Evidence map›Paper›PMID 39061384›Full record

ArticleBrain sciences2024

Motor Intentions Decoded from fMRI Signals.

Sergio Ruiz, Sangkyun Lee, Josue Luiz Dalboni da Rocha, Ander Ramos-Murguialday, Emanuele Pasqualotto, Ernesto Soares, Eliana García, Eberhard Fetz, Niels Birbaumer, Ranganatha Sitaram

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

10 authors.

Sergio RuizPsychiatry Department, Interventional Psychiatric Unit, Interdisciplinary Center for Neurosciences, Medicine School, Pontificia Universidad Católica de Chile, Santiago 8320165, Chile.ORCID 0000-0002-6963-4285
Sangkyun LeeIndependent Researcher, Newton, MA 02459, USA.
Josue Luiz Dalboni da RochaDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Ander Ramos-MurguialdayInstitute of Medical and Behavioral Neurobiology, University of Tubingen, 72076 Tübingen, Germany.
Emanuele PasqualottoIndependent Researcher, 1200 Bruxelles, Belgium.
Ernesto SoaresCoimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0009-0002-9931-399X
Eliana GarcíaBayer AG, 13342 Berlin, Germany.
Eberhard FetzDepartments of Physiology and Biophysics and DXARTS, Washington National Primate Research Center, University of Washington, Seattle, WA 98195, USA.
Niels BirbaumerDipartimento di Neuroscienze (DNS), Universita degli Studi di Padova, 35131 Padova, Italy.
Ranganatha SitaramPsychiatry Department, Interventional Psychiatric Unit, Interdisciplinary Center for Neurosciences, Medicine School, Pontificia Universidad Católica de Chile, Santiago 8320165, Chile.ORCID 0000-0002-8577-8035

Funding

Agencia Nacional de Investigación y Desarrollo 1211510
6 · The paper itself

Abstract

Motor intention is a high-level brain function related to planning for movement. Although studies have shown that motor intentions can be decoded from brain signals before movement execution, it is unclear whether intentions relating to mental imagery of movement can be decoded. Here, we investigated whether differences in spatial and temporal patterns of brain activation were elicited by intentions to perform different types of motor imagery and whether the patterns could be used by a multivariate pattern classifier to detect such differential intentions. The results showed that it is possible to decode intentions before the onset of different types of motor imagery from functional MR signals obtained from fronto-parietal brain regions, such as the premotor cortex and posterior parietal cortex, while controlling for eye movements and for muscular activity of the hands. These results highlight the critical role played by the aforementioned brain regions in covert motor intentions. Moreover, they have substantial implications for rehabilitating patients with motor disabilities.

Indexed as

brain–computer interfacesfMRIfrontal lobemotor imaginarymotor intentionneurorehabilitationparietal lobe

Identifiers

PMID39061384
PMCPMC11274965

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.