Results 21 to 30 of about 35,696 (286)

Low frequency repetitive transcranial magnetic stimulation promotes plasticity of the visual cortex in adult amblyopic rats

Frontiers in Neuroscience, 2023
The decline of visual plasticity restricts the recovery of visual functions in adult amblyopia. Repetitive transcranial magnetic stimulation (rTMS) has been shown to be effective in treating adult amblyopia.
Jing Zheng, Jing Zheng, Wenqiu Zhang, Wenqiu Zhang, Longqian Liu, Longqian Liu, Maurice Keng Hung Yap   +6 more
doaj   +1 more source

Stimulation artifact source separation (SASS) for assessing electric brain oscillations during transcranial alternating current stimulation (tACS)

NeuroImage, 2021
Brain oscillations, e.g. measured by electro- or magnetoencephalography (EEG/MEG), are causally linked to brain functions that are fundamental for perception, cognition and learning.
David Haslacher, Khaled Nasr, Stephen E. Robinson, Christoph Braun, Surjo R. Soekadar   +4 more
doaj   +1 more source

Improved discrimination of visual stimuli following repetitive transcranial magnetic stimulation. [PDF]

PLoS ONE, 2010
BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) at certain frequencies increases thresholds for motor-evoked potentials and phosphenes following stimulation of cortex.
Michael L Waterston, Christopher C Pack
doaj   +1 more source

Evaluation of Wigner-Ville Distribution Features to Estimate Steady-State Visual Evoked Potentials' Stimulation Frequency

Journal of Intelligent Systems with Applications, 2021
Brain Computer Interface (BCI) is a system that enables people to communicate with the outside world and control various electronic devices by interpreting only brain activity (motor movement imagination, emotional state, any focused visual or auditory stimulus, etc.).
Murside Degirmenci, Ebru Sayilgan, Yalcin Isler   +2 more
openaire   +1 more source

SSVEP phase synchronies and propagation during repetitive visual stimulation at high frequencies

Scientific Reports, 2021
Steady-state visual evoked potentials (SSVEPs), the brain response to visual flicker stimulation, have proven beneficial in both research and clinical applications.
Tsvetomira Tsoneva, Gary Garcia-Molina, Peter Desain   +2 more
doaj   +1 more source

Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information [PDF]

, 2008
Local field potentials (LFPs) reflect subthreshold integrative processes that complement spike train measures. However, little is yet known about the differences between how LFPs and spikes encode rich naturalistic sensory stimuli.
Belitski, A., Logothetis, Nikos K., Magri, C., C. Magri, Montemurro, M.A., Logothetis, N, Panzeri, S, Logothetis, N.K., A. Belitski, Panzeri, Stefano, Murayama, Y., Gretton, A., Y. Murayama, Magri, C, Gretton, A, Murayama, Y, Montemurro, M, Murayama, Yusuke, M. A. Montemurro, N. K. Logothetis, Belitski, Andrei, Panzeri, S., Logothetis, N., Magri, Cesare, Montemurro, Marcelo A., A. Gretton, S. Panzeri, Gretton, Arthur, Belitski, A, Montemurro, M.   +29 more
core   +1 more source

Steady-state visual evoked potentials can be explained by temporal superposition of transient event-related responses [PDF]

, 2011
<p><b>Background:</b> One common criterion for classifying electrophysiological brain responses is based on the distinction between transient (i.e. event-related potentials, ERPs) and steady-state responses (SSRs).
Paula Pazo-Alvarez, Gross, J., Pazo-Alvarez Paula, Darriba, Álvaro, Darriba Alvaro, Darriba, A., Pablo Campo, Gross, Joachim, Pazo-Álvarez, Paula, Capilla, Almudena, Gross Joachim, Campo, P., Campo, Pablo, Capilla, A., Campo Pablo, Valdes-Sosa, P.A., Almudena Capilla, Darriba Domínguez, Álvaro, Capilla González, Almudena, Alvaro Darriba, Capilla Almudena, Joachim Gross, Pazo-Alvarez, P., Campo Martínez-Lage, Pablo, Pazo Álvarez, Paula   +24 more
core   +1 more source

Brain–computer control interface design for virtual household appliances based on steady-state visually evoked potential recognition

Visual Informatics, 2020
Brain–computer interface is a new form of interaction between humans and machines. This interaction helps the human brain control or operate external devices directly using electroencephalograph (EEG) signals.
Fan Zhang, Hang Yu, Jie Jiang, Zhangye Wang, Xujia Qin   +4 more
doaj   +1 more source

An electrocorticographic BCI using code-based VEP for control in video applications: A single-subject study

Frontiers in Systems Neuroscience, 2014
A brain-computer-interface (BCI) allows the user to control a device or software with brain activity. Many BCIs rely on visual stimuli with constant stimulation cycles that elicit steady-state visual evoked potentials (SSVEP) in the electroencephalogram (
Christoph eKapeller, Christoph eKapeller, Christoph eKapeller, Kyousuke eKamada, Hiroshi eOgawa, Robert ePrueckl, Robert ePrueckl, Robert ePrueckl, Josef eScharinger, Christoph eGuger, Christoph eGuger   +10 more
doaj   +1 more source

On the stimulus duty cycle in steady state visual evoked potential [PDF]

, 2014
Brain-computer interfaces (BCI) are useful devices that allow direct control of external devices using thoughts, i.e. brain's electrical activity. There are several BCI paradigms, of which steady state visual evoked potential (SSVEP) is the most commonly
Wilson, John J., Palaniappan, Ramaswamy
core   +1 more source