Multimodal MRI prediction of cognitive functioning across the lifespan: separating between-person differences from within-person changes.

Kseniia Konopkina, Irina Buianova, Farzane Lal Khakpoor, Sunthud Pornprasertmanit, Micaela Chan, Narun Pat

Abstract read

In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Kseniia KonopkinaDepartment of Psychology, University of Otago, William James Building, 275 Leith Walk, Dunedin, 9016, New Zealand. ksen.kon41@gmail.com.ORCID http://orcid.org/0000-0002-5830-9786

Irina BuianovaDepartment of Psychology, University of Otago, William James Building, 275 Leith Walk, Dunedin, 9016, New Zealand.

Farzane Lal KhakpoorDepartment of Psychology, University of Otago, William James Building, 275 Leith Walk, Dunedin, 9016, New Zealand.

Sunthud PornprasertmanitFaculty of Psychology, Chulalongkorn University, Bangkok, Thailand.

Micaela ChanCenter for Vital Longevity, The University of Texas at Dallas, Richardson, TX, USA.

Narun PatDepartment of Psychology, University of Otago, William James Building, 275 Leith Walk, Dunedin, 9016, New Zealand.

Funding

Ministry of Business, Innovation and Employment RTVU2403Ministry of Business, Innovation and Employment UOA2421Neurological Foundation of New Zealand 2350 PRGNew Zealand Health Research Council Funding 21/618New Zealand Health Research Council Funding 24/838

6 · The paper itself

Abstract

Brain MRI shows promise for predicting cognitive functioning, but its utility depends on its capacity to capture stable between-person differences (e.g., patient stratification), longitudinal within-person changes (e.g., prognosis, treatment monitoring), or both. Using longitudinal data from 450 adults (aged 21-90; up to three waves, five years apart) in the Dallas Lifespan Brain Study, we benchmarked five modalities, task fMRI, functional connectivity (FC), structural MRI (sMRI), diffusion-weighted imaging (DWI), and arterial spin labeling (ASL), across 37 phenotypes and their combination. Stacking all MRI modalities into one marker predicted cognitive functioning with the highest accuracy (R

Indexed as

AgingCognitive functioningLongitudinalMachine learningNeuroimaging

Identifiers

PMID42550370

DOI10.1007/978-1-4614-6849-3

What Socratic holds

Textmetadata

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 Socratic graph.