Evidence map›Paper›PMID 36512321›Full record

ArticleThe European journal of neuroscience2023

Connectome-based predictive modelling of cognitive reserve using task-based functional connectivity.

Rory Boyle, Michael Connaughton, Eimear McGlinchey, Silvin P Knight, Céline De Looze, Daniel Carey, Yaakov Stern, Ian H Robertson, Rose Anne Kenny, Robert Whelan

Open access · hybridAbstract read
In one paragraph

Article in The European journal of neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Brain-phenotype predictions can survive across diverse real-world data.bioRxiv : the preprint server for biology · 2024
    Article
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  13. The effects of data leakage on connectome-based machine learning models.bioRxiv : the preprint server for biology · 2023
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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

10 authors at 3 institutions in 3 countries.

Rory BoyleDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-0787-6892
Michael ConnaughtonTrinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0002-9513-6036
Eimear McGlincheySchool of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0002-8548-220X
Silvin P KnightThe Irish Longitudinal Study on Aging (TILDA), School of Medicine, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0003-1245-4870
Céline De LoozeThe Irish Longitudinal Study on Aging (TILDA), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Daniel CareyThe Irish Longitudinal Study on Aging (TILDA), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Yaakov SternCognitive Neuroscience Division, Department of Neurology, Columbia University, New York City, New York, USA.ORCID 0000-0001-7542-3241
Ian H RobertsonGlobal Brain Health Institute, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0001-8637-561X
Rose Anne KennyThe Irish Longitudinal Study on Aging (TILDA), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Robert WhelanTrinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0002-2790-7281
Trinity College Dublin · IEColumbia University Irving Medical Center · USHarvard University · US

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI STEVEN E ARNOLD · 2019 to 2026
$36.5M
Imaging of Cognition, Learning and Memory in AgingR01AG026158 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2004 to 2021
$10.9M
Exploring Cognitive Aging Using Refernce Ability Neural NetworksRF1AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2016 to 2018
$7.6M
Collaboratory on Research Definitions for Cognitive Reserve and ResilienceR24AG061421 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2018 to 2020
$2.5M
Health Research Board HRB-PHR-2014-667NIA NIH HHS P30 AG062421NIA NIH HHS R01 AG026158NIA NIH HHS R24 AG061421NIA NIH HHS RF1 AG038465NIH HHS 10:GG013391-01
6 · The paper itself

Abstract

Cognitive reserve supports cognitive function in the presence of pathology or atrophy. Functional neuroimaging may enable direct and accurate measurement of cognitive reserve which could have considerable clinical potential. The present study aimed to develop and validate a measure of cognitive reserve using task-based fMRI data that could then be applied to independent resting-state data. Connectome-based predictive modelling with leave-one-out cross-validation was applied to predict a residual measure of cognitive reserve using task-based functional connectivity from the Cognitive Reserve/Reference Ability Neural Network studies (n = 220, mean age = 51.91 years, SD = 17.04 years). This model generated summary measures of connectivity strength that accurately predicted a residual measure of cognitive reserve in unseen participants. The theoretical validity of these measures was established via a positive correlation with a socio-behavioural proxy of cognitive reserve (verbal intelligence) and a positive correlation with global cognition, independent of brain structure. This fitted model was then applied to external test data: resting-state functional connectivity data from The Irish Longitudinal Study on Ageing (TILDA, n = 294, mean age = 68.3 years, SD = 7.18 years). The network-strength predicted measures were not positively associated with a residual measure of cognitive reserve nor with measures of verbal intelligence and global cognition. The present study demonstrated that task-based functional connectivity data can be used to generate theoretically valid measures of cognitive reserve. Further work is needed to establish if, and how, measures of cognitive reserve derived from task-based functional connectivity can be applied to independent resting-state data.

Indexed as

Cognitive ReserveConnectomeAgedBrainHumansLongitudinal StudiesMagnetic Resonance ImagingMiddle AgedNerve Netcognitive reserveconnectome-based predictive modellingfMRIfunctional connectivity

Identifiers

PMID36512321
PMCPMC10107737
OpenAlexW4311287493

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.