Evidence map›Paper›PMID 38784005›Full record

ArticleiScience2024

The relativity of reaching: Motion of the touched surface alters the trajectory of hand movements.

Colleen P Ryan, Simone Ciotti, Priscilla Balestrucci, Antonio Bicchi, Francesco Lacquaniti, Matteo Bianchi, Alessandro Moscatelli

Abstract read
In one paragraph

Article in iScience, 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. 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

7 authors.

Colleen P RyanDepartment of Systems Medicine and Centre of Space Biomedicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Simone CiottiLaboratory of Neuromotor Physiology, Santa Lucia Foundation IRCCS, 00179 Rome, Italy.
Priscilla BalestrucciLaboratory of Neuromotor Physiology, Santa Lucia Foundation IRCCS, 00179 Rome, Italy.
Antonio BicchiResearch Centre E. Piaggio and Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
Francesco LacquanitiDepartment of Systems Medicine and Centre of Space Biomedicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Matteo BianchiResearch Centre E. Piaggio and Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
Alessandro MoscatelliDepartment of Systems Medicine and Centre of Space Biomedicine, University of Rome Tor Vergata, 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For dexterous control of the hand, humans integrate sensory information and prior knowledge regarding their bodies and the world. We studied the role of touch in hand motor control by challenging a fundamental prior assumption-that self-motion of inanimate objects is unlikely upon contact. In a reaching task, participants slid their fingertips across a robotic interface, with their hand hidden from sight. Unbeknownst to the participants, the robotic interface remained static, followed hand movement, or moved in opposition to it. We considered two hypotheses. Either participants were able to account for surface motion or, if the stationarity assumption held, they would integrate the biased tactile cues and proprioception. Motor errors consistent with the latter hypothesis were observed. The role of visual feedback, tactile sensitivity, and friction was also investigated. Our study carries profound implications for human-machine collaboration in a world where objects may no longer conform to the stationarity assumption.

Indexed as

Cognitive neuroscienceComputing methodologySensory neuroscience

Identifiers

PMID38784005
PMCPMC11112373

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.