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Updated: May 3, 2026

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Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation
Published on: August 20, 2019
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Trait-like differences in underlying oscillatory state predict individual differences in the TMS-evoked response.
Bornali Kundu1, Jeffrey S Johnson2, Bradley R Postle3
1Medical Scientist Training Program, University of Wisconsin-Madison, USA; Neuroscience Training Program, University of Wisconsin-Madison, USA.
Brain Stimulation
|January 30, 2014
Summary
Individual differences in sustained patterns of delay-period activity (SPDPA) predict brain responses to transcranial magnetic stimulation (TMS) and electroencephalography (EEG). These SPDPA patterns are stable and linked to trait-like physiological profiles.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Connectivity
Background:
- Combined transcranial magnetic stimulation (TMS) and electroencephalography (EEG) reveal how cognitive states influence brain activity.
- Previous studies showed TMS-evoked responses (TMS-ER) differ between spatial short-term memory (STM) tasks and fixation, indicating cognitive context modulates neural responses.
- Individual variations in TMS-ER shape and sustained patterns of delay-period activity (SPDPA) were observed.
Purpose of the Study:
- To investigate if individual differences in SPDPA predict spectral properties of TMS-ER.
- To determine if these relationships are specific to task-relevant brain regions, such as the prefrontal cortex in STM tasks.
Main Methods:
- Utilized TMS-EEG and source-localization techniques to derive TMS-evoked responses (TMS-ER).
- Analyzed sustained patterns of delay-period activity (SPDPA) and their spectral properties.
Main Results:
- Significant individual differences in SPDPA were found.
- These SPDPA variations predicted individual differences in frequency-dependent TMS-ER parameters, particularly in task-relevant areas like the prefrontal cortex for STM.
- Test-retest reliability confirmed the stability of SPDPA over sessions.
Conclusions:
- Individual differences in SPDPA are linked to trait-like physiological profiles.
- This provides insight into how individual variations in TMS effects relate to stable neural characteristics.
- The findings highlight the role of intrinsic brain dynamics in modulating responses to external stimulation.

