Human anterolateral entorhinal cortex volumes are associated with cognitive decline in aging prior to clinical diagnosis

Olsen, Rosanna K.; Yeung, Lok‐Kin; Noly-Gandon, Alix; D'Angelo, Maria C.; Kacollja, Arber; Smith, Victoria M.; Ryan, Jennifer D.; Barense, Morgan D.

doi:10.1016/j.neurobiolaging.2017.04.025

Cited by 91 publications

(117 citation statements)

References 79 publications

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“…This revealed no significant differences (repeated vs recombined: Z ϭ 0.52, p ϭ 0.60; recombined vs novel: Z ϭ 0.79, p ϭ 0.43; repeated vs novel: Z ϭ 1.11, p ϭ 0.26). Consistent with recent findings (Olsen et al, 2016), no region was a significant predictor for the normalized number of fixations to the entire object ( Table 5), indicating that MTL volume differences did not affect eye movement measures of novelty detection.…”

Section: Volumetric Imaging Resultssupporting

confidence: 88%

“…Our intention was to select for a participant group who had a good distribution of cognitive abilities and MTL/hippocampal regional volumes. These participants were a subset of an original sample of 40 participants who were chosen such that 20 had scored above the MoCA cutoff score (Ն26) and 20 had scored below it (Ͻ25) (Olsen, Yeung et al, 2017). Of the 35 participants whose data we report here, 16 scored above the MoCA cutoff score and 19 scored below it.…”

Section: Participantsmentioning

confidence: 99%

“…The ERC was further subdivided into the alERC and the pmERC following the protocol of Maass et al (2015), which was based on functional connectivity with the PRC and PHC, respectively. See Olsen, Yeung et al (2017) for a more extensive description of the alERC/pmERC boundary used in our segmentation protocol. We note that, because we followed the protocol of Insausti et al (1998) to define the lateral edge of the ERC, the resulting lateral boundary of the alERC/ pmERC regions in our protocol differs slightly from that of Maass et al (2015).…”

Section: Manual Segmentationmentioning

confidence: 99%

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Anterolateral Entorhinal Cortex Volume Predicted by Altered Intra-Item Configural Processing

et al. 2017

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Recent functional imaging studies have proposed that the human entorhinal cortex (ERC) is subdivided into functionally distinct anterolateral (alERC) and posteromedial (pmERC) subregions. The alERC overlaps with regions that are affected earliest by Alzheimer's disease pathology, yet its cognitive function remains poorly understood. Previous human fMRI studies have focused on its role in object memory, but rodent studies on the putatively homologous lateral entorhinal cortex suggest that it also plays an important role in representing spatial properties of objects. To investigate the cognitive effects of human alERC volume differences, we developed an eye-tracking-based task to evaluate intra-item configural processing (i.e., processing the arrangement of an object's features) and used manual segmentation based on a recently developed protocol to delineate the alERC/pmERC and other medial temporal lobe (MTL) subregions. In a group of older adult men and women at varying stages of brain atrophy and cognitive decline, we found that intra-item configural processing, regardless of an object's novelty, was strongly predicted by alERC volume, but not by the volume of any other MTL subregion. These results provide the first evidence that the human alERC plays a role in supporting a distinct aspect of object processing, namely attending to the arrangement of an object's component features.

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Section: Volumetric Imaging Resultssupporting

confidence: 88%

Section: Participantsmentioning

confidence: 99%

Section: Manual Segmentationmentioning

confidence: 99%

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Anterolateral Entorhinal Cortex Volume Predicted by Altered Intra-Item Configural Processing

et al. 2017

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“…The spreading of atrophy to adjacent ERC and hippocampus in early prodromal AD also matches the known spreading of NFT pathology (Braak & Braak, 1995, 1991; Ding et al, 2009) and other studies investigating MTL atrophy patterns in the early stages (Killiany et al, 2002; Krumm et al, 2016; Olsen et al, 2017; Stoub, Rogalski, Leurgans, Bennett, & deToledo-Morrell, 2010; Xu et al, 2000; Yushkevich, Pluta, et al, 2015). The volume loss in posterior hippocampus, rather than anterior hippocampus, was surprising, given that pathology starts in BA35, part of the PRC, which is thought to be more strongly connected to the anterior hippocampus, at least in the primate MTL (Aggleton, 2012) [although some inconsistency in the literature exists (Witter, Van Hoesen, & Amaral, 1989)].…”

