机构:[a]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[b]Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
Patients with Parkinson's disease (PD) have difficulty in per forming learned movements automatically The neural mechanism of this deficiency remains unclear In the current Study, we used functional MRI (fMRI) and psychophysiological interaction (PPI) methods to investigate the changes in effective connectivity of the brain networks when movements become automatic in PD patients and age-marched normal controls We found that during automaticity, the rostra] Supplementary motor area, cerebellum, and cingulate motor area had increased effective connectivity with brain networks in PD patients In controls, in addition to these regions, the putamen also had automaticity-related strengthened interactions with brain networks The dorsal lateral prefrontal cortex had more connectivity at the novel stage than in the automatic stage in normal Subjects, but not in PD patients The comparison of the I'll] results between the groups showed that the rostral supplementary motor area, cerebellum, and cingulate motor area had significantly more increased effective connectivity with several regions in normal subjects than in PD The changes of effective connectivity in some areas negatively correlated with the Unified Patkinson's Disease Rating Scale (UPDRS) Our findings show that some of the factors related to PD patients having difficulty achieving automaticity are less efficient neural coding of movement and failure to shift execution of automatic movements more subcortically. The changes of effective connectivity become more abnormal as the disorder progresses. In addition, in PD. the connections of the attentional networks are altered Published by Elsevier Inc.
基金:
National Institute of Neurological Disorders and Stroke Intramural Competitive Fellowship; National Science Foundation of China, Grant No. 30570530 and 30870693; the Intramural Research Program of the NINDS, NIH.
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外文
被引次数:
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PubmedID:
中科院(CAS)分区:
出版当年[2009]版:
大类|2 区医学
小类|1 区神经成像1 区核医学2 区神经科学
最新[2023]版:
大类|2 区医学
小类|1 区神经成像2 区神经科学2 区核医学
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出版当年[2008]版:
Q1NEUROSCIENCESQ1NEUROIMAGINGQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q1NEUROIMAGINGQ1NEUROSCIENCESQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构:[a]Department of Neurobiology, Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, China[b]Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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通讯机构:[*]Bldg 10, Rm 7D37, 10 Center Drive MSC 1428, Bethesda, MD 20892-1428, USA.
推荐引用方式(GB/T 7714):
Tao Wu,Piu Chan,Mark Hallett.Effective connectivity of neural networks in automatic movements in Parkinson's disease[J].NEUROIMAGE.2010,49(3):2581-2587.doi:10.1016/j.neuroimage.2009.10.051.
APA:
Tao Wu,Piu Chan&Mark Hallett.(2010).Effective connectivity of neural networks in automatic movements in Parkinson's disease.NEUROIMAGE,49,(3)
MLA:
Tao Wu,et al."Effective connectivity of neural networks in automatic movements in Parkinson's disease".NEUROIMAGE 49..3(2010):2581-2587