Concurrent Eeg-tms

Stimulation-related artifacts must be addressed before EEG responses can be interpreted. The magnetic pulse and associated recording disturbances can obscure neural signals that occur immediately after stimulation. Specialized procedures remove or reduce these unwanted components, helping separate genuine, time-resolved brain activity from contamination. This improves confidence when estimating cortical responses, oscillatory changes, or network effects.

Concurrent EEG-TMS supports causal analysis by using TMS to perturb a targeted cortical area while EEG tracks the resulting activity. This design links an externally induced change with subsequent brain dynamics, rather than only observing signals as they naturally occur. Researchers can therefore examine how stimulation influences cortical excitability, connectivity, oscillations, and broader network responses.

Researchers can analyze several features of the brain response, including cortical excitability, effective connectivity, oscillations, and activity across neural networks. Their time-resolved EEG measurements show how these features change after targeted stimulation. Examining multiple response types helps characterize both local cortical effects and the way perturbation propagates through connected brain systems.

A typical experiment combines scalp EEG recording with delivery of targeted TMS pulses. EEG captures brain activity during and after stimulation, while specialized processing addresses artifacts produced by the magnetic pulse and recording setup. The cleaned responses can then be examined for changes in excitability, connectivity, oscillatory activity, or network-level dynamics.

The combination connects a controlled external perturbation with rapidly changing neural activity. TMS provides the targeted stimulation, while EEG supplies time-resolved measurements of the response. This pairing can reveal how the stimulated cortex and related networks react, offering information about causal brain dynamics that cannot be obtained from passive activity measurements alone.

This approach is useful for basic studies of brain function and plasticity, as well as investigations of neurological and psychiatric disorders. It can also contribute to developing stimulation-based interventions by showing how targeted stimulation changes brain responses and network behavior. These applications make the technique relevant when researchers need both perturbation and physiological measurement.