Classification of major depressive disorder based on functional and structural MRI

Yucheng Wei; Junlong Gao

doi:10.1117/12.3037818

12 September 2024 Classification of major depressive disorder based on functional and structural MRI

Yucheng Wei, Junlong Gao

Author Affiliations +

Proceedings Volume 13256, Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024); 132560J (2024) https://doi.org/10.1117/12.3037818
Event: Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024), 2024, Anshan, China

Abstract

Depression is one of the most common mental health disorders and has been a major focus of research, particularly through the lens of automated diagnostic methods. While many studies have explored magnetic resonance imaging techniques separately, the integration of multiple neuroimaging modalities has received less attention. To address this gap, we introduce a multimodal automatic classification method that leverages both resting-state functional magnetic resonance imaging and structural magnetic resonance imaging. Our approach employs a multi-stream 3D Convolutional Neural Network model to facilitate joint training on diverse features extracted from rs-fMRI and sMRI data. By classifying a combined group of 830 MDD patients and 771 normal controls from the REST-meta-MDD dataset, our model achieves an impressive accuracy of 69.38% using a feature combination of CSF, REHO, and fALFF. This result signifies a notable enhancement in classification performance, contributing valuable insights into the capabilities of multimodal imaging in MDD diagnosis.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Yucheng Wei and Junlong Gao "Classification of major depressive disorder based on functional and structural MRI", Proc. SPIE 13256, Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024), 132560J (12 September 2024); https://doi.org/10.1117/12.3037818

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KEYWORDS

3D modeling

Magnetic resonance imaging

Data modeling

Functional magnetic resonance imaging

Diagnostics

3D image processing

Brain

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