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Multivariate Concavity Amplitude Index (MCAI) for characterizing Heschl's gyrus shape.
Josué Luiz Dalboni da Rocha1, Olga Kepinska2, Peter Schneider3
1Department of Diagnostic Imaging, St Jude Children's Research Hospital, Memphis, USA; Brain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland.
A new toolbox, Multivariate Concavity Amplitude Index (MCAI), automatically assesses Heschl's gyrus shape. This tool reveals reproducible shape variations linked to musicianship and individual differences.
Area of Science:
- Neuroscience
- Neuroimaging
- Computational anatomy
Background:
- Heschl's gyrus (HG), part of the primary auditory cortex, exhibits significant individual variability in shape and gyrification patterns.
- Previous research suggests HG shape differences correlate with phonetic learning, expertise, and professional musicianship.
- Common HG configurations include single HG and common stem duplications (CSD), characterized by the presence of a sulcus intermedius (SI).
Purpose of the Study:
- To introduce and validate a novel computational toolbox, the Multivariate Concavity Amplitude Index (MCAI), for automated assessment of HG shape.
- To quantify shape variations in HG using continuous indices of concavity.
- To explore the application of MCAI in analyzing HG morphology in relation to individual differences, expertise, and potential disorders.
Main Methods:
- Development of the Multivariate Concavity Amplitude Index (MCAI) toolbox, which processes output from the TASH toolbox for HG segmentation.
- MCAI computes directional, continuous indices of concavity along the perimeter of an inflated HG representation.
- Application of MCAI to structural MRI data from 181 participants, including musicians (professional and amateur) and non-musicians.
Main Results:
- MCAI provides a reproducible and sensitive multivariate measure of HG shape, capable of detecting subtle variations.
- High correlations were observed between MCAI's dominant lateral concavity values and visual assessments of lateral gyrification.
- MCAI successfully replicated previous findings, indicating a higher prevalence of bilateral CSDs in musicians compared to non-musicians.
Conclusions:
- The MCAI toolbox offers an automated, objective, and sensitive method for quantifying HG shape.
- MCAI facilitates the investigation of HG morphology in diverse contexts, including individual differences, skill acquisition, and neurological conditions.
- This tool has broad potential for research in auditory cortex development, plasticity, and clinical applications.
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