Evidence map›Paper›PMID 37402376›Full record

ArticleCurrent biology : CB2023

Invariant neural dynamics drive commands to control different movements.

Vivek R Athalye, Preeya Khanna, Suraj Gowda, Amy L Orsborn, Rui M Costa, Jose M Carmena

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current biology : CB, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Striatal ensembles specify and control granular forelimb actions.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. 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

6 authors at 4 institutions in 1 country.

Vivek R AthalyeZuckerman Mind Brain Behavior Institute, Departments of Neuroscience and Neurology, Columbia University, New York, NY 10027, USA. Electronic address: va2371@columbia.edu.
Preeya KhannaDepartment of Neurology, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: pkhanna@berkeley.edu.
Suraj GowdaDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
Amy L OrsbornDepartments of Bioengineering, Electrical and Computer Engineering, University of Washington, Seattle, Seattle, WA 98195, USA.
Rui M CostaZuckerman Mind Brain Behavior Institute, Departments of Neuroscience and Neurology, Columbia University, New York, NY 10027, USA. Electronic address: rc3031@columbia.edu.
Jose M CarmenaDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA; UC Berkeley-UCSF Joint Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. Electronic address: jcarmena@berkeley.edu.
Columbia University · USUniversity of California, Berkeley · USUniversity of California, San Francisco · USUniversity of Washington · US

Funding

Modeling multi-area dynamics during motor controlU19NS104649 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSTA, RUI M. · 2017 to 2021
$15.3M
Neurophysiologically-informed Design of Flexible, 2-learner Brain-Machine Interfaces for Robust and Skillful PerformanceR01NS106094 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CARMENA, JOSE MIGUEL · 2018 to 2022
$1.7M
Connectivity Principles Underlying Network Dynamics and LearningK99NS128250 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ATHALYE, VIVEK · 2022 to 2023
$251k
Neural dynamics of somatosensory guidance of dexterous movement in intact and stroke-injured networksK99NS124748 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHANNA, PREEYA · 2021 to 2022
$222k
Unraveling constraints on motor cortical activity exploration and shaping during structural skill learning using large-scale 2-photon imaging and holographic optogenetic stimulationF32MH118714 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ATHALYE, VIVEK · 2018 to 2020
$203k
Neuromodulation approaches for restoring dexterous control following cortical stroke.F32MH120891 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHANNA, PREEYA · 2019 to 2021
$137k
NIMH NIH HHS F32 MH118714NIMH NIH HHS F32 MH120891NINDS NIH HHS K99 NS124748NINDS NIH HHS K99 NS128250NINDS NIH HHS R01 NS106094NINDS NIH HHS U19 NS104649
6 · The paper itself

Abstract

It has been proposed that the nervous system has the capacity to generate a wide variety of movements because it reuses some invariant code. Previous work has identified that dynamics of neural population activity are similar during different movements, where dynamics refer to how the instantaneous spatial pattern of population activity changes in time. Here, we test whether invariant dynamics of neural populations are actually used to issue the commands that direct movement. Using a brain-machine interface (BMI) that transforms rhesus macaques' motor-cortex activity into commands for a neuroprosthetic cursor, we discovered that the same command is issued with different neural-activity patterns in different movements. However, these different patterns were predictable, as we found that the transitions between activity patterns are governed by the same dynamics across movements. These invariant dynamics are low dimensional, and critically, they align with the BMI, so that they predict the specific component of neural activity that actually issues the next command. We introduce a model of optimal feedback control (OFC) that shows that invariant dynamics can help transform movement feedback into commands, reducing the input that the neural population needs to control movement. Altogether our results demonstrate that invariant dynamics drive commands to control a variety of movements and show how feedback can be integrated with invariant dynamics to issue generalizable commands.

Indexed as

Brain-Computer InterfacesMotor CortexAnimalsFeedbackMacaca mulattaMovementbrain-machine interfacesdynamical systemsmotor commandsmotor controlmotor cortexmovement representationsneural population dynamicsneuroprostheticsoptimal feedback control

Identifiers

PMID37402376
PMCPMC10527529
OpenAlexW4382937509

What OpenQuestion holds

Textmetadata
LicenceTDM
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.