Explanipedia

The effect of perceived auditory feedback on speech Brain-Computer Interface decoding performance Open

Anouck Schippers, Julia Berezutskaya, Mariska J. Vansteensel, Zachary V. Freudenburg, Nathan E. Crone , et al. · 2025

These results underline the need to validate speech BCI efficacy with fully paralyzed individuals, as perceived feedback can influence the attainable speech decoding accuracy.

Longitudinal study of gesture decoding in a clinical trial participant with ALS Open

Daniel N. Candrea, Miguel Angrick, Shiyu Luo, Rohit Ganji, Christopher Coogan , et al. · 2025

Brain-computer interfaces (BCIs) have the potential to preserve or restore communication and device control in people with paralysis from a variety of causes. For people living with amyotrophic lateral sclerosis (ALS), however, the progres…

Real-time detection of spoken speech from unlabeled ECoG signals: a pilot study with an ALS participant Open

Miguel Angrick, Shiyu Luo, Qinwan Rabbani, Shreya Joshi, Daniel N. Candrea , et al. · 2025

Objective . Brain–computer interfaces hold significant promise for restoring communication in individuals with partial or complete loss of the ability to speak due to paralysis from amyotrophic lateral sclerosis (ALS), brainstem stroke, an…

Restoring Cortically Mediated Movement and Sensation in Complete Tetraplegia Open

Santosh Chandrasekaran, Sarah Kim Wandelt, Aniket Jangam, Zeev Elias, Erona Ibroci , et al. · 2025

Spinal cord injury (SCI) affects millions worldwide, with over half of all cases resulting in tetraplegia, where a complete injury can cause profound motor and sensory loss in all four limbs 1 . Here, we demonstrate an artificial ‘double n…

Don’t put words in my mouth: speech perception can falsely activate a brain-computer interface Open

Anouck Schippers, Mariska J. Vansteensel, Zac V. Freudenburg, Shiyu Luo, Nathan E. Crone , et al. · 2025

High-gamma electrocorticography activity represents perceived vibration intensity in human somatosensory cortex Open

Oranatt Chaichanasittikarn, L. Díaz, Neha Thomas, Daniel N. Candrea, Shiyu Luo , et al. · 2025

Haptic feedback can play a useful role in rehabilitation and brain-computer interface applications by providing users with information about their system or performance. One challenge delivering tactile stimulation is not knowing how the h…

Eigenvector biomarker for prediction of epileptogenic zones and surgical success from interictal data Open

Sandip Roy, Armelle Varillas, Evelyn Pereira, Patrick Myers, Golnoosh Kamali , et al. · 2025

Introduction: More than 50 million people worldwide suffer from epilepsy. Approximately 30% of epileptic patients suffer from medically refractory epilepsy (MRE), which means that over 15 million people must seek extensive treatment. One s…

Self-paced silent speech brain-computer interface for device control Open

Shiyu Luo, Miguel Angrick, Christopher Coogan, Daniel N. Candrea, Kimberley Wyse‐Sookoo , et al. · 2025

Brain-computer interfaces can potentially restore autonomy to people with paralysis, including the ability to control their own environment via smart devices in the home. BCI applications for controlling smart devices to date have required…

A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling Open

Daniel N. Candrea, Samyak Shah, Shiyu Luo, Miguel Angrick, Qinwan Rabbani , et al. · 2024

DO NOT LOSE SLEEP OVER IT: IMPLANTED BRAIN-COMPUTER INTERFACE FUNCTIONALITY DURING NIGHTTIME IN LATE-STAGE AMYOTROPHIC LATERAL SCLEROSIS Open

Sacha Leinders, Erik J. Aarnoutse, Mariana P. Branco, Zac V. Freudenburg, Simon H. Geukes , et al. · 2024

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 syndrome) due to neural disease or injury. Alt…

Real-time detection of spoken speech from unlabeled ECoG signals: A pilot study with an ALS participant Open

Miguel Angrick, Shiyu Luo, Qinwan Rabbani, Shreya Joshi, Daniel N. Candrea , et al. · 2024

Objective . Brain-Computer Interfaces (BCIs) hold significant promise for restoring communication in individuals with partial or complete loss of the ability to speak due to paralysis from amyotrophic lateral sclerosis (ALS), brainstem str…

Cortical sites critical to language function act as connectors between language subnetworks Open

Jason Hsieh, Prashanth Prakash, Robert D. Flint, Zachary Fitzgerald, Emily M. Mugler , et al. · 2024

Quantifying physical degradation alongside recording and stimulation performance of 980 intracortical microelectrodes chronically implanted in three humans for 956-2246 days Open

David A. Bjånes, Spencer Kellis, Robert Nickl, Brian Baker, Tyson Aflalo , et al. · 2024

Motivation The clinical success of brain-machine interfaces depends on overcoming both biological and material challenges to ensure a long-term stable connection for neural recording and stimulation. Therefore, there is a need to quantify …

Virtual stimulation of the interictal EEG network localizes the EZ as a measure of cortical excitability Open

Sophia R. Zhai, Sridevi V. Sarma, Kristin M. Gunnarsdottir, Nathan E. Crone, Adam G. Rouse , et al. · 2024

Introduction: For patients with drug-resistant epilepsy, successful localization and surgical treatment of the epileptogenic zone (EZ) can bring seizure freedom. However, surgical success rates vary widely because there are currently no cl…

Longevity of a Brain–Computer Interface for Amyotrophic Lateral Sclerosis Open

Mariska J. Vansteensel, Sacha Leinders, Mariana P. Branco, Nathan E. Crone, Timothy Denison , et al. · 2024

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 independent at-home use of an implanted brain-comput…

Iterative alignment discovery of speech-associated neural activity Open

Qinwan Rabbani, Samyak Shah, Griffin Milsap, Matthew S. Fifer, Hynek Heřmanský , et al. · 2024

Objective . Brain–computer interfaces (BCIs) have the potential to preserve or restore speech in patients with neurological disorders that weaken the muscles involved in speech production. However, successful training of low-latency speech…

Stability of ECoG high gamma signals during speech and implications for a speech BCI system in an individual with ALS: a year-long longitudinal study Open

Kimberley Wyse‐Sookoo, Shiyu Luo, Daniel N. Candrea, Anouck Schippers, Donna Tippett , et al. · 2024

Objective. Speech brain–computer interfaces (BCIs) have the potential to augment communication in individuals with impaired speech due to muscle weakness, for example in amyotrophic lateral sclerosis (ALS) and other neurological disorders.…

Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALS Open

Miguel Angrick, Shiyu Luo, Qinwan Rabbani, Daniel N. Candrea, Samyak Shah , et al. · 2024

Brain–computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity recorded with intracranial electrodes may pave the way toward novel communication interfaces for people who have lost their ability to speak, or w…

A supervised data-driven spatial filter denoising method for speech artifacts in intracranial electrophysiological recordings Open

Victoria Peterson, Matteo Vissani, Shiyu Luo, Qinwan Rabbani, Nathan E. Crone , et al. · 2024

Neurosurgical procedures that enable direct brain recordings in awake patients offer unique opportunities to explore the neurophysiology of human speech. The scarcity of these opportunities and the altruism of participating patients compel…

Benefits of sharing neurophysiology data from the BRAIN Initiative Research Opportunities in Humans Consortium Open

Vasiliki Rahimzadeh, Kathryn Maxson Jones, Mary A. Majumder, Michael J. Kahana, Ueli Rutishauser , et al. · 2023

Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months Open

Shiyu Luo, Miguel Angrick, Christopher Coogan, Daniel N. Candrea, Kimberley Wyse‐Sookoo , et al. · 2023

Brain‐computer interfaces (BCIs) can be used to control assistive devices by patients with neurological disorders like amyotrophic lateral sclerosis (ALS) that limit speech and movement. For assistive control, it is desirable for BCI syste…

A click-based electrocorticographic brain-computer interface enables long-term high-performance switch-scan spelling Open

Daniel N. Candrea, Samyak Shah, Shiyu Luo, Miguel Angrick, Qinwan Rabbani , et al. · 2023

Background Brain-computer interfaces (BCIs) can restore communication in movement- and/or speech-impaired individuals by enabling neural control of computer typing applications. Single command “click” decoders provide a basic yet highly fu…

Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS Open

Miguel Angrick, Shiyu Luo, Qinwan Rabbani, Daniel N. Candrea, Samyak Shah , et al. · 2023

Recent studies have shown that speech can be reconstructed and synthesized using only brain activity recorded with intracranial electrodes, but until now this has only been done using retrospective analyses of recordings from able-bodied p…

Towards optimizing single pulse electrical stimulation: High current intensity, short pulse width stimulation most effectively elicits evoked potentials Open

Mark Hays, Golnoosh Kamali, Mohamad Z. Koubeissi, Sridevi V. Sarma, Nathan E. Crone , et al. · 2023

Our results indicate that individual combinations of current intensity and pulse width, in addition to charge, are important determinants of CCEP magnitude, morphology, and spatial extent. Together, these findings suggest that high current…

A supervised data-driven spatial filter denoising method for speech artifacts in intracranial electrophysiological recordings Open

Victoria Peterson, Matteo Vissani, Shiyu Luo, Qinwan Rabbani, Nathan E. Crone , et al. · 2023

Neurosurgical procedures that enable direct brain recordings in awake patients offer unique opportunities to explore the neurophysiology of human speech. The scarcity of these opportunities and the altruism of participating patients compel…

Cross-task specificity and within-task invariance of cognitive control processes Open

Yuchen Xiao, Chien‐Chen Chou, G. Rees Cosgrove, Nathan E. Crone, Scellig Stone , et al. · 2023

The dynamics of cortical interactions in visual recognition of object category: living versus nonliving Open

Kiyohide Usami, Riki Matsumoto, Anna Korzeniewska, Akihiro Shimotake, Masao Matsuhashi , et al. · 2022

Noninvasive brain imaging studies have shown that higher visual processing of objects occurs in neural populations that are separable along broad semantic categories, particularly living versus nonliving objects. However, because of their …

Lexicality-Modulated Influence of Auditory Cortex on Subthalamic Nucleus During Motor Planning for Speech Open

Alexander R. Weiss, Anna Korzeniewska, Anna Chrabaszcz, Alan Bush, Julie A. Fiez , et al. · 2022

Speech requires successful information transfer within cortical-basal ganglia loop circuits to produce the desired acoustic output. For this reason, up to 90% of Parkinson’s disease patients experience impairments of speech articulation. D…

Cortico-cortical evoked potentials in response to varying stimulation intensity improves seizure localization Open

Mark Hays, Rachel J. Smith, Yujing Wang, Christopher Coogan, Sridevi V. Sarma , et al. · 2022

Source-sink connectivity: a novel interictal EEG marker for seizure localization Open

Kristin M. Gunnarsdottir, Adam Li, Rachel J. Smith, Joon‐Yi Kang, Anna Korzeniewska , et al. · 2022

Over 15 million epilepsy patients worldwide have drug-resistant epilepsy. Successful surgery is a standard of care treatment but can only be achieved through complete resection or disconnection of the epileptogenic zone, the brain region(s…

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