Aberrant levels of cortical myelin distinguish individuals with depressive disorders from healthy controls

被引:18
作者
Baranger, David A. A. [1 ]
Halchenko, Yaroslav O. [2 ]
Satz, Skye [1 ]
Ragozzino, Rachel [1 ]
Iyengar, Satish [3 ]
Swartz, Holly A. [1 ]
Manelis, Anna [1 ]
机构
[1] Univ Pittsburgh, Med Ctr, Dept Psychiat, Western Psychiat Inst & Clin, Pittsburgh, PA USA
[2] Dartmouth Coll, Dept Psychol & Brain Sci, Hanover, NH 03755 USA
[3] Univ Pittsburgh, Dept Stat, Pittsburgh, PA USA
关键词
Depression; Cortical myelin; MRI; Machine learning; T1w; T2w ratio; Elastic net; LDA; PROCESSING SPEED; RATING-SCALE; METAANALYSIS; REGULARIZATION; INFORMATION; BIPOLAR;
D O I
10.1016/j.nicl.2021.102790
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
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.
引用
收藏
页数:10
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