• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于体素形态学的重性抑郁障碍和双相情感障碍的区域性脑容量减少分析。

Regional brain volume reductions in major depressive disorder and bipolar disorder: An analysis by voxel-based morphometry.

机构信息

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Department of Radiology, Nanbu Hospital, Itoman, Okinawa, Japan.

出版信息

Int J Geriatr Psychiatry. 2019 Jan;34(1):186-192. doi: 10.1002/gps.5009. Epub 2018 Nov 9.

DOI:10.1002/gps.5009
PMID:30328161
Abstract

OBJECTIVES

The present study investigated the usefulness of evaluating the existence of volume reduction in brain regions using voxel-based morphometry (VBM) to dissociate major depressive disorder (MDD) from bipolar disorder (BD).

METHODS/DESIGN: This study enrolled 92 individuals with MDD, 32 individuals with BD, and 43 healthy controls (HCs). We focused on gray matter volume (GMV) of the subgenual anterior cingulate cortex (sgACC), subcallosal area (SCA), and hippocampus. The degree of volume reduction in these brain regions was calculated as the z score, and the differences of z scores in these regions were investigated among the MDD, BD, and HC groups. We then performed a receiver operating characteristic curve analysis to dissociate the individuals with MDD and BD from the HCs based on the z scores in the GMV of these brain regions.

RESULTS

While there were no significant differences in the z scores of the hippocampus among the three groups, the z score of the sgACC was significantly higher in the MDD group than in the BD and HC groups, and the SCA z score was significantly higher in the MDD and BD groups than in the HC group.

CONCLUSIONS

Our findings suggest that VBM evaluation of GMV reduction in the sgACC may be useful as an objective adjunctive tool to distinguish between MDD and BD.

摘要

目的

本研究旨在通过基于体素的形态测量学(VBM)评估脑区体积减少的存在,以区分重度抑郁症(MDD)和双相情感障碍(BD)。

方法/设计:本研究纳入了 92 名 MDD 患者、32 名 BD 患者和 43 名健康对照者(HC)。我们重点关注了前扣带回皮质亚区(sgACC)、胼胝下区(SCA)和海马体的灰质体积(GMV)。这些脑区的体积减少程度以 z 分数表示,并在 MDD、BD 和 HC 组之间研究了这些区域的 z 分数差异。然后,我们基于这些脑区 GMV 的 z 分数,进行了受试者工作特征曲线分析,以区分 MDD 和 BD 患者与 HC。

结果

尽管三组之间的海马体 z 分数没有显著差异,但 MDD 组的 sgACC 的 z 分数显著高于 BD 和 HC 组,MDD 和 BD 组的 SCA z 分数显著高于 HC 组。

结论

我们的研究结果表明,sgACC 的 GMV 减少的 VBM 评估可能是区分 MDD 和 BD 的一种有用的客观辅助工具。

相似文献

1
Regional brain volume reductions in major depressive disorder and bipolar disorder: An analysis by voxel-based morphometry.基于体素形态学的重性抑郁障碍和双相情感障碍的区域性脑容量减少分析。
Int J Geriatr Psychiatry. 2019 Jan;34(1):186-192. doi: 10.1002/gps.5009. Epub 2018 Nov 9.
2
Common and distinct abnormal frontal-limbic system structural and functional patterns in patients with major depression and bipolar disorder.抑郁症和双相情感障碍患者额-边缘系统的常见和独特的异常结构和功能模式。
Neuroimage Clin. 2018 Jul 6;20:42-50. doi: 10.1016/j.nicl.2018.07.002. eCollection 2018.
3
Distinct and Shared Endophenotypes of Neural Substrates in Bipolar and Major Depressive Disorders.双相情感障碍和重度抑郁症中神经基质的不同及共享内表型
PLoS One. 2016 Dec 28;11(12):e0168493. doi: 10.1371/journal.pone.0168493. eCollection 2016.
4
Structural imaging biomarkers for bipolar disorder: Meta-analyses of whole-brain voxel-based morphometry studies.双相障碍的结构影像学生物标志物:全脑基于体素形态计量学研究的荟萃分析。
Depress Anxiety. 2019 Apr;36(4):353-364. doi: 10.1002/da.22866. Epub 2018 Nov 26.
5
Disorder-specific volumetric brain difference in adolescent major depressive disorder and bipolar depression.青少年单相抑郁障碍和双相抑郁障碍的特定疾病容积性脑差异。
Brain Imaging Behav. 2014 Mar;8(1):119-27. doi: 10.1007/s11682-013-9264-x.
6
Gray Matter Abnormalities in Non-comorbid Medication-naive Patients with Major Depressive Disorder or Social Anxiety Disorder.非共病未用药的重性抑郁障碍或社交焦虑障碍患者的灰质异常。
EBioMedicine. 2017 Jul;21:228-235. doi: 10.1016/j.ebiom.2017.06.013. Epub 2017 Jun 15.
7
Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder.基于磁共振成像的灰质体积测量的模式识别可区分双相障碍和重性抑郁障碍。
J Affect Disord. 2018 Feb;227:498-505. doi: 10.1016/j.jad.2017.11.043. Epub 2017 Nov 13.
8
In vivo relationship between serotonin 1A receptor binding and gray matter volume in the healthy brain and in major depressive disorder.健康大脑和重度抑郁症中 5-羟色胺 1A 受体结合与灰质体积的体内关系。
Brain Struct Funct. 2018 Jul;223(6):2609-2625. doi: 10.1007/s00429-018-1649-6. Epub 2018 Mar 17.
9
Gray and white matter differences in adolescents and young adults with prior suicide attempts across bipolar and major depressive disorders.双相障碍和重度抑郁症患者中既往有自杀未遂史的青少年和年轻成人的灰质和白质差异。
J Affect Disord. 2019 Feb 15;245:1089-1097. doi: 10.1016/j.jad.2018.11.095. Epub 2018 Nov 22.
10
Hippocampal subfield volumes in major depressive disorder and bipolar disorder.海马亚区体积在重性抑郁障碍和双相障碍中的变化。
Eur Psychiatry. 2019 Apr;57:70-77. doi: 10.1016/j.eurpsy.2019.01.016. Epub 2019 Feb 2.

