A5060950565- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Neurological disorders and treatments
- Functional Brain Connectivity Studies
- Epilepsy research and treatment
- Advanced Memory and Neural Computing
- Neuroscience and Neuropharmacology Research
- Advanced MRI Techniques and Applications
- Muscle activation and electromyography studies
- Face Recognition and Perception
- Glioma Diagnosis and Treatment
- Sleep and Wakefulness Research
- Parkinson's Disease Mechanisms and Treatments
- Botulinum Toxin and Related Neurological Disorders
- Pharmacological Effects and Toxicity Studies
- Blind Source Separation Techniques
- Transcranial Magnetic Stimulation Studies
- Vagus Nerve Stimulation Research
- Vascular Malformations Diagnosis and Treatment
- Cerebrospinal fluid and hydrocephalus
- Neuroscience and Music Perception
- Visual perception and processing mechanisms
- CCD and CMOS Imaging Sensors
- Traumatic Brain Injury and Neurovascular Disturbances
WinnMed
2019-2025
Mayo Clinic in Arizona
2019-2025
Mayo Clinic
2019-2025
Neurological Surgery
2011-2024
Institute of Biophysics and Biomedical Engineering
2024
University of Minnesota
2023-2024
Mayo Clinic in Florida
2019-2024
Pediatrics and Genetics
2024
University of Minnesota Rochester
2022-2024
Colorado School of Mines
2022
The BCI Competition IV stands in the tradition of prior Competitions that aim to provide high quality neuroscientific data for open access scientific community. As experienced already competitions not only scientists from narrow field compete, but scholars with a broad variety backgrounds and nationalities. They include specialists as well students. goals all have always been challenge respect novel paradigms complex data. We report on following challenges: (1) asynchronous data, (2)...
In the first large study of its kind, we quantified changes in electrocorticographic signals associated with motor movement across 22 subjects subdural electrode arrays placed for identification seizure foci. Patients underwent a 5–7 d monitoring period array placement, before focus resection, and during this time they participated study. An interval-based motor-repetition task produced consistent quantifiable spectral shifts that were mapped on Talairach-standardized template cortex. Maps...
Recent studies have identified broadband phenomena in the electric potentials produced by brain. We report finding of power-law scaling these signals using subdural electrocorticographic recordings from surface human cortex. The power spectral density (PSD) potential has form 80 to 500 Hz. This index, , is conserved across subjects, area cortex, and local neural activity levels. shape PSD does not change with increases cortical activity, but amplitude, increases. observe a “knee” spectra at...
Imagery of motor movement plays an important role in learning complex skills, from to serve tennis perfecting a pirouette ballet. What and where are the neural substrates that underlie imagery-based learning? We measured electrocorticographic cortical surface potentials eight human subjects during overt action kinesthetic imagery same movement, focusing on power “high frequency” (76–100 Hz) “low (8–32 ranges. quantitatively establish spatial distribution local neuronal population activity...
Signals from the brain could provide a non-muscular communication and control system, brain–computer interface (BCI), for people who are severely paralyzed. A common BCI research strategy begins by decoding kinematic parameters signals recorded during actual arm movement. It has been assumed that these can be derived accurately only intracortical microelectrodes, but long-term stability of such electrodes is uncertain. The present study disproves this widespread assumption showing in humans...
An important mechanism for large-scale interactions between cortical areas involves coupling the phase and amplitude of different brain rhythms. Could basal ganglia disease disrupt this mechanism? We answered question by analysis local field potentials recorded from primary motor cortex (M1) arm area in patients undergoing neurosurgery. In Parkinson disease, β-phase (13–30 Hz) γ-amplitude (50–200 M1 is exaggerated compared with craniocervical dystonia humans without a movement disorder....
We show here that a brain–computer interface (BCI) using electrocorticographic activity (ECoG) and imagined or overt motor tasks enables humans to control computer cursor in two dimensions. Over brief training period of 12–36 min, each five human subjects acquired substantial particular ECoG features recorded from several locations over the same hemisphere, achieved average success rates 53–73% two-dimensional four-target center-out task which chance accuracy was 25%. Our results support...
