AIMC Topic: Electrocorticography

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Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria.

The New England journal of medicine Jul 15, 2021
BACKGROUND: Technology to restore the ability to communicate in paralyzed persons who cannot speak has the potential to improve autonomy and quality of life. An approach that decodes words and sentences directly from the cerebral cortical activity of...
Brain-Computer Interfaces Electrocorticography Dysarthria Speech Natural Language Processing Brain Stem Infarctions Humans Neural Prostheses Male Sensorimotor Cortex Deep Learning Electrodes, Implanted Adult Quadriplegia
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Deep learning approaches for neural decoding across architectures and recording modalities.

Briefings in bioinformatics Mar 22, 2021
Decoding behavior, perception or cognitive state directly from neural signals is critical for brain-computer interface research and an important tool for systems neuroscience. In the last decade, deep learning has become the state-of-the-art method i...
Deep Learning Speech Image Processing, Computer-Assisted Humans Neural Networks, Computer Electrocorticography Electroencephalography Magnetic Resonance Imaging Calcium Action Potentials Vision, Ocular
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Robot-Assisted Stereotaxy Reduces Target Error: A Meta-Analysis and Meta-Regression of 6056 Trajectories.

Neurosurgery Jan 13, 2021
BACKGROUND: The pursuit of improved accuracy for localization and electrode implantation in deep brain stimulation (DBS) and stereoelectroencephalography (sEEG) has fostered an abundance of disparate surgical/stereotactic practices. Specific practice...
Stereotaxic Techniques Electrocorticography Electrodes, Implanted Deep Brain Stimulation Biometry Humans Imaging, Three-Dimensional Robotics Female
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Decoding spectro-temporal representation for motor imagery recognition using ECoG-based brain-computer interfaces.

Journal of integrative neuroscience Jun 30, 2020
One of the challenges in brain-computer interface systems is obtaining motor imagery recognition from brain activities. Brain-signal decoding robustness and system performance improvement during the motor imagery process are two of the essential issu...
Imagination Adult Motor Activity Support Vector Machine Electrocorticography Datasets as Topic Brain-Computer Interfaces Pattern Recognition, Automated Cerebral Cortex Humans Signal Processing, Computer-Assisted
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Automatic detection of High Frequency Oscillations (80-500Hz) based on Convolutional Neural Network in Human Intracerebral Electroencephalogram.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Recently, high-frequency oscillations (HFOs) of range 80-500 Hz in electroencephalogram (EEG) recordings of epilepsy patients are considered as a reliable marker of epileptic seizure. In the present work, an automatic detection of HFOs represents an ...
Neural Networks, Computer Female Adult Male Young Adult Humans Seizures Electrocorticography Electroencephalography Epilepsy
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Neural activity reveals interactions between episodic and semantic memory systems during retrieval.

Journal of experimental psychology. General Jan 1, 2019
Whereas numerous findings support a distinction between episodic and semantic memory, it is now widely acknowledged that these two forms of memory interact during both encoding and retrieval. The precise nature of this interaction, however, remains p...
Mental Recall Humans Electrocorticography Machine Learning Male Cerebral Cortex Young Adult Female Middle Aged Memory, Episodic Adult Semantics
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Online control of a humanoid robot through hand movement imagination using CSP and ECoG based features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
Intention recognition through decoding brain activity could lead to a powerful and independent Brain-Computer-Interface (BCI) allowing for intuitive control of devices like robots. A common strategy for realizing such a system is the motor imagery (M...
Electrocorticography Robotics Equipment Design Imagination Hand Humans Electroencephalography Aged Brain-Computer Interfaces Models, Theoretical Female
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