机构:[1]Department of Neurobiology, Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, China老年医学科首都医科大学宣武医院[2]Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou China[3]Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China[4]Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal University, Hangzhou China[5]Beijing Key Laboratory on Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing 10053, China[6]National Clinical Research Center for Geriatric Disorders, Beijing 100053, China
Background: Resting-state functional magnetic resonance imaging (RS-fMRI) has frequently been used to investigate local spontaneous brain activity in Parkinson's disease (PD) in a whole-brain, voxel-wise manner. To quantitatively integrate these studies, we conducted a coordinate-based (CB) meta-analysis using the signed differential mapping method on 15 studies that used amplitude of low-frequency fluctuation (ALFF) and 11 studies that used regional homogeneity (ReHo). All ALFF and ReHo studies compared PD patients with healthy controls. We also performed a validation RS-fMRI study of ALFF and ReHo in a frequency-dependent manner for a novel dataset consisting of 49 PD and 49 healthy controls. Findings: Decreased ALFF was found in the left putamen in PD by meta-analysis. This finding was replicated in our independent validation dataset in the 0.027-0.073 Hz band but not in the conventional frequency band of 0.01-0.08 Hz. Conclusions: Findings from the current study suggested that decreased ALFF in the putamen of PD patients is the most consistent finding. RS-fMRI is a promising technique for the precise localization of abnormal spontaneous activity in PD. However, more frequency-dependent studies using the same analytical methods are needed to replicate these results.
基金:
National Natural Science Foundation of China [81571228, 81271652, 81520108016, 31471084]; Ministry of Science and Technology [2016YFC1306503]; Beijing Municipal Commission of Health and Family Planning [PXM 2017 026283 000002]
第一作者机构:[1]Department of Neurobiology, Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, China[2]Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou China[3]Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China[4]Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal University, Hangzhou China
通讯作者:
通讯机构:[1]Department of Neurobiology, Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, China[2]Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou China[3]Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China[4]Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal University, Hangzhou China[5]Beijing Key Laboratory on Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing 10053, China[6]National Clinical Research Center for Geriatric Disorders, Beijing 100053, China
推荐引用方式(GB/T 7714):
Jue Wang,Jia-Rong Zhang,Yu-Feng Zang,et al.Consistent decreased activity in the putamen in Parkinson's disease: a meta-analysis and an independent validation of resting-state fMRI[J].GIGASCIENCE.2018,7(6):doi:10.1093/gigascience/giy071.
APA:
Jue Wang,Jia-Rong Zhang,Yu-Feng Zang&Tao Wu.(2018).Consistent decreased activity in the putamen in Parkinson's disease: a meta-analysis and an independent validation of resting-state fMRI.GIGASCIENCE,7,(6)
MLA:
Jue Wang,et al."Consistent decreased activity in the putamen in Parkinson's disease: a meta-analysis and an independent validation of resting-state fMRI".GIGASCIENCE 7..6(2018)