Evidence map›Paper›PMID 31680806›Full record

ArticleFrontiers in neuroscience2019

Sensorimotor ECoG Signal Features for BCI Control: A Comparison Between People With Locked-In Syndrome and Able-Bodied Controls.

Zachary V Freudenburg, Mariana P Branco, Sacha Leinders, Benny H van der Vijgh, Elmar G M Pels, Timothy Denison, Leonard H van den Berg, Kai J Miller, Erik J Aarnoutse, Nick F Ramsey and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02224469 (Utrecht Neural Prosthesis), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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.

NCT02224469 nacompletednot on this map

Utrecht Neural Prosthesis (UNP): A Pilot Study on Controllability of Brain Signals and Application in locked-in Patients

TypeinterventionalSponsorUMC UtrechtRan2015 to 2024Enrolled6ConditionsLocked-In SyndromeArmsECoG (electrocorticography) sensing
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  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
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Locked-in syndrome revisited.Therapeutic advances in neurological disorders · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. MEG Sensor Selection for Neural Speech Decoding.IEEE access : practical innovations, open solutions · 2020
    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

11 authors at 2 institutions in 2 countries.

Zachary V FreudenburgUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Mariana P BrancoUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Sacha LeindersUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Benny H van der VijghUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Elmar G M PelsUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Timothy DenisonDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Leonard H van den BergUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Kai J MillerUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Erik J AarnoutseUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Nick F RamseyUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
Mariska J VansteenselUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands.
University Medical Center Utrecht · NLScience Oxford · GB

Funding

Brain-Computer Interface Implant for Severe Communication DisabilityU01DC016686 · NIDCD · UNIVERSITY MEDICAL CENTER UTRECHT · PI CRONE, NATHAN E, RAMSEY, NICOLAS FRANCISCUS · 2018 to 2021
$2.5M
NIDCD NIH HHS U01 DC016686
6 · The paper itself

Abstract

The sensorimotor cortex is a frequently targeted brain area for the development of Brain-Computer Interfaces (BCIs) for communication in people with severe paralysis and communication problems (locked-in syndrome; LIS). It is widely acknowledged that this area displays an increase in high-frequency band (HFB) power and a decrease in the power of the low frequency band (LFB) during movement of, for example, the hand. Upon termination of hand movement, activity in the LFB band typically shows a short increase (rebound). The ability to modulate the neural signal in the sensorimotor cortex by imagining or attempting to move is crucial for the implementation of sensorimotor BCI in people who are unable to execute movements. This may not always be self-evident, since the most common causes of LIS, amyotrophic lateral sclerosis (ALS) and brain stem stroke, are associated with significant damage to the brain, potentially affecting the generation of baseline neural activity in the sensorimotor cortex and the modulation thereof by imagined or attempted hand movement. In the Utrecht NeuroProsthesis (UNP) study, a participant with LIS caused by ALS and a participant with LIS due to brain stem stroke were implanted with a fully implantable BCI, including subdural electrocorticography (ECoG) electrodes over the sensorimotor area, with the purpose of achieving ECoG-BCI-based communication. We noted differences between these participants in the spectral power changes generated by attempted movement of the hand. To better understand the nature and origin of these differences, we compared the baseline spectral features and task-induced modulation of the neural signal of the LIS participants, with those of a group of able-bodied people with epilepsy who received a subchronic implant with ECoG electrodes for diagnostic purposes. Our data show that baseline LFB oscillatory components and changes generated in the LFB power of the sensorimotor cortex by (attempted) hand movement differ between participants, despite consistent HFB responses in this area. We conclude that the etiology of LIS may have significant effects on the LFB spectral components in the sensorimotor cortex, which is relevant for the development of communication-BCIs for this population.

Indexed as

amyotrophic lateral sclerosisbrain-computer interfacebrain stem strokeelectrocorticographyhigh-frequency bandimplantlow-frequency bandsensorimotor cortex

Identifiers

PMID31680806
PMCPMC6805728
OpenAlexW2980346060

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.