Evidence map›Paper›PMID 37461446›Full record

ArticlebioRxiv : the preprint server for biology2023

Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans.

L Bashford, I Rosenthal, S Kellis, D Bjånes, K Pejsa, B W Brunton, R A Andersen

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

L BashfordDivision of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA.
I RosenthalDivision of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA.
S KellisDivision of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA.
D BjånesDivision of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA.
K PejsaDivision of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA.
B W BruntonDepartment of Biology, University of Washington, Seattle, WA, USA.
R A AndersenDivision of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA.
California Institute of Technology · USUniversity of Washington · US

Funding

Smart MEMS recording systems for visual cortical studiesR01EY015545 · NEI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ANDERSEN, RICHARD A · 2005 to 2020
$9.6M
NEURAL PROSTHESIS USING POSTERIOR PARIETAL REACH REGIONR01EY013337 · NEI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ANDERSEN, RICHARD A · 2001 to 2015
$6.5M
NEI NIH HHS R01 EY013337NEI NIH HHS R01 EY015545
6 · The paper itself

Abstract

A crucial goal in brain-machine interfacing is long-term stability of neural decoding performance, ideally without regular retraining. Here we demonstrate stable neural decoding over several years in two human participants, achieved by latent subspace alignment of multi-unit intracortical recordings in posterior parietal cortex. These results can be practically applied to significantly expand the longevity and generalizability of future movement decoding devices.

Identifiers

PMID37461446
PMCPMC10350015
OpenAlexW4383498914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.