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    A Modality-Independent Network Underlies the Retrieval of Large-Scale Spatial Environments in the Human Brain

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    Name:
    HuffmanEkstrom2019_Neuron_NIHM ...
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    Description:
    Final Accepted Manuscript
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    Author
    Huffman, Derek J
    Ekstrom, Arne D
    Affiliation
    Univ Arizona, Psychol Dept
    Issue Date
    2019-11-06
    Keywords
    body-based cues
    fMRI
    hippocampus
    immersive virtual reality
    memory
    network
    parahippocampal cortex
    retrosplenial cortex
    spatial cognition
    
    Metadata
    Show full item record
    Publisher
    CELL PRESS
    Citation
    Huffman, D. J., & Ekstrom, A. D. (2019). A Modality-Independent Network Underlies the Retrieval of Large-Scale Spatial Environments in the Human Brain. Neuron, 104(3), 611-622.
    Journal
    NEURON
    Rights
    © 2019 Elsevier Inc.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    In humans, the extent to which body-based cues, such as vestibular, somatosensory, and motoric cues, are necessary for normal expression of spatial representations remains unclear. Recent breakthroughs in immersive virtual reality technology allowed us to test how body-based cues influence spatial representations of large-scale environments in humans. Specifically, we manipulated the availability of body-based cues during navigation using an omnidirectional treadmill and a head-mounted display, investigating brain differences in levels of activation (i.e., univariate analysis), patterns of activity (i.e., multivariate pattern analysis), and putative network interactions between spatial retrieval tasks using fMRI. Our behavioral and neuroimaging results support the idea that there is a core, modality-independent network supporting spatial memory retrieval in the human brain. Thus, for well-learned spatial environments, at least in humans, primarily visual input may be sufficient for expression of complex representations of spatial environments.
    Note
    12 month embargo; published online: 6 November 2019
    ISSN
    0896-6273
    PubMed ID
    31540825
    DOI
    10.1016/j.neuron.2019.08.012
    Version
    Final accepted manuscript
    Sponsors
    National Science Foundation (Behavioral and Cognitive Sciences Division grant)National Science Foundation (NSF) [160296]; National Institutes of Health (National Institute of Neurological Disorders and Stroke grant) [R01NS076856]; National Institutes of Health (National Institute of Mental Health grant) [F32MH116577]
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.neuron.2019.08.012
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