Related Experiment Video
Updated: Feb 9, 2026

10:13
A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds
Published on: November 26, 2012
14.8K
Group and individual variability in speech production networks during delayed auditory feedback
Z K Agnew1, C McGettigan1, B Banks1
1Institute for Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, United Kingdom.
The Journal of the Acoustical Society of America
|June 3, 2018
Summary
Susceptibility to delayed auditory feedback (DAF) during speech varies. Brain activity in the midbrain, sensorimotor cortex, and inferior frontal gyrus correlates with speech fluency under different DAF durations.
Area of Science:
- Neuroscience
- Speech Science
- Cognitive Science
Background:
- Altering sensory feedback, such as introducing delayed auditory feedback (DAF), significantly impacts speech production, leading to voice and loudness changes and dysfluencies.
- Individual differences in susceptibility to DAF exist, but the underlying neural mechanisms remain poorly understood.
Purpose of the Study:
- To investigate the neural basis of speech fluency changes under varying DAF conditions (50 ms and 200 ms).
- To identify neural correlates of within- and between-subject variability in DAF susceptibility.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was employed to examine brain activity during speech production under two DAF conditions.
- Speech fluency was rated, and these ratings were correlated with neural activity patterns.
Main Results:
- Neural networks for speech production under DAF largely overlap with those active during normal speech.
- Midbrain periaqueductal gray activity was associated with fluency, independent of the DAF condition.
- Variability in speech fluency under 200 ms DAF correlated with ventral sensorimotor cortex activity.
- Left inferior frontal gyrus activity was associated with fluency under 50 ms DAF.
Conclusions:
- Overlapping cortical mechanisms support speech production under different DAF temporal delays.
- Susceptibility to distinct temporal delays in auditory speech feedback may involve separable neural processes.
More Related Videos
Related Concept Videos
Feedback Inhibition
57.3K
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
57.3K
Feedback Loops
64.6K
In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
64.6K
Network Covalent Solids
16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Effects of feedback
1.0K
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
1.0K
Protein Networks
4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Feedback control systems
727
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
727

