Evidence map›Paper›PMID 41293018›Full record

ArticlebioRxiv : the preprint server for biology2025

Hierarchical and Context-Dependent Encoding of Actions in Human Posterior Parietal and Motor Cortex.

V Bougou, J Gamez, E R Rosario, C Liu, K Pejsa, A Bari, R A Andersen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

V BougouDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.ORCID 0000-0001-8493-3673
J GamezDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.
E R RosarioCasa Colina Hospital and Center for Healthcare, Pomona, CA.ORCID 0000-0002-1540-197X
C LiuCasa Colina Hospital and Center for Healthcare, Pomona, CA.
K PejsaDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.
A BariDepartment of Neurological Surgery, Keck School of Medicine of USC, Neurological Surgery, Los Angeles, CA.ORCID 0000-0002-5279-5023
R A AndersenDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.

Funding

Visuomotor Prosthetic for ParalysisUG1EY032039 · NEI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI RICHARD A ANDERSEN · 2021 to 2026
$4.8M
NEI NIH HHS UG1 EY032039
6 · The paper itself

Abstract

Action understanding requires internal models that link vision to motor goals. In monkeys, mirror neurons demonstrate motor resonance during observation, but single-unit evidence in humans is limited, leaving open whether such representations rely solely on motor resonance. We recorded neural activity from motor cortex (MC) and superior parietal lobule (SPL) in two tetraplegic participants implanted with Utah arrays while they intended or observed hand actions. MC strongly encoded intention but showed only weak, feature-specific overlap during observation, evident primarily at the population level. SPL, in contrast, supported shared models across intended movement and observation formats at both single-unit and population levels. In variants with incongruent instructed and observed actions, SPL encoded observed actions only when behaviorally relevant, whereas MC remained intention-dominant. Our results identify a context-dependent gating mechanism in SPL and suggest a hierarchical organization in which MC maintains intention-specific codes while SPL flexibly links observed input with internal goals to support action understanding.

Identifiers

PMID41293018
PMCPMC12642601

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.