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海马亚区体积在整个健康寿命中的变化以及 MR 序列对其估计的影响。

Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates.

机构信息

Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Canada.

Computional Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada.

出版信息

Neuroimage. 2021 Jun;233:117931. doi: 10.1016/j.neuroimage.2021.117931. Epub 2021 Mar 4.

Abstract

The hippocampus has been extensively studied in various neuropsychiatric disorders throughout the lifespan. However, inconsistent results have been reported with respect to which subfield volumes are most related to age. Here, we investigate whether these discrepancies may be explained by experimental design differences that exist between studies. Multiple datasets were used to collect 1690 magnetic resonance scans from healthy individuals aged 18-95 years old. Standard T1-weighted (T1w; MPRAGE sequence, 1 mm voxels), high-resolution T2-weighted (T2w; SPACE sequence, 0.64 mm voxels) and slab T2-weighted (Slab; 2D turbo spin echo, 0.4 × 0.4 × 2 mm voxels) images were included. The MAGeT Brain algorithm was used for segmentation of the hippocampal grey matter (GM) subfields and peri-hippocampal white matter (WM) subregions. Linear mixed-effect models and Akaike information criterion were used to examine linear, second or third order natural splines relationship between hippocampal volumes and age. We demonstrated that stratum radiatum/lacunosum/moleculare and fornix subregions expressed the highest relative volumetric decrease, while the cornus ammonis 1 presented a relative volumetric preservation of its volume with age. We also found that volumes extracted from slab images demonstrated different age-related relationships compared to volumes extracted from T1w and T2w images. The current work suggests that although T1w, T2w and slab derived subfield volumetric outputs are largely homologous, modality choice plays a meaningful role in the volumetric estimation of the hippocampal subfields.

摘要

海马体在整个生命周期中的各种神经精神疾病中都得到了广泛的研究。然而,关于哪些亚区体积与年龄最相关,研究结果并不一致。在这里,我们研究这些差异是否可以用研究之间存在的实验设计差异来解释。使用多个数据集从 18-95 岁的健康个体中收集了 1690 次磁共振扫描。标准 T1 加权(T1w;MPRAGE 序列,1mm 体素)、高分辨率 T2 加权(T2w;SPACE 序列,0.64mm 体素)和板状 T2 加权(Slab;2D 涡轮自旋回波,0.4×0.4×2mm 体素)图像均包括在内。MAGeT Brain 算法用于分割海马灰质(GM)亚区和海马旁白质(WM)亚区。线性混合效应模型和赤池信息量准则用于检查海马体积与年龄之间的线性、二阶或三阶自然样条关系。我们表明,放射状层/腔隙状层/分子层和穹窿亚区表现出最高的相对体积减少,而 Cornu Ammonis 1 则表现出其体积随年龄的相对体积保持。我们还发现,与从 T1w 和 T2w 图像中提取的体积相比,从板状图像中提取的体积表现出不同的与年龄相关的关系。目前的工作表明,尽管 T1w、T2w 和 Slab 衍生的亚区体积输出在很大程度上是同源的,但模态选择在海马亚区体积估计中起着有意义的作用。

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