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Related Experiment Video

Updated: Jan 9, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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Optimized Simultaneous Assessment of Subcortical and Cortical Auditory Responses Through a Frequency-Tagged Roving

Xiaoyu Wang1,2, Loretta Norton1,3, Teneille E Gofton4

  • 1Western Institute of Neuroscience, Western University, London, Canada.

The European Journal of Neuroscience
|November 30, 2025
PubMed
Summary

A new auditory evoked response paradigm allows simultaneous assessment of subcortical and cortical auditory processing in a single session. This efficient method enhances neural integrity research and clinical applications.

Keywords:
auditory evoked potential (AEP)auditory steady‐state response (ASSR)event‐related potentials (ERP)frequency‐following response (FFR)mismatch negativity (MMN)

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Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Clinical Neurophysiology

Background:

  • Traditional auditory evoked response assessments (frequency-following responses, auditory steady-state responses, event-related potentials) require separate sessions, limiting efficiency and multi-level analysis.
  • Existing methods face challenges with conflicting optimal parameters and limited evidence for individual-level sensitivity and reliability.

Purpose of the Study:

  • To develop and validate a novel paradigm for concurrent, single-subject assessment of frequency-following responses (FFRs), auditory steady-state responses (ASSRs), and event-related potentials (ERPs).
  • To evaluate the paradigm's efficiency, sensitivity, and reliability across subcortical to cortical auditory pathway levels.

Main Methods:

  • A frequency-tagged roving paradigm using amplitude-modulated tones presented in a roving sequence.
  • EEG recording with a two-electrode montage (Fz, Cz) in 32 healthy participants.
  • Analysis included permutation-based spectral analysis and machine-learning classification for response detection.

Main Results:

  • The paradigm achieved 100% sensitivity for high-frequency FFRs and gamma-band ASSRs.
  • Machine learning robustly detected obligatory cortical responses (N1, sustained negativity) in all participants.
  • Directional asymmetry in transition responses was observed, with ascending transitions eliciting N1-P2-like responses and descending transitions evoking MMN-like responses.

Conclusions:

  • The frequency-tagged roving paradigm enables simultaneous characterization of auditory processing across hierarchical levels within a single session.
  • This validated framework supports potential applications in future experimental and translational auditory research.
  • The paradigm demonstrates high sensitivity and reliability for multi-level auditory assessment.