Evidence map›Paper›PMID 35669007›Full record

ArticleData in brief2022

Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals.

Kumiko Oishi, Anja Soldan, Corinne Pettigrew, Johnny Hsu, Susumu Mori, Marilyn Albert, Kenichi Oishi, BIOCARD Research Team

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

8 authors.

Kumiko OishiCenter for Imaging Science, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Anja SoldanDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Corinne PettigrewDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johnny HsuThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 208 Traylor Building, 720 Rutland Avenue, Baltimore, MD 21205, USA.
Susumu MoriThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 208 Traylor Building, 720 Rutland Avenue, Baltimore, MD 21205, USA.
Marilyn AlbertDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kenichi OishiThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 208 Traylor Building, 720 Rutland Avenue, Baltimore, MD 21205, USA.
BIOCARD Research Team

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Mei Cheng Wang · 2014 to 2026
$51.5M
Continued Development and Maintenance of MriStudioR01NS084957 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, MORI, SUSUMU · 2013 to 2022
$3.6M
NIA NIH HHS U19 AG033655NINDS NIH HHS R01 NS084957
6 · The paper itself

Abstract

The data show an association between measured and predicted changes in cognitive performance in older adults who are cognitively normal. Changes in cognitive performance over two years were assessed using the Cognitive Composite Score. The prediction of change in cognitive function was based on changes in pairwise functional connectivity between 80 gray matter regions examined by resting-state functional magnetic resonance imaging. A feature extraction process based on the Variable Importance Testing Approach (VITA) identified changes in 11 pairs of functional connections associated with the default mode network as features related to changes in cognitive performance. Linear and elastic net regression models were applied to these 11 features to predict changes in cognitive performance over two years. A relationship between the 11 features and the geriatric depression score was also shown. The dataset supplements the research findings in the "Changes in pairwise functional connectivity associated with changes in cognitive performance in cognitively normal older individuals: a two-year observational study" published in Oishi et al. (2022). The raw rs-fMRI correlation matrix and associated clinical data can be accessed upon request from the BIOCARD website (www.biocard-se.org) and can be reused for predictive model building.

Indexed as

Cognitive changeDefault mode networkResting-state functional magnetic resonance imageSalience network

Identifiers

PMID35669007
PMCPMC9163691

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.