Key result
Cortical myelin patterns distinguish unipolar depression from healthy controls with 68% accuracy.
Why the study?
The association of unipolar depression with cortical myelin is underexplored despite evidence linking depression with white matter tract integrity.
Can cortical myelin patterns distinguish unipolar depression from healthy controls?
Population
39 unipolar depression and 47 healthy control participants aged 19-44, 75% female
Comparison
Unipolar depression vs healthy controls
Design
Case-control study using logistic elastic net regularized regression and linear discriminant analysis
Authors
Loading...
May support cortical myelin patterns as a depression biomarker; leaves open validation in larger prospective studies.
Case-Control (n=86)
Can cortical myelin patterns distinguish unipolar depression from healthy controls?
Effect estimate: 68% accuracy
p-value: p=<0.001
Cortical myelin patterns in specific brain regions may serve as a biomarker to distinguish unipolar depression from healthy controls.
Ulrich Grouven (1996) conducted a case-control in Unipolar depression (n=86). Unipolar depression vs. Healthy controls was evaluated on Classification accuracy of unipolar depression versus healthy controls based on cortical myelin (68% accuracy, p=<0.001). Cortical myelin patterns distinguished patients with unipolar depression from healthy controls with 68% accuracy (sensitivity 63.8%, specificity 71.5%, p<0.001).
Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context: