ArticleNeuroImage2022
Filtering respiratory motion artifact from resting state fMRI data in infant and toddler populations.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer.Biological psychiatry · 2023Pooled it
- Resting-State vs. Task-Based Functional Magnetic Resonance Imaging in Neurosurgical Planning: A Narrative Review of Clinical Applications.Biomedicines · 2026Review
- Commonality and Variability in Functional Networks in Children Under 5 Years Old.bioRxiv : the preprint server for biology · 2026Article
- Improving respiratory and heart rate variation estimation from resting-state BOLD fMRI across the lifespan using a functionally informed, tissue-aware deep learning framework.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Considerations for conducting developmental neuroimaging research on mental health topics.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Functional Magnetic Resonance Imaging in Awake Infants: Insights From More Than 750 Scanning Sessions.Infancy : the official journal of the International Society on Infant Studies · 2026Article
- Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.bioRxiv : the preprint server for biology · 2025Article
- Physiological Confounds in BOLD-fMRI and Their Correction.NMR in biomedicine · 2025Review
- The generalizability of cortical area parcellations across early childhood.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Evaluating the effects of volume censoring on fetal functional connectivity.Scientific reports · 2025Article
- Machine learning-based estimation of respiratory fluctuations in a healthy adult population using resting state BOLD fMRI and head motion parameters.Magnetic resonance in medicine · 2025Article
- A Subset of Cortical Areas Exhibit Adult-like Functional Network Patterns in Early Childhood.bioRxiv : the preprint server for biology · 2024Article
- Prenatal environment is associated with the pace of cortical network development over the first three years of life.Nature communications · 2024Article
- Measures of resting-state brain network segregation and integration vary in relation to data quantity: implications for within and between subject comparisons of functional brain network organization.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Concurrent and prospective associations between infant frontoparietal and default mode network connectivity and negative affectivity.Biological psychology · 2023Article
- Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing.NeuroImage · 2023Article
- Systematic evaluation of head motion on resting-state functional connectivity MRI in the neonate.Human brain mapping · 2023Article
- Network-specific selectivity of functional connections in the neonatal brain.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Resting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds.Developmental cognitive neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
The importance of motion correction when processing resting state functional magnetic resonance imaging (rs-fMRI) data is well-established in adult cohorts. This includes adjustments based on self-limited, large amplitude subject head motion, as well as factitious rhythmic motion induced by respiration. In adults, such respiration artifact can be effectively removed by applying a notch filter to the motion trace, resulting in higher amounts of data retained after frame censoring (e.g., "scrubbing") and more reliable correlation values. Due to the unique physiological and behavioral characteristics of infants and toddlers, rs-fMRI processing pipelines, including methods to identify and remove colored noise due to subject motion, must be appropriately modified to accurately reflect true neuronal signal. These younger cohorts are characterized by higher respiration rates and lower-amplitude head movements than adults; thus, the presence and significance of comparable respiratory artifact and the subsequent necessity of applying similar techniques remain unknown. Herein, we identify and characterize the consistent presence of respiratory artifact in rs-fMRI data collected during natural sleep in infants and toddlers across two independent cohorts (aged 8-24 months) analyzed using different pipelines. We further demonstrate how removing this artifact using an age-specific notch filter allows for both improved data quality and data retention in measured results. Importantly, this work reveals the critical need to identify and address respiratory-driven head motion in fMRI data acquired in young populations through the use of age-specific motion filters as a mechanism to optimize the accuracy of measured results in this population.
Indexed as
Identifiers
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.