Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort

Martina Del Giovane; Valentina Giunchiglia; Ziyuan Cai; Marguerite Leoni; Rebecca Street; Kirsty Lu; Andrew Wong; Maria Popham; Jennifer M Nicholas; William Trender; Peter J Hellyer; Thomas D Parker; Heidi Murray-Smith; David M Cash; Josephine Barnes; Carole H Sudre; Paresh A Malhotra; Sebastian J Crutch; Marcus Richards; Adam Hampshire; Jonathan M Schott

doi:10.1002/alz.14572

Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort

Martina Del Giovane, Valentina Giunchiglia, Ziyuan Cai, Marguerite Leoni, Rebecca Street, Kirsty Lu, Andrew Wong, Maria Popham, Jennifer M Nicholas, William Trender, Peter J Hellyer, Thomas D Parker, Heidi Murray-Smith, David M Cash, Josephine Barnes, Carole H Sudre, Paresh A Malhotra, Sebastian J Crutch, Marcus Richards, Adam HampshireJonathan M Schott

Research output: Contribution to journal › Article › peer-review

Abstract

BACKGROUND: Alzheimer's disease-related biomarkers detect pathology years before symptoms emerge, when disease-modifying therapies might be most beneficial. Remote cognitive testing provides a means of assessing early cognitive changes. We explored the relationship between neurodegenerative biomarkers and cognition in cognitively normal individuals. METHODS: We remotely deployed 13 computerized Cognitron tasks in 255 Insight 46 participants. We generated amyloid load and positivity, white matter hyperintensity volume (WMHV), whole brain and hippocampal volumes at age 73, plus rates of change over 2 years. We examined the relationship between Cognitron, biomarkers, and standard neuropsychological tests. RESULTS: Slower response time on a delayed recognition task predicted amyloid positivity (odds ratio [OR] = 1.79, confidence interval [CI]: 1.15, 2.95), and WMHV (1.23, CI: 1.00, 1.56). Brain and hippocampal atrophy rates correlated with poorer visuospatial performance (b = -0.42, CI: -0.80, -0.05) and accuracy on immediate recognition (b = -0.01, CI: -0.012, -0.001), respectively. Standard tests correlated with Cognitron composites (rho = 0.50, p < 0.001). DISCUSSION: Remote computerized testing correlates with standard supervised assessments and holds potential for studying early cognitive changes associated with neurodegeneration. HIGHLIGHTS: 70% of the Online 46 cohort performed a set of remote online cognitive tasks. Response time and accuracy on a memory task predicted amyloid status and load (SUVR). Accuracy on memory and spatial span tasks correlated with longitudinal atrophy rate. The Cognitron tasks correlated with standard supervised cognitive tests. Online cognitive testing can help identify early AD-related memory deficits.

Original language	English
Pages (from-to)	e14572
Journal	Alzheimer's & Dementia
Volume	21
Issue number	2
DOIs	https://doi.org/10.1002/alz.14572
Publication status	Published - 12 Feb 2025

Keywords

Humans
Male
Female
Aged
Neuropsychological Tests/statistics & numerical data
Biomarkers
Alzheimer Disease/diagnosis
Brain/pathology
Cohort Studies
Magnetic Resonance Imaging
Cognition/physiology
Hippocampus/pathology
White Matter/pathology
Atrophy/pathology
Amyloid beta-Peptides

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10.1002/alz.14572

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Giovane, M. D., Giunchiglia, V., Cai, Z., Leoni, M., Street, R., Lu, K., Wong, A., Popham, M., Nicholas, J. M., Trender, W., Hellyer, P. J., Parker, T. D., Murray-Smith, H., Cash, D. M., Barnes, J., Sudre, C. H., Malhotra, P. A., Crutch, S. J., Richards, M., ... Schott, J. M. (2025). Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort. Alzheimer's & Dementia, 21(2), e14572. https://doi.org/10.1002/alz.14572

