Evidence map›Paper›PMID 42580347›Full record

ArticleCurrent biology : CB2026

Preparatory encoding of intended movement in the human motor cortex and implications for brain-computer interfaces.

Mattia Rigotti-Thompson, Samuel R Nason-Tomaszewski, Payton H Bechefsky, Alexander Acosta, Nick V Hahn, Donald T Avansino, Brice A Richards, Claire Nicolas, Yahia H Ali, Jaimie M Henderson and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current biology : CB, 2026. 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

13 authors.

Mattia Rigotti-ThompsonWallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA.
Samuel R Nason-TomaszewskiWallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA.
Payton H BechefskyWallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA.
Alexander AcostaCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Nick V HahnDepartment of Neurosurgery, Stanford University, Stanford, CA 94304, USA.
Donald T AvansinoDepartment of Neurosurgery, Stanford University, Stanford, CA 94304, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Brice A RichardsWallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA.
Claire NicolasCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; School of Engineering, Brown University, Providence, RI 02912, USA.
Yahia H AliWallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA.
Jaimie M HendersonDepartment of Neurosurgery, Stanford University, Stanford, CA 94304, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Leigh R HochbergCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; School of Engineering, Brown University, Providence, RI 02912, USA; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA; VA Center for Neurorestoration and Neurotechnology, Department of Veterans' Affairs Medical Center, Providence, RI 02908, USA.
Nicholas AuYongWallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA; Department of Neurosurgery, Emory University, Atlanta, GA 30322, USA; Department of Cell Biology, Emory University, Atlanta, GA 30322, USA.
Chethan PandarinathWallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA; Department of Neurosurgery, Emory University, Atlanta, GA 30322, USA. Electronic address: chethan.pandarinath@emory.edu.

Funding

Engaging new cognitive and motor signals to improve communication prosthesesR01DC014034 · NIDCD · STANFORD UNIVERSITY · PI JAIMIE M HENDERSON · 2015 to 2026
$8.2M
Intuitive, complete neural control of tablet computers for communicationU01DC017844 · NIDCD · BROWN UNIVERSITY · PI HOCHBERG, LEIGH R · 2019 to 2025
$4.3M
Fusing motor neuroscience and artificial intelligence to create next-generation neural prostheses.DP2NS127291 · NINDS · EMORY UNIVERSITY · PI PANDARINATH, CHETHAN · 2021 to 2024
$2.4M
Restoring Dexterous Hand Function with Artificial Neural Network-Based Brain-Computer InterfacesF32HD112173 · NICHD · EMORY UNIVERSITY · PI NASON-TOMASZEWSKI, SAMUEL ROSS · 2023 to 2025
$221k
NICHD NIH HHS F32 HD112173NIDCD NIH HHS R01 DC014034NIDCD NIH HHS U01 DC017844NINDS NIH HHS DP2 NS127291
6 · The paper itself

Abstract

Over the course of a voluntary movement, motor cortical activity exhibits a transition from preparation to execution, with markedly different activity across these phases. Preparatory activity in particular might be used to improve brain-computer interfaces (BCIs) that harness brain activity to control external assistive devices, for example by anticipating a user's intended movement trajectory for quick and fluid performance. However, to leverage preparatory activity for clinical BCIs, we must first understand which features of upcoming movements are encoded by preparatory activity in humans. In this work, we collected intracortical recordings from 3 research participants in the BrainGate2 clinical trial to investigate whether diverse features of movement, such as direction, curvature, and distance, are encoded by preparatory activity in the human motor cortex. We first show that preparatory activity is tuned to the direction of upcoming movements, and this tuning is largely preserved across movements with different effectors. Further investigation demonstrated that this preparatory activity is also informative of initial and target directions of curved movement trajectories and encodes, to a weaker extent, either movement distance or speed. Finally, we present an online control paradigm that leverages preparatory activity to predict movements toward intended directions in advance, yielding rapid, user-initiated control of a computer cursor by human participants. Altogether, these results demonstrate that preparatory activity in the human motor cortex encodes rich features of upcoming movement, highlighting its potential use for high-performance BCI applications.

Indexed as

Brain-Computer InterfacesMotor CortexAdultFemaleHumansMaleMovementbrain-computer interfaceintracorticalmicroelectrode arraymotor cortexmotor preparationpreparatory activity

Identifiers

PMID42580347
PMCPMC13660358

What OpenQuestion holds

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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.