Neural Correlates of Response to Pharmacotherapy in Obsessive-Compulsive Disorder: Individualized Cortical Morphology-Based Structural Covariance

被引:44
作者
Yun, Je-Yeon [1 ]
Jang, Joon Hwan [1 ]
Kim, Sung Nyun [1 ]
Jung, Wi Hoon [2 ]
Kwon, Jun Soo [1 ,2 ,3 ]
机构
[1] Seoul Natl Univ, Coll Med, Dept Psychiat & Behav Sci, Seoul 110744, South Korea
[2] SNU MRC, Inst Human Behav Med, Seoul, South Korea
[3] Seoul Natl Univ, Coll Nat Sci, Dept Brain & Cognit Sci, Seoul 110744, South Korea
基金
新加坡国家研究基金会;
关键词
obsessive-compulsive disorder; pharmacotherapy; structural covariance network; support vector machine; treatment response; MAJOR DEPRESSIVE DISORDER; DRUG-NAIVE PATIENTS; ALZHEIMERS-DISEASE; WHITE-MATTER; SCALE; NETWORKS; ESCITALOPRAM; FMRI; CONNECTIVITY; ACTIVATION;
D O I
10.1016/j.pnpbp.2015.06.009
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Primary pharmacotherapy regimen for obsessive-compulsive disorder (OCD) named Serotonin reuptake inhibitors (SRIs) does not attain sufficient symptom improvement in 40-60% of OCD. We aimed to decode the differential profile of OCD-related brain pathology per subject in the context of cortical surface area (CSA) or thickness (CT)-based individualized structural covariance (ISC) and to demonstrate the potential of which as a biomarker of treatment response to SRI-based pharmacotherapy in OCD using the support vector machine (SVM). Methods: T1-weighted magnetic resonance imaging was obtained at 3 T from 56 unmedicated OCD subjects and 75 healthy controls (HCs) at baseline. After 4 months of SRI-based pharmacotherapy, the OCD subjects were classified as responders (OCD-R,N = 25; >= 35% improvement) or nonresponders (OCD-NR,N = 31; <35% improvement) according to the percentage change in the Yale-Brown Obsessive Compulsive Scale total score. Cortical ISCs sustaining between-group difference (p <.001) for every run of leave-one-out group-comparison were packaged as feature set for group classification using the SVM. Results: An optimal feature set of the top 12 ISCs including a CT-ISC between the dorsolateral prefrontal cortex versus precuneus, a CSA-ISC between the anterior insula versus intraparietal sulcus, as well as perisylvian area-related ISCs predicted the initial prognosis of OCD as OCD-R or OCD-NR with an accuracy of 89.0% (sensitivity 88.4%, specificity 90.1%). Extended sets of ISCs distinguished the OCD subjects from the HCs with 90.7-95.6% accuracy (sensitivity 90.8-96.2%, specificity 91.1-95.0%). Conclusion: We showed the potential of cortical morphology-based ISCs, which reflect dysfunctional cortical maturation process, as a possible biomarker that predicts the clinical treatment response to SRI-based pharmacotherapy in OCD. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:126 / 133
页数:8
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