Explanipedia

Feasibility of decoding cerebellar movement-related potentials for brain-computer interface applications Open

John S. Russo, James G. Colebatch, Chin‐Hsuan Lin, Sam E. John, David B. Grayden , et al. · 2025

Objective. In brain-computer interface (BCI) applications, signals are conventionally acquired from the cerebrum, and only a subset of the complex interactions that occur in several areas of the brain are collected. One area that has not b…

Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness Open

Takamitsu Iwata, Hajime Nakamura, Takafumi Uemura, Teppei Araki, Takaki Matsumura , et al. · 2025

Intravascular electroencephalography (ivEEG) with microintravascular electrodes enhances neural monitoring, functional mapping, and brain–computer interfaces (BCIs), offering a minimally invasive approach to assess cortical activities; how…

Adaptive Segmentation of EEG for Machine Learning Applications Open

Jiang Zhou, Joseph West, Krista A. Ehinger, Z. Ren, Sam E. John , et al. · 2025

Objective. Electroencephalography (EEG) data is derived by sampling continuous neurological time series signals. In order to prepare EEG signals for machine learning, the signal must be divided into manageable segments. The current naive a…

Sub-scalp EEG for sensorimotor brain–computer interface Open

Tim Mahoney, David B. Grayden, Sam E. John · 2025

Objective . To establish sub-scalp electroencephalography (EEG) as a viable option for brain–computer interface (BCI) applications, particularly for chronic use, by demonstrating its effectiveness in recording and classifying sensorimotor …

Minimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG Open

Timothy B. Mahoney, JingYang Liu, Huakun Xin, David B. Grayden, Sam E. John · 2025

Individuals with severe physical disabilities often experience diminished quality of life stemming from limited ability to engage with their surroundings. Brain-Computer Interface (BCI) technology aims to bridge this gap by enabling direct…

Decoding cortical responses from visual input using an endovascular brain–computer interface Open

Jelle H. M. van der Eerden, Po-Chen Liu, Joel Villalobos, Takufumi Yanagisawa, David B. Grayden , et al. · 2025

Objective. Implantable neural interfaces enable recording of high-quality brain signals that can improve our understanding of brain function. This work examined the feasibility of using a minimally invasive endovascular neural interface (E…

Towards developing brain-computer interfaces for people with Multiple Sclerosis Open

John S. Russo, Tim Mahoney, Kirill Kokorin, Ashley Reynolds, Chin‐Hsuan Lin , et al. · 2025

Background Multiple Sclerosis (MS) can be a severely disabling condition that leads to various neurological symptoms. A Brain-Computer Interface (BCI) may substitute some lost function; however, there is a lack of BCI research in people wi…

Feasibility of source-level motor imagery classification for people with multiple sclerosis Open

John S. Russo, Thomas A. Shiels, Chin‐Hsuan Lin, Sam E. John, David B. Grayden · 2025

Objective. There is limited work investigating brain–computer interface (BCI) technology in people with multiple sclerosis (pwMS), a neurodegenerative disorder of the central nervous system. Present work is limited to recordings at the sca…

Design and Optimization of Inductive Wireless Power Transfer to Endovascular Devices Open

Yi-De Tai, Bryce Widdicombe, Ranjith Rajasekharan Unnithan, David B. Grayden, Sam E. John · 2025

Decoding imagined movement in people with multiple sclerosis for brain–computer interface translation Open

John S. Russo, Thomas A. Shiels, Chin‐Hsuan Lin, Sam E. John, David B. Grayden · 2025

Objective. Multiple sclerosis (MS) is a heterogeneous autoimmune-mediated disorder affecting the central nervous system, commonly manifesting as fatigue and progressive limb impairment. This can significantly impact quality of life due to …

Semi-Autonomous Continuous Robotic Arm Control Using an Augmented Reality Brain-Computer Interface Open

Kirill Kokorin, Syeda Zehra, Jing Mu, Peter Yoo, David B. Grayden , et al. · 2024

Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation Open

John S. Russo, Thomas A. Shiels, Chin‐Hsuan Lin, Sam E. John, David B. Grayden · 2024

Multiple Sclerosis (MS) is a heterogeneous autoimmune-mediated disorder affecting the central nervous system, commonly manifesting as fatigue and progressive limb impairment. This can significantly impact quality of life due to weakness or…

A microendovascular system can record precise neural signals from cortical and deep vessels with minimal invasiveness Open

Takamitsu Iwata, Hajime Nakamura, Takafumi Uemura, Teppei Araki, Takaki Matsumura , et al. · 2024

Minimally invasive intravascular electroencephalography (ivEEG) signals are a promising tool for developing clinically feasible brain–computer interfaces (BCIs) that restore communication and motor functions in paralyzed patients. However,…

Semi-Autonomous Continuous Robotic Arm Control Using an Augmented Reality Brain-Computer Interface Open

Kirill Kokorin, Syeda Zehra, Jing Mu, Peter Yoo, David B. Grayden , et al. · 2024

Noninvasive augmented-reality (AR) brain-computer interfaces (BCIs) that use steady-state visually evoked potentials (SSVEPs) typically adopt a fully autonomous goal-selection framework to control a robot, where automation is used to compe…

Towards Developing Brain-Computer Interfaces for People with Multiple Sclerosis Open

John S. Russo, Tim Mahoney, Kirill Kokorin, Ashley Reynolds, Chin‐Hsuan Lin , et al. · 2024

