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脑血流动力学作为轻度认知障碍与老年期抑郁症之间的诊断桥梁:一种使用经颅多普勒和磁共振成像的多模态方法

Cerebral Hemodynamics as a Diagnostic Bridge Between Mild Cognitive Impairment and Late-Life Depression: A Multimodal Approach Using Transcranial Doppler and MRI.

作者信息

Arnautu Sergiu-Florin, Arnautu Diana-Aurora, Andor Minodora, Vacarescu Cristina, Cozma Dragos, Bernad Brenda-Cristina, Juratu Catalin, Tutelca Adrian, Jianu Catalin-Dragos

机构信息

Centre for Cognitive Research in Neuropsychiatric Pathology (NeuroPsy-Cog), Department of Neuro-Sciences, Victor Babes University of Medicine and Pharmacy, E. Murgu Sq., No. 2, 300041 Timisoara, Romania.

Department of Internal Medicine I, Faculty of Medicine, Victor Babes University of Medicine and Pharmacy, 2nd Eftimie Murgu Square, 340001 Timisoara, Romania.

出版信息

Life (Basel). 2025 Aug 6;15(8):1246. doi: 10.3390/life15081246.

Abstract

BACKGROUND

Vascular dysfunction is increasingly recognized as a shared contributor to both cognitive impairment and late-life depression (LLD). However, the combined diagnostic value of cerebral hemodynamics, neuroimaging markers, and neuropsychological outcomes remains underexplored. This study aimed to investigate the associations be-tween transcranial Doppler (TCD) ultrasound parameters, cognitive performance, and depressive symptoms in older adults with mild cognitive impairment (MCI) and LLD. Importantly, we evaluated the integrative value of TCD-derived indices alongside MRI-confirmed white matter lesions (WMLs) and standardized neurocognitive and affective assessments.

METHODS

In this cross-sectional study, 96 older adults were enrolled including 78 cognitively unimpaired individuals and 18 with MCI. All participants underwent structured clinical, neuropsychological, and imaging evaluations including the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Geriatric Depression Scale (GDS-15), MRI-based Fazekas scoring of WMLs, and TCD ultrasonography of the middle cerebral artery. Hemodynamic variables included mean blood flow velocity (MBFV), end-diastolic velocity (EDV), pulsatility index (PI), and resistive index (RI). Logistic regression and receiver operating characteristic (ROC) analyses were used to identify independent predictors of MCI.

RESULTS

Participants with MCI showed significantly lower MBFV and EDV, and higher PI and RI ( < 0.05 for all) compared with cognitively unimpaired participants. In multivariate analysis, lower MBFV (OR = 0.64, = 0.02) and EDV (OR = 0.70, = 0.03), and higher PI (OR = 3.2, < 0.01) and RI (OR = 1.9, < 0.01) remained independently associated with MCI. ROC analysis revealed excellent discriminative performance for RI (AUC = 0.919) and MBFV (AUC = 0.879). Furthermore, PI correlated positively with depressive symptom severity, while RI was inversely related to the GDS-15 scores.

CONCLUSIONS

Our findings underscore the diagnostic utility of TCD-derived hemodynamic parameters-particularly RI and MBFV-in identifying early vascular contributions to cognitive and affective dysfunction in older adults. The integration of TCD with MRI-confirmed WML assessment and standardized cognitive/mood measures represents a novel and clinically practical multi-modal approach for neurovascular profiling in aging populations.

摘要

背景

血管功能障碍日益被认为是认知障碍和老年期抑郁症(LLD)的共同促成因素。然而,脑血流动力学、神经影像学标志物和神经心理学结果的综合诊断价值仍未得到充分探索。本研究旨在调查轻度认知障碍(MCI)和LLD老年人的经颅多普勒(TCD)超声参数、认知表现和抑郁症状之间的关联。重要的是,我们评估了TCD衍生指标与MRI证实的白质病变(WMLs)以及标准化神经认知和情感评估的综合价值。

方法

在这项横断面研究中,纳入了96名老年人,包括78名认知未受损个体和18名MCI患者。所有参与者均接受了结构化临床、神经心理学和影像学评估,包括简易精神状态检查表(MMSE)、蒙特利尔认知评估量表(MoCA)、老年抑郁量表(GDS-15)、基于MRI的WMLs Fazekas评分以及大脑中动脉的TCD超声检查。血流动力学变量包括平均血流速度(MBFV)、舒张末期速度(EDV)、搏动指数(PI)和阻力指数(RI)。采用逻辑回归和受试者工作特征(ROC)分析来确定MCI的独立预测因素。

结果

与认知未受损参与者相比,MCI参与者的MBFV和EDV显著降低,PI和RI显著升高(均P<0.05)。在多变量分析中,较低的MBFV(OR = 0.64,P = 0.02)和EDV(OR = 0.70,P = 0.03),以及较高的PI(OR = 3.2,P<0.01)和RI(OR = 1.9,P<0.01)仍与MCI独立相关。ROC分析显示RI(AUC = 0.919)和MBFV(AUC = 0.879)具有出色的鉴别性能。此外,PI与抑郁症状严重程度呈正相关,而RI与GDS-15评分呈负相关。

结论

我们的研究结果强调了TCD衍生的血流动力学参数——尤其是RI和MBFV——在识别老年人认知和情感功能障碍早期血管因素方面的诊断效用。将TCD与MRI证实的WML评估以及标准化认知/情绪测量相结合,代表了一种针对老年人群神经血管剖析的新颖且临床实用的多模式方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb9/12387835/61dc39c39d7f/life-15-01246-g001.jpg

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