Evidence map›Paper›PMID 40949777›Full record

ArticleComputational brain & behavior2025

Partially Observable Predictor Models for Identifying Cognitive Markers.

Zita Oravecz, Martin Sliwinski, Sharon H Kim, Lindy Williams, Mindy J Katz, Joachim Vandekerckhove

Abstract read
In one paragraph

Article in Computational brain & behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Zita OraveczThe Pennsylvania State University, Harrisburg, PA 16802 USA.
Martin SliwinskiThe Pennsylvania State University, Harrisburg, PA 16802 USA.
Sharon H KimThe Pennsylvania State University, Harrisburg, PA 16802 USA.
Lindy WilliamsThe Pennsylvania State University, Harrisburg, PA 16802 USA.
Mindy J KatzDepartment of Neurology, Albert Einstein College of Medicine, New York, NY 10461 USA.
Joachim VandekerckhoveUniversity of California, Irvine, Irvine, CA 92697 USA.

Funding

Vascular Structure and Function in Cognitive AgingP01AG003949 · NIA · YESHIVA UNIVERSITY · PI Richard B. LIPTON · 1985 to 2026
$73.9M
Multi-timescale process models to disentangle subtle cognitive decline and learning effectsR01AG074208 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI Zita Oravecz · 2024 to 2026
$2.3M
Multi-timescale process models to disentangle subtle cognitive decline and learning effectsR56AG074208 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI ORAVECZ, ZITA · 2021 to 2021
$669k
NIA NIH HHS P01 AG003949NIA NIH HHS R01 AG074208NIA NIH HHS R56 AG074208
6 · The paper itself

Abstract

Repeated assessments of cognitive performance yield rich data from which we can extract markers of cognitive performance. Computational cognitive process models are often fit to repeated cognitive assessments to quantify individual differences in terms of substantively meaningful cognitive markers and link them to other person-level variables. Most studies stop at this point and do not test whether these cognitive markers have utility for predicting some meaningful outcomes. Here, we demonstrate a

Identifiers

PMID40949777
PMCPMC12423142

What OpenQuestion holds

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Registered trials

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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.