Multiple Sclerosis (MS) is a severely disabling condition that leads to various neurological symptoms. A Brain-Computer Interface (BCI) may substitute some lost function; however, there is a lack of BCI research in people with MS. To progr…

Endovascular Neural Stimulation: Characterisation of Platinum and Platinum Black Modified Endovascular Electrodes Open

Alexander R. Harris, Marko Ruslim, Huakun Xin, Zhiyi Shen, JingYang Liu , et al. · 2024

Longwave infrared multispectral image sensor system using aluminum-germanium plasmonic filter arrays Open

Noor E. Karishma Shaik, Bryce Widdicombe, Dechuan Sun, Sam E. John, Dongryeol Ryu , et al. · 2023

A multispectral camera records image data in various wavelengths across the electromagnetic spectrum to acquire additional information that a conventional camera fails to capture. With the advent of high-resolution image sensors and color …

Comparison of Sub-Scalp EEG and Endovascular Stent-Electrode Array for Visual Evoked Potential Brain-Computer Interface Open

Timothy B. Mahoney, Po-Chen Liu, David B. Grayden, Sam E. John · 2023

Brain-computer interfaces (BCI) have the potential to improve the quality of life for persons with paralysis. Sub-scalp EEG provides an alternative BCI signal acquisition method that compromises between the limitations of traditional EEG s…

Electrochemistry in a Two- or Three-Electrode Configuration to Understand Monopolar or Bipolar Configurations of Platinum Bionic Implants Open

Alexander R. Harris, David B. Grayden, Sam E. John · 2023

Electrodes are used in vivo for chemical sensing, electrophysiological recording, and stimulation of tissue. The electrode configuration used in vivo is often optimised for a specific anatomy and biological or clinical outcomes, not electr…

Longwave infrared multispectral image sensor system using aluminum-germanium plasmonic filter arrays Open

Noor E Karishma Shaik, Bryce Widdicombe, Dechuan Sun, Sam E. John, Dongryeol Ryu , et al. · 2023

A multispectral camera records image data in various wavelengths across the electromagnetic spectrum to acquire additional information that a conventional camera fails to capture. With the advent of high-resolution image sensors and colour…

Longwave infrared multispectral image sensor system using aluminum-germanium plasmonic filter arrays Open

Noor E Karishma Shaik, Bryce Widdicombe, Dechuan Sun, Sam E. John, Dongryeol Ryu , et al. · 2023

A multispectral camera records image data in various wavelengths across the electromagnetic spectrum to acquire additional information that a conventional camera fails to capture. With the advent of high-resolution image sensors and colour…

Improving student outcomes through transdisciplinary curriculum design in biomedical engineering Open

Lionel Lam, Thomas Cochrane, Catherine E. Davey, Sam E. John, Shaktivesh Shaktivesh , et al. · 2022

The boundaries between traditional engineering disciplines are breaking down.It is increasingly important for engineering students to be equipped with the ability to integrate complex concepts across disciplines to tackle real world proble…

Computational Modeling of an Endovascular Peripheral Nerve Interface Open

JingYang Liu, David B. Grayden, Janet R. Keast, Sam E. John · 2021

Implantable neuromodulation devices that interface with the peripheral nervous system are a promising approach to restore functions lost to nerve damage. Existing nerve stimulation electrodes require direct contact with the target nerve an…

Preliminary Minimum Reporting Requirements for Reporting In-Vivo Neural Interface Research: I. Implantable Neural Interfaces Open

Calvin D. Eiber, Jean Delbeke, Jorge Rio Cardoso, Martijn de Neeling, Sam E. John , et al. · 2020

The pace of research and development in neuroscience, neurotechnology, and neurorehabilitation is rapidly accelerating, with the number of publications doubling every 4.2 years. Maintaining this progress requires technological standards an…

Rate distortion optimization over large scale video corpus with machine learning Open

Sam E. John, Akshay Gadde, Balu Adsumilli · 2020

We present an efficient codec-agnostic method for bitrate allocation over a large scale video corpus with the goal of minimizing the average bitrate subject to constraints on average and minimum quality. Our method clusters the videos in t…

The future potential of the Stentrode Open

Sam E. John, David B. Grayden, Takufumi Yanagisawa · 2019

KEYWORDS: Stentrodebrain machine interfaceneuromodulationneural prosthesisendovascular neural interface

Author Correction: Signal quality of simultaneously recorded endovascular, subdural and epidural signals are comparable Open

Sam E. John, Nicholas L. Opie, Yan T. Wong, Gil S. Rind, Stephen M. Ronayne , et al. · 2018

Feasibility of identifying the ideal locations for motor intention decoding using unimodal and multimodal classification at 7T-fMRI Open

Peter E. Yoo, Thomas J. Oxley, Sam E. John, Nicholas L. Opie, Roger J. Ordidge , et al. · 2018

Signal quality of simultaneously recorded endovascular, subdural and epidural signals are comparable Open

Sam E. John, Nicholas L. Opie, Yan T. Wong, Gil S. Rind, Stephen M. Ronayne , et al. · 2018

An ovine model of cerebral catheter venography for implantation of an endovascular neural interface Open

Thomas J. Oxley, Nicholas L. Opie, Gil S. Rind, Kishan Liyanage, Sam E. John , et al. · 2017

OBJECTIVE Neural interface technology may enable the development of novel therapies to treat neurological conditions, including motor prostheses for spinal cord injury. Intracranial neural interfaces currently require a craniotomy to achie…

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