Evidence map›Paper›PMID 40567557›Full record

ArticleNeuroimage. Reports2022

Individualized prediction of future cognition based on developmental changes in cortical anatomy.

Budhachandra Khundrakpam, Linda Booij, Seun Jeon, Sherif Karama, Jussi Tohka, Alan C Evans

Abstract read
In one paragraph

Article in Neuroimage. Reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Predicting Future Brain Atrophy Based on Longitudinal MRI.medRxiv : the preprint server for health sciences · 2025
    Article
  2. Article
  3. Article
  4. Article
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.

Budhachandra KhundrakpamMcGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada.
Linda BooijDepartment of Psychology, Concordia University, Montreal, QC, H4B 1R6, Canada.
Seun JeonMcGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada.
Sherif KaramaDouglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC, H4H 1R3, Canada.
Jussi TohkaUniversity of Eastern Finland, Canada.
Alan C EvansMcGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive modeling studies have started to reveal brain measures underlying cognition; however, most studies are based on cross-sectional data (brain measures acquired at one time point). Since brain development comprises of continuously ongoing events leading to cognitive development, predictive modeling studies need to consider

Identifiers

PMID40567557
PMCPMC12172889

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.