Xulian Zhang, Xuan Cao, Chen Xue, Jingyi Zheng, Shaojun Zhang, Qingling Huang, Weiguo Liu
The current diagnosis of Parkinson's disease (PD) comorbidity with depression (DPD) largely depends on clinical evaluation. However, the modality may tend to lack precision in detecting PD with depression. A radiomic approach that combines functional connectivity and activity with clinical scores has the potential to achieve accurate and differential diagnosis between PD and DPD.
In this study, we aimed to employ the radiomic approach to extract large‐scale features of functional connectiv…
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