Transcranial Magnetic Stimulation synchronized with Electroencephalography (TMS-EEG) uses TMS to non-invasively stimulate specific brain regions while simultaneously recording the brain’s electrical activity in real time with EEG. This technique allows for the evaluation of functional connectivity and the dynamics of neural networks in the brain. It integrates the spatial precision of TMS in targeting brain areas with the millisecond-level temporal resolution of EEG in capturing neural responses.
TMS-EEG enables the simultaneous stimulation of brain tissue and collection of EEG signals, meeting the dual needs of comprehensive assessment and precise modulation under non-invasive conditions.
| High time-space resolution By combining the spatial precision of TMS in targeting brain regions with the millisecond-level temporal resolution of EEG in capturing neural activity, TMS-EEG can comprehensively track the spatiotemporal dynamics of brain activity. |
| Brain network functional connectivity TMS-EEG enables in-depth investigation of complex mechanisms such as effective connectivity, interactions, and neural plasticity between different brain regions. |
| Brain function causal mechanisms TMS-EEG technology records responses from multiple brain regions to stimulation, constructing a topological network of interconnected areas. By actively intervening with TMS stimulation and monitoring the timing and direction of signal transmission in real time, it can reveal the causal mechanisms of information transfer between brain regions underlying cognitive processes and behavior. |
| High repeatability By monitoring EEG to ensure subjects receive TMS stimulation in a consistent neural state, it reduces the impact of baseline fluctuations on stimulation outcomes, dynamically adjusts parameters, and enhances the reliability and stability of results. |
| Closed-loop modulation The unique closed-loop regulation technology of TMS-EEG allows for real-time extraction of EEG feature signals with ultra-high temporal resolution and adjustment of stimulation intensity, enabling personalized closed-loop modulation while opening new possibilities for brain-computer interface applications. |
| Not dependent on subcortical pathway integrity TMS-evoked potentials (TEP) are unaffected by the integrity of descending motor pathways, directly reflecting cortical excitability. |
| No active patient cooperation required Independent of muscle activity, subjective awareness, or the integrity of language networks, enabling an objective and precise evaluation of brain activity states. |
| Not limited to motor cortex detection Capable of assessing excitability and functional connectivity in regions beyond the motor cortex, such as the prefrontal cortex, parietal lobe, and temporal lobe. |
->“Charging delay” function allows manual control of capacitor charging time, minimizing interference of electromagnetic signals with EEG data
->TMS-EEG dedicated coil
->Built-in TMS-EEG detection program
->High sampling rate: Accurately depicts authentic EEG signals over time
->Broad measurement range: Avoids amplifier overload and signal distortion
->High frequency bandwidth: Reduces ringing artifacts
->Minimal artifact interference: Artifacts caused by TMS pulses persist for less than 2ms
->Active/passive TMS-compatible electrodes optional
->Electrodes just 3.5mm in height, reducing magnetic field strength loss
->Reduces artifacts directly related to TMS stimulation
->Standardized TMS artifact removal process
->Automatic batch processing of data
->High spatial accuracy: Target positioning precision of 2mm
->Enables modeling using individual MRI data
->Personalized treatment
->Ultra-fast data router (data transmission delay <1.5ms)
->Real-time fast signal processor
->Real-time data stream analysis without the need for encoding
->Real-time adjustment of magnetic stimulation parameters based on brain state
| Technical Perspective | Disciplinary Expansion |
| ->Analyze causal mechanisms ->Brain network functional connectivity ->Neurofeedback ->Closed-loop regulation ->Machine learning | ->Cognitive neuroscience ->Clinical Research ->Biomedical Engineering ->Sports Science ->Ergonomics |
