Related Experiment Video
Updated: Jan 28, 2026
09:37
Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
Published on: July 5, 2015
9.5K
Attention and speech-processing related functional brain networks activated in a multi-speaker environment
Brigitta Tóth1, Dávid Farkas1,2, Gábor Urbán1,2
1Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.
Plos One
|March 1, 2019
Summary
Brain networks adapt to listening demands. Focused attention on speech uses frontal connections, while divided attention engages parietal networks, showing frequency-specific processing.
Area of Science:
- Neuroscience
- Auditory Perception
- Cognitive Psychology
Background:
- Humans can selectively attend to one speech stream amidst multiple.
- Understanding the neural basis of auditory attention is crucial for cognitive science.
Purpose of the Study:
- To investigate whole-brain functional networks for focusing vs. dividing auditory attention.
- To explore speech processing across different time scales and depths.
Main Methods:
- Simultaneous presentation of two speech narratives.
- Listeners performed content tracking and detection tasks under focused and divided attention conditions.
- Analysis of brain network connectivity across different frequency bands (delta, alpha, beta).
Main Results:
- Speech content tracking correlated with delta band connectivity (0.5-4 Hz).
- Detection tasks linked to alpha (8-10 Hz) and beta (13-30 Hz) band networks.
- Focused attention showed stronger frontal cortex connectivity across delta, alpha, and beta bands.
- Divided attention revealed stronger parietal cortex connectivity in delta and beta bands.
Conclusions:
- Brain network oscillation frequencies relate to speech information integration time windows.
- Frontal and parietal networks play distinct roles in focused versus divided auditory attention.
- Connectivity patterns reflect attentional control mechanisms for information selection and parallel processing.
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