Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA.
Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 410 West 10th Street, Suite 5000, Indianapolis, IN, 46202, USA.
Brain Imaging Behav. 2018 Dec;12(6):1583-1595. doi: 10.1007/s11682-017-9819-3.
The hippocampus has been widely studied using neuroimaging, as it plays an important role in memory and learning. However, hippocampal subfield information is difficult to capture by standard magnetic resonance imaging (MRI) techniques. To facilitate morphometric study of hippocampal subfields, ADNI introduced a high resolution (0.4 mm in plane) T2-weighted turbo spin-echo sequence that requires 8 min. With acceleration, the protocol can be acquired in 4 min. We performed a comparative study of hippocampal subfield volumes using standard and accelerated protocols on a Siemens Prisma 3T MRI in an independent sample of older adults that included 10 cognitively normal controls, 9 individuals with subjective cognitive decline, 10 with mild cognitive impairment, and 6 with a clinical diagnosis of Alzheimer's disease (AD). The Automatic Segmentation of Hippocampal Subfields (ASHS) software was used to segment 9 primary labeled regions including hippocampal subfields and neighboring cortical regions. Intraclass correlation coefficients were computed for reliability tests between 4 and 8 min scans within and across the four groups. Pairwise group analyses were performed, covaried for age, sex and total intracranial volume, to determine whether the patterns of group differences were similar using 4 vs. 8 min scans. The 4 and 8 min protocols, analyzed by ASHS segmentation, yielded similar volumetric estimates for hippocampal subfields as well as comparable patterns of differences between study groups. The accelerated protocol can provide reliable imaging data for investigation of hippocampal subfields in AD-related MRI studies and the decreased scan time may result in less vulnerability to motion.
海马体在记忆和学习中起着重要作用,因此被广泛应用于神经影像学研究。然而,标准磁共振成像(MRI)技术难以捕捉海马亚区的信息。为了便于进行海马亚区的形态计量学研究,ADNI 引入了一种高分辨率(0.4 毫米平面)的 T2 加权涡轮自旋回波序列,需要 8 分钟。通过加速,该协议可以在 4 分钟内采集。我们在独立的老年样本中使用标准和加速协议在西门子 Prisma 3T MRI 上对海马亚区体积进行了对比研究,该样本包括 10 名认知正常对照者、9 名主观认知下降者、10 名轻度认知障碍者和 6 名阿尔茨海默病(AD)的临床诊断者。使用自动分割海马亚区(ASHS)软件对包括海马亚区和相邻皮质区在内的 9 个主要标记区域进行分割。在四个组内和组间进行了 4 到 8 分钟扫描的可靠性测试的组内相关系数计算。进行了两两组分析,协变量为年龄、性别和总颅内体积,以确定使用 4 分钟与 8 分钟扫描时组间差异模式是否相似。通过 ASHS 分割分析,4 分钟和 8 分钟协议均可获得相似的海马亚区体积估计值,以及研究组之间差异的可比模式。加速协议可以为 AD 相关 MRI 研究中海马亚区的研究提供可靠的成像数据,并且扫描时间的减少可能会降低运动敏感性。