Evidence map›Paper›PMID 42362714›Full record

ArticleCommunications biology2026

Duration-modulated neural population dynamics in humans during BMI controls.

Fei Yin, Charles Guan, Tyson Aflalo, Jorge Gamez, Kelsie Pejsa, Emily Rosario, Charles Liu, Ausaf Bari, Richard A Andersen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2026. 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

9 authors.

Fei YinDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. fyin@caltech.edu.ORCID http://orcid.org/0000-0002-7986-1617
Charles GuanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-8040-8844
Tyson AflaloDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-0101-2455
Jorge GamezDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-9481-4915
Kelsie PejsaDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Emily RosarioResearch Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, USA.
Charles LiuDepartment of Neurological Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-6423-8577
Ausaf BariDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-5279-5023
Richard A AndersenDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. richard.andersen@vis.caltech.edu.ORCID http://orcid.org/0000-0002-7947-0472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The motor cortex (MC) is often described as an autonomous dynamical system during movement execution. In an autonomous dynamical system, flexible movement generation depends on reconfiguring the initial conditions, which then unwind along known dynamics. An open question is whether these dynamics govern MC activity during brain-machine interface (BMI) control. We investigate MC activity during BMI cursor movements of multiple durations, ranging from hundreds of milliseconds to sustained over seconds. These durations are chosen to cover the range of movement durations necessary to control modern BMIs under varying precision levels. Movements share their MC initial condition with movements of different durations in the same direction. Long-duration movements sustain MC activity in a low-velocity steady state until each movement goal is reached. The difference across durations in MC population dynamics may be attributed to external inputs. Our results highlight the role of sustained inputs to MC during movement.

Indexed as

Brain-Computer InterfacesMotor CortexNeuronsHumansMovement

Identifiers

PMID42362714
PMCPMC13669311

What OpenQuestion holds

Textmetadata
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.