Spinal cord injury: molecular mechanisms and therapeutic interventions

X Hu, W Xu, Y Ren, Z Wang, X He, R Huang… - Signal transduction and …, 2023 - nature.com
Spinal cord injury (SCI) remains a severe condition with an extremely high disability rate.
The challenges of SCI repair include its complex pathological mechanisms and the …

Decoding movement from electrocorticographic activity: a review

K Volkova, MA Lebedev, A Kaplan… - Frontiers in …, 2019 - frontiersin.org
Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for
people suffering from neurological disabilities. This recording technique combines adequate …

Stabilization of a brain–computer interface via the alignment of low-dimensional spaces of neural activity

AD Degenhart, WE Bishop, ER Oby… - Nature biomedical …, 2020 - nature.com
The instability of neural recordings can render clinical brain–computer interfaces (BCIs)
uncontrollable. Here, we show that the alignment of low-dimensional neural manifolds (low …

Plug-and-play control of a brain–computer interface through neural map stabilization

DB Silversmith, R Abiri, NF Hardy, N Natraj… - Nature …, 2021 - nature.com
Brain–computer interfaces (BCIs) enable control of assistive devices in individuals with
severe motor impairments. A limitation of BCIs that has hindered real-world adoption is poor …

An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic

A Moly, T Costecalde, F Martel, M Martin… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. The article aims at addressing 2 challenges to step motor brain-computer
interface (BCI) out of laboratories: asynchronous control of complex bimanual effectors with …

Long-term recording reliability of liquid crystal polymer µECoG arrays

V Woods, M Trumpis, B Bent… - Journal of neural …, 2018 - iopscience.iop.org
Objective. The clinical use of microsignals recorded over broad cortical regions is largely
limited by the chronic reliability of the implanted interfaces. Approach. We evaluated the …

Dynamic network modeling and dimensionality reduction for human ECoG activity

Y Yang, OG Sani, EF Chang… - Journal of neural …, 2019 - iopscience.iop.org
Objective. Developing dynamic network models for multisite electrocorticogram (ECoG)
activity can help study neural representations and design neurotechnologies in humans …

Bypassing stroke-damaged neural pathways via a neural interface induces targeted cortical adaptation

K Kato, M Sawada, Y Nishimura - Nature Communications, 2019 - nature.com
Regaining the function of an impaired limb is highly desirable in paralyzed individuals. One
possible avenue to achieve this goal is to bridge the interrupted pathway between preserved …

Encoding of kinetic and kinematic movement parameters in the sensorimotor cortex: A Brain‐Computer Interface perspective

MP Branco, LM de Boer, NF Ramsey… - European Journal of …, 2019 - Wiley Online Library
For severely paralyzed people, Brain‐Computer Interfaces (BCI s) can potentially replace
lost motor output and provide a brain‐based control signal for augmentative and alternative …

Intra-cortical brain-machine interfaces for controlling upper-limb powered muscle and robotic systems in spinal cord injury

N Fatima, A Shuaib, M Saqqur - Clinical Neurology and Neurosurgery, 2020 - Elsevier
Objective Intracortical brain-machine interface (iBMI) is an assistive strategy to restore lost
sensorimotor function by bridging the disrupted neural pathways to reanimate paralyzed …