未服药单相和双相抑郁障碍患者静息态核心脑网络效应连接分析
Analysis of resting-state functional connectivity effects in untreated patients with unipolar and bipolar depressive disorders
查看参考文献36篇
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文摘
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目的比较静息状态下单相抑郁障碍(unipolar depression,UD)、双相抑郁障碍(bipolar depression,BD)患者执行控制网络(executive control network,ECN)、突显网络(salience network, SN)和默认网络(default mode network, DMN)网络内及网络间效应连接的异同,并分析UD与BD患者之间效应连接差异与临床症状的相关性。方法于2021年3月至2022年6月纳入18~35岁未服药的39例UD患者(UD组)、24例BD患者(BD组)和50例健康对照者(healthy control,HC;HC组),采集所有受试者的静息态功能磁共振成像(functional magnetic resonance imaging,fMRI)和T1结构像数据。采用基于频谱的动态因果模型分析方法,检测3组ECN、SN和DMN网络内及网络间效应连接的差异,并进一步采用典型相关的分析方法检测2个患者组之间效应连接的差异与临床症状的相关性。结果与HC组相比,2个患者组均表现出SN网络的网络内兴奋性效应降低[效应连接值均为-0.04,后验概率(posterior probability,Pp)=1.00],且UD组降低更明显(效应连接值=0.02,Pp=0.97)。2个患者组比较显示差异的效应连接较广泛。进一步的相关分析发现,BD组较UD组降低的效应连接与BD组患者的抑郁(χ~2=1 696.10,P<0.01)和躁狂(χ~2=1 699.30,P<0.01)症状均相关,与UD组抑郁症状(χ~2=1 696.10, P<0.01)相关。结论UD和BD患者存在共同的和差异性的核心脑网络效应连接特征,且差异性的特征均与患者抑郁症状的严重程度相关。 |
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其他语种文摘
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Objective To compare the similarity and differences in the intra-and inter-network connectivity effects of the Executive Control Network(ECN), Salience Network(SN) and Default Mode Network(DMN)in patients with unipolar depression(UD)and bipolar depression(BD)patients at resting state. Additionally, the study aims to explore the correlations between clinical symptoms and connectivity differences in the two types of patients. Methods From March 2021 to June 2022, resting-state functional magnetic resonance imaging(fMRI)and T1 structural imaging data were collected from 39 UD patients, 24 BD patients and 50 healthy controls(HC)who were between 18-35 years of age, without being treated by medications. Spectral dynamic causal modeling(spDCM)analysis investigated differences in intra-and inter-network connectivity effects between the two patient groups. Furthermore, the canonical correlation analysis method was used to detect correlations between clinical symptoms and connectivity differences. Results Compared to the HC, both of UD and BD groups showed decreased excitatory effect within the SN(effective connectivity value=-0.04, posterior probability(Pp)=1.00), with the UD group showing a more pronounced reduction(effective connectivity value=0.02, Pp=0.97). The differences in connectivity effects between the two patient groups were extensive. Further correlation analyses found that the decreased connectivity effects in the BD, compared to the UD group, were associated with depressive(χ~2=1 696.10, P<0.01)and manic symptoms(χ~2=1 699.30, P<0.01)symptoms in the BD group, as well as depressive symptoms in the UD group(χ~2=1 696.10, P<0.01). Conclusions UD and BD patients exhibit shared and distinct core brain connectivity characteristics, and the differing features correlate with the severity of depressive symptoms in both UD and BD patients. |
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来源
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中华精神科杂志
,2023,56(4):256-266 【核心库】
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DOI
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10.3760/cma.j.cn113661-20221202-00330
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关键词
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抑郁
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磁共振成像
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脑网络
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效应连接
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地址
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1.
首都医科大学附属北京安定医院国家精神疾病医学中心, 国家精神心理疾病临床医学研究中心;;精神疾病诊断与治疗北京市重点实验室, 北京, 100088
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中国科学院心理研究所, 中国科学院行为科学重点实验室, 北京, 100101
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1006-7884 |
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学科
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神经病学与精神病学 |
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基金
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国家自然科学基金
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首都医科大学附属北京安定医院项目
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文献收藏号
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CSCD:7526272
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参考文献 共
36
共2页
|
|
1.
