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Crone Lab

@Crone_Lab

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BCI & Cognitive Neurophysiology lab @ Johns Hopkins PI: Nathan Crone, MD

Baltimore
Joined August 2023
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@MJvanSteensel
Mariska Vansteensel
1 year
Check out the latest preprint of @UtrechtBCI! We report on day/night differences of BCI control signals and a dedicated decoder to enable reliable nocturnal BCI functionality for caregiver calls.
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medrxiv.org
Background and objectives Brain-computer interfaces ( BCIs ) hold promise as augmentative and alternative communication technology for people with severe motor and speech impairment (locked-in...
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@Crone_Lab
Crone Lab
1 year
We are pleased to share a recent news story about our first CortiCom participant. We are recruiting for our next participant. For more information, see: https://t.co/5GzeIxxenX https://t.co/w8m2LTICfU
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@MJvanSteensel
Mariska Vansteensel
1 year
Proud of the latest publication of the #UtrechtBCI group, published today in the New England Journal of Medicine. We show both the value and the limitations of implanted BCI technology as a communication solution for people with ALS. https://t.co/QSuH0aBLmE
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nejm.org
The durability of communication with the use of brain–computer interfaces in persons with progressive neurodegenerative disease has not been extensively examined. We report on 7 years of independen...
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@AngrickM
Miguel Angrick
2 years
I am very happy to share that our paper about synthesizing speech from ECoG signals has been published today in Scientific Reports. I am very grateful to our whole team and our participant who have made this work possible. Read the full study here:
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@Crone_Lab
Crone Lab
2 years
@Crone_Lab at Johns Hopkins is hiring a software engineer to develop communication applications for participants in clinical trials of brain implants. To learn more and submit your application: https://t.co/BGD7hKGF6i
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@JHUBME
Johns Hopkins BME
2 years
A brain-computer interface surgically implanted on the brain of an ALS patient has shown success in translating brain signals into computer commands, according to a new study led by @JohnsHopkins researchers. https://t.co/oCmX7vhBZo
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bme.jhu.edu
Participant with ALS uses an implantable device that reads electrical activity from the surface of the brain to reliably control devices like lights and TVs without daily recalibration.
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@UtrechtBCI
Utrecht BCI
2 years
Together with @bci_eli, @PedStrokeYYC, Alistair McEwan and others, @UtrechtBCI organizes a summit to lay out the roadmap towards implanted BCIs for pediatric populations. Register via ( https://t.co/6P3y7pZjmy) to join us (online) on February 5!
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@systeve_luo
Shiyu (Steve) Luo
2 years
Excited to share our new paper published today in Advanced Science https://t.co/bY5AagfTUA. We demonstrate a speech brain computer interface that can be used to reliably control home devices. We were able to maintain 90% median accuracy without decoder recalibration for 3 months.
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@Crone_Lab
Crone Lab
2 years
Have you read our latest preprint yet? We synthesized speech from the brain activity of an ALS patient. Interested in this study? We are recruiting more patients! Read all about it via
hopkinsmedicine.org
Two clinical trials using brain-computed interfaces are now recruiting participants. Learn more about eligibility and how to join.
@AngrickM
Miguel Angrick
2 years
I am very excited to share our recent work on @medrxivpreprint about an approach to synthesize speech from neural signals of an ALS patient. https://t.co/0Nr56YHCG8
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@HopkinsMedNews
Hopkins Med News
2 years
New brain implants show promise in restoring speech for those who have lost their ability to communicate due to neurological diseases such as ALS and brainstem stroke. Editorial by @crone_nathan
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nature.com
Nature - Thoughts converted to sentences at speeds nearing that of normal speech.
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@Crone_Lab
Crone Lab
2 years
Exciting time for the field! Two amazing studies were published this week on speech BCIs, demonstrating the huge potential of these systems. Our PI Nathan Crone wrote an article together with @UtrechtBCI's Nick Ramsey on these recent developments, read about it below 👇
@Nature
nature
2 years
Two brain–computer interfaces have been developed that bring unprecedented capabilities for translating brain signals into sentences — at speeds close to that of normal speech, and with vocabularies exceeding 1,000 words.
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