstimulated site (

Indexed as

Choice BehaviorSaccadesAdaptation, PhysiologicalAnimalsElectric StimulationMacaca mulattaMaleModels, NeurologicalPhotic StimulationPsychomotor PerformanceRewarddecision-makingfrontal eye fieldlearningmicrostimulationreward

Identifiers

PMID39516041
PMCPMC11735662

What OpenQuestion holds

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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.