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Updated: Jan 8, 2026

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

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

Published on: May 25, 2019

Modulating speech tracking through brain state-dependent changes in audio loudness.

Alejandro Pérez¹, Ainhoa Insausti-Delgado², Hyojin Park³

¹Universidad de La Laguna, Instituto Universitario de Neurociencia (IUNE), San Cristóbal de La Laguna 38200, Spain.

Journal of Neural Engineering

|December 23, 2025

Summary

This summary is machine-generated.

Internal attention, not loudness, shapes speech encoding. Brain state-dependent stimulation revealed that neural speech tracking depends more on attentional state than stimulus intensity, impacting auditory perception.

Keywords:

BSDS EEG brain state-dependent stimulation short-term memory speech tracking

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Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

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Published on: August 20, 2019

Area of Science:

Neuroscience
Auditory Perception
Cognitive Psychology

Background:

Speech perception is influenced by both external factors like loudness and internal states like attention.
Understanding how these factors interact is crucial for developing effective auditory processing strategies.

Purpose of the Study:

To investigate if speech signal loudness and brain state-dependent stimulation (BSDS) affect neural speech tracking and short-term memory.
To explore the role of internal attentional states versus external stimulus salience in auditory encoding.

Main Methods:

An electroencephalography (EEG) based brain state-dependent stimulation (BSDS) design was employed.
Real-time alpha power fluctuations modulated speech loudness during a Digit Span task.
Speech tracking was measured using lagged Gaussian Copula Mutual Information (2-10 Hz), and recall accuracy assessed behavioral performance.

Main Results:

Digit recall accuracy remained consistent across different loudness levels.
Speech tracking showed an inverse relationship with alpha power: louder stimuli during high alpha (low attention) decreased tracking, while quieter stimuli during low alpha (high attention) enhanced it.
Contrary to the hypothesis, increased loudness did not improve speech tracking or memory.

Conclusions:

Internal attentional state is a primary driver of speech encoding, overriding external stimulus salience.
Brain state-dependent stimulation is a viable method for auditory research.
Attentional fluctuations significantly influence neural responses to speech, offering insights for speech-enhancement technologies.