Aberrant Brain Network Efficiency in Parkinson’s Disease Patients with Tremor: A Multi-Modality Study

作者: Delong Zhang , Jinhui Wang , Xian Liu , Jun Chen , Bo Liu

DOI: 10.3389/FNAGI.2015.00169

关键词: Parkinson's diseaseMagnetic resonance imagingNetwork analysisNeuroscienceBrain activity and meditationMultivariate analysisPsychologyBrain networkLocal area networkText mining

摘要: The coordination of spontaneous brain activity is widely enhanced relative to compensation in Parkinson’s disease (PD) with tremor; however, the associated topological organization remains unclear. Here, we collected magnetic resonance imaging (MRI) data from 16 patients and 20 matched normal controls (NCs) constructed wavelet-based functional morphological networks for individual participants. Graph-based network analysis indicated that information translation efficiency was disrupted within wavelet scale 2 (i.e., .063–.125 Hz) PD patients. Compared NCs, local decreased global increased Network could effectively discriminate NCs using multivariate pattern (MVPA), also describe variability tremor based on a multiple linear regression model (MLRM). However, these observations were not identified efficiency. Notably, both significantly Further showed performed well classifications MVPA) clinical performance descriptions MLRM). More importantly, highly terms These findings provide comprehensive view disorganization have important implications understanding neural substrates underlying this specific type PD.

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