scholarly journals Computational exploration of dynamic mechanisms of steady state visual evoked potentials at the whole brain level

NeuroImage ◽  
2021 ◽  
pp. 118166
Author(s):  
Ge Zhang ◽  
Yan Cui ◽  
Yangsong Zhang ◽  
Hefei Cao ◽  
Guanyu Zhou ◽  
...  
Keyword(s):  
Steady State ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Whole Brain ◽  
Dynamic Mechanisms ◽  
Brain Level ◽  
Computational Exploration ◽  
Visual Evoked

scholarly journals Exploring the dynamic mechanisms of steady-state visual evoked potentials at the whole-brain level: evidence from a computational study

2021 ◽  
Author(s):  
Ge Zhang ◽  
Yan Cui ◽  
Yangsong Zhang ◽  
Hefei Cao ◽  
Guanyu Zhou ◽  
...  
Keyword(s):  
Steady State ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Large Scale ◽  
Whole Brain ◽  
Frequency Sensitivity ◽  
Dynamic Mechanisms ◽  
Brain Level ◽  
The Brain ◽  
Visual Evoked

AbstractPeriodic visual stimulation can induce stable steady-state visual evoked potentials (SSVEPs) distributed in multiple brain regions and has potential applications in both neural engineering and cognitive neuroscience. However, the underlying dynamic mechanisms of SSVEPs at the whole-brain level are still not completely understood. Here, we addressed this issue by simulating the rich dynamics of SSVEPs with a large-scale brain model designed with constraints of neuroimaging data acquired from the human brain. By eliciting activity of the occipital areas using an external periodic stimulus, our model was capable of replicating both the spatial distributions and response features of SSVEPs that were observed in experiments. In particular, we confirmed that alpha-band (8-12 Hz) stimulation could evoke stronger SSVEP responses; this frequency sensitivity was due to nonlinear resonance and could be modulated by endogenous factors in the brain. Interestingly, the stimulus-evoked brain networks also exhibited significant superiority in topological properties near this frequency-sensitivity range, and stronger SSVEP responses were demonstrated to be supported by more efficient functional connectivity at the neural activity level. These findings not only provide insights into the mechanistic understanding of SSVEPs at the whole-brain level but also indicate a bright future for large-scale brain modeling in characterizing the complicated dynamics and functions of the brain.

P239 The influence of mental activity to steady-state visual evoked potentials (SSVEP)

1996 ◽  
Vol 99 (4) ◽  
pp. 327
Author(s):  
V. Radivojević ◽  
M. Car ◽  
M. Rajković ◽  
. Martinović ◽  
N. Krstić
Keyword(s):  
Steady State ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Mental Activity ◽  
Visual Evoked

14.4: Polychromatic High-Frequency Steady-State Visual Evoked Potentials for Brain-Display Interaction

2013 ◽  
Vol 44 (1) ◽  
pp. 146-149 ◽  
Author(s):  
Yu-Yi Chien ◽  
Fang-Cheng Lin ◽  
Ching-Chi Chou ◽  
John K. Zao ◽  
Heng-Yuan Kuo ◽  
...  
Keyword(s):  
Steady State ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
High Frequency ◽  
Visual Evoked
Sign in / Sign up

Export Citation Format

Share Document