Berron David, Schütze Hartmut, Maass Anne, Cardenas-Blanco Arturo, Kuijf Hugo J, Kumaran Dharshan, Düzel Emrah
Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, 39120 Magdeburg, Germany, German Center for Neurodegenerative Diseases, Site Magdeburg, 39120 Magdeburg, Germany,
Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, 39120 Magdeburg, Germany.
J Neurosci. 2016 Jul 20;36(29):7569-79. doi: 10.1523/JNEUROSCI.0518-16.2016.
The hippocampus is proposed to be critical in distinguishing between similar experiences by performing pattern separation computations that create orthogonalized representations for related episodes. Previous neuroimaging studies have provided indirect evidence that the dentate gyrus (DG) and CA3 hippocampal subregions support pattern separation by inferring the nature of underlying representations from the observation of novelty signals. Here, we use ultra-high-resolution fMRI at 7 T and multivariate pattern analysis to provide compelling evidence that the DG subregion specifically sustains representations of similar scenes that are less overlapping than in other hippocampal (e.g., CA3) and medial temporal lobe regions (e.g., entorhinal cortex). Further, we provide evidence that novelty signals within the DG are stimulus specific rather than generic in nature. Our study, in providing a mechanistic link between novelty signals and the underlying representations, constitutes the first demonstration that the human DG performs pattern separation.
A fundamental property of an episodic memory system is the ability to minimize interference between similar episodes. The dentate gyrus (DG) subregion of the hippocampus is widely viewed to realize this function through a computation referred to as pattern separation, which creates distinct nonoverlapping neural codes for individual events. Here, we leveraged 7 T fMRI to test the hypothesis that this region supports pattern separation. Our results demonstrate that the DG supports representations of similar scenes that are less overlapping than those in neighboring subregions. The current study therefore is the first to offer compelling evidence that the human DG supports pattern separation by obtaining critical empirical data at the representational level: the level where this computation is defined.
海马体被认为在区分相似经历方面起着关键作用,它通过执行模式分离计算来为相关情节创建正交化表征。先前的神经影像学研究提供了间接证据,表明齿状回(DG)和海马体CA3亚区通过从新奇信号的观察中推断潜在表征的性质来支持模式分离。在此,我们使用7T超高分辨率功能磁共振成像(fMRI)和多变量模式分析来提供令人信服的证据,表明DG亚区特别维持相似场景的表征,这些表征的重叠程度低于其他海马体(如CA3)和内侧颞叶区域(如内嗅皮质)。此外,我们提供证据表明DG内的新奇信号本质上是刺激特异性的,而非一般性的。我们的研究在新奇信号与潜在表征之间建立了机制联系,首次证明了人类DG执行模式分离。
情景记忆系统的一个基本特性是能够最小化相似情节之间的干扰。海马体的齿状回(DG)亚区被广泛认为通过一种称为模式分离的计算来实现这一功能,该计算为单个事件创建独特的、不重叠的神经编码。在此,我们利用7T fMRI来检验这一区域支持模式分离的假设。我们的结果表明,DG支持的相似场景表征的重叠程度低于相邻亚区。因此,当前研究首次提供了令人信服的证据,表明人类DG通过在表征层面(即定义此计算的层面)获取关键的实证数据来支持模式分离。