Neural Plasticity · 2021 · 16 citations · 55 references
Life SciencesNeurosciencePsychiatryClinical NeuroscienceNeuropsychiatryNeuropsychologyBrain ConnectivityBrain ImagingConnectomicsFunctional ConnectivityFunctional NeuroimagingThalamocortical SystemsFunctional Brain ConnectivityFunctional Brain NetworksFunctional Connectivity MriFunctional Magnetic Resonance ImagingResting-state ConnectivitySupport Vector ClassificationSupport Vector Machine ClassificationWhole-brain Connectomics
Background: Previous studies explored the whole-brain functional connectome using the degree approach in patients with obsessive-compulsive disorder (OCD). However, whether the altered degree values can be used to discriminate OCD from healthy controls (HCs) remains unclear. Methods: A total of 40 medication-free patients with OCD and 38 HCs underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. Data were analyzed with the degree approach and a support vector machine (SVM) classifier. Results: Patients with OCD showed increased degree values in the left thalamus and left cerebellum Crus I and decreased degree values in the left dorsolateral prefrontal cortex, right precuneus, and left postcentral gyrus. SVM classification analysis indicated that the increased degree value in the left thalamus is a marker of OCD, with an acceptable accuracy of 88.46%, sensitivity of 87.50%, and specificity of 89.47%. Conclusion: Altered degree values within and outside the cortical-striatal-thalamic-cortical (CSTC) circuit may cocontribute to the pathophysiology of OCD. Increased degree values of the left thalamus can be used as a future marker for OCD understanding-classification.
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DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging
Chao‐Gan Yan, Xindi Wang, Xi‐Nian Zuo et al. · Neuroinformatics · 2016 · 3.8K citations · Full text