引用本文的文献

1
A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging.一种基于多模态结构神经成像的用于有效区分双相情感障碍和重度抑郁症的机器学习流程。
Neurosci Appl. 2023 Dec 22;3:103931. doi: 10.1016/j.nsa.2023.103931. eCollection 2024.
2
The Clinical Utility of Biomarkers in Diagnosing Major Depressive Disorder in Adults: A Systematic Review of Literature From 2013 to 2023.生物标志物在成人重度抑郁症诊断中的临床应用:2013年至2023年文献的系统综述
Psychiatry Investig. 2025 Apr;22(4):341-356. doi: 10.30773/pi.2024.0152. Epub 2025 Apr 11.
3
Age exacerbates the negative effect of depression on executive functioning in racial and ethnic minorities.
年龄会加剧抑郁症对少数族裔执行功能的负面影响。
Brain Imaging Behav. 2024 Oct;18(5):1064-1074. doi: 10.1007/s11682-024-00898-3. Epub 2024 Jun 8.
4
Age exacerbates the negative effect of depression on executive functioning in racial and ethnic minorities.年龄会加剧抑郁症对少数族裔执行功能的负面影响。
Res Sq. 2023 Nov 23:rs.3.rs-3606808. doi: 10.21203/rs.3.rs-3606808/v1.
5
Degeneracy and disordered brain networks in psychiatric patients using multivariate structural covariance analyzes.使用多变量结构协方差分析研究精神疾病患者的简并性和紊乱脑网络
Front Psychiatry. 2023 Oct 13;14:1272933. doi: 10.3389/fpsyt.2023.1272933. eCollection 2023.
6
Brain morphology changes after spinal cord injury: A voxel-based meta-analysis.脊髓损伤后脑形态学变化:基于体素的荟萃分析。
Front Neurol. 2022 Sep 1;13:999375. doi: 10.3389/fneur.2022.999375. eCollection 2022.
7
Reduced Gray Matter Volume in Orbitofrontal Cortex Across Schizophrenia, Major Depressive Disorder, and Bipolar Disorder: A Comparative Imaging Study.精神分裂症、重度抑郁症和双相情感障碍患者眶额皮质灰质体积减少:一项比较影像学研究。
Front Neurosci. 2022 Jun 10;16:919272. doi: 10.3389/fnins.2022.919272. eCollection 2022.
8
Reduced Brain Gray Matter Volume in Patients With First-Episode Major Depressive Disorder: A Quantitative Meta-Analysis.首发重度抑郁症患者脑灰质体积减少:一项定量荟萃分析。
Front Psychiatry. 2021 Jul 1;12:671348. doi: 10.3389/fpsyt.2021.671348. eCollection 2021.
9
Similar and Different Regional Homogeneity Changes Between Bipolar Disorder and Unipolar Depression: A Resting-State fMRI Study.双相情感障碍与单相抑郁症之间相似和不同的局部一致性变化:一项静息态功能磁共振成像研究
Neuropsychiatr Dis Treat. 2020 Apr 28;16:1087-1093. doi: 10.2147/NDT.S249489. eCollection 2020.
10
Neurobiology of bipolar disorders: a review of genetic components, signaling pathways, biochemical changes, and neuroimaging findings.双相情感障碍的神经生物学:遗传成分、信号通路、生化变化和神经影像学发现的综述。
Braz J Psychiatry. 2020 Sep-Oct;42(5):536-551. doi: 10.1590/1516-4446-2019-0732.