Evidence map›Paper›PMID 35368291›Full record

ArticleFrontiers in neuroscience2022

Covariance and Correlation Analysis of Resting State Functional Magnetic Resonance Imaging Data Acquired in a Clinical Trial of Mindfulness-Based Stress Reduction and Exercise in Older Individuals.

Abraham Z Snyder, Tomoyuki Nishino, Joshua S Shimony, Eric J Lenze, Julie Loebach Wetherell, Michelle Voegtle, J Philip Miller, Michael D Yingling, Daniel Marcus, Jenny Gurney and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Combined Cognitive Training and Vortioxetine Mitigates Age-Related Declines in Functional Brain Network Integrity.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
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  7. Disuse-driven plasticity in the human thalamus and putamen.bioRxiv : the preprint server for biology · 2024
    Article
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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

14 authors at 5 institutions in 1 country.

Abraham Z SnyderMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Tomoyuki NishinoDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Joshua S ShimonyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Eric J LenzeDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Julie Loebach WetherellVA San Diego Healthcare System, San Diego, CA, United States.
Michelle VoegtleDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
J Philip MillerDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States.
Michael D YinglingDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States.
Daniel MarcusMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Jenny GurneyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Jerrel RutlinDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Drew ScottMaster of Social Welfare Program, University of California, Berkeley, Berkeley, CA, United States.
Lisa EylerDepartment of Psychiatry, University of California, San Diego, San Diego, CA, United States.
Deanna BarchMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Washington University in St. Louis · USMallinckrodt (United States) · USUniversity of California, Berkeley · USUniversity of California, San Diego · USVA San Diego Healthcare System · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
NCATS NIH HHS UL1 TR002345NIDDK NIH HHS P30 DK056341
6 · The paper itself

Abstract

We describe and apply novel methodology for whole-brain analysis of resting state fMRI functional connectivity data, combining conventional multi-channel Pearson correlation with covariance analysis. Unlike correlation, covariance analysis preserves signal amplitude information, which feature of fMRI time series may carry physiological significance. Additionally, we demonstrate that dimensionality reduction of the fMRI data offers several computational advantages including projection onto a space of manageable dimension, enabling linear operations on functional connectivity measures and exclusion of variance unrelated to resting state network structure. We show that group-averaged, dimensionality reduced, covariance and correlation matrices are related, to reasonable approximation, by a single scalar factor. We apply this methodology to the analysis of a large, resting state fMRI data set acquired in a prospective, controlled study of mindfulness training and exercise in older, sedentary participants at risk for developing cognitive decline. Results show marginally significant effects of both mindfulness training and exercise in both covariance and correlation measures of functional connectivity.

Indexed as

correlationcovarianceexercisefunctional connectivitymindfulnessresting state—fMRI

Identifiers

PMID35368291
PMCPMC8971902
OpenAlexW4220676190

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.