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Path integration selectively predicts midlife risk of Alzheimer’s disease

View ORCID ProfileCoco Newton, Marianna Pope, Catarina Rua, Richard Henson, Zilong Ji, Neil Burgess, Christopher T. Rodgers, Matthias Stangl, Maria-Eleni Dounavi, Andrea Castegnaro, Ivan Koychev, Paresh Malhotra, Thomas Wolbers, Karen Ritchie, Craig W. Ritchie, John O’Brien, Li Su, Dennis Chan, PREVENT Dementia Research Programme
doi: https://doi.org/10.1101/2023.01.31.526473
Coco Newton
1Department of Psychiatry, University of Cambridge; Cambridge, UK
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  • ORCID record for Coco Newton
Marianna Pope
1Department of Psychiatry, University of Cambridge; Cambridge, UK
2Cambridgeshire and Peterborough NHS Foundation Trust; Cambridge, UK
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Catarina Rua
3Wolfson Brain Imaging Centre, University of Cambridge; Cambridge, UK
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Richard Henson
1Department of Psychiatry, University of Cambridge; Cambridge, UK
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Zilong Ji
4Institute of Cognitive Neuroscience, UCL; London, UK
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Neil Burgess
4Institute of Cognitive Neuroscience, UCL; London, UK
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Christopher T. Rodgers
3Wolfson Brain Imaging Centre, University of Cambridge; Cambridge, UK
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Matthias Stangl
5Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California; Los Angeles, USA
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Maria-Eleni Dounavi
1Department of Psychiatry, University of Cambridge; Cambridge, UK
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Andrea Castegnaro
4Institute of Cognitive Neuroscience, UCL; London, UK
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Ivan Koychev
6Department of Psychiatry, Oxford University; Oxford, UK
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Paresh Malhotra
7Department of Brain Sciences, Imperial College London; London, UK
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Thomas Wolbers
8German Centre for Neurodegenerative Diseases (DZNE); Magdeburg, Germany
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Karen Ritchie
9Inserm, Institut de Neurosciences; Montpellier, France
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Craig W. Ritchie
10Centre for Dementia Prevention, University of Edinburgh; Edinburgh, UK
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John O’Brien
1Department of Psychiatry, University of Cambridge; Cambridge, UK
2Cambridgeshire and Peterborough NHS Foundation Trust; Cambridge, UK
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Li Su
1Department of Psychiatry, University of Cambridge; Cambridge, UK
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Dennis Chan
4Institute of Cognitive Neuroscience, UCL; London, UK
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  • For correspondence: [email protected]
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Abstract

The entorhinal cortex (EC) is the first cortical region to exhibit neurodegeneration in Alzheimer’s disease (AD), associated with EC grid cell dysfunction. Given the role of grid cells in path integration, we predicted that path integration impairment would represent the first behavioural change in adults at-risk of AD. Using immersive virtual reality, we found that midlife path integration impairments predicted both hereditary and physiological AD risk, with no corresponding impairment on tests of episodic memory or other spatial behaviours.

Impairments related to poorer angular estimation and were associated with hexadirectional grid-like fMRI signal in the posterior-medial EC. These results indicate that altered path integration may represent the transition point from at-risk state to disease onset in AD, prior to impairment in other cognitive domains.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 03, 2023.
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Path integration selectively predicts midlife risk of Alzheimer’s disease
Coco Newton, Marianna Pope, Catarina Rua, Richard Henson, Zilong Ji, Neil Burgess, Christopher T. Rodgers, Matthias Stangl, Maria-Eleni Dounavi, Andrea Castegnaro, Ivan Koychev, Paresh Malhotra, Thomas Wolbers, Karen Ritchie, Craig W. Ritchie, John O’Brien, Li Su, Dennis Chan, PREVENT Dementia Research Programme
bioRxiv 2023.01.31.526473; doi: https://doi.org/10.1101/2023.01.31.526473
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Path integration selectively predicts midlife risk of Alzheimer’s disease
Coco Newton, Marianna Pope, Catarina Rua, Richard Henson, Zilong Ji, Neil Burgess, Christopher T. Rodgers, Matthias Stangl, Maria-Eleni Dounavi, Andrea Castegnaro, Ivan Koychev, Paresh Malhotra, Thomas Wolbers, Karen Ritchie, Craig W. Ritchie, John O’Brien, Li Su, Dennis Chan, PREVENT Dementia Research Programme
bioRxiv 2023.01.31.526473; doi: https://doi.org/10.1101/2023.01.31.526473

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