Evidence map›Paper›PMID 26560357›Full record

ArticleScience translational medicine2015

Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface.

Beata Jarosiewicz, Anish A Sarma, Daniel Bacher, Nicolas Y Masse, John D Simeral, Brittany Sorice, Erin M Oakley, Christine Blabe, Chethan Pandarinath, Vikash Gilja and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 1 pooled it
–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

150 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Association between lesion location and sensorimotor rhythms in stroke - a systematic review with narrative synthesis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Pooled it
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  14. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  15. Premotor cortex uses a compositional neural geometry to plan words.bioRxiv : the preprint server for biology · 2026
    Article
  16. Article
  17. Review
  18. [Neuroprosthetics].Chirurgie (Heidelberg, Germany) · 2026
    Review
  19. Article
  20. Article

90 more citing papers are in PubMed but not listed here.

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

17 authors.

Beata JarosiewiczDepartment of Neuroscience, Brown University, Providence, RI 02912, USA. Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI 02908, USA. Brown Institute for Brain Science, Brown University, Providence, RI 02912, USA. beata@brown.edu.
Anish A SarmaCenter for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI 02908, USA. Brown Institute for Brain Science, Brown University, Providence, RI 02912, USA. School of Engineering, Brown University, Providence, RI 02912, USA.
Daniel BacherBrown Institute for Brain Science, Brown University, Providence, RI 02912, USA. Brown Institute for Brain Science, Brown University, Providence, RI 02912, USA.
Nicolas Y MasseDepartment of Neuroscience, Brown University, Providence, RI 02912, USA. Brown Institute for Brain Science, Brown University, Providence, RI 02912, USA.
John D SimeralCenter for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI 02908, USA. Brown Institute for Brain Science, Brown University, Providence, RI 02912, USA. School of Engineering, Brown University, Providence, RI 02912, USA. Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA.
Brittany SoriceDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA.
Erin M OakleyDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA.
Christine BlabeDepartment of Neurosurgery, Stanford University, Stanford, CA 94305, USA.
Chethan PandarinathDepartment of Neurosurgery, Stanford University, Stanford, CA 94305, USA. Stanford Neurosciences Institute, Stanford University, Stanford, CA 94305, USA. Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Vikash GiljaSchool of Engineering, Brown University, Providence, RI 02912, USA. Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA. Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Sydney S CashDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA. Department of Neurology, Harvard Medical School, Boston, MA 02115, USA.
Emad N EskandarNeurosurgery, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02115, USA.
Gerhard FriehsNeurosurgery, Rhode Island Hospital, Providence, RI 02903, USA.
Jaimie M HendersonDepartment of Neurosurgery, Stanford University, Stanford, CA 94305, USA. Stanford Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Krishna V ShenoyStanford Neurosciences Institute, Stanford University, Stanford, CA 94305, USA. Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA. Department of Neurobiology, Stanford University, Stanford, CA 94305, USA. Department of Bioengineering, Stanford University, Stanford, CA 94305, USA. Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
John P DonoghueCenter for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI 02908, USA. Department of Neuroscience, Brown University, Providence, RI 02912, USA. Brown Institute for Brain Science, Brown University, Providence, RI 02912, USA. School of Engineering, Brown University, Providence, RI 02912, USA.
Leigh R HochbergCenter for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI 02908, USA. Brown Institute for Brain Science, Brown University, Providence, RI 02912, USA. School of Engineering, Brown University, Providence, RI 02912, USA. Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA. Department of Neurology, Harvard Medical School, Boston, MA 02115, USA.

Funding

Engaging new cognitive and motor signals to improve communication prosthesesR01DC014034 · NIDCD · STANFORD UNIVERSITY · PI JAIMIE M HENDERSON · 2015 to 2026
$8.2M
Restoring Communication with an Intracortical Neural Interface SystemR01DC009899 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI HOCHBERG, LEIGH R · 2009 to 2017
$7.0M
Toward an Animal Model of Freely Moving HumansR01NS066311 · NINDS · STANFORD UNIVERSITY · PI BLACK, MICHAEL J, SHENOY, KRISHNA V · 2009 to 2012
$2.9M
Cortical Control of an Assistive Robotic ArmRC1HD063931 · NICHD · BROWN UNIVERSITY · PI DONOGHUE, JOHN P · 2009 to 2010
$951k
Influencing Children's Beliefs Through LanguageR03HD053403 · NICHD · UNIVERSITY OF VIRGINIA · PI KEEN, RACHEL ELIZABETH · 2007 to 2008
$150k
Mobile Signal Processing System for Broadband Neural DecodingI01RX001155 · VA · PROVIDENCE VA MEDICAL CENTER · PI SIMERAL, JOHN DAVID · 2014 to 2018
–
NICHD NIH HHS N01 HD053403NICHD NIH HHS N01HD10018NICHD NIH HHS RC1 HD063931NICHD NIH HHS RC1HD063931NIDCD NIH HHS R01 DC009899NIDCD NIH HHS R01DC009899NIDCD NIH HHS R01 DC014034NIDCD NIH HHS R01DC014034NINDS NIH HHS R01 NS066311NINDS NIH HHS R01NS066311-S1RRD VA I01 RX001155
6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) promise to restore independence for people with severe motor disabilities by translating decoded neural activity directly into the control of a computer. However, recorded neural signals are not stationary (that is, can change over time), degrading the quality of decoding. Requiring users to pause what they are doing whenever signals change to perform decoder recalibration routines is time-consuming and impractical for everyday use of BCIs. We demonstrate that signal nonstationarity in an intracortical BCI can be mitigated automatically in software, enabling long periods (hours to days) of self-paced point-and-click typing by people with tetraplegia, without degradation in neural control. Three key innovations were included in our approach: tracking the statistics of the neural activity during self-timed pauses in neural control, velocity bias correction during neural control, and periodically recalibrating the decoder using data acquired during typing by mapping neural activity to movement intentions that are inferred retrospectively based on the user's self-selected targets. These methods, which can be extended to a variety of neurally controlled applications, advance the potential for intracortical BCIs to help restore independent communication and assistive device control for people with paralysis.

Indexed as

Brain-Computer InterfacesSelf-Help DevicesAmyotrophic Lateral SclerosisCalibrationFemaleHumansMaleMotor CortexQuadriplegiaStroke

Identifiers

PMID26560357
PMCPMC4765319

What OpenQuestion holds

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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.