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Cognitive and neuroimaging markers for preclinical vascular cognitive impairment

Cognitive and neuroimaging markers for preclinical vascular cognitive impairment
Cognitive and neuroimaging markers for preclinical vascular cognitive impairment

Detection of incipient cognitive impairment and dementia pathophysiology is critical to identify preclinical populations and target potentially disease modifying interventions towards them. There are currently concerted efforts for such detection for Alzheimer's disease (AD). By contrast, the examination of cognitive markers and their relationship to biomarkers for Vascular Cognitive Impairment (VCI) is far less established, despite VCI being highly prevalent and often concomitantly presenting with AD. Critically, vascular risk factors are currently associated with the most viable treatment options via pharmacological and non-pharmacological intervention, hence early identification of vascular factors have important implications for modifying dementia disease trajectories. The aim of this review is to examine the current evidence of cognitive marker correlates to VCI pathology. We begin by examining midlife risk factors that predict VCI. Next, discuss preclinical cognitive hallmarks of VCI informed by insights from neuropsychological assessment, network connectivity and ERP/EEG experimental findings. Finally, we discuss limitations of current cognitive assessments and the need for future cognitive test development to inform diagnostic assessment. As well as, intervention outcome measures for preclinical VCI. In turn, these tests will inform earlier detection of vascular changes and allow implementation of disease intervention approaches.

2666-2450
Lowry, Ellen
1dd87aa9-1fb8-4dcc-b242-228e444a69db
Puthusseryppady, Vaisakh
2c245ba1-16d3-4d03-a825-6b1d9b47bf77
Johnen, Ann-Kathrin
7c0b287b-f730-4daa-ad6e-c38b1e5a8f4c
Renoult, Louis
45af9ed8-b999-4943-a92d-fdc4c6a25399
Hornberger, Michael
a48c1c63-422a-4c11-9a51-c7be0aa3026d
Lowry, Ellen
1dd87aa9-1fb8-4dcc-b242-228e444a69db
Puthusseryppady, Vaisakh
2c245ba1-16d3-4d03-a825-6b1d9b47bf77
Johnen, Ann-Kathrin
7c0b287b-f730-4daa-ad6e-c38b1e5a8f4c
Renoult, Louis
45af9ed8-b999-4943-a92d-fdc4c6a25399
Hornberger, Michael
a48c1c63-422a-4c11-9a51-c7be0aa3026d

Lowry, Ellen, Puthusseryppady, Vaisakh, Johnen, Ann-Kathrin, Renoult, Louis and Hornberger, Michael (2021) Cognitive and neuroimaging markers for preclinical vascular cognitive impairment. Cerebral circulation - Cognition and Behavior, 2, [100029]. (doi:10.1016/j.cccb.2021.100029).

Record type: Review

Abstract

Detection of incipient cognitive impairment and dementia pathophysiology is critical to identify preclinical populations and target potentially disease modifying interventions towards them. There are currently concerted efforts for such detection for Alzheimer's disease (AD). By contrast, the examination of cognitive markers and their relationship to biomarkers for Vascular Cognitive Impairment (VCI) is far less established, despite VCI being highly prevalent and often concomitantly presenting with AD. Critically, vascular risk factors are currently associated with the most viable treatment options via pharmacological and non-pharmacological intervention, hence early identification of vascular factors have important implications for modifying dementia disease trajectories. The aim of this review is to examine the current evidence of cognitive marker correlates to VCI pathology. We begin by examining midlife risk factors that predict VCI. Next, discuss preclinical cognitive hallmarks of VCI informed by insights from neuropsychological assessment, network connectivity and ERP/EEG experimental findings. Finally, we discuss limitations of current cognitive assessments and the need for future cognitive test development to inform diagnostic assessment. As well as, intervention outcome measures for preclinical VCI. In turn, these tests will inform earlier detection of vascular changes and allow implementation of disease intervention approaches.

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Accepted/In Press date: 3 October 2021
e-pub ahead of print date: 5 October 2021
Published date: 9 October 2021
Additional Information: © 2021 The Author(s).

Identifiers

Local EPrints ID: 506475
URI: http://eprints.soton.ac.uk/id/eprint/506475
ISSN: 2666-2450
PURE UUID: 4f7fbe84-db7b-40db-bcc4-fb8a19e7647f
ORCID for Michael Hornberger: ORCID iD orcid.org/0000-0002-2214-3788

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Date deposited: 10 Nov 2025 17:32
Last modified: 11 Nov 2025 03:10

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Contributors

Author: Ellen Lowry
Author: Vaisakh Puthusseryppady
Author: Ann-Kathrin Johnen
Author: Louis Renoult
Author: Michael Hornberger ORCID iD

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