摘要
Examining the spontaneous activity to understand the neural mechanism of brain disorders and establish neuroimaging-based disease-related biomarkers is a focus in recent resting-state functional MRI (fMRI) studies. The present study hypothesized that resting activity in the default mode network (DMN), which was used for characterizing the resting-state human brain might be different in patients with depressed Parkinson disease (dPD) compared with non-depressed Parkinson disease (ndPD) patients. To test the hypothesis, we firstly employed the Group independent component analysis (ICA) approach to isolate the DMN for the two groups by analyzing the resting-state fMRI data from a group of 12 patients with dPD and a group of 12 age-matched ndPD subjects. Between-group comparison of the functional connectivity in the DMN was then performed to examine the impact of depression on the intrinsic activity in PD. We found 1) the core region from the network the medial prefrontal cortex (MPFC) show significant decreased activity in dPD group compared with ndPD group; 2) the activity in MPFC has significant negative correlation with behavioral measure; 3) the resting activity intensity of MPFC is suggested to be a promising biomarker for distinguishing dPD from ndPD.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Medical Imaging 2011 |
| 主期刊副标题 | Biomedical Applications in Molecular, Structural, and Functional Imaging |
| DOI | |
| 出版状态 | 已出版 - 2011 |
| 已对外发布 | 是 |
| 活动 | Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging - Lake Buena Vista, FL, 美国 期限: 13 2月 2011 → 16 2月 2011 |
出版系列
| 姓名 | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| 卷 | 7965 |
| ISSN(印刷版) | 1605-7422 |
会议
| 会议 | Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging |
|---|---|
| 国家/地区 | 美国 |
| 市 | Lake Buena Vista, FL |
| 时期 | 13/02/11 → 16/02/11 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 3 良好健康与福祉
指纹
探究 'Functional connectivity comparison of the default mode network in non-depressed Parkinson disease and depressed Parkinson disease' 的科研主题。它们共同构成独一无二的指纹。引用此
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