Function of the auditory cortex characterized by its intrinsic dynamic coactivation patterns estimated in individuals

Area of Science:

• Neuroscience
• Auditory Neuroscience
• Functional Neuroimaging

Background:

• Conventional methods struggle to map auditory cortex (AC) organization due to broad region responsiveness and static analysis approaches.
• The brain's dynamic network organization is crucial but often overlooked in auditory cortex studies.

Purpose of the Study:

• To investigate dynamically varying coactivation patterns within the auditory cortex (AC) using a novel network-based algorithm.
• To characterize the functional organization of the AC by analyzing dynamic network activity during rest and auditory stimulation.

Main Methods:

• Utilized high-resolution 7T fMRI data to analyze local network coactivation patterns in the auditory cortex.
• Applied a novel, individualized network-based algorithm to identify reproducible dynamic patterns.
• Examined eight distinct AC network patterns for reproducibility and interindividual variability.

Main Results:

• Identified a set of eight reproducible dynamic AC coactivation patterns with high consistency between sessions.
• Demonstrated significant interindividual variability in AC pattern occurrence and spatial topography.
• Found strong similarities between resting-state and task-based AC coactivation patterns.
• Observed correlations between AC pattern occurrence rates and specific task contrasts, indicating synchronization with auditory input.

Conclusions:

• Auditory cortex function is characterized by dynamically varying coactivation patterns, observable during both spontaneous activity and auditory tasks.
• These dynamic patterns are consistently present and synchronize with auditory stimuli, offering new insights into AC organization.
• Findings support a more nuanced understanding of the interplay between spontaneous and stimulus-driven brain activity in the AC.