ArticleFrontiers in neuroscience2019
Sampling Rate Effects on Resting State fMRI Metrics.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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Who cites it
62 citing papers in PubMed.
- TRACC-PHYSIO: Time-Domain Resolution-Aligned Cross-Correlation to Estimate PHYSIOlogical Coupling and Time Delays in Dynamic MRI.Magnetic resonance in medicine · 2026Article
- Quantifying Cardiac, Respiratory, and Low Frequency Components of CSF Motion From fMRI Inflow Effects.Magnetic resonance in medicine · 2026Article
- Altered Spontaneous Brain Activity in Adolescents and Adults with Comitant Strabismus and Strabismic Amblyopia.Ophthalmology science · 2026Article
- Infra-slow (<0.1 Hz) Modulation of Human Brain Pulsations in Awake and Sleep States.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Spec-RWKV: A Spectrum-Guided Multi-Scale Recurrent Modeling Framework for Multi-Center Resting-State fMRI-Assisted Diagnosis.Brain sciences · 2026Article
- Sleep Alters the Velocity of Physiological Brain Pulsations in Humans.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Sleep alters neurovascular and hydrodynamic coupling in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Regulation of Vasomotor and Cardiorespiratory Pulsations Is Disrupted in Primary Central Nervous System Lymphoma: A Case-Control fMRI Study.Human brain mapping · 2026Article
- Frequency-specific resting state fMRI features in gliomas.Journal of neuro-oncology · 2026Article
- Combining fast and slow fMRI sampling rates can enhance predictive power in resting-state data.NeuroImage · 2026Article
- Sparse machine learning of resting-state fMRI reveals brain-wide dysconnectivity in hyperacusis.Communications medicine · 2025Article
- Salience network segregation and symptom profiles in psychosis risk subgroups among youth and early adults.Schizophrenia (Heidelberg, Germany) · 2025Article
- Optimizing the frequency of ecological momentary assessments using signal processing.Psychological medicine · 2025Article
- A low-latency neural inference framework for real-time handwriting recognition from EEG signals on an edge device.Scientific reports · 2025Article
- Individualized functional connectome biomarkers predict clinical symptoms after rTMS treatment in Alzheimer's disease.Translational psychiatry · 2025Article
- HyPER: Region-specific hypersampling of fMRI to resolve low-frequency, respiratory, and cardiac pulsations, revealing age-related differences.NeuroImage · 2025Article
- Effect of anticholinergic eye drops on intraorbital, periorbital and brain pulsation power.Acta ophthalmologica · 2025Article
- Article
- Ultrafast fMRI detects age-related changes in harmonics of cardiac pulsations in the brain at 7 T.bioRxiv : the preprint server for biology · 2025Article
- Human deep sleep facilitates cerebrospinal fluid dynamics linked to spontaneous brain oscillations and neural events.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
2 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Low image sampling rates used in resting state functional magnetic resonance imaging (rs-fMRI) may cause aliasing of the cardiorespiratory pulsations over the very low frequency (VLF) BOLD signal fluctuations which reflects to functional connectivity (FC). In this study, we examine the effect of sampling rate on currently used rs-fMRI FC metrics. Ultra-fast fMRI magnetic resonance encephalography (MREG) data, sampled with TR 0.1 s, was downsampled to different subsampled repetition times (sTR, range 0.3-3 s) for comparisons. Echo planar k-space sampling (TR 2.15 s) and interleaved slice collection schemes were also compared against the 3D single shot trajectory at 2.2 s sTR. The quantified connectivity metrics included stationary spatial, time, and frequency domains, as well as dynamic analyses. Time domain methods included analyses of seed-based functional connectivity, regional homogeneity (ReHo), coefficient of variation, and spatial domain group level probabilistic independent component analysis (ICA). In frequency domain analyses, we examined fractional and amplitude of low frequency fluctuations. Aliasing effects were spatially and spectrally analyzed by comparing VLF (0.01-0.1 Hz), respiratory (0.12-0.35 Hz) and cardiac power (0.9-1.3 Hz) FFT maps at different sTRs. Quasi-periodic pattern (QPP) of VLF events were analyzed for effects on dynamic FC methods. The results in conventional time and spatial domain analyses remained virtually unchanged by the different sampling rates. In frequency domain, the aliasing occurred mainly in higher sTR (1-2 s) where cardiac power aliases over respiratory power. The VLF power maps suffered minimally from increasing sTRs. Interleaved data reconstruction induced lower ReHo compared to 3D sampling (
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