Advances in high-resolution imaging and computational unfolding of the human hippocampus.

Advances in high-resolution imaging and computational unfolding of the human hippocampus.
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DOI:
10.1016/j.neuroimage.2009.03.017
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发表时间:
2009-08-01
期刊:
影响因子:
5.7
通讯作者:
Bookheimer SY
Bookheimer SY
中科院分区:
医学1区
文献类型:
--
作者:
Ekstrom AD;Bazih AJ;Suthana NA;Al-Hakim R;Ogura K;Zeineh M;Burggren AC;Bookheimer SY

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海马体由于其复杂的结构以及对信号丢失的敏感性,通常是磁共振成像(MRI)和功能性磁共振成像(fMRI)难以清晰成像的结构。提高我们使用fMRI在该结构中精确识别神经活动变化的能力仍然是一项重大挑战。目前的fMRI/MRI方法通常无法以小于1毫米的分辨率对海马体及其周围皮质进行成像。在此,我们对之前获取海马体结构磁共振图像的方法进行了改进,该方法提供了0.4毫米×2毫米的平面分辨率以及插值各向同性分辨率为0.4立方毫米的海马体二维“平面”图。我们对现有的结构成像序列进行了改进,提高了先前扫描的分辨率,能够对CA1的前部、齿状回的部分区域以及CA23进行成像。这些成像改进对成像领域具有普遍意义,因为它们使海马体的整体成像分辨率比以前(在3特斯拉条件下)更高。我们还引入了一种计算插值方法的新应用,提高了我们捕捉海马体复杂三维形状的能力。此外,我们开发了一种定量方法,通过使用矢量场扭曲技术生成平均平面图来获取群体激活模式,从而能够在不同受试者群体中对特定海马体亚区的激活进行定位。总之,这些方法为在认知任务期间改善人类海马体及其周围皮质的神经活动成像提供了一种手段。
The hippocampus is often a difficult structure to visualize with magnetic resonance imaging (MRI) and functional MRI (fMRI) due to its convoluted nature and susceptibility to signal dropout. Improving our ability to pinpoint changes in neural activity using fMRI in this structure remains an important challenge. Current fMRI/MRI methods typically do not permit visualization of the hippocampus and surrounding cortex at a resolution less than one mm. We present here improvements to our previous methods for obtaining structural MR images of the hippocampus, which provided an in-plane resolution of 0.4 mm2 mm and two-dimensional “flat” maps of the hippocampus with an interpolated isotropic resolution of 0.4mm3. We present changes to existing structural imaging sequences that now augment the resolution of previous scans, permitting visualization of the anterior portion of CA1, parts of the dentate gyrus, and CA23. These imaging improvements are of relevance generally to the field of imaging because they permit higher overall resolution imaging of the hippocampus than previously possible (at 3 Tesla). We also introduce a novel application of a computational interpolation method that improves our ability to capture the convoluted three-dimensional shape of the hippocampus. Furthermore, we have developed a quantitative method for obtaining group activation patterns based on producing averaged flat maps using vector field warping techniques, allowing localization of activations to specific hippocampal subregions across groups of subjects. Together, these methods provide a means to improve imaging of neural activity in the human hippocampus and surrounding cortex during cognitive tasks.
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