Evidence map›Paper›PMID 35398188›Full record

Observational studyNeuroscience letters2022

Changes in pairwise functional connectivity associated with changes in cognitive performance in cognitively normal older individuals: A two-year observational study.

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

Abstract readObservational Study
In one paragraph

Observational study in Neuroscience letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Kumiko OishiCenter for Imaging Science, The Johns Hopkins University, 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 HsuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Susumu MoriDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Marilyn AlbertDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kenichi OishiDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: koishi2@jhmi.edu.
BIOCARD Research Team

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Mei Cheng Wang · 2014 to 2026
$51.5M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
Continued Development and Maintenance of MriStudioR01NS084957 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, MORI, SUSUMU · 2013 to 2022
$3.6M
NIA NIH HHS P30 AG066507NIA NIH HHS U19 AG033655NINDS NIH HHS R01 NS084957
6 · The paper itself

Abstract

Neurobiological substrates of cognitive decline in cognitively normal older individuals have been investigated by resting-state functional magnetic resonance imaging, but little is known about the relationship between longitudinal changes in the whole brain. In this study, we examined two-year changes in functional connectivity among 80 gray matter areas and investigated the relationship to two-year changes in cognitive performance. A cross-validated permutation variable importance measure was applied to select features related to a change in cognitive performance. Age-corrected changes in eleven pairs of functional connections were selected as important features, all related to brain areas that belong to the default mode network. A linear regression model with cross-validation demonstrated a mean correlation coefficient of 0.55 between measured and predicted changes in the cognitive composite score. These results suggest that intra- and inter-network connections in the default mode network are associated with cognitive changes over two years among cognitively normal individuals.

Indexed as

BrainCognitive DysfunctionBrain MappingCognitionHumansMagnetic Resonance ImagingNeuropsychological TestsCognitive changeCognitively normalDefault mode networkResting-state functional magnetic resonance imagingSalience network

Identifiers

PMID35398188
PMCPMC9990522

What OpenQuestion holds

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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.