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Auditory Pathway

Auditory Pathway

Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...

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Related Experiment Video

Updated: Nov 23, 2025

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation

Published on: June 14, 2014

Pre- and post-target cortical processes predict speech-in-noise performance.

Subong Kim¹, Adam T Schwalje², Andrew S Liu²

¹Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN 47907, USA.

|January 2, 2021

Summary

This summary is machine-generated.

Individual differences in speech-in-noise (SiN) understanding stem from distinct cortical processes. Enhanced neural sensitivity to noise and post-speech processing in the supramarginal gyrus significantly predict SiN performance.

Keywords:

Electroencephalography Individual differences Speech recognition Speech unmasking Speech-in-noise Supramarginal gyrus

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Last Updated: Nov 23, 2025

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Study Design for Navigated Repetitive Transcranial Magnetic Stimulation for Speech Cortical Mapping

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Area of Science:

Neuroscience
Auditory Neuroscience
Cognitive Neuroscience

Background:

Speech-in-noise (SiN) comprehension is complex, involving multiple brain systems.
Individual SiN ability varies beyond basic hearing, suggesting central neural factors are key.
Understanding these neural underpinnings is crucial for addressing hearing impairments.

Purpose of the Study:

To identify specific cortical functions contributing to SiN ability.
To investigate how these functions explain individual differences in SiN performance.
To differentiate the roles of pre- and post-stimulus neural activity.

Main Methods:

Source-localized electroencephalography (EEG) was used to analyze brain activity during a SiN task.
Within-subject analysis examined effects of acoustic signal-to-noise ratio (SNR) on cortical responses.
An individual differences approach correlated neural measures with SiN performance.

Main Results:

Stronger responses in the left supramarginal gyrus (SMG) were observed with improved SNR.
An 'internal SNR' derived from early auditory-cortical responses predicted SiN performance.
Post-speech SMG activity further explained variance in SiN performance beyond internal SNR.

Conclusions:

SiN performance relies on at least two independent cortical processes.
Pre-target processing likely attenuates background noise representations.
Post-target processing extracts crucial information from speech sounds, with SMG playing a key role.