Evidence map›Paper›PMID 36351888›Full record

ReviewTranslational psychiatry2022

Developments in scalable strategies for detecting early markers of cognitive decline.

Robert Whelan, Florentine M Barbey, Marcia R Cominetti, Claire M Gillan, Anna M Rosická

Open access · goldAbstract readReview
In one paragraph

Review in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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  20. Perspectives of Australian healthcare professionals towards gamification in practice.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 3 countries.

Robert WhelanSchool of Psychology, Trinity College Dublin, Dublin, Ireland. Robert.whelan@tcd.ie.ORCID 0000-0002-2790-7281
Florentine M BarbeySchool of Psychology, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0003-1162-0195
Marcia R CominettiGlobal Brain Health Institute, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0001-6385-7392
Claire M GillanSchool of Psychology, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0001-9065-403X
Anna M RosickáSchool of Psychology, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0001-9857-8705
Trinity College Dublin · IEUniversidade Federal de São Carlos · BR

Funding

Science Foundation Ireland 19/FFP/6418Science Foundation Ireland 20/FFP-P/861
6 · The paper itself

Abstract

Effective strategies for early detection of cognitive decline, if deployed on a large scale, would have individual and societal benefits. However, current detection methods are invasive or time-consuming and therefore not suitable for longitudinal monitoring of asymptomatic individuals. For example, biological markers of neuropathology associated with cognitive decline are typically collected via cerebral spinal fluid, cognitive functioning is evaluated from face-to-face assessments by experts and brain measures are obtained using expensive, non-portable equipment. Here, we describe scalable, repeatable, relatively non-invasive and comparatively inexpensive strategies for detecting the earliest markers of cognitive decline. These approaches are characterized by simple data collection protocols conducted in locations outside the laboratory: measurements are collected passively, by the participants themselves or by non-experts. The analysis of these data is, in contrast, often performed in a centralized location using sophisticated techniques. Recent developments allow neuropathology associated with potential cognitive decline to be accurately detected from peripheral blood samples. Advances in smartphone technology facilitate unobtrusive passive measurements of speech, fine motor movement and gait, that can be used to predict cognitive decline. Specific cognitive processes can be assayed using 'gamified' versions of standard laboratory cognitive tasks, which keep users engaged across multiple test sessions. High quality brain data can be regularly obtained, collected at-home by users themselves, using portable electroencephalography. Although these methods have great potential for addressing an important health challenge, there are barriers to be overcome. Technical obstacles include the need for standardization and interoperability across hardware and software. Societal challenges involve ensuring equity in access to new technologies, the cost of implementation and of any follow-up care, plus ethical issues.

Indexed as

Cognitive DysfunctionBiomarkersBrainCognitionElectroencephalographyHumansBiomarkers

Identifiers

PMID36351888
PMCPMC9645320
OpenAlexW4308735516

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.