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Related Experiment Video

Updated: May 19, 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

Pre-stimulus brain states predict and control variability in stimulation responses.

Giovanni Rabuffo1, Marianna Angiolelli2, Tomoki Fukai3

  • 1Center for Brain and Cognition, Universitat Pompeu Fabra, Barcelona, Spain.

Brain Stimulation
|May 17, 2026
PubMed
Summary

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This summary is machine-generated.

Brain stimulation outcomes are influenced by ongoing brain states, not random chance. Identifying these neural signatures enables adaptive, state-aware neuromodulation for improved reproducibility and clinical translation.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Neuromodulation

Background:

  • Brain stimulation outcomes vary significantly, hindering reproducibility and clinical use.
  • Ongoing brain states (oscillatory, network activity) may modulate stimulation effects.
  • Predictive features of brain states and their generalizability across modalities are unclear.

Purpose of the Study:

  • Investigate the influence of pre-stimulus brain states on neuromodulation outcomes.
  • Identify reliable neural signatures that predict stimulation responses.
  • Assess the generalizability of these signatures across different brain recording modalities.

Main Methods:

  • Analyzed simultaneous high-density EEG and stereotactic EEG data from 36 epilepsy patients.
Keywords:
High-density EEG (hdEEG)Intracranial electrical stimulation (iES)Pre-stimulus brain stateState-dependent effectsStereotactic EEG (SEEG)Stimulus effects variability

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Related Experiment Videos

Last Updated: May 19, 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

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

  • Screened over 10,000 single-pulse electrical stimulations across 127 metrics.
  • Focused on 5 key metrics capturing signal dynamics, synchronization, connectivity, and complexity.

    • Main Results:

    • Pre-stimulus brain states explained significant post-stimulation variance (up to 85% in SEEG).
    • Whole-brain pre-stimulus measures outperformed local measures.
    • State-dependent stimulation control reduced response variability.

    Conclusions:

    • Trial-to-trial variability in stimulation is systematically shaped by brain dynamics.
    • Adaptive, state-aware neuromodulation strategies are crucial.
    • Identified biomarkers support real-time monitoring and closed-loop neuromodulation for enhanced reproducibility.