Quantitative and histologically validated measures of the entorhinal subfields in ex vivo MRI.
Quantitative and histologically validated measures of the entorhinal subfields in ex vivo MRI.
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DOI：
10.1093/braincomms/fcac074
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发表时间：
2022
影响因子：
4.8
通讯作者：
中科院分区：
文献类型：
--
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神经成像研究通常使用海马体体积作为阿尔茨海默病严重程度的衡量标准，但海马体变化在疾病过程中发生得太晚，潜在的治疗方法无法奏效。内嗅皮层是阿尔茨海默病最早受到影响的皮质区域之一；它的神经元特别容易受到神经原纤维缠绕的影响。内嗅性萎缩也与非临床阿尔茨海默病向临床阿尔茨海默病的转化有关。在神经成像中，到目前为止，人类内嗅觉皮质大多被认为是整体的，或者被划分为内侧区域和外侧区域。细胞结构的差异为亚场分离提供了机会。在阿尔茨海默病进展的关键时间点，我们在子场特定的水平上研究了内嗅皮层。虽然MRI允许多维定量测量，但只有组织学才能提供足够的准确性来确定亚场边界-这是在内嗅觉皮质内进行定量测量的先决条件。这项研究使用组织学数据验证了超高分辨率7 特斯拉体外磁共振成像，并在总共10例临床前阿尔茨海默病和正常对照病例中创建了内嗅子区域分区。采用体外MRI技术，测量了8个内嗅区(嗅区、吻区、内侧区、中间区、吻侧区、尾侧区、尾侧区和尾侧区)的皮质厚度、体积和软脑膜表面积。我们的数据表明，性别、Braak和Braak分期对体积、皮质厚度或软膜表面积没有影响。全内嗅皮层平均体积为1131 ± 55.72 mm~3，软膜表面积为429 ± 22.6mm2(平均 ± 扫描电子显微镜)。亚野体积占整个内嗅皮层的百分比分别为：嗅觉：18.73 ± 1.82%，吻侧：14.06 ± 0.63%，吻侧：14.81 ± 1.22%，内侧：6.72 ± 0.72%，中间：23.36 ± 1.85%，尾侧：5.42 ± 0.33%，尾侧：10.99 ± 1.02%，尾缘：5.91 ± 0.40%(均为 ± )。嗅觉和中间亚区在体积和软脑膜表面积方面显示出最广泛的个体内变异(跨学科变异)。这项研究提供了经过验证的措施。它绘制了个性图，并展示了内嗅皮层的人类变异性，为个性化医学的方法提供了基线。综上所述，这项研究为未来的活体比较和治疗提供了一项实地验证研究。基于超高分辨率的7T体外磁共振成像，并通过大量的组织学数据进行验证，Jan Oltmer et。艾尔。分离临床前阿尔茨海默病患者和认知对照组的内嗅皮层，并在阿尔茨海默病进展的关键时间点进行子场特异性定量测量。
Neuroimaging studies have routinely used hippocampal volume as a measure of Alzheimer’s disease severity, but hippocampal changes occur too late in the disease process for potential therapies to be effective. The entorhinal cortex is one of the first cortical areas affected by Alzheimer’s disease; its neurons are especially vulnerable to neurofibrillary tangles. Entorhinal atrophy also relates to the conversion from non-clinical to clinical Alzheimer’s disease. In neuroimaging, the human entorhinal cortex has so far mostly been considered in its entirety or divided into a medial and a lateral region. Cytoarchitectonic differences provide the opportunity for subfield parcellation. We investigated the entorhinal cortex on a subfield-specific level—at a critical time point of Alzheimer’s disease progression. While MRI allows multidimensional quantitative measurements, only histology provides enough accuracy to determine subfield boundaries—the pre-requisite for quantitative measurements within the entorhinal cortex. This study used histological data to validate ultra-high-resolution 7 Tesla ex vivo MRI and create entorhinal subfield parcellations in a total of 10 pre-clinical Alzheimer’s disease and normal control cases. Using ex vivo MRI, eight entorhinal subfields (olfactory, rostral, medial intermediate, intermediate, lateral rostral, lateral caudal, caudal, and caudal limiting) were characterized for cortical thickness, volume, and pial surface area. Our data indicated no influence of sex, or Braak and Braak staging on volume, cortical thickness, or pial surface area. The volume and pial surface area for mean whole entorhinal cortex were 1131 ± 55.72 mm3 and 429 ± 22.6 mm2 (mean ± SEM), respectively. The subfield volume percentages relative to the entire entorhinal cortex were olfactory: 18.73 ± 1.82%, rostral: 14.06 ± 0.63%, lateral rostral: 14.81 ± 1.22%, medial intermediate: 6.72 ± 0.72%, intermediate: 23.36 ± 1.85%, lateral caudal: 5.42 ± 0.33%, caudal: 10.99 ± 1.02%, and caudal limiting: 5.91 ± 0.40% (all mean ± SEM). Olfactory and intermediate subfield revealed the most extensive intra-individual variability (cross-subject variance) in volume and pial surface area. This study provides validated measures. It maps individuality and demonstrates human variability in the entorhinal cortex, providing a baseline for approaches in individualized medicine. Taken together, this study serves as a ground-truth validation study for future in vivo comparisons and treatments. Based on ultra-high-resolution 7 T ex vivo MRI validated with extensive histological data, Jan Oltmer et. Al. parcellated the entorhinal cortex in preclinical Alzheimer's disease patients and cognitive controls and conducted subfield specific quantitative measurements in a critical time point of Alzheimer's disease progression.
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DOI：
10.1111/jon.12297
发表时间：
2016-05
期刊：
Journal of neuroimaging : official journal of the American Society of Neuroimaging
影响因子：
--
作者：
Hasan KM;Mwangi B;Cao B;Keser Z;Tustison NJ;Kochunov P;Frye RE;Savatic M;Soares J
通讯作者：
Soares J
影响因子：
3.7
作者：
Dickerson, Bradford C.;Bakkour, Akram;Salat, David H.;Feczko, Eric;Pacheco, Jenni;Greve, Douglas N.;Grodstein, Fran;Wright, Christopher I.;Blacker, Deborah;Rosas, H. Diana;Sperling, Reisa A.;Atri, Alireza;Growdon, John H.;Hyman, Bradley T.;Morris, John C.;Fischl, Bruce;Buckner, Randy L.
通讯作者：
Buckner, Randy L.
影响因子：
56.9
作者：
Fyhn, M;Molden, S;Moser, MB
通讯作者：
Moser, MB
影响因子：
7
作者：
Braak, H;Braak, E
通讯作者：
Braak, E
影响因子：
14.5
作者：
Albert, Marilyn;Zhu, Yuxin;Wang, Mei-Cheng
通讯作者：
Wang, Mei-Cheng