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 …
people suffering from neurological disabilities. This recording technique combines adequate …
Human brain mapping with multithousand-channel PtNRGrids resolves spatiotemporal dynamics
Y Tchoe, AM Bourhis, DR Cleary, B Stedelin… - Science translational …, 2022 - science.org
Electrophysiological devices are critical for mapping eloquent and diseased brain regions
and for therapeutic neuromodulation in clinical settings and are extensively used for …
and for therapeutic neuromodulation in clinical settings and are extensively used for …
Development and translation of PEDOT: PSS microelectrodes for intraoperative monitoring
Recording neural activity during neurosurgical interventions is an invaluable tool for both
improving patient outcomes and advancing our understanding of neural mechanisms and …
improving patient outcomes and advancing our understanding of neural mechanisms and …
Electrical stimulation mapping of the brain: basic principles and emerging alternatives
The application of electrical stimulation mapping (ESM) of the brain for clinical use is
approximating a century. Despite this long-standing history, the value of ESM for guiding …
approximating a century. Despite this long-standing history, the value of ESM for guiding …
Low-frequency cortical activity is a neuromodulatory target that tracks recovery after stroke
Recent work has highlighted the importance of transient low-frequency oscillatory (LFO;< 4
Hz) activity in the healthy primary motor cortex during skilled upper-limb tasks. These brief …
Hz) activity in the healthy primary motor cortex during skilled upper-limb tasks. These brief …
Stability of Ti3C2Tx MXene Films and Devices under Clinical Sterilization Processes
SR Averbeck, D Xu, BB Murphy, K Shevchuk… - ACS …, 2023 - ACS Publications
MXenes are being heavily investigated in biomedical research, with applications ranging
from regenerative medicine to bioelectronics. To enable the adoption and integration of …
from regenerative medicine to bioelectronics. To enable the adoption and integration of …
Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review
Brain–Computer Interfaces (BCIs) have become increasingly popular in recent years due to
their potential applications in diverse fields, ranging from the medical sector (people with …
their potential applications in diverse fields, ranging from the medical sector (people with …
Resting-state functional magnetic resonance imaging for surgical planning in pediatric patients: a preliminary experience
OBJECTIVE Cerebral mapping for surgical planning and operative guidance is a
challenging task in neurosurgery. Pediatric patients are often poor candidates for many …
challenging task in neurosurgery. Pediatric patients are often poor candidates for many …
Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication
O Iljina, J Derix, RT Schirrmeister… - Brain-Computer …, 2017 - Taylor & Francis
The ultimate goal of brain-computer-interface (BCI) research on speech restoration is to
develop devices which will be able to reconstruct spontaneous, naturally spoken language …
develop devices which will be able to reconstruct spontaneous, naturally spoken language …
Passive functional mapping of receptive language areas using electrocorticographic signals
Objective To validate the use of passive functional mapping using electrocorticographic
(ECoG) broadband gamma signals for identifying receptive language cortex. Methods We …
(ECoG) broadband gamma signals for identifying receptive language cortex. Methods We …