Differentiation of mild cognitive impairment using an entorhinal cortex-based test of virtual reality navigation.
Aged
Aged, 80 and over
Alzheimer Disease
/ diagnosis
Amyloid beta-Peptides
/ metabolism
Biomarkers
/ analysis
Cognitive Dysfunction
/ diagnosis
Diagnosis, Differential
Early Diagnosis
Entorhinal Cortex
/ physiopathology
Female
Humans
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Neuropsychological Tests
Sensitivity and Specificity
Virtual Reality
Alzheimer’s disease
entorhinal cortex
mild cognitive impairment
path integration
virtual reality
Journal
Brain : a journal of neurology
ISSN: 1460-2156
Titre abrégé: Brain
Pays: England
ID NLM: 0372537
Informations de publication
Date de publication:
01 06 2019
01 06 2019
Historique:
received:
06
12
2018
revised:
15
02
2019
accepted:
27
02
2019
pubmed:
24
5
2019
medline:
13
3
2020
entrez:
24
5
2019
Statut:
ppublish
Résumé
The entorhinal cortex is one of the first regions to exhibit neurodegeneration in Alzheimer's disease, and as such identification of entorhinal cortex dysfunction may aid detection of the disease in its earliest stages. Extensive evidence demonstrates that the entorhinal cortex is critically implicated in navigation underpinned by the firing of spatially modulated neurons. This study tested the hypothesis that entorhinal-based navigation is impaired in pre-dementia Alzheimer's disease. Forty-five patients with mild cognitive impairment (26 with CSF Alzheimer's disease biomarker data: 12 biomarker-positive and 14 biomarker-negative) and 41 healthy control participants undertook an immersive virtual reality path integration test, as a measure of entorhinal-based navigation. Behavioural performance was correlated with MRI measures of entorhinal cortex volume, and the classification accuracy of the path integration task was compared with a battery of cognitive tests considered sensitive and specific for early Alzheimer's disease. Biomarker-positive patients exhibited larger errors in the navigation task than biomarker-negative patients, whose performance did not significantly differ from controls participants. Path-integration performance correlated with Alzheimer's disease molecular pathology, with levels of CSF amyloid-β and total tau contributing independently to distance error. Path integration errors were negatively correlated with the volumes of the total entorhinal cortex and of its posteromedial subdivision. The path integration task demonstrated higher diagnostic sensitivity and specificity for differentiating biomarker positive versus negative patients (area under the curve = 0.90) than was achieved by the best of the cognitive tests (area under the curve = 0.57). This study demonstrates that an entorhinal cortex-based virtual reality navigation task can differentiate patients with mild cognitive impairment at low and high risk of developing dementia, with classification accuracy superior to reference cognitive tests considered to be highly sensitive to early Alzheimer's disease. This study provides evidence that navigation tasks may aid early diagnosis of Alzheimer's disease, and the basis of this in animal cellular and behavioural studies provides the opportunity to answer the unmet need for translatable outcome measures for comparing treatment effect across preclinical and clinical trial phases of future anti-Alzheimer's drugs.
Identifiants
pubmed: 31121601
pii: 5497752
doi: 10.1093/brain/awz116
pmc: PMC6536917
doi:
Substances chimiques
Amyloid beta-Peptides
0
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1751-1766Subventions
Organisme : Wellcome Trust
ID : 202805/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00005/8
Pays : United Kingdom
Organisme : Medical Research Council
ID : SUAG/010 RG91365
Pays : United Kingdom
Commentaires et corrections
Type : CommentIn
Informations de copyright
© The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain.
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