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Related Experiment Video

Updated: Jul 17, 2026

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation
08:50

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Published on: August 20, 2019

Non-linear electroencephalogram dynamics induced by magnetic stimulation.

Hong Wang1, Yongqiang Wang, Peng Lu

  • 1Northeastern Univ., Shenyang.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
Summary

Magnetic stimulation (MS) reveals complex brain activity patterns. Evoked cortical activity shifts across scalp areas, indicating how the brain processes sensory information over time.

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Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
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Last Updated: Jul 17, 2026

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Published on: August 20, 2019

Low-Cost Electroencephalographic Recording System Combined with a Millimeter-Sized Coil to Transcranially Stimulate the Mouse Brain In Vivo
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Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
09:36

Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation

Published on: May 12, 2014

Area of Science:

  • Neuroscience
  • Biophysics
  • Brain-Computer Interfaces

Background:

  • Understanding brain dynamics is crucial for neurological research.
  • Electroencephalography (EEG) is a key tool for measuring brain activity.
  • Magnetic stimulation (MS) offers a non-invasive method to probe cortical function.

Purpose of the Study:

  • To investigate the non-linear electroencephalogram (EEG) dynamics following magnetic stimulation (MS).
  • To map the spatio-temporal progression of evoked cortical activity.
  • To explore how stimulus information is encoded and processed within the cortex.

Main Methods:

  • Utilized brain potential mapping (BPM) to visualize EEG dynamics.
  • Applied magnetic stimulation (MS) to the left hand muscle.
  • Recorded and analyzed evoked cortical activity across scalp regions over time.

Main Results:

  • Early evoked cortical activity was observed in right anterior scalp areas post-MS.
  • Activity dynamically shifted across scalp regions: right anterior to right posterior, then left anterior, and finally left posterior.
  • Observed negative evoked potentials during intervals between two distinct periods of activity changes.
  • The observed spatio-temporal patterns suggest information processing in the cortex.

Conclusions:

  • Non-linear EEG dynamics following MS provide insights into cortical processing.
  • The study demonstrates a time-dependent, spatially distributed pattern of evoked cortical activity.
  • These findings contribute to understanding sensory information encoding and brain response mechanisms.