| Literature DB >> 34455188 |
David A A Baranger1, Yaroslav O Halchenko2, Skye Satz3, Rachel Ragozzino3, Satish Iyengar4, Holly A Swartz3, Anna Manelis5.
Abstract
The association between depressive disorders and measures reflecting myelin content is underexplored, despite growing evidence of associations with white matter tract integrity. We characterized the T1w/T2w ratio using the Glasser atlas in 39 UD and 47 HC participants (ages = 19-44, 75% female). A logistic elastic net regularized regression with nested cross-validation and a subsequent linear discriminant analysis conducted on held-out samples were used to select brain regions and classify patients vs. healthy controls (HC). True-label model performance was compared against permuted-label model performance. The T1w/T2w ratio distinguished patients from HC with 68% accuracy (p < 0.001; sensitivity = 63.8%, specificity = 71.5%). Brain regions contributing to this classification performance were located in the orbitofrontal cortex, anterior cingulate, extended visual, and auditory cortices, and showed statistically significant differences in the T1w/T2w ratio for patients vs. HC. As the T1w/T2w ratio is thought to characterize cortical myelin, patterns of cortical myelin in these regions may be a biomarker distinguishing individuals with depressive disorders from HC.Entities:
Keywords: Cortical myelin; Depression; Elastic net; LDA; MRI; Machine learning; T1w/T2w ratio
Mesh:
Year: 2021 PMID: 34455188 PMCID: PMC8406024 DOI: 10.1016/j.nicl.2021.102790
Source DB: PubMed Journal: Neuroimage Clin ISSN: 2213-1582 Impact factor: 4.881