Evidence map›Paper›PMID 39716740›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2024

Dissociating goal from outcome during action observation.

Shuchen Liu, Moritz F Wurm, Alfonso Caramazza

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2024. 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. Pollutant-regulated mitophagy: new perspectives in environmental toxicology.Apoptosis : an international journal on programmed cell death · 2026
    Review
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

3 authors.

Shuchen LiuDepartment of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA 02138, United States.ORCID 0009-0007-4688-1711
Moritz F WurmCenter for Mind/Brain Sciences (CIMeC), University of Trento, Corso Bettini 31, 38068 Rovereto, Italy.ORCID 0000-0003-4358-9815
Alfonso CaramazzaDepartment of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA 02138, United States.

Funding

Provostial MBB Fund
6 · The paper itself

Abstract

Understanding the goal of an observed action requires computing representations that are invariant to specific instantiations of the action. For example, we can accurately infer the goal of an action even when the agent's desired outcome is not achieved. Observing actions consistently recruits a set of frontoparietal and posterior temporal regions, often labeled the "action observation network." While progress has been made in charting which regions of the action observation network are involved in understanding goals of observed actions, it is not clear where goals are represented independently of outcomes. We used functional magnetic resonance-based multivariate pattern analysis to identify such regions. Human participants (20 females, 12 males) watched videos of successful and failed attempts of actions with different goals involving two different object types. We found that the bilateral anterior inferior parietal lobe and the right ventral premotor cortex distinguished between object-specific action goals regardless of outcomes. The left anterior inferior parietal lobe encodes action goals regardless of both outcomes and object types. Our results provide insights into the neural basis of representing action goals and the different roles of frontoparietal and posterior temporal regions in action understanding.

Indexed as

Brain MappingGoalsMagnetic Resonance ImagingAdultBrainFemaleHumansMaleParietal LobePhotic StimulationPsychomotor PerformanceYoung Adultaction goalsaction understandingfMRI

Identifiers

PMID39716740
PMCPMC11666468

What OpenQuestion holds

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LicenceCC BY-NC
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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.