ArticleBrain connectivity2018
Investigating the Intersession Reliability of Dynamic Brain-State Properties.
Article in Brain connectivity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Test-retest reliability of dynamic functional connectivity parameters for a two-state model.Network neuroscience (Cambridge, Mass.) · 2025Article
- Time-varying functional connectivity predicts fluctuations in sustained attention in a serial tapping task.Cognitive, affective & behavioral neuroscience · 2024Article
- Higher general intelligence is associated with stable, efficient, and typical dynamic functional brain connectivity patterns.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Challenges in the measurement and interpretation of dynamic functional connectivity.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Multiframe Evolving Dynamic Functional ConnectivityFrontiers in neuroscience · 2022Article
- Validating dynamicity in resting state fMRI with activation-informed temporal segmentation.Human brain mapping · 2021Article
- Tools of the trade: estimating time-varying connectivity patterns from fMRI data.Social cognitive and affective neuroscience · 2021Review
- LSD alters dynamic integration and segregation in the human brain.NeuroImage · 2021Article
- Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis.Frontiers in neuroscience · 2019Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Dynamic functional connectivity metrics have much to offer to the neuroscience of individual differences of cognition. Yet, despite the recent expansion in dynamic connectivity research, limited resources have been devoted to the study of the reliability of these connectivity measures. To address this, resting-state functional magnetic resonance imaging data from 100 Human Connectome Project subjects were compared across 2 scan days. Brain states (i.e., patterns of coactivity across regions) were identified by classifying each time frame using k means clustering. This was done with and without global signal regression (GSR). Multiple gauges of reliability indicated consistency in the brain-state properties across days and GSR attenuated the reliability of the brain states. Changes in the brain-state properties across the course of the scan were investigated as well. The results demonstrate that summary metrics describing the clustering of individual time frames have adequate test/retest reliability, and thus, these patterns of brain activation may hold promise for individual-difference research.
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What OpenQuestion holds
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.