Mohd Tamrin, Mohd Izzuddin and Jamaludin, Iqbal and Sapuan, Abdul Halim and Che Azemin, Mohd Zulfaezal and Shah, Asadullah (2026) Lightweight texture-based classification of Huffaz status from structural MRI using GLCM correlation and Brodmann-area VOIs. VFAST Transactions on Software Engineering, 14 (1). pp. 301-317. ISSN 2411-6246 E-ISSN 2309-3978
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Abstract
Previous neuroimaging studies suggest that intensive Quran memorization may be associated with structural brain differences, but simple and interpretable MRI-based biomarkers remain limited. This study investigated whether a single interpretable radiomics feature, gray-level co-occurrence matrix (GLCM) Correlation, extracted from predefined Brodmann Area (BA) volumes of interest (VOIs), is associated with Huffaz status. A cross-sectional case-control design was used involving 47 participants (23 Huffaz, 24 non-Huffaz). Structural MRI scans were pre-processed using a standard SPM pipeline to generate modulated, warped, and smoothed tissue-class images (smwc*.nii). Inferential analyses were restricted to five literature-driven candidate regions (BA22, BA24, BA32, BA40, and BA46) to reduce multiplicity. Best-subset logistic regression was performed with sex forced into all models and Bayesian Information Criterion (BIC) used for model selection. Bootstrap resampling was applied to assess feature-selection stability. BA46 GLCM Correlation emerged as the lowest-BIC predictor set. Bootstrap resampling showed higher selection stability for BA46 (approximately 0.68 selection frequency) than for the other candidate regions (approximately 0.13–0.15), supporting a reproducible single-region signal within the tested set. These findings suggest that BA46 texture organization, as captured by GLCM Correlation, may differentiate Huffaz from non-Huffaz after adjustment for sex.The modest sample size and lack of external validation limit generalizability. Nevertheless, the findings support the potential of an interpretable single-feature radiomics biomarker and motivate further validation in larger independent cohorts, as well as robustness analyses across preprocessing and discretization settings.
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | Structural MRI Radiomics, Gray-Level Co-Occurance Matrix (GLCM) Correlation, Brodmann Area 46, Texture Analysis, Huffaz (Quran Memorization) |
| Subjects: | BPC Science and Technology in Islam Q Science > Q Science (General) |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Allied Health Sciences Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology |
| Depositing User: | Mohd Izzuddin Mohd Tamrin |
| Date Deposited: | 01 Apr 2026 16:24 |
| Last Modified: | 01 Apr 2026 16:24 |
| Queue Number: | 2026-03-Q2705 |
| URI: | http://irep.iium.edu.my/id/eprint/128134 |
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