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Population-level Spatial Navigation Ability to Detect and Predict Alzheimer’s Disease

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Population-level Spatial Navigation Ability to Detect and Predict Alzheimer’s Disease. / Spiers, Hugo; Manley, Ed; Silva, Ricardo; Dalton, Ruth; Wiener, Jan; Hoelscher, Christoph; Bohbot, Veronique; Hornberger, Michael.

In: Alzheimer's and Dementia, Vol. 13, No. 7 (Suppl.), 01.07.2017, p. 1404.

Research output: Contribution to journalMeeting abstractpeer-review

Harvard

Spiers, H, Manley, E, Silva, R, Dalton, R, Wiener, J, Hoelscher, C, Bohbot, V & Hornberger, M 2017, 'Population-level Spatial Navigation Ability to Detect and Predict Alzheimer’s Disease', Alzheimer's and Dementia, vol. 13, no. 7 (Suppl.), pp. 1404. https://doi.org/10.1016/j.jalz.2017.06.2169

APA

Spiers, H., Manley, E., Silva, R., Dalton, R., Wiener, J., Hoelscher, C., Bohbot, V., & Hornberger, M. (2017). Population-level Spatial Navigation Ability to Detect and Predict Alzheimer’s Disease. Alzheimer's and Dementia, 13(7 (Suppl.)), 1404. https://doi.org/10.1016/j.jalz.2017.06.2169

Vancouver

Spiers H, Manley E, Silva R, Dalton R, Wiener J, Hoelscher C et al. Population-level Spatial Navigation Ability to Detect and Predict Alzheimer’s Disease. Alzheimer's and Dementia. 2017 Jul 1;13(7 (Suppl.)):1404. https://doi.org/10.1016/j.jalz.2017.06.2169

Author

Spiers, Hugo ; Manley, Ed ; Silva, Ricardo ; Dalton, Ruth ; Wiener, Jan ; Hoelscher, Christoph ; Bohbot, Veronique ; Hornberger, Michael. / Population-level Spatial Navigation Ability to Detect and Predict Alzheimer’s Disease. In: Alzheimer's and Dementia. 2017 ; Vol. 13, No. 7 (Suppl.). pp. 1404.

Bibtex

@article{dce807ce1fc545ea8a1c6a87d3f13d50,
title = "Population-level Spatial Navigation Ability to Detect and Predict Alzheimer{\textquoteright}s Disease",
abstract = "Background Spatial disorientation is one of the most common symptoms in Alzheimer's disease. However, detection of such symptoms is difficult as there are currently no global benchmarks of what constitutes healthy navigation behaviour on a mass population level. Methods To address this we worked with a global telecommunications company (Deutsche Telekom) and a game development company (Glitchers) to develop the mobile video game “Sea Hero Quest”, that tests spatial orientation on a mass population. Three different spatial tasks are examined in the game: way-finding, path integration and spatial working memory. The game to date has collected data in more than 2.7 million people worldwide, across an age range of 19-95, in 193 countries. Results Preliminary findings for the path integration levels of the game, which are targeted more towards egocentric navigation strategies.",
author = "Hugo Spiers and Ed Manley and Ricardo Silva and Ruth Dalton and Jan Wiener and Christoph Hoelscher and Veronique Bohbot and Michael Hornberger",
year = "2017",
month = jul,
day = "1",
doi = "10.1016/j.jalz.2017.06.2169",
language = "English",
volume = "13",
pages = "1404",
journal = "Alzheimer's and Dementia",
issn = "1552-5260",
publisher = "Elsevier Inc.",
number = "7 (Suppl.)",

}

RIS

TY - JOUR

T1 - Population-level Spatial Navigation Ability to Detect and Predict Alzheimer’s Disease

AU - Spiers, Hugo

AU - Manley, Ed

AU - Silva, Ricardo

AU - Dalton, Ruth

AU - Wiener, Jan

AU - Hoelscher, Christoph

AU - Bohbot, Veronique

AU - Hornberger, Michael

PY - 2017/7/1

Y1 - 2017/7/1

N2 - Background Spatial disorientation is one of the most common symptoms in Alzheimer's disease. However, detection of such symptoms is difficult as there are currently no global benchmarks of what constitutes healthy navigation behaviour on a mass population level. Methods To address this we worked with a global telecommunications company (Deutsche Telekom) and a game development company (Glitchers) to develop the mobile video game “Sea Hero Quest”, that tests spatial orientation on a mass population. Three different spatial tasks are examined in the game: way-finding, path integration and spatial working memory. The game to date has collected data in more than 2.7 million people worldwide, across an age range of 19-95, in 193 countries. Results Preliminary findings for the path integration levels of the game, which are targeted more towards egocentric navigation strategies.

AB - Background Spatial disorientation is one of the most common symptoms in Alzheimer's disease. However, detection of such symptoms is difficult as there are currently no global benchmarks of what constitutes healthy navigation behaviour on a mass population level. Methods To address this we worked with a global telecommunications company (Deutsche Telekom) and a game development company (Glitchers) to develop the mobile video game “Sea Hero Quest”, that tests spatial orientation on a mass population. Three different spatial tasks are examined in the game: way-finding, path integration and spatial working memory. The game to date has collected data in more than 2.7 million people worldwide, across an age range of 19-95, in 193 countries. Results Preliminary findings for the path integration levels of the game, which are targeted more towards egocentric navigation strategies.

U2 - 10.1016/j.jalz.2017.06.2169

DO - 10.1016/j.jalz.2017.06.2169

M3 - Meeting abstract

VL - 13

SP - 1404

JO - Alzheimer's and Dementia

JF - Alzheimer's and Dementia

SN - 1552-5260

IS - 7 (Suppl.)

ER -