During active movement the electric potentials measured from surface of motor cortex exhibit consistent modulation, revealing two distinguishable processes in power spectrum. At frequencies <40 Hz, narrow-band decreases occur with over widely distributed cortical areas, while at higher there are spatially more focal increases. These high-frequency changes have commonly been assumed to reflect synchronous rhythms, analogous lower-frequency phenomena, but it has recently proposed that they...
Brain signals can provide the basis for a non-muscular communication and control system, brain–computer interface (BCI), people with motor disabilities. A common approach to creating BCI devices is decode kinematic parameters of movements using recorded by intracortical microelectrodes. Recent studies have shown that hand also be accurately decoded from electrodes placed on surface brain (electrocorticography (ECoG)). In present study, we extend these results demonstrating it possible time...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a two-part study investigating the use of forearm surface electromyographic (EMG) signals for real-time control robotic arm. In first part study, we explore and extend current classification-based paradigms myoelectric to obtain high accuracy (92–98%) on an eight-class offline classification problem, with up 16 classifications/s. suggested that degree could be achieved very...
The functional significance of electrical rhythms in the mammalian brain remains uncertain. In motor cortex, 12–20 Hz beta rhythm is known to transiently decrease amplitude during movement, and be altered many diseases. Here we show that activity neuronal populations phase-coupled with on rapid timescales, describe how strength this relation changes movement. To investigate relationship dynamics, measured local cortical using arrays subdural electrocorticographic (ECoG) electrodes human...
Is there a distinct area within the human visual system that has preferential response to numerals, as is for faces, words, or scenes? We addressed this question using intracranial electrophysiological recordings and observed significantly higher in high-frequency broadband range (high γ, 65-150 Hz) visually presented compared with morphologically similar (i.e., letters false fonts) semantically phonologically stimuli number words non-number words). Anatomically, was consistently localized...
Nested oscillation occurs when the amplitude of a faster rhythm is coupled to phase slower rhythm. It has been proposed underlie discrete nature perception and capacity working memory phenomenon observable in human brain imaging data. This paper compares three published methods for detecting nested fourth method this paper. These are: (i) modulation index, (ii) phase-locking value (PLV), (iii) envelope-to-signal correlation (ESC) (iv) general linear model (GLM) measure derived from ESC. We...
Electrocorticography (ECoG) has been demonstrated to be an effective modality as a platform for brain-computer interfaces (BCIs). Through our experience with ten subjects, we further demonstrate evidence support the power and flexibility of this signal BCI usage. In subset four patients, closed-loop experiments were attempted patient receiving online feedback that consisted one-dimensional cursor movement controlled by ECoG features had shown correlation various real imagined motor speech...
Pathological conditions such as amyotrophic lateral sclerosis or damage to the brainstem can leave patients severely paralyzed but fully aware, in a condition known 'locked-in syndrome'. Communication this state is often reduced selecting individual letters words by arduous residual movements. More intuitive and rapid communication may be restored directly interfacing with language areas of cerebral cortex. We used grid closely spaced, nonpenetrating micro-electrodes record local field...
The neurophysiological underpinnings of functional magnetic resonance imaging (fMRI) are not well understood. To understand the relationship between fMRI blood oxygen level dependent (BOLD) signal and neurophysiology across large areas cortex, we compared task related BOLD change during simple finger movement to brain surface electric potentials measured on a similar spatial scale using electrocorticography (ECoG). We found that spectral power increases in high frequencies (65-95 Hz), which...
In Parkinson's disease (PD), striatal dopamine denervation results in a cascade of abnormalities the single-unit activity downstream basal ganglia nuclei that include increased firing rate, altered patterns, and oscillatory activity. However, effects these on cortical function are poorly understood. Here, humans undergoing deep brain stimulator implantation surgery, we use novel technique subdural electrocorticography combination with subthalamic nucleus (STN) recording to study...
Neuroimaging-based investigations in humans have established the existence of brain regions that are selectively metabolically active while resting. We report a population-scale neurophysiological measurement activity this "default network," by recording high-frequency power (76-200 Hz) electrical potentials directly from these three human subjects. A selective increase observed during only resting, when compared with activity, firmly establishes neuronal origin for default network phenomena.