Evidence map›Paper›PMID 28968754›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2017

Influences on the Test-Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility.

Stephanie Noble, Marisa N Spann, Fuyuze Tokoglu, Xilin Shen, R Todd Constable, Dustin Scheinost

Registry-linked trialAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07024875 (Precision Neuroimaging of Parkinson's Disease), which is not on this map. Cited by 231 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
231citing papers in PubMed, 2 pooled it
–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.

NCT07024875 recruitingnot on this mapstarted 2025, after this paper: background citation

Precision Neuroimaging of Parkinson's Disease

Typeobservational_patient_registrySponsorWashington University School of MedicineRan2025 to 2031Enrolled120ConditionsParkinsons Disease (PD)
3 · Its place in the literature

Who cites it

231 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Functional brain organization is stable within individuals across years.bioRxiv : the preprint server for biology · 2026
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  15. The Hidden Landscape of Missed Effects in Human Functional Neuroimaging.bioRxiv : the preprint server for biology · 2026
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171 more citing papers are in PubMed but not listed here.

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.

Stephanie NobleInterdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA.
Marisa N SpannDepartment of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Fuyuze TokogluDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA.
Xilin ShenDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA.
R Todd ConstableInterdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA.
Dustin ScheinostDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Best practices are currently being developed for the acquisition and processing of resting-state magnetic resonance imaging data used to estimate brain functional organization-or "functional connectivity." Standards have been proposed based on test-retest reliability, but open questions remain. These include how amount of data per subject influences whole-brain reliability, the influence of increasing runs versus sessions, the spatial distribution of reliability, the reliability of multivariate methods, and, crucially, how reliability maps onto prediction of behavior. We collected a dataset of 12 extensively sampled individuals (144 min data each across 2 identically configured scanners) to assess test-retest reliability of whole-brain connectivity within the generalizability theory framework. We used Human Connectome Project data to replicate these analyses and relate reliability to behavioral prediction. Overall, the historical 5-min scan produced poor reliability averaged across connections. Increasing the number of sessions was more beneficial than increasing runs. Reliability was lowest for subcortical connections and highest for within-network cortical connections. Multivariate reliability was greater than univariate. Finally, reliability could not be used to improve prediction; these findings are among the first to underscore this distinction for functional connectivity. A comprehensive understanding of test-retest reliability, including its limitations, supports the development of best practices in the field.

Indexed as

ConnectomeMagnetic Resonance ImagingAdultBrainFemaleHumansMaleMiddle AgedModels, StatisticalMultivariate AnalysisNeural PathwaysReproducibility of ResultsRestbehavioral predictionmultivariateresting state functional connectivitytest–retest reliabilitywhole brain

Identifiers

PMID28968754
PMCPMC6248395

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.