Literature DB >> 29673867

Structural Differences in Hippocampal and Entorhinal Gray Matter Volume Support Individual Differences in First Person Navigational Ability.

Katherine R Sherrill1, Elizabeth R Chrastil1, Irem Aselcioglu2, Michael E Hasselmo2, Chantal E Stern3.   

Abstract

The ability to update position and orientation to reach a goal is crucial to spatial navigation and individuals vary considerably in this ability. The current structural MRI study used voxel-based morphometry (VBM) analysis to relate individual differences in human brain morphology to performance in an active navigation task that relied on updating position and orientation in a landmark-free environment. Goal-directed navigation took place from either a first person perspective, similar to a person walking through the landmark-free environment, or Survey perspective, a bird's eye view. Critically, the first person perspective required a transformation of spatial information from an allocentric into an egocentric reference frame for goal-directed navigation. Significant structural volume correlations in the hippocampus, entorhinal cortex, and thalamus were related to first person navigational accuracy. Our results support the theory that hippocampus, entorhinal cortex, and thalamus are key structures for updating position and orientation during ground-level navigation. Furthermore, the results suggest that morphological differences in these regions underlie individual navigational abilities, providing an important link between animal models of navigation and the variability in human navigation.
Copyright © 2018 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  MRI; VBM; human; navigation; structural; thalamus

Mesh:

Year:  2018        PMID: 29673867     DOI: 10.1016/j.neuroscience.2018.04.006

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  10 in total

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Journal:  Cortex       Date:  2019-02-07       Impact factor: 4.027

2.  Human Variation in Error-Based and Reinforcement Motor Learning Is Associated With Entorhinal Volume.

Authors:  Anouk J de Brouwer; Corson N Areshenkoff; Mohammad R Rashid; J Randall Flanagan; Jordan Poppenk; Jason P Gallivan
Journal:  Cereb Cortex       Date:  2022-08-03       Impact factor: 4.861

3.  Heterogeneous correlations between hippocampus volume and cognitive map accuracy among healthy young adults.

Authors:  Qiliang He; Thackery I Brown
Journal:  Cortex       Date:  2019-12-10       Impact factor: 4.027

4.  Regional cerebral cholinergic nerve terminal integrity and cardinal motor features in Parkinson's disease.

Authors:  Nicolaas I Bohnen; Prabesh Kanel; Robert A Koeppe; Carlos A Sanchez-Catasus; Kirk A Frey; Peter Scott; Gregory M Constantine; Roger L Albin; Martijn L T M Müller
Journal:  Brain Commun       Date:  2021-05-22

5.  Lenticular nucleus volume predicts performance in real-time strategy game: cross-sectional and training approach using voxel-based morphometry.

Authors:  Natalia Kowalczyk-Grębska; Maciek Skorko; Paweł Dobrowolski; Bartosz Kossowski; Monika Myśliwiec; Nikodem Hryniewicz; Maciej Gaca; Artur Marchewka; Małgorzata Kossut; Aneta Brzezicka
Journal:  Ann N Y Acad Sci       Date:  2020-12-29       Impact factor: 5.691

Review 6.  Hippocampal volume and navigational ability: The map(ping) is not to scale.

Authors:  Steven M Weisberg; Arne D Ekstrom
Journal:  Neurosci Biobehav Rev       Date:  2021-03-17       Impact factor: 9.052

7.  Cognitive mapping style relates to posterior-anterior hippocampal volume ratio.

Authors:  Iva K Brunec; Jessica Robin; Eva Zita Patai; Jason D Ozubko; Amir-Homayoun Javadi; Morgan D Barense; Hugo J Spiers; Morris Moscovitch
Journal:  Hippocampus       Date:  2019-02-03       Impact factor: 3.899

8.  The role of the fornix in human navigational learning.

Authors:  Carl J Hodgetts; Martina Stefani; Angharad N Williams; Branden S Kolarik; Andrew P Yonelinas; Arne D Ekstrom; Andrew D Lawrence; Jiaxiang Zhang; Kim S Graham
Journal:  Cortex       Date:  2019-11-26       Impact factor: 4.027

9.  Resting State Connectivity Between Medial Temporal Lobe Regions and Intrinsic Cortical Networks Predicts Performance in a Path Integration Task.

Authors:  Sarah C Izen; Elizabeth R Chrastil; Chantal E Stern
Journal:  Front Hum Neurosci       Date:  2018-10-16       Impact factor: 3.169

10.  Neural Networks Mediating Perceptual Learning in Congenital Blindness.

Authors:  Daniel-Robert Chebat; Fabien C Schneider; Maurice Ptito
Journal:  Sci Rep       Date:  2020-01-16       Impact factor: 4.379

  10 in total

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