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https://doi.org/10.1007/s11682-016-9514-9
Title: | Frequency specific brain networks in Parkinson?s disease and comorbid depression | Authors: | Qian, L Zhang, Y Zheng, L Fu, X Liu, W Shang, Y Zhang, Y Xu, Y Liu, Y Zhu, H Gao, J.-H |
Keywords: | adult Article basal ganglion comorbidity complementary ensemble empirical mode decomposition controlled study data processing depression female functional magnetic resonance imaging human limbic cortex lingual gyrus major clinical study male middle aged nerve cell network occipital gyrus occipital lobe oscillation Parkinson disease priority journal superior frontal gyrus superior temporal gyrus time series analysis visual cortex brain brain mapping complication depression diagnostic imaging nerve tract neuropsychological test nuclear magnetic resonance imaging Parkinson disease pathophysiology rest Brain Brain Mapping Comorbidity Depressive Disorder Female Humans Magnetic Resonance Imaging Male Middle Aged Neural Pathways Neuropsychological Tests Parkinson Disease Rest |
Issue Date: | 2017 | Citation: | Qian, L, Zhang, Y, Zheng, L, Fu, X, Liu, W, Shang, Y, Zhang, Y, Xu, Y, Liu, Y, Zhu, H, Gao, J.-H (2017). Frequency specific brain networks in Parkinson?s disease and comorbid depression. Brain Imaging and Behavior 11 (1) : 224-239. ScholarBank@NUS Repository. https://doi.org/10.1007/s11682-016-9514-9 | Rights: | Attribution 4.0 International | Abstract: | The topological organization underlying the human brain was extensively investigated using resting-state functional magnetic resonance imaging, focusing on a low frequency of signal oscillation from 0.01 to 0.1 Hz. However, the frequency specificities with regard to the topological properties of the brain networks have not been fully revealed. In this study, a novel complementary ensemble empirical mode decomposition (CEEMD) method was used to separate the fMRI time series into five characteristic oscillations with distinct frequencies. Then, the small world properties of brain networks were analyzed for each of these five oscillations in patients (n = 67) with depressed Parkinson?s disease (DPD, n = 20) , non-depressed Parkinson?s disease (NDPD, n = 47) and healthy controls (HC, n = 46). Compared with HC, the results showed decreased network efficiency in characteristic oscillations from 0.05 to 0.12 Hz and from 0.02 to 0.05 Hz for the DPD and NDPD patients, respectively. Furthermore, compared with HC, the most significant inter-group difference across five brain oscillations was found in the basal ganglia (0.01 to 0.05 Hz) and paralimbic-limbic network (0.02 to 0.22 Hz) for the DPD patients, and in the visual cortex (0.02 to 0.05 Hz) for the NDPD patients. Compared with NDPD, the DPD patients showed reduced efficiency of nodes in the basal ganglia network (0.01 to 0.05 Hz). Our results demonstrated that DPD is characterized by a disrupted topological organization in large-scale brain functional networks. Moreover, the CEEMD analysis suggested a prominent dissociation in the topological organization of brain networks between DPD and NDPD in both space and frequency domains. Our findings indicated that these characteristic oscillatory activities in different functional circuits may contribute to distinct motor and non-motor components of clinical impairments in Parkinson?s disease. ? 2016, The Author(s). | Source Title: | Brain Imaging and Behavior | URI: | https://scholarbank.nus.edu.sg/handle/10635/179533 | ISSN: | 19317557 | DOI: | 10.1007/s11682-016-9514-9 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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