@article{6d428e6998804ebc93e6a01b2a395c0d,

title = "Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort",

abstract = "BACKGROUND: Alzheimer's disease-related biomarkers detect pathology years before symptoms emerge, when disease-modifying therapies might be most beneficial. Remote cognitive testing provides a means of assessing early cognitive changes. We explored the relationship between neurodegenerative biomarkers and cognition in cognitively normal individuals. METHODS: We remotely deployed 13 computerized Cognitron tasks in 255 Insight 46 participants. We generated amyloid load and positivity, white matter hyperintensity volume (WMHV), whole brain and hippocampal volumes at age 73, plus rates of change over 2 years. We examined the relationship between Cognitron, biomarkers, and standard neuropsychological tests. RESULTS: Slower response time on a delayed recognition task predicted amyloid positivity (odds ratio [OR] = 1.79, confidence interval [CI]: 1.15, 2.95), and WMHV (1.23, CI: 1.00, 1.56). Brain and hippocampal atrophy rates correlated with poorer visuospatial performance (b = -0.42, CI: -0.80, -0.05) and accuracy on immediate recognition (b = -0.01, CI: -0.012, -0.001), respectively. Standard tests correlated with Cognitron composites (rho = 0.50, p < 0.001). DISCUSSION: Remote computerized testing correlates with standard supervised assessments and holds potential for studying early cognitive changes associated with neurodegeneration. HIGHLIGHTS: 70% of the Online 46 cohort performed a set of remote online cognitive tasks. Response time and accuracy on a memory task predicted amyloid status and load (SUVR). Accuracy on memory and spatial span tasks correlated with longitudinal atrophy rate. The Cognitron tasks correlated with standard supervised cognitive tests. Online cognitive testing can help identify early AD-related memory deficits.",

keywords = "Humans, Male, Female, Aged, Neuropsychological Tests/statistics & numerical data, Biomarkers, Alzheimer Disease/diagnosis, Brain/pathology, Cohort Studies, Magnetic Resonance Imaging, Cognition/physiology, Hippocampus/pathology, White Matter/pathology, Atrophy/pathology, Amyloid beta-Peptides",

author = "Giovane, {Martina Del} and Valentina Giunchiglia and Ziyuan Cai and Marguerite Leoni and Rebecca Street and Kirsty Lu and Andrew Wong and Maria Popham and Nicholas, {Jennifer M} and William Trender and Hellyer, {Peter J} and Parker, {Thomas D} and Heidi Murray-Smith and Cash, {David M} and Josephine Barnes and Sudre, {Carole H} and Malhotra, {Paresh A} and Crutch, {Sebastian J} and Marcus Richards and Adam Hampshire and Schott, {Jonathan M}",

note = "Publisher Copyright: {\textcopyright} 2025 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.",

year = "2025",

month = feb,

day = "12",

doi = "10.1002/alz.14572",

language = "English",

volume = "21",

pages = "e14572",

journal = "Alzheimer's & Dementia",

issn = "1552-5260",

number = "2",

}

Giovane, MD, Giunchiglia, V, Cai, Z, Leoni, M, Street, R, Lu, K, Wong, A, Popham, M, Nicholas, JM, Trender, W, Hellyer, PJ, Parker, TD, Murray-Smith, H, Cash, DM, Barnes, J, Sudre, CH, Malhotra, PA, Crutch, SJ, Richards, M, Hampshire, A & Schott, JM 2025, 'Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort', Alzheimer's & Dementia, vol. 21, no. 2, pp. e14572. https://doi.org/10.1002/alz.14572

