Evidence map›Paper›PMID 39557568›Full record

ArticleeNeuro2024

Neural Encoding of Direction and Distance across Reference Frames in Visually Guided Reaching.

Alejandra Harris Caceres, Deborah A Barany, Neil M Dundon, Jolinda Smith, Michelle Marneweck

Abstract read
In one paragraph

Article in eNeuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Alejandra Harris CaceresDepartment of Human Physiology, University of Oregon, Eugene, Oregon 97403.
Deborah A BaranyDepartment of Kinesiology, University of Georgia, Athens, Georgia 30602.ORCID 0000-0002-1619-1513
Neil M DundonDepartment of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, California 93106.
Jolinda SmithDepartment of Human Physiology, University of Oregon, Eugene, Oregon 97403.
Michelle MarneweckDepartment of Human Physiology, University of Oregon, Eugene, Oregon 97403 mmar@uoregon.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Goal-directed actions require transforming sensory information into motor plans defined across multiple parameters and reference frames. Substantial evidence supports the encoding of target direction in gaze- and body-centered coordinates within parietal and premotor regions. However, how the brain encodes the equally critical parameter of target distance remains less understood. Here, using Bayesian pattern component modeling of fMRI data during a delayed reach-to-target task, we dissociated the neural encoding of both target direction and the relative distances between target, gaze, and hand at early and late stages of motor planning. This approach revealed independent representations of direction and distance along the human dorsomedial reach pathway. During early planning, most premotor and superior parietal areas encoded a target's distance in single or multiple reference frames and encoded its direction. In contrast, distance encoding was magnified in gaze- and body-centric reference frames during late planning. These results emphasize a flexible and efficient human central nervous system that achieves goals by remapping sensory information related to multiple parameters, such as distance and direction, in the same brain areas.

Indexed as

Magnetic Resonance ImagingPsychomotor PerformanceAdultBayes TheoremBrainBrain MappingFemaleHumansMaleMotor ActivityParietal LobeSpace PerceptionYoung AdultfMRIgoal-directed actionmotor planningreachingreference framesrepresentational similarity analysessensorimotor transformation

Identifiers

PMID39557568
PMCPMC11617137

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Registered trials

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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.