Evidence map›Paper›PMID 40054761›Full record

ArticleNeuroImage2025

Effector general representation of movement goals in human frontal and parietal cortex.

Ziyi Duan, Marissa H Evans, Bonnie Lawrence, Clayton E Curtis

Abstract read
In one paragraph

Article in NeuroImage, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ziyi DuanDepartment of Psychology, New York University, New York, NY 10003, USA.
Marissa H EvansDepartment of Psychology, New York University, New York, NY 10003, USA.
Bonnie LawrenceDepartment of Psychology, New York University, New York, NY 10003, USA.
Clayton E CurtisDepartment of Psychology, New York University, New York, NY 10003, USA; Center for Neural Science, New York University, New York, NY 10003, USA. Electronic address: clayton.curtis@nyu.edu.

Funding

Putting Priority Map Theory to the TestR01EY016407 · NEI · NEW YORK UNIVERSITY · PI CURTIS, CLAYTON E · 2006 to 2023
$5.8M
Deep sampling of cognitive effects in the human visual systemR01EY034118 · NEI · UNIVERSITY OF MINNESOTA · PI CLAYTON E CURTIS, Kendrick Norris Kay · 2023 to 2026
$1.9M
The Nature of Working Memory RepresentationsR01EY033925 · NEI · NEW YORK UNIVERSITY · PI CURTIS, CLAYTON E · 2022 to 2025
$1.5M
Training program in computational approaches to brain and behaviorR90DA060339 · NIDA · NEW YORK UNIVERSITY · PI Wei Ji Ma · 2023 to 2026
$1.3M
NEI NIH HHS R01 EY016407NEI NIH HHS R01 EY033925NEI NIH HHS R01 EY034118NIDA NIH HHS R90 DA060339
6 · The paper itself

Abstract

In the nonhuman primate, discrete parts of premotor frontal and parietal cortex appear to code for movements of different effectors. However, the evidence regarding homologous effector selectivity within the human brain remains inconclusive. Here, we measured neural activity in the human brain using functional magnetic resonance imaging while participants remembered a target location and planned either saccades or reaches that matched the rich kinematics used in seminal monkey studies. We compared activity patterns during the planning period and used assumption-free multivariate searchlight analysis to identify brain regions that could decode the spatial goals of planned movements. Critically, we performed two types of decoding analyses to determine if the spatial information embedded in activation patterns was effector-specific or effector-general. For effector-specific spatial coding, we compared brain regions that could decode target locations within each effector. However, we did not identify areas that coded spatial information in one effector but not the other. For effector-general spatial coding, we performed spatial decoding using trials across effectors and conducted cross-effector decoding. Both analyses identified several areas in the frontal and parietal regions that encoded spatial information for both effectors, including precentral sulcus, superior parietal lobe, and intraparietal sulcus. Our results indicate that premotor frontal and parietal cortex encode the spatial metrics of movement goals that can be read out and converted into effector-specific motor metrics for saccades and reaches.

Indexed as

Frontal LobeGoalsParietal LobePsychomotor PerformanceSaccadesSpace PerceptionAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMovementYoung AdultDecodingFrontal cortexFrontal eye fieldMotor planningParietal cortexParietal reach regionPremotorReachSaccadeWorking memory

Identifiers

PMID40054761
PMCPMC12308508

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.