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Abnormal cortical atrophy and functional connectivity are associated with depression in Parkinson's disease

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机构: [1]Kunming Med Univ, Affiliated Hosp 1, Dept Geriatr Neurol, Kunming, Peoples R China [2]Chengdu Seventh Peoples Hosp, Dept Neurol, Chengdu, Peoples R China [3]Kunming Med Univ, Affiliated Hosp 1, Dept Radiol, Kunming, Peoples R China [4]Kunming Xishan Dist Peoples Hosp, Dept Anesthesia, Kunming, Peoples R China [5]Yunnan Prov Clin Res Ctr Neurol Dis, Kunming, Peoples R China [6]Yunnan Prov Clin Res Ctr Geriatr Dis, Kunming, Peoples R China
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关键词: Parkinson's disease depression cortical atrophy functional connectivity neuroimaging biomarkers

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ObjectiveThis study aimed to investigate the association of altered cortical thickness and functional connectivity (FC) with depression in Parkinson's disease (PD). Materials and methodsA total of 26 non-depressed PD patients (PD-ND), 30 PD patients with minor depression (PD-MnD), 32 PD patients with major depression (PD-MDD), and 30 healthy controls (HC) were enrolled. Differences in cortical thickness among the four groups were assessed, and the results were used to analyze FC differences in regions of cortical atrophy. Binary logistic regression and receiver operating characteristic (ROC) curve analyses were also performed to identify clinical features and neuroimaging biomarkers that might help in the prediction of PD-MDD. ResultsPatients with PD-MDD showed decreased cortical thickness compared to patients with PD-ND in the left superior temporal and right rostral middle frontal gyri (RMFG), as well as weak FC between the left superior temporal gyrus and right cerebellum posterior lobe and between right RMFG and right inferior frontal gyrus and insula. The combination of cortical thickness, FC, and basic clinical features showed strong potential for predicting PD-MDD based on the area under the ROC curve (0.927, 95% CI 0.854-0.999, p < 0.001). ConclusionPatients with PD-MDD show extensive cortical atrophy and FC alterations, suggesting that cortical thickness and FC may be neuroimaging-based diagnostic biomarkers for PD-MDD.

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基金编号: 81960242 81860247 202101AY070001-115 2019FE001-048 202001AT070001 202102AA100061 202103AA100069

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出版当年[2023]版:
大类 | 2 区 医学
小类 | 3 区 老年医学 3 区 神经科学
最新[2023]版:
大类 | 2 区 医学
小类 | 3 区 老年医学 3 区 神经科学
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出版当年[2022]版:
Q2 GERIATRICS & GERONTOLOGY Q2 NEUROSCIENCES
最新[2023]版:
Q2 GERIATRICS & GERONTOLOGY Q2 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者机构: [1]Kunming Med Univ, Affiliated Hosp 1, Dept Geriatr Neurol, Kunming, Peoples R China
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通讯机构: [1]Kunming Med Univ, Affiliated Hosp 1, Dept Geriatr Neurol, Kunming, Peoples R China [5]Yunnan Prov Clin Res Ctr Neurol Dis, Kunming, Peoples R China [6]Yunnan Prov Clin Res Ctr Geriatr Dis, Kunming, Peoples R China
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