Literature DB >> 29694279

Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals.

Tomislav Milekovic1,2,3, Anish A Sarma2,4,5, Daniel Bacher2,4, John D Simeral2,4,5, Jad Saab2,4, Chethan Pandarinath6,7,8, Brittany L Sorice9, Christine Blabe6, Erin M Oakley9, Kathryn R Tringale9, Emad Eskandar10,11, Sydney S Cash11,9, Jaimie M Henderson6,12,8, Krishna V Shenoy7,13,14,15,8,16, John P Donoghue1,2,5, Leigh R Hochberg2,4,5,11,9.   

Abstract

Restoring communication for people with locked-in syndrome remains a challenging clinical problem without a reliable solution. Recent studies have shown that people with paralysis can use brain-computer interfaces (BCIs) based on intracortical spiking activity to efficiently type messages. However, due to neuronal signal instability, most intracortical BCIs have required frequent calibration and continuous assistance of skilled engineers to maintain performance. Here, an individual with locked-in syndrome due to brain stem stroke and an individual with tetraplegia secondary to amyotrophic lateral sclerosis (ALS) used a simple communication BCI based on intracortical local field potentials (LFPs) for 76 and 138 days, respectively, without recalibration and without significant loss of performance. BCI spelling rates of 3.07 and 6.88 correct characters/minute allowed the participants to type messages and write emails. Our results indicate that people with locked-in syndrome could soon use a slow but reliable LFP-based BCI for everyday communication without ongoing intervention from a technician or caregiver. NEW & NOTEWORTHY This study demonstrates, for the first time, stable repeated use of an intracortical brain-computer interface by people with tetraplegia over up to four and a half months. The approach uses local field potentials (LFPs), signals that may be more stable than neuronal action potentials, to decode participants' commands. Throughout the several months of evaluation, the decoder remained unchanged; thus no technical interventions were required to maintain consistent brain-computer interface operation.

Entities:  

Keywords:  amyotrophic lateral sclerosis; brain-computer interface; communication; local field potentials; long-term stability; people with locked-in syndrome

Mesh:

Year:  2018        PMID: 29694279      PMCID: PMC6093965          DOI: 10.1152/jn.00493.2017

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  85 in total

1.  Effects of insertion conditions on tissue strain and vascular damage during neuroprosthetic device insertion.

Authors:  C S Bjornsson; S J Oh; Y A Al-Kofahi; Y J Lim; K L Smith; J N Turner; S De; B Roysam; W Shain; S J Kim
Journal:  J Neural Eng       Date:  2006-06-21       Impact factor: 5.379

2.  Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?

Authors:  A Kübler; N Birbaumer
Journal:  Clin Neurophysiol       Date:  2008-09-27       Impact factor: 3.708

3.  High performance communication by people with paralysis using an intracortical brain-computer interface.

Authors:  Chethan Pandarinath; Paul Nuyujukian; Christine H Blabe; Brittany L Sorice; Jad Saab; Francis R Willett; Leigh R Hochberg; Krishna V Shenoy; Jaimie M Henderson
Journal:  Elife       Date:  2017-02-21       Impact factor: 8.140

4.  Performance sustaining intracortical neural prostheses.

Authors:  Paul Nuyujukian; Jonathan C Kao; Joline M Fan; Sergey D Stavisky; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neural Eng       Date:  2014-10-13       Impact factor: 5.379

5.  Brain-computer interfaces in amyotrophic lateral sclerosis: A metanalysis.

Authors:  Mauro Marchetti; Konstantinos Priftis
Journal:  Clin Neurophysiol       Date:  2014-10-02       Impact factor: 3.708

6.  Against all odds: positive life experiences of people with advanced amyotrophic lateral sclerosis.

Authors:  J M Young; P McNicoll
Journal:  Health Soc Work       Date:  1998-02

7.  A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

Authors:  F Nijboer; E W Sellers; J Mellinger; M A Jordan; T Matuz; A Furdea; S Halder; U Mochty; D J Krusienski; T M Vaughan; J R Wolpaw; N Birbaumer; A Kübler
Journal:  Clin Neurophysiol       Date:  2008-06-20       Impact factor: 3.708

8.  Restoring cortical control of functional movement in a human with quadriplegia.

Authors:  Chad E Bouton; Ammar Shaikhouni; Nicholas V Annetta; Marcia A Bockbrader; David A Friedenberg; Dylan M Nielson; Gaurav Sharma; Per B Sederberg; Bradley C Glenn; W Jerry Mysiw; Austin G Morgan; Milind Deogaonkar; Ali R Rezai
Journal:  Nature       Date:  2016-04-13       Impact factor: 49.962

9.  The use of P300-based BCIs in amyotrophic lateral sclerosis: from augmentative and alternative communication to cognitive assessment.

