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Individual connectivity-based parcellations reflect functional properties of human auditory cortex.
M Hakonen1,2, L Dahmani1,2, K Lankinen1,2
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA.
Biorxiv : the Preprint Server for Biology
|January 31, 2024
Summary
This study reveals that individual brain scans, using functional network analysis and high-resolution fMRI, can reliably map unique auditory cortex organization. Individual-specific brain maps better reflect personal auditory function than group averages.
Area of Science:
- Neuroimaging
- Auditory Neuroscience
- Human Brain Mapping
Background:
- Traditional neuroimaging studies of auditory cortex rely on group analyses, potentially obscuring individual differences.
- Understanding the functional organization of the human superior temporal cortex (STC) is crucial for auditory processing research.
Purpose of the Study:
- To map auditory areas in the human STC using individual-specific functional network parcellations.
- To investigate the reliability and variability of these parcellations across individuals and sessions.
- To determine if individual-specific parcellations better represent auditory function compared to group-level analyses.
Main Methods:
- Utilized 1-mm isotropic resolution 7 Tesla functional magnetic resonance imaging (fMRI) in 30 participants.
- Employed functional network analysis on resting-state and auditory/audiovisual speech localizer fMRI data.
- Generated and evaluated functional network-based parcellations, selecting solutions with 4, 6, and 11 networks based on Dice and Silhouette values.
Main Results:
- Auditory cortex parcellations demonstrated high intraindividual reproducibility (Dice: 69-78% resting-state, 62-73% resting-state vs. task).
- Interindividual variability in parcellations was significantly greater than intraindividual variability (Dice: 57-68%).
- Individual-specific parcellations showed superior alignment with task response topographies and higher connectional homogeneity, outperforming group-level approaches.
Conclusions:
- Functional network-based parcellations reliably segment auditory areas in the STC at the individual level.
- Individual-specific parcellations capture meaningful idiosyncrasies in auditory cortex organization, reflecting individual differences in auditory function.
- The observed functional variability is not explained by macroanatomical similarities, highlighting the importance of functional mapping.
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