Related Experiment Video
Updated: Jul 14, 2026

06:34
Infant Auditory Processing and Event-related Brain Oscillations
Published on: July 1, 2015
Frequency-following response: effects of interaural time and intensity differences.
B B Ballachanda1, G Moushegian
1Department of Speech and Hearing Sciences, University of New Mexico, Albuquerque 87131, USA.
Journal of the American Academy of Audiology
|March 31, 2000
Summary
The frequency-following response (FFR) can reveal how the brainstem processes sound localization cues like interaural time differences (ITDs). This research shows FFRs distinguish between different ITDs, suggesting potential for assessing binaural hearing.
Area of Science:
- Neuroscience
- Auditory Neuroscience
- Bioacoustics
Background:
- Sound localization in mammals relies on brainstem mechanisms.
- The frequency-following response (FFR) reflects neural activity synchronized with auditory stimuli.
- Investigating FFR's potential for assessing binaural processing is crucial.
Purpose of the Study:
- To determine if brainstem neural mechanisms for sound lateralization can be extracted from the FFR.
- To analyze how interaural time differences (ITDs) and intensity affect FFR.
- To explore FFR's utility in identifying normal and abnormal binaural processing.
Main Methods:
- Recorded monaural and binaural FFRs from normal-hearing subjects.
- Used low-frequency tone bursts with varying ITDs (0-667 µsec) and sound intensity levels (40-60 dB SL).
- Presented stimuli in concert and opposition to mimic lateralization.
Main Results:
- Overall intensity and ITDs differentially impacted FFR waveforms.
- FFRs evoked by ITDs and intensity variations were distinctly different.
- The binaural interaction component (BIC) remained largely unaffected by ITDs and intensity.
- Distinguishable FFR waveforms were observed for various ITDs and lateralization stimuli.
Conclusions:
- The FFR effectively distinguishes between different ITDs and lateralization stimuli.
- ITDs are critical cues for sound localization in mammals.
- The FFR shows potential as a tool for evaluating binaural processing in the lower brainstem.
Related Concept Videos
Sound Intensity Level
Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources.
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and hence a...
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and hence a...
Doppler Effect - II
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
Interference: Path Lengths
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Beats
The study of music provides many examples of the superposition of waves and the constructive and destructive interference that occurs. Very few examples of music being performed consist of a single source playing a single frequency for an extended period of time. A single frequency of sound for an extended period might be monotonous to the point of irritation, similar to the unwanted drone of an aircraft engine or a loud fan. Music is pleasant and exciting due to mixing the changing frequencies...
Properties of Fourier Transform I
The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
Properties of Fourier Transform II
The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...

