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海马体特定神经功能亚区容积变化与重度抑郁症的关系。

Volumetric changes in specific neurofunctional subfields of the hippocampus in major depressive disorder.

机构信息

Yueyang Clinical Medicine School, Shanghai University of Traditional Chinese Medicine.

Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine.

出版信息

Neuroreport. 2022 Jun 8;33(9):380-385. doi: 10.1097/WNR.0000000000001794. Epub 2022 May 11.

Abstract

OBJECTIVE

There is evidence that hippocampal volume is abnormal in patients with major depressive disorder (MDD), but there have been no studies on volumetric changes in different subfields based on functional topography. This was investigated in the present study by comparing hippocampal neurofunctional subfield volumes between MDD patients and healthy control (HC) subjects.

METHODS

Patients with MDD (n = 44) and HCs (n = 27) recruited at Shanghai Traditional Chinese Medicine Integrated Hospital underwent a T1-weighted anatomical MRI scan in the sagittal orientation, and the data were used to calculate hippocampal subfield volumes. Logistic regression was used to evaluate the association between the volumes and risk of MDD. A nomogram for predicting MDD risk based on volume changes in different subfields was developed, and its predictive power was evaluated by calculating the concordance (C)-index.

RESULTS

Compared with HCs, MDD patients showed reduced volume in hippocampal neurofunctional subfields, specifically in left (L)1, right (R)1, and R2 (related to emotion) and L2, L3, and R4 (related to cognition and perception). The logistic regression analysis revealed that the risk of MDD was 4.59-, 5.8-, 8.33-, and 6.92-fold higher with atrophies of L1, L2, L3, and R4, respectively. A nomogram for predicting MDD risk was developed based on age; sex; and hippocampal L1, L2, L3, and R4 subfield volumes and showed good accuracy, with a C-index of 0.784.

CONCLUSION

Volumetric changes in the neurofunctional subfield of the hippocampus are potential imaging markers that can predict the occurrence of MDD.

摘要

目的

有证据表明,在重度抑郁症(MDD)患者中,海马体积异常,但基于功能拓扑结构,尚未有关于不同子场容积变化的研究。本研究通过比较 MDD 患者和健康对照(HC)受试者之间的海马神经功能子场体积来对此进行研究。

方法

上海中医药大学附属曙光医院招募的 44 例 MDD 患者和 27 例 HC 受试者接受了矢状位 T1 加权解剖 MRI 扫描,数据用于计算海马亚场体积。采用 logistic 回归评估体积与 MDD 风险之间的关联。根据不同子场体积变化开发了一个用于预测 MDD 风险的列线图,并通过计算一致性(C)指数评估其预测能力。

结果

与 HC 相比,MDD 患者的海马神经功能子场体积减少,特别是左(L)1、右(R)1 和 R2(与情绪相关)以及 L2、L3 和 R4(与认知和感知相关)。logistic 回归分析显示,L1、L2、L3 和 R4 萎缩的 MDD 风险分别高出 4.59、5.8、8.33 和 6.92 倍。基于年龄、性别以及海马 L1、L2、L3 和 R4 子场体积,开发了一个用于预测 MDD 风险的列线图,其具有良好的准确性,C 指数为 0.784。

结论

海马神经功能子场的体积变化是预测 MDD 发生的潜在影像学标志物。

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