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

Zhang D, Wang J, Liu X, Chen J, Liu B - Front Aging Neurosci (2015)

Bottom Line: Notably, the global and local efficiency were both significantly increased in the morphological brain network of PD patients.We further found that the global and local network efficiency both worked well on PD classifications (i.e., using MVPA) and clinical performance descriptions (i.e., using MLRM).More importantly, functional and morphological brain networks were highly associated in terms of network local efficiency in PD patients.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Guangdong Provincial Hospital of Chinese Medicine , Guangzhou , China ; Guangzhou University of Chinese Medicine Postdoctoral Mobile Research Station , Guangzhou , China.

ABSTRACT
The coordination of spontaneous brain activity is widely enhanced relative to compensation activity in Parkinson's disease (PD) with tremor; however, the associated topological organization remains unclear. This study collected magnetic resonance imaging data from 36 participants [i.e., 16 PD patients and 20 matched normal controls (NCs)] and constructed wavelet-based functional and morphological brain networks for individual participants. Graph-based network analysis indicated that the information translation efficiency in the functional brain network was disrupted within the wavelet scale 2 (i.e., 0.063-0.125 Hz) in PD patients. Compared with the NCs, the network local efficiency was decreased and the network global efficiency was increased in PD patients. Network local efficiency could effectively discriminate PD patients from the NCs using multivariate pattern analysis, and could also describe the variability of tremor based on a multiple linear regression model (MLRM). However, these observations were not identified in the network global efficiency. Notably, the global and local efficiency were both significantly increased in the morphological brain network of PD patients. We further found that the global and local network efficiency both worked well on PD classifications (i.e., using MVPA) and clinical performance descriptions (i.e., using MLRM). More importantly, functional and morphological brain networks were highly associated in terms of network local efficiency in PD patients. This study sheds lights on network disorganization in PD with tremor and helps for understanding the neural basis underlying this type of PD.

No MeSH data available.


Related in: MedlinePlus

Network nodal efficiency difference between the PD and NC groups. L, the left hemisphere; R, the right hemisphere; gE, global efficiency; locE, local efficiency; red color indicates increased efficiency; and green color indicates decreased efficiency in PD patients.
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Figure 2: Network nodal efficiency difference between the PD and NC groups. L, the left hemisphere; R, the right hemisphere; gE, global efficiency; locE, local efficiency; red color indicates increased efficiency; and green color indicates decreased efficiency in PD patients.

Mentions: Similarly, we also found that the morphological networks of the PD patients showed significantly increased nodal local efficiency in the right inferior frontal gyrus (orbital part) and precentral gyrus, and left insula and post cingulated cortex, and cerebellum (i.e., Vermis_6). Decreased local nodal efficiency was found in the right Heschl gyrus and precuneus gyrus, and bilateral medial superior frontal gyrus in PD patients. Increased global nodal efficiency was found in regions, including the right inferior occipital cortex, inferior frontal gyrus (orbital part), precental gyrus, and Heschl gyrus. The details are shown in Figure 2.


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

Zhang D, Wang J, Liu X, Chen J, Liu B - Front Aging Neurosci (2015)

Network nodal efficiency difference between the PD and NC groups. L, the left hemisphere; R, the right hemisphere; gE, global efficiency; locE, local efficiency; red color indicates increased efficiency; and green color indicates decreased efficiency in PD patients.
© Copyright Policy
Related In: Results  -  Collection

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Show All Figures
getmorefigures.php?uid=PMC4553412&req=5

Figure 2: Network nodal efficiency difference between the PD and NC groups. L, the left hemisphere; R, the right hemisphere; gE, global efficiency; locE, local efficiency; red color indicates increased efficiency; and green color indicates decreased efficiency in PD patients.
Mentions: Similarly, we also found that the morphological networks of the PD patients showed significantly increased nodal local efficiency in the right inferior frontal gyrus (orbital part) and precentral gyrus, and left insula and post cingulated cortex, and cerebellum (i.e., Vermis_6). Decreased local nodal efficiency was found in the right Heschl gyrus and precuneus gyrus, and bilateral medial superior frontal gyrus in PD patients. Increased global nodal efficiency was found in regions, including the right inferior occipital cortex, inferior frontal gyrus (orbital part), precental gyrus, and Heschl gyrus. The details are shown in Figure 2.

Bottom Line: Notably, the global and local efficiency were both significantly increased in the morphological brain network of PD patients.We further found that the global and local network efficiency both worked well on PD classifications (i.e., using MVPA) and clinical performance descriptions (i.e., using MLRM).More importantly, functional and morphological brain networks were highly associated in terms of network local efficiency in PD patients.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Guangdong Provincial Hospital of Chinese Medicine , Guangzhou , China ; Guangzhou University of Chinese Medicine Postdoctoral Mobile Research Station , Guangzhou , China.

ABSTRACT
The coordination of spontaneous brain activity is widely enhanced relative to compensation activity in Parkinson's disease (PD) with tremor; however, the associated topological organization remains unclear. This study collected magnetic resonance imaging data from 36 participants [i.e., 16 PD patients and 20 matched normal controls (NCs)] and constructed wavelet-based functional and morphological brain networks for individual participants. Graph-based network analysis indicated that the information translation efficiency in the functional brain network was disrupted within the wavelet scale 2 (i.e., 0.063-0.125 Hz) in PD patients. Compared with the NCs, the network local efficiency was decreased and the network global efficiency was increased in PD patients. Network local efficiency could effectively discriminate PD patients from the NCs using multivariate pattern analysis, and could also describe the variability of tremor based on a multiple linear regression model (MLRM). However, these observations were not identified in the network global efficiency. Notably, the global and local efficiency were both significantly increased in the morphological brain network of PD patients. We further found that the global and local network efficiency both worked well on PD classifications (i.e., using MVPA) and clinical performance descriptions (i.e., using MLRM). More importantly, functional and morphological brain networks were highly associated in terms of network local efficiency in PD patients. This study sheds lights on network disorganization in PD with tremor and helps for understanding the neural basis underlying this type of PD.

No MeSH data available.


Related in: MedlinePlus