{"id":601413,"date":"2023-01-26T06:49:22","date_gmt":"2023-01-26T12:49:22","guid":{"rendered":"https:\/\/news.sellorbuyhomefast.com\/index.php\/2023\/01\/26\/an-als-patient-set-a-record-for-communicating-via-a-brain-implant-62-words-per-minute\/"},"modified":"2023-01-26T06:49:22","modified_gmt":"2023-01-26T12:49:22","slug":"an-als-patient-set-a-record-for-communicating-via-a-brain-implant-62-words-per-minute","status":"publish","type":"post","link":"https:\/\/newsycanuse.com\/index.php\/2023\/01\/26\/an-als-patient-set-a-record-for-communicating-via-a-brain-implant-62-words-per-minute\/","title":{"rendered":"An ALS patient set a record for communicating via a brain implant: 62 words per minute"},"content":{"rendered":"<div>\n<p>Eight years ago, a patient lost her power of speech because of ALS, or Lou Gehrig\u2019s disease, which causes progressive paralysis. She can still make sounds, but her words have become unintelligible, leaving her reliant on a writing board or iPad to communicate.<\/p>\n<p>Now, after volunteering to receive a brain implant, the woman has been able to rapidly communicate phrases like \u201cI don\u2019t own my home\u201d and \u201cIt\u2019s just tough\u201d at a rate approaching normal speech.<\/p>\n<\/p><\/div>\n<div>\n<p>That is the claim <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2023.01.21.524489v1\">in a paper<\/a> published over the weekend on the website bioRxiv by a team at Stanford University. The study has not been formally reviewed by other researchers. The scientists say their volunteer, identified only as \u201csubject T12,\u201d smashed previous records by using the brain-reading implant to communicate at a rate of 62 words a minute, three times the previous best.<\/p>\n<p>Philip Sabes, a researcher at the University of California, San Francisco, who was not involved in the project, called the results a \u201cbig breakthrough\u201d and said that experimental brain-reading technology could be ready to leave the lab and become a useful product soon.\u00a0\u00a0<\/p>\n<p>\u201cThe performance in this paper is already at a level which many people who cannot speak would want, if the device were ready,\u201d says Sabes. \u201cPeople are going to want this.\u201d<\/p>\n<p>People without speech deficits typically talk at a rate of about 160 words a minute. Even in an era of keyboards, thumb-typing, emojis, and internet abbreviations, speech remains the fastest form of human-to-human communication.<\/p>\n<\/div>\n<div>\n<p>The new research was carried out at Stanford University. The preprint, published January 21, began drawing extra attention on Twitter and other social media because of the death the same day of its co-lead author, Krishna Shenoy, from pancreatic cancer.<\/p>\n<p>Shenoy had devoted his career to improving the speed of communication through brain interfaces, carefully maintaining <a href=\"https:\/\/web.stanford.edu\/~shenoy\/GroupPublications\/ComparingBCIperformance.pdf\">a list of records<\/a> on his laboratory website. In 2019, another volunteer Shenoy worked with managed to use his thoughts to type at a rate of 18 words a minute, a record performance at the time, as<a href=\"https:\/\/www.technologyreview.com\/2021\/10\/27\/1036821\/brain-computer-interface-implant-mouse\/\"> we related<\/a> in MIT Technology Review\u2019s special issue on computing.<\/p>\n<p>The brain-computer interfaces that Shenoy\u2019s team works with involve a small pad of sharp electrodes embedded in a person\u2019s motor cortex, the brain region most involved in movement. This allows researchers to record activity from a few dozen neurons at once and find patterns that reflect what motions someone is thinking of, even if the person is paralyzed.<\/p>\n<p>In previous work, paralyzed volunteers have been asked to imagine making hand movements. By \u201cdecoding\u201d their neural signals in real time, implants have let them steer a cursor around a screen, pick out letters on a virtual keyboard, play video games, or even <a href=\"https:\/\/www.technologyreview.com\/2014\/06\/17\/172276\/the-thought-experiment\/\">control a robotic arm<\/a>.<\/p>\n<\/p><\/div>\n<div>\n<p>In the new research, the Stanford team wanted to know if neurons in the motor cortex contained useful information about speech movements, too. That is, could they detect how \u201csubject T12\u201d was trying to move her mouth, tongue, and vocal cords as she attempted to talk?<\/p>\n<p>These are small, subtle movements, and according to Sabes, one big discovery is that just a few neurons contained enough information to let a computer program predict, with good accuracy, what words the patient was trying to say. That information was conveyed by Shenoy\u2019s team to a computer screen, where the patient\u2019s words appeared as they were spoken by the computer.<\/p>\n<p>The new result builds on previous work by Edward Chang at the University of California, San Francisco, who has written that speech involves the<a href=\"https:\/\/spectrum.ieee.org\/brain-computer-interface-speech\"> most complicated movements people make<\/a>. We push out air, add vibrations that make it audible, and form it into words with our mouth, lips, and tongue. To make the sound \u201cf,\u201d you put your top teeth on your lower lip and push air out\u2014just one of dozens of mouth movements needed to speak.\u00a0\u00a0<\/p>\n<h3>A path forward<\/h3>\n<p>Chang previously used electrodes placed on top of the brain to permit a volunteer to speak through a computer, but in their preprint, the Stanford researchers say their system is more accurate and three to four times faster.