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Overestimation in angular path integration precedes Alzheimer's dementia

Castegnaro, Andrea; Ji, Zilong; Rudzka, Katarzyna; Chan, Dennis; Burgess, Neil; (2023) Overestimation in angular path integration precedes Alzheimer's dementia. Current Biology 10.1016/j.cub.2023.09.047. (In press). Green open access

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Abstract

Path integration (PI) is impaired early in Alzheimer's disease (AD) but reflects multiple sub-processes that may be differentially sensitive to AD. To characterize these sub-processes, we developed a novel generative linear-angular model of PI (GLAMPI) to fit the inbound paths of healthy elderly participants performing triangle completion, a popular PI task, in immersive virtual reality with real movement. The model fits seven parameters reflecting the encoding, calculation, and production errors associated with inaccuracies in PI. We compared these parameters across younger and older participants and patients with mild cognitive impairment (MCI), including those with (MCI+) and without (MCI-) cerebrospinal fluid biomarkers of AD neuropathology. MCI patients showed overestimation of the angular turn in the outbound path and more variable inbound distances and directions compared with healthy elderly. MCI+ were best distinguished from MCI- patients by overestimation of outbound turns and more variable inbound directions. Our results suggest that overestimation of turning underlies the PI errors seen in patients with early AD, indicating specific neural pathways and diagnostic behaviors for further research.

Type: Article
Title: Overestimation in angular path integration precedes Alzheimer's dementia
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cub.2023.09.047
Publisher version: https://doi.org/10.1016/j.cub.2023.09.047
Language: English
Additional information: © 2023 The Author(s). Published by Elsevier Inc. under a Creative Commons license (http://creativecommons.org/licenses/by/4.0/).
Keywords: cognitive neuroscience, computational modeling, entorhinal cortex, grid cells, mild cognitive impairment, navigation, virtual reality
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Experimental Epilepsy
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10179109
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