Authors:  Pietro Cipresso; Laura Carelli; Federica Solca; Daniela Meazzi; Paolo Meriggi; Barbara Poletti; Dorothée Lulé; Albert C Ludolph; Vincenzo Silani; Giuseppe Riva
Journal:  Brain Behav       Date:  2012-07       Impact factor: 2.708

10.  Detection of error related neuronal responses recorded by electrocorticography in humans during continuous movements.

Authors:  Tomislav Milekovic; Tonio Ball; Andreas Schulze-Bonhage; Ad Aertsen; Carsten Mehring
Journal:  PLoS One       Date:  2013-02-01       Impact factor: 3.240

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  16 in total

1.  A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfaces.

Authors:  Samuel R Nason; Alex K Vaskov; Matthew S Willsey; Elissa J Welle; Hyochan An; Philip P Vu; Autumn J Bullard; Chrono S Nu; Jonathan C Kao; Krishna V Shenoy; Taekwang Jang; Hun-Seok Kim; David Blaauw; Parag G Patil; Cynthia A Chestek
Journal:  Nat Biomed Eng       Date:  2020-07-27       Impact factor: 25.671

2.  High-frequency band temporal dynamics in response to a grasp force task.

Authors:  Mariana P Branco; Simon H Geukes; Erik J Aarnoutse; Mariska J Vansteensel; Zachary V Freudenburg; Nick F Ramsey
Journal:  J Neural Eng       Date:  2019-08-06       Impact factor: 5.379

Review 3.  Brain-computer interfaces for amyotrophic lateral sclerosis.

Authors:  Dennis J McFarland
Journal:  Muscle Nerve       Date:  2020-06       Impact factor: 3.217

4.  High-Density, Actively Multiplexed μECoG Array on Reinforced Silicone Substrate.

Authors:  Iakov Rachinskiy; Liane Wong; Chia-Han Chiang; Charles Wang; Michael Trumpis; John I Ogren; Zhe Hu; Bryan McLaughlin; Jonathan Viventi
Journal:  Front Nanotechnol       Date:  2022-02-24

Review 5.  Clinical neuroprosthetics: Today and tomorrow.

Authors:  Morgan B Lee; Daniel R Kramer; Terrance Peng; Michael F Barbaro; Charles Y Liu; Spencer Kellis; Brian Lee
Journal:  J Clin Neurosci       Date:  2019-07-30       Impact factor: 1.961

Review 6.  Developing Collaborative Platforms to Advance Neurotechnology and Its Translation.

Authors:  David A Borton; Heather E Dawes; Gregory A Worrell; Philip A Starr; Timothy J Denison
Journal:  Neuron       Date:  2020-10-28       Impact factor: 17.173

7.  Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates.

Authors:  Chia-Han Chiang; Sang Min Won; Amy L Orsborn; Ki Jun Yu; Michael Trumpis; Brinnae Bent; Charles Wang; Yeguang Xue; Seunghwan Min; Virginia Woods; Chunxiu Yu; Bong Hoon Kim; Sung Bong Kim; Rizwan Huq; Jinghua Li; Kyung Jin Seo; Flavia Vitale; Andrew Richardson; Hui Fang; Yonggang Huang; Kenneth Shepard; Bijan Pesaran; John A Rogers; Jonathan Viventi
Journal:  Sci Transl Med       Date:  2020-04-08       Impact factor: 17.956

8.  Electrocorticogram (ECoG) Is Highly Informative in Primate Visual Cortex.

Authors:  Sidrat Tasawoor Kanth; Supratim Ray
Journal:  J Neurosci       Date:  2020-02-17       Impact factor: 6.167

9.  Flexible, high-resolution thin-film electrodes for human and animal neural research.

Authors:  Chia-Han Chiang; Charles Wang; Katrina Barth; Shervin Rahimpour; Michael Trumpis; Suseendrakumar Duraivel; Iakov Rachinskiy; Agrita Dubey; Katie E Wingel; Megan Wong; Nicholas S Witham; Thomas Odell; Virginia Woods; Brinnae Bent; Werner Doyle; Daniel Friedman; Eckardt Bihler; Christopher F Reiche; Derek G Southwell; Michael M Haglund; Allan H Friedman; Shivanand P Lad; Sasha Devore; Orrin Devinsky; Florian Solzbacher; Bijan Pesaran; Gregory Cogan; Jonathan Viventi
Journal:  J Neural Eng       Date:  2021-06-17       Impact factor: 5.043

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

Authors:  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; Mariska J Vansteensel
Journal:  Front Neurosci       Date:  2019-10-16       Impact factor: 4.677

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