<\/p>\n<p>\u201cOur results show a feasible path forward to restore communication to people with paralysis at conversational speeds,\u201d wrote the researchers, who included Shenoy and neurosurgeon Jaimie Henderson.<\/p>\n<p>David Moses, who works with Chang\u2019s team at UCSF, says the current work reaches \u201cimpressive new performance benchmarks.\u201d Yet even as records continue to be broken, he says, \u201cit will become increasingly important to demonstrate stable and reliable performance over multi-year time scales.\u201d Any commercial brain implant could have a difficult time getting past regulators, especially if it degrades over time or if the accuracy of the recording falls off.<\/p>\n<figure><video controls src=\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2023\/01\/media2-clip.mp4\"><\/video><figcaption>A 67-year-old ALS patients broke speed records using a brain implant to communicate. The implanted device uses neural signals to detect the words she is trying to say, conveying them to a computer screen. <\/figcaption><p>WILLETT, KUNZ ET AL<\/p>\n<\/figure>\n<p>The path forward is likely to include both more sophisticated implants and closer integration with artificial intelligence.\u00a0<\/p>\n<p>The current system already uses a couple of types of machine learning programs. To improve its accuracy, the Stanford team employed software that predicts what word typically comes next in a sentence. \u201cI\u201d is more often followed by \u201cam\u201d than \u201cham,\u201d even though these words sound similar and could produce similar patterns in someone\u2019s brain.\u00a0<\/p>\n<\/p><\/div>\n<div>\n<p>Adding the word prediction system increased how quickly the subject could speak without mistakes.\u00a0\u00a0<\/p>\n<h3>Language models<\/h3>\n<p>But newer \u201clarge\u201d language models, like GPT-3, are capable of writing entire essays and answering questions. Connecting these to brain interfaces could enable people using the system to speak even faster, just because the system will be better at guessing what they are trying to say on the basis of partial information. \u201cThe success of large language models over the last few years makes me think that a speech prosthesis is close at hand, because maybe you don\u2019t need such an impressive input to get speech out,\u201d says Sabes.<\/p>\n<p>Shenoy\u2019s group is part of a consortium called<a href=\"https:\/\/www.braingate.org\/\"> BrainGate<\/a> that has placed electrodes into the brains of more than a dozen volunteers. They use an implant called the Utah Array, a rigid metal square with about 100 needle-like electrodes.<\/p>\n<p>Some companies, including Elon Musk\u2019s brain interface company, <a href=\"https:\/\/www.technologyreview.com\/2020\/08\/30\/1007786\/elon-musks-neuralink-demo-update-neuroscience-theater\/\">Neuralink<\/a>, and a startup called Paradromics, say they have developed more modern interfaces that can record from thousands\u2014even tens of thousands\u2014of neurons at once. <\/p>\n<p>While some skeptics have asked whether measuring from more neurons at one time will make any difference, the new report suggests it will, especially if the job is to brain-read complex movements such as speech.<\/p>\n<p>The Stanford scientists found that the more neurons they read from at once, the fewer errors they made in understanding what \u201cT12\u201d was trying to say.<\/p>\n<p>\u201cThis is a big deal, because it suggests efforts by companies like Neuralink to put 1,000 electrodes into the brain will make a difference, if the task is sufficiently rich,\u201d says Sabes, who previously worked as a senior scientist at Neuralink. <svg viewBox=\"0 0 1091.84 1091.84\"><polygon fill=\"#6d6e71\" points=\"363.95 0 363.95 1091.84 727.89 1091.84 727.89 363.95 363.95 0\" \/><polygon fill=\"#939598\" points=\"363.95 0 728.24 365.18 1091.84 364.13 1091.84 0 363.95 0\" \/><polygon fill=\"#414042\" points=\"0 0 0 0.03 0 363.95 363.95 363.95 363.95 0 0 0\" \/><\/svg> <\/p>\n<\/div>\n<p><a href=\"https:\/\/www.technologyreview.com\/2023\/01\/24\/1067226\/an-als-patient-set-a-record-for-communicating-via-a-brain-implant-62-words-per-minute\/\" class=\"button purchase\" rel=\"nofollow noopener\" target=\"_blank\">Read More<\/a><br \/>\n Antonio Regalado<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Eight years ago, a patient lost her power of speech because of ALS, or Lou Gehrig\u2019s disease, which causes progressive paralysis. She can still make sounds, but her words have become unintelligible, leaving her reliant on a writing board or iPad to communicate. Now, after volunteering to receive a brain implant, the woman has been<\/p>\n","protected":false},"author":1,"featured_media":601414,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3655,3543,46],"tags":[],"class_list":["post-601413","post","type-post","status-publish","format-standard","has-post-thumbnail","category-patient","category-record","category-technology"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/601413","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/comments?post=601413"}],"version-history":[{"count":0,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/601413\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media\/601414"}],"wp:attachment":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media?parent=601413"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/categories?post=601413"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/tags?post=601413"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}