Friston K J. Functional and effective connectivity: a review.
Brain Connect,2011,1(1):13-36
|
CSCD被引
54
次
|
|
|
|
|
2.
Bressler S L. Large-scale brain networks in cognition: emerging methods and principles.
Trends Cogn Sci,2010,14(6):277-290
|
CSCD被引
31
次
|
|
|
|
|
3.
Menon V. Large-scale brain networks and psychopathology: a unifying triple network model.
Trends Cogn Sci,2011,15(10):483-506
|
CSCD被引
60
次
|
|
|
|
|
4.
Han K M. Differentiating between bipolar and unipolar depression in functional and structural MRI studies.
Prog Neuropsychopharmacol Biol Psychiatry,2019,91:20-27
|
CSCD被引
3
次
|
|
|
|
|
5.
Siegel-Ramsay J E. Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review.
Bipolar Disord,2022,24(5):474-498
|
CSCD被引
1
次
|
|
|
|
|
6.
Almeida J R. Abnormal amygdala-prefrontal effective connectivity to happy faces differentiates bipolar from major depression.
Biol Psychiatry,2009,66(5):451-459
|
CSCD被引
16
次
|
|
|
|
|
7.
Kandilarova S. Altered resting state effective connectivity of anterior insula in depression.
Front Psychiatry,2018,9:83
|
CSCD被引
1
次
|
|
|
|
|
8.
Kandilarova S. Effective connectivity between the orbitofrontal cortex and the precuneus differentiates major psychiatric disorders: results from a transdiagnostic spectral DCM study.
CNS Neurol Disord Drug Targets,2023,22(2):180-190
|
CSCD被引
1
次
|
|
|
|
|
9.
潘轶竹. 双相和单相抑郁障碍患者社会人口学因素和临床特征的比较研究.
中华精神科杂志,2014,47(2):70-73
|
CSCD被引
7
次
|
|
|
|
|
10.
Hamilton M. Development of a rating scale for primary depressive illness.
Br J Soc Clin Psychol,1967,6(4):278-296
|
CSCD被引
65
次
|
|
|
|
|
11.
Young R C. A rating scale for mania: reliability, validity and sensitivity.
Br J Psychiatry,1978,133:429-435
|
CSCD被引
24
次
|
|
|
|
|
12.
Hamilton M. The assessment of anxiety states by rating.
Br J Med Psychol,1959,32(1):50-55
|
CSCD被引
124
次
|
|
|
|
|
13.
Sheehan D V. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10.
J Clin Psychiatry,1998,59(Suppl 20):22-33
|
CSCD被引
65
次
|
|
|
|
|
14.
Friston K J. Movement-related effects in fMRI time-series.
Magn Reson Med,1996,35(3):346-355
|
CSCD被引
33
次
|
|
|
|
|
15.
Dosenbach N U. A dual-networks architecture of top-down control.
Trends Cogn Sci,2008,12(3):99-105
|
CSCD被引
16
次
|
|
|
|
|
16.
Knyazev G G. Task-positive and task-negative networks in major depressive disorder: a combined fMRI and EEG study.
J Affect Disord,2018,235:211-219
|
CSCD被引
5
次
|
|
|
|
|
17.
Broyd S J. Default-mode brain dysfunction in mental disorders: a systematic review.
Neurosci Biobehav Rev,2009,33(3):279-296
|
CSCD被引
40
次
|
|
|
|
|
18.
Williamson P. Are anticorrelated networks in the brain relevant to schizophrenia?.
Schizophr Bull,2007,33(4):994-1003
|
CSCD被引
5
次
|
|
|
|
|
19.
Sridharan D. A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.
Proc Natl Acad Sci U S A,2008,105(34):12569-12574
|
CSCD被引
39
次
|
|
|
|
|
20.
Du Y. Group information guided ICA for fMRI data analysis.
Neuroimage,2013,69:157-197
|
CSCD被引
6
次
|
|
|
|
|
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