License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.89
URN: urn:nbn:de:0030-drops-189847
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18984/
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Yuan, May ; Kennedy, Kristen

Geography and the Brain’s Spatial System (Short Paper)

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LIPIcs-GIScience-2023-89.pdf (2 MB)

Abstract

Extensive research in spatial cognition and mobility has advanced our knowledge about the effects of geographic settings on human behaviors. This study, however, takes an alternative perspective to examine how the brain’s spatial system may mediate the geographic effects on spatial behaviors. Our previous research using data from OpenStreetMap, SafeGraph POIs, and human participants from the National Alzheimer’s Coordinating Center (NACC) resulted in a model with 83.33% prediction accuracy from geographic settings to the zonal categorization of the cognitive state based on NACC participants. A follow-up study showed that the complexity of a geographic setting has a direct effect on cortical thickness in the brain’s spatial cell system. In this study, we leverage findings from the two studies and interrogate the geographic settings to discern environmental correlates to zonal cognitive categorization. We conclude with thoughts on the implications of brain-inspired GIScience.

BibTeX - Entry

@InProceedings{yuan_et_al:LIPIcs.GIScience.2023.89,
  author =	{Yuan, May and Kennedy, Kristen},
  title =	{{Geography and the Brain’s Spatial System}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{89:1--89:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18984},
  URN =		{urn:nbn:de:0030-drops-189847},
  doi =		{10.4230/LIPIcs.GIScience.2023.89},
  annote =	{Keywords: Brain, geographic complexity, mild cognitive impairment, Alzheimer’s Disease}
}

Keywords: Brain, geographic complexity, mild cognitive impairment, Alzheimer’s Disease
Collection: 12th International Conference on Geographic Information Science (GIScience 2023)
Issue Date: 2023
Date of publication: 07.09.2023

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