TY - JOUR

T1 - Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort

AU - Giovane, Martina Del

AU - Giunchiglia, Valentina

AU - Cai, Ziyuan

AU - Leoni, Marguerite

AU - Street, Rebecca

AU - Lu, Kirsty

AU - Wong, Andrew

AU - Popham, Maria

AU - Nicholas, Jennifer M

AU - Trender, William

AU - Hellyer, Peter J

AU - Parker, Thomas D

AU - Murray-Smith, Heidi

AU - Cash, David M

AU - Barnes, Josephine

AU - Sudre, Carole H

AU - Malhotra, Paresh A

AU - Crutch, Sebastian J

AU - Richards, Marcus

AU - Hampshire, Adam

AU - Schott, Jonathan M

PY - 2025/2/12

Y1 - 2025/2/12

N2 - BACKGROUND: Alzheimer's disease-related biomarkers detect pathology years before symptoms emerge, when disease-modifying therapies might be most beneficial. Remote cognitive testing provides a means of assessing early cognitive changes. We explored the relationship between neurodegenerative biomarkers and cognition in cognitively normal individuals. METHODS: We remotely deployed 13 computerized Cognitron tasks in 255 Insight 46 participants. We generated amyloid load and positivity, white matter hyperintensity volume (WMHV), whole brain and hippocampal volumes at age 73, plus rates of change over 2 years. We examined the relationship between Cognitron, biomarkers, and standard neuropsychological tests. RESULTS: Slower response time on a delayed recognition task predicted amyloid positivity (odds ratio [OR] = 1.79, confidence interval [CI]: 1.15, 2.95), and WMHV (1.23, CI: 1.00, 1.56). Brain and hippocampal atrophy rates correlated with poorer visuospatial performance (b = -0.42, CI: -0.80, -0.05) and accuracy on immediate recognition (b = -0.01, CI: -0.012, -0.001), respectively. Standard tests correlated with Cognitron composites (rho = 0.50, p < 0.001). DISCUSSION: Remote computerized testing correlates with standard supervised assessments and holds potential for studying early cognitive changes associated with neurodegeneration. HIGHLIGHTS: 70% of the Online 46 cohort performed a set of remote online cognitive tasks. Response time and accuracy on a memory task predicted amyloid status and load (SUVR). Accuracy on memory and spatial span tasks correlated with longitudinal atrophy rate. The Cognitron tasks correlated with standard supervised cognitive tests. Online cognitive testing can help identify early AD-related memory deficits.

AB - BACKGROUND: Alzheimer's disease-related biomarkers detect pathology years before symptoms emerge, when disease-modifying therapies might be most beneficial. Remote cognitive testing provides a means of assessing early cognitive changes. We explored the relationship between neurodegenerative biomarkers and cognition in cognitively normal individuals. METHODS: We remotely deployed 13 computerized Cognitron tasks in 255 Insight 46 participants. We generated amyloid load and positivity, white matter hyperintensity volume (WMHV), whole brain and hippocampal volumes at age 73, plus rates of change over 2 years. We examined the relationship between Cognitron, biomarkers, and standard neuropsychological tests. RESULTS: Slower response time on a delayed recognition task predicted amyloid positivity (odds ratio [OR] = 1.79, confidence interval [CI]: 1.15, 2.95), and WMHV (1.23, CI: 1.00, 1.56). Brain and hippocampal atrophy rates correlated with poorer visuospatial performance (b = -0.42, CI: -0.80, -0.05) and accuracy on immediate recognition (b = -0.01, CI: -0.012, -0.001), respectively. Standard tests correlated with Cognitron composites (rho = 0.50, p < 0.001). DISCUSSION: Remote computerized testing correlates with standard supervised assessments and holds potential for studying early cognitive changes associated with neurodegeneration. HIGHLIGHTS: 70% of the Online 46 cohort performed a set of remote online cognitive tasks. Response time and accuracy on a memory task predicted amyloid status and load (SUVR). Accuracy on memory and spatial span tasks correlated with longitudinal atrophy rate. The Cognitron tasks correlated with standard supervised cognitive tests. Online cognitive testing can help identify early AD-related memory deficits.

KW - Humans

KW - Male

KW - Female

KW - Aged

KW - Neuropsychological Tests/statistics & numerical data

KW - Biomarkers

KW - Alzheimer Disease/diagnosis

KW - Brain/pathology

KW - Cohort Studies

KW - Magnetic Resonance Imaging

KW - Cognition/physiology

KW - Hippocampus/pathology

KW - White Matter/pathology

KW - Atrophy/pathology

KW - Amyloid beta-Peptides

UR - http://www.scopus.com/inward/record.url?scp=85218809726&partnerID=8YFLogxK

U2 - 10.1002/alz.14572

DO - 10.1002/alz.14572

M3 - Article

C2 - 39936232

SN - 1552-5260

VL - 21

SP - e14572

JO - Alzheimer's & Dementia

JF - Alzheimer's & Dementia

IS - 2

ER -

Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort

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