Movement-Related ECoG Signals in the Human Brain
نویسندگان
چکیده
منابع مشابه
Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals
We present the results from three motor-imagery-based Brain-Computer Interface experiments. Brain signals were recorded from 8 untrained subjects using EEG, 4 using ECoG and 10 using MEG. In all cases, we aim to develop a system that could be used for fast, reliable preliminary screening in the clinical application of a BCI, so we aim to obtain the best possible classification performance in a ...
متن کاملSignal-, set- and movement-related activity in the human brain: an event-related fMRI study.
Electrophysiological studies on monkeys have been able to distinguish sensory and motor signals close in time by pseudorandomly delaying the cue that instructs the movement from the stimulus that triggers the movement. We have used a similar experimental design in functional magnetic resonance imaging (fMRI), scanning subjects while they performed a visuomotor conditional task with instructed d...
متن کاملThe Brain Activity Changes during Acute Stroke using Electrocorticographic ( ECoG ) Signals on the Sensorimotor Cortex
2ECoG provides a way for real time monitoring of brain activity. However, it is still a challenge to characterize the features of ECoG after the onset of stroke. In this study, ECoG signals were collected through implanted electrodes at four different sites on the sensorimotor cortex during middle cerebral artery (MCA) occlusion. It was found that within 3 minutes after MCA occlusion, amplitude...
متن کاملDecoding Brain Activation from Ipsilateral Cortex using ECoG Signals in Humans
OF THE THESIS Decoding Brain Activation from Ipsilateral Cortex using ECoG Signals in Humans by Yuzong Liu Master of Science in Computer Science Washington University in St. Louis, 2011 Research Advisor: Professor Kilian Weinberger Today, learning from the brain is the most challenging issue in many areas. Neural scientists, computer scientists, and engineers are collaborating in this broad res...
متن کاملDecoding Ipsilateral Finger Movements from ECoG Signals in Humans
Several motor related Brain Computer Interfaces (BCIs) have been developed over the years that use activity decoded from the contralateral hemisphere to operate devices. Contralateral primary motor cortex is also the region most severely affected by hemispheric stroke. Recent studies have identified ipsilateral cortical activity in planning of motor movements and its potential implications for ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2008
ISSN: 1662-5188
DOI: 10.3389/conf.neuro.10.2008.01.104