利用基于分形维度的新型结构磁共振成像分析,探索健忘症轻度认知障碍的皮层形态生物标志物。

IF 2.7 4区 医学 Q3 NEUROSCIENCES European Journal of Neuroscience Pub Date : 2024-10-01 DOI:10.1111/ejn.16557
Chi-Wen Jao, Yu-Te Wu, Jiann-Horng Yeh, Yuh-Feng Tsai, Chen-Yu Hsiao, Chi Ieong Lau
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引用次数: 0

摘要

失忆性轻度认知障碍(aMCI)被认为是阿尔茨海默病的中期阶段,但目前还没有磁共振成像生物标志物能有效区分aMCI和健康人。分形维度是一种定量参数,与传统的皮质厚度方法相比,它能提供更好的形态学信息。很少有研究使用皮质分形维度值来区分 aMCI 和健康对照组。在这项研究中,我们旨在利用大脑皮层的分形维度测量值建立一个自动判别器,以准确区分 aMCI。30 名 aMCI 患者和 30 名健康对照者接受了大脑结构磁共振成像检查。首先,利用分形维度和皮质厚度评估了德西坎-基利安尼皮质图谱中参与者皮质亚区的萎缩情况。分形维度在减少维度效应方面比皮层厚度更敏感,可准确反映 aMCI 患者皮层的形态变化。aMCI 组的双侧颞叶、右侧边缘叶和右侧顶叶的分形维度值明显较低,而只有双侧颞叶的皮层厚度值明显较低。分形维度分析能够描绘出大部分通过皮质厚度检测到的明显不同的病灶区域,但此外还能描绘出更多区域。其次,应用测量到的两个大脑半球的分形维度(和皮层厚度),为 aMCI 和健康对照组建立了一个无监督的判别器。所提出的基于分形维度的方法在区分 aMCI 和健康对照组方面达到了 80.54% 的准确率。分形维度似乎是一种很有前景的皮质形态变化生物标志物,可以区分 aMCI 患者和健康对照组。
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Exploring cortical morphology biomarkers of amnesic mild cognitive impairment using novel fractal dimension-based structural MRI analysis

Amnestic mild cognitive impairment (aMCI) is considered as an intermediate stage of Alzheimer's disease, but no MRI biomarkers currently distinguish aMCI from healthy individuals effectively. Fractal dimension, a quantitative parameter, provides superior morphological information compared to conventional cortical thickness methods. Few studies have used cortical fractal dimension values to differentiate aMCI from healthy controls. In this study, we aim to build an automated discriminator for accurately distinguishing aMCI using fractal dimension measures of the cerebral cortex. Thirty aMCI patients and 30 health controls underwent structural MRI of the brain. First, the atrophy of participants' cortical sub-regions of Desikan–Killiany cortical atlas was assessed using fractal dimension and cortical thickness. The fractal dimension is more sensitive than cortical thickness in reducing dimensional effects and may accurately reflect morphological changes of the cortex in aMCI. The aMCI group had significantly lower fractal dimension values in the bilateral temporal lobes, right limbic lobe and right parietal lobe, whereas they showed significantly lower cortical thickness values only in the bilateral temporal lobes. Fractal dimension analysis was able to depict most of the significantly different focal regions detected by cortical thickness, but additionally with more regions. Second, applying the measured fractal dimensions (and cortical thickness) of both cerebral hemispheres, an unsupervised discriminator was built for the aMCI and healthy controls. The proposed fractal dimension-based method achieves 80.54% accuracy in discriminating aMCI from healthy controls. The fractal dimension appears to be a promising biomarker for cortical morphology changes that can discriminate patients with aMCI from healthy controls.

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来源期刊
European Journal of Neuroscience
European Journal of Neuroscience 医学-神经科学
CiteScore
7.10
自引率
5.90%
发文量
305
审稿时长
3.5 months
期刊介绍: EJN is the journal of FENS and supports the international neuroscientific community by publishing original high quality research articles and reviews in all fields of neuroscience. In addition, to engage with issues that are of interest to the science community, we also publish Editorials, Meetings Reports and Neuro-Opinions on topics that are of current interest in the fields of neuroscience research and training in science. We have recently established a series of ‘Profiles of Women in Neuroscience’. Our goal is to provide a vehicle for publications that further the understanding of the structure and function of the nervous system in both health and disease and to provide a vehicle to engage the neuroscience community. As the official journal of FENS, profits from the journal are re-invested in the neuroscientific community through the activities of FENS.
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