ReviewNeuroImage2021
State-related neural influences on fMRI connectivity estimation.
Review in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Global cortical arousal effects in fMRI reveal brain markers of state and trait anxiety.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Brain network dynamics in the wake-sleep transition reorganize according to task engagement.Imaging neuroscience (Cambridge, Mass.) · 2026Article
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- Interhemispheric resting-state functional connectivity correlates with spontaneous neural interactions.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.Npj mental health research · 2025Article
- Multimodal state-dependent connectivity analysis of arousal and autonomic centers in the brainstem and basal forebrain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Genetic fingerprinting with heritable phenotypes of the resting-state brain network topology.Communications biology · 2024Article
- Functionality of arousal-regulating brain circuitry at rest predicts human cognitive abilities.bioRxiv : the preprint server for biology · 2024Article
- Classification of cognitive ability of healthy older individuals using resting-state functional connectivity magnetic resonance imaging and an extreme learning machine.BMC medical imaging · 2024Article
- Longitudinal changes in resting state fMRI brain self-similarity of asymptomatic high school American football athletes.Scientific reports · 2024Article
- A predictor-informed multi-subject bayesian approach for dynamic functional connectivity.PloS one · 2024Article
- Recent advances in the neuroscience of spontaneous and off-task thought: implications for mental health.Nature. Mental health · 2023Article
- Editorial: Is Now the Time for Foundational Theory of Brain Connectivity?Neuroinformatics · 2023Article
- Complex topology meets simple statistics.Nature neuroscience · 2023Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The spatiotemporal structure of functional magnetic resonance imaging (fMRI) signals has provided a valuable window into the network underpinnings of human brain function and dysfunction. Although some cross-regional temporal correlation patterns (functional connectivity; FC) exhibit a high degree of stability across individuals and species, there is growing acknowledgment that measures of FC can exhibit marked changes over a range of temporal scales. Further, FC can co-vary with experimental task demands and ongoing neural processes linked to arousal, consciousness and perception, cognitive and affective state, and brain-body interactions. The increased recognition that such interrelated neural processes modulate FC measurements has raised both challenges and new opportunities in using FC to investigate brain function. Here, we review recent advances in the quantification of neural effects that shape fMRI FC and discuss the broad implications of these findings in the design and analysis of fMRI studies. We also discuss how a more complete understanding of the neural factors that shape FC measurements can resolve apparent inconsistencies in the literature and lead to more interpretable conclusions from fMRI studies.
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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.