Multi-voxel pattern analysis in human hippocampal subfields.

Multi-voxel pattern analysis in human hippocampal subfields.
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人类海马子场中的多素模式分析。

DOI:
10.3389/fnhum.2012.00290
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发表时间:
2012
影响因子:
2.9
通讯作者:
Maguire EA
Maguire EA
中科院分区:
医学3区
文献类型:
--
作者:
Bonnici HM;Chadwick MJ;Kumaran D;Hassabis D;Weiskopf N;Maguire EA

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对海马体的完整理解取决于阐明其解剖学上不同的子区域中存在的表示和计算。高分辨率结构和功能 MRI 扫描开始允许深入了解人类海马亚区。同时,这种扫描促进了多体素模式分析(MVPA)的使用来检查跨体素的分布式活动模式中存在的信息。本研究的目的是将这两项相对较新的创新结合起来,并将 MVPA 部署在海马子区域。描绘人类海马体的子区域是我们研究的先决条件,仍然是一个重大挑战,现有的方法通常只能检查海马体的一部分,或者无法区分 CA3 和齿状回 (DG)。因此,我们设计了一种新的高分辨率解剖扫描和子场分割协议,使我们能够克服这些问题,并使用标准 3T MRI 扫描仪分别识别整个海马体的 CA1、CA3、DG 和下托 (SUB)。然后,我们使用 MVPA 来检查与决策范例相关的功能磁共振成像数据,该决策范例涉及高度相似的场景,这些场景与海马子区域中发生的计算相关。使用我们的程序进行子领域识别的内部和评估者间评分证实了其可靠性。此外,我们发现使用 MVPA 可以解码海马子区域内的信息,研究结果包括 CA3 和 DG 的差异效应。我们认为人类海马子区域的 MVPA 可能会开辟新的机会来研究不同类型的信息如何在这个基本层面上表示和处理。
A complete understanding of the hippocampus depends on elucidating the representations and computations that exist in its anatomically distinct subfields. High-resolution structural and functional MRI scanning is starting to permit insights into hippocampal subfields in humans. In parallel, such scanning has facilitated the use of multi-voxel pattern analysis (MVPA) to examine information present in the distributed pattern of activity across voxels. The aim of this study was to combine these two relatively new innovations and deploy MVPA in the hippocampal subfields. Delineating subregions of the human hippocampus, a prerequisite for our study, remains a significant challenge, with extant methods often only examining part of the hippocampus, or being unable to differentiate CA3 and dentate gyrus (DG). We therefore devised a new high-resolution anatomical scanning and subfield segmentation protocol that allowed us to overcome these issues, and separately identify CA1, CA3, DG, and subiculum (SUB) across the whole hippocampus using a standard 3T MRI scanner. We then used MVPA to examine fMRI data associated with a decision-making paradigm involving highly similar scenes that had relevance for the computations that occur in hippocampal subfields. Intra- and inter-rater scores for subfield identification using our procedure confirmed its reliability. Moreover, we found that decoding of information within hippocampal subfields was possible using MVPA, with findings that included differential effects for CA3 and DG. We suggest that MVPA in human hippocampal subfields may open up new opportunities to examine how different types of information are represented and processed at this fundamental level.
DOI: 10.1016/j.neuron.2009.11.031
发表时间: 2010-01-14
期刊: NEURON
影响因子: 16.2
作者:
Fanselow, Michael S.;Dong, Hong-Wei
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发表时间: 2012-11
期刊: Neuropsychologia
影响因子: 2.6
作者:
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发表时间: 2011-08-01
期刊: LEARNING & MEMORY
影响因子: 2
作者:
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发表时间: 2010-03-23
期刊: Current biology : CB
影响因子: --
作者:
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通讯作者: Maguire EA
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发表时间: 2010-02-11
期刊: NEURON
影响因子: 16.2
作者:
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通讯作者: Wagner, Anthony D.