Section: Discussionsupporting

confidence: 83%

Automated segmentation of medial temporal lobe subregions on in vivo T1‐weighted MRI in early stages of Alzheimer's disease

Xie

Wisse

Pluta

et al. 2019

Human Brain Mapping

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Medial temporal lobe (MTL) substructures are the earliest regions affected by neurofibrillary tangle pathology—and thus are promising biomarkers for Alzheimer’s disease (AD). However, automatic segmentation of the MTL using only T1-weighted (T1w) magnetic resonance imaging (MRI) is challenging due to the large anatomical variability of the MTL cortex and the confound of the dura mater, which is commonly segmented as gray matter by state-of-the-art algorithms because they have similar intensity in T1w MRI. To address these challenges, we developed a novel atlas set, consisting of 15 cognitively normal older adults and 14 patients with mild cognitive impairment with a label explicitly assigned to the dura, that can be used by the multiatlas automated pipeline (Automatic Segmentation of Hippocampal Subfields [ASHS-T1]) for the segmentation of MTL subregions, including anterior/posterior hippocampus, entorhinal cortex (ERC), Brodmann areas (BA) 35 and 36, and parahippocampal cortex on T1w MRI. Cross-validation experiments indicated good segmentation accuracy of ASHS-T1 and that the dura can be reliably separated from the cortex (6.5% mislabeled as gray matter). Conversely, FreeSurfer segmented majority of the dura mater (62.4%) as gray matter and the degree of dura mislabeling decreased with increasing disease severity. To evaluate its clinical utility, we applied the pipeline to T1w images of 663 ADNI subjects and significant volume/thickness loss is observed in BA35, ERC, and posterior hippocampus in early prodromal AD and all subregions at later stages. As such, the publicly available new atlas and ASHS-T1 could have important utility in the early diagnosis and monitoring of AD and enhancing brain-behavior studies of these regions.

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“…With ERC dysfunction, the binding functions of the hippocampus may not be fully realized. But perhaps more relevant for the present discussion, this work provided converging evidence linking specific viewing patterns to the integrity of subregions within the hippocampus/MTL that are among the first to show pathology in Alzheimer's disease, and more generally in linking the memory and oculomotor systems.…”

Section: Agingmentioning

confidence: 72%

The intersection between the oculomotor and hippocampal memory systems: empirical developments and clinical implications

Ryan

Shen

Liu

2019

Annals of the New York Academy of Sciences

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Decades of cognitive neuroscience research has shown that where we look is intimately connected to what we remember. In this article, we review findings from human and nonhuman animals, using behavioral, neuropsychological, neuroimaging, and computational modeling methods, to show that the oculomotor and hippocampal memory systems interact in a reciprocal manner, on a moment‐to‐moment basis, mediated by a vast structural and functional network. Visual exploration serves to efficiently gather information from the environment for the purpose of creating new memories, updating existing memories, and reconstructing the rich, vivid details from memory. Conversely, memory increases the efficiency of visual exploration. We call for models of oculomotor control to consider the influence of the hippocampal memory system on the cognitive control of eye movements, and for models of hippocampal and broader medial temporal lobe function to consider the influence of the oculomotor system on the development and expression of memory. We describe eye movement–based applications for the detection of neurodegeneration and delivery of therapeutic interventions for mental health disorders for which the hippocampus is implicated and memory dysfunctions are at the forefront.

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Human anterolateral entorhinal cortex volumes are associated with cognitive decline in aging prior to clinical diagnosis

Cited by 91 publications

References 79 publications

Anterolateral Entorhinal Cortex Volume Predicted by Altered Intra-Item Configural Processing

Anterolateral Entorhinal Cortex Volume Predicted by Altered Intra-Item Configural Processing

Automated segmentation of medial temporal lobe subregions on in vivo T1‐weighted MRI in early stages of Alzheimer's disease

The intersection between the oculomotor and hippocampal memory systems: empirical developments and clinical implications

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