摘要
目的:阿尔茨海默病传统上被认为是脑灰质疾病,然而,弥散张量成像研究已经证明阿尔茨海默病也涉及白质完整性的改变。我们测量了阿尔茨海默病患者和健康年龄匹配的对照者的下胼area体区域,旁侧回和穹窿中的神经元束的束的数量,束的长度,束的体积,定量的各向异性和一般的分数各向异性。我们的假设是,患有阿尔茨海默病的患者应该表现出对于语义记忆功能至关重要的这些白质结构完整性的降低。 方法:我们的研究中选择了24例确诊的阿尔茨海默病诊断患者和24例健康对照(AD中心,捷克布拉格查尔斯大学神经病学系)。阿尔茨海默病患者和对照组之间的统计学显着性差异在左穹窿和右穹窿上均有发现,但仅与管道数量和管道长度有关。阿尔茨海默病患者和对照组之间的胼sub体下区和旁侧回显示统计学显着性差异,但仅在左侧并且仅与通道体积和定量各向异性有关。 结论:我们对这些发现的解释在于严重的海马萎缩(以及随后的功能丧失),伴有代偿性肥大的阿尔茨海默氏病中发生的胼sub体下区和旁侧回神经元纤维,作为对由通过穹窿形成海马结构。
关键词: 阿尔茨海默氏病,DTI,纤维束成像术,下胼area体区域,旁侧回,穹窿。
Current Alzheimer Research
Title:Compensatory Shift of Subcallosal Area and Paraterminal Gyrus White Matter Parameters on DTI in Patients with Alzheimer Disease
Volume: 15 Issue: 6
关键词: 阿尔茨海默氏病,DTI,纤维束成像术,下胼area体区域,旁侧回,穹窿。
摘要: Objective: Alzheimer disease is traditionally conceptualized as a disease of brain gray matter, however, studies with diffusion tensor imaging have demonstrated that Alzheimer disease also involves alterations in white matter integrity. We measured number of tracts, tracts length, tract volume, quantitative anisotropy and general fractional anisotropy of neuronal tracts in subcallosal area, paraterminal gyrus and fornix in patients with Alzheimer disease and healthy age-matched controls. Our hypothesis was that patients with Alzheimer disease should exhibit decrease in the integrity of these white matter structures that are crucial for semantic memory function.
Methods: For our study were selected 24 patients with confirmed Alzheimer disease diagnosis and 24 healthy controls (AD center, Department of Neurology, Charles University, Prague, Czech Republic). Statistically significant differences between the patients with Alzheimer disease and the control group were found both on the left and right fornices but only concerning the tract numbers and tract length. The subcallosal area and paraterminal gyrus showed statistically significant differences between the patients with Alzheimer disease and the control group, but only on the left side and only associated with the tract volume and quantitative anisotropy.
Conclusion: Our explanation for these findings lies in the severe hippocampal atrophy (and subsequent loss of function) with compensatory hypertrophy of the subcallosal area and paraterminal gyrus neuronal fibers that occurs in Alzheimer's disease, as an adaptation to the loss of projection from the hippocampal formation via fornix.
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Cite this article as:
Compensatory Shift of Subcallosal Area and Paraterminal Gyrus White Matter Parameters on DTI in Patients with Alzheimer Disease, Current Alzheimer Research 2018; 15 (6) . https://dx.doi.org/10.2174/1567205015666171227155510
DOI https://dx.doi.org/10.2174/1567205015666171227155510 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
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Alzheimer's disease is a progressive neurodegenerative disorder that affects millions of people worldwide. Despite decades of research, no cure or disease-modifying treatment is available yet. Therefore, the need for developing effective therapies to treat Alzheimer's disease is an urgent matter. This special issue aims to provide a comprehensive overview of ...read more
Current updates on the Role of Neuroinflammation in Neurodegenerative Disorders
Neuroinflammation is an invariable hallmark of chronic and acute neurodegenerative disorders and has long been considered a potential drug target for Alzheimer?s disease (AD) and dementia. Significant evidence of inflammatory processes as a feature of AD is provided by the presence of inflammatory markers in plasma, CSF and postmortem brain ...read more
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Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
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