Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis

Pels, Elmar; Aarnoutse, Erik J.; Leinders, Sacha; Freudenburg, Zac V.; Branco, Mariana P.; Vijgh, Benny H. van der; Snijders, Tom J.; Denison, Timothy; Vansteensel, Mariska J.; Ramsey, Nick

doi:10.1016/j.clinph.2019.07.020

Cited by 55 publications

(50 citation statements)

References 18 publications

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“…Home communication use was frequent after initial training, mainly replacing an ET in unfavourable light conditions, especially outdoors, with progressive less effort although both having high levels of satisfaction. A reliable long-term functional stability was reported, despite slight increase in impedance until month 5 and a slowly decline of the power in the high frequency band [71]. Performance was high consistently, increasingly steadily overtime.…”

Section: Augmentative and Alternative Communication And Cognitive Assmentioning

confidence: 86%

“…In Utrecht, subdural electrocorticographic electrodes (2 strips on the primary motor cortex, and two additional on the dorsolateral prefrontal cortex) were implanted in a 58-year-old late-stage ALS patient [70,71]. Home communication use was frequent after initial training, mainly replacing an ET in unfavourable light conditions, especially outdoors, with progressive less effort although both having high levels of satisfaction.…”

Section: Augmentative and Alternative Communication And Cognitive Assmentioning

confidence: 99%

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New technologies and Amyotrophic Lateral Sclerosis – Which step forward rushed by the COVID-19 pandemic?

Pinto¹,

Quintarelli²,

Silani

2020

Journal of the Neurological Sciences

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Amyotrophic Lateral Sclerosis (ALS) is a fast-progressive neurodegenerative disease leading to progressive physical immobility with usually normal or mild cognitive and/or behavioural involvement. Many patients are relatively young, instructed, sensitive to new technologies, and professionally active when developing the first symptoms. Older patients usually require more time, encouragement, reinforcement and a closer support but, nevertheless, selecting user-friendly devices, provided earlier in the course of the disease, and engaging motivated carers may overcome many technological barriers. ALS may be considered a model for neurodegenerative diseases to further develop and test new technologies. From multidisciplinary teleconsults to telemonitoring of the respiratory function, telemedicine has the potentiality to embrace other fields, including nutrition, physical mobility, and the interaction with the environment. Brain-computer interfaces and eye tracking expanded the field of augmentative and alternative communication in ALS but their potentialities go beyond communication, to cognition and robotics. Virtual reality and different forms of artificial intelligence present further interesting possibilities that deserve to be investigated. COVID-19 pandemic is an unprecedented opportunity to speed up the development and implementation of new technologies in clinical practice, improving the daily living of both ALS patients and carers. The present work reviews the current technologies for ALS patients already in place or being under evaluation with published publications, prompted by the COVID-19 pandemic.

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Section: Augmentative and Alternative Communication And Cognitive Assmentioning

confidence: 86%

Section: Augmentative and Alternative Communication And Cognitive Assmentioning

confidence: 99%

New technologies and Amyotrophic Lateral Sclerosis – Which step forward rushed by the COVID-19 pandemic?

Pinto¹,

Quintarelli²,

Silani

2020

Journal of the Neurological Sciences

View full text Add to dashboard Cite

show abstract

“…Pels et al reported consistent performance over a 3‐year period in an ALS patient using an implanted electrocorticography (ECoG)‐based BCI. ECoG systems use arrays of electrodes implanted subdurally that do not penetrate the brain tissue and thus may be less susceptible to deterioration by the brain's response to foreign objects.…”

Section: Real‐time Applications Of Bcis With Disabled Usersmentioning

confidence: 95%

“…However, an article they cited described that she was ventilated and could use an eye‐tracking system at the time of implantation . Pels et al noted that their patient used the ECoG system at home.…”

Section: Real‐time Applications Of Bcis With Disabled Usersmentioning

confidence: 99%

Brain‐computer interfaces for amyotrophic lateral sclerosis

McFarland

2020

Muscle and Nerve

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A brain-computer interface (BCI) is a device that detects signals from the brain and transforms them into useful commands. Researchers have developed BCIs that utilize different kinds of brain signals. These different BCI systems have differing characteristics, such as the amount of training required and the degree to which they are or are not invasive. Much of the research on BCIs to date has involved healthy individuals and evaluation of classification algorithms. Some BCIs have been shown to have potential benefit for users with minimal muscular function as a result of amyotrophic lateral sclerosis. However, there are still several challenges that need to be successfully addressed before BCIs can be clinically useful.amyotrophic lateral sclerosis, brain-computer interface, neuroprosthetics

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“…Additionally, the long term stability of sEEG recordings needs to be investigated. While studies show that ECoG grids provide reliable long-term measurements (Vansteensel et al, 2016;Pels et al, 2019), similar evidence for sEEG is currently lacking. While DBS devices present fully implanted solutions, sEEG measurements still rely on externalized leads connected to bulky amplifiers.…”

Section: Future Directionsmentioning

confidence: 99%

The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions

2020

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Stereotactic electroencephalogaphy (sEEG) utilizes localized, penetrating depth electrodes to measure electrophysiological brain activity. It is most commonly used in the identification of epileptogenic zones in cases of refractory epilepsy. The implanted electrodes generally provide a sparse sampling of a unique set of brain regions including deeper brain structures such as hippocampus, amygdala and insula that cannot be captured by superficial measurement modalities such as electrocorticography (ECoG). Despite the overlapping clinical application and recent progress in decoding of ECoG for Brain-Computer Interfaces (BCIs), sEEG has thus far received comparatively little attention for BCI decoding. Additionally, the success of the related deep-brain stimulation (DBS) implants bodes well for the potential for chronic sEEG applications. This article provides an overview of sEEG technology, BCI-related research, and prospective future directions of sEEG for long-term BCI applications.

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Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis

Cited by 55 publications

References 18 publications

New technologies and Amyotrophic Lateral Sclerosis – Which step forward rushed by the COVID-19 pandemic?

New technologies and Amyotrophic Lateral Sclerosis – Which step forward rushed by the COVID-19 pandemic?

Brain‐computer interfaces for amyotrophic lateral sclerosis

The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions

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