ArticleNetwork neuroscience (Cambridge, Mass.)2022
Empirical evaluation of human fetal fMRI preprocessing steps.
Article in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The developing Human Connectome Project fetal functional MRI release: Methods and data structures.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Longitudinal functional brain connectivity maturation in premature newborn infants: Modulatory influence of early music enrichment.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Trajectories of human brain functional connectome maturation across the birth transition.PLoS biology · 2024Article
- Temporal complexity of the BOLD-signal in preterm versus term infants.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Trajectories of brain and behaviour development in the womb, at birth and through infancy.Nature human behaviour · 2024Review
- Characterizing Large-Scale Human Circuit Development with In Vivo Neuroimaging.Cold Spring Harbor perspectives in biology · 2024Review
- Fetal Frontolimbic Connectivity Prospectively Associates With Aggression in Toddlers.Biological psychiatry global open science · 2023Article
- Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure.Communications biology · 2023Article
- Fetal behavior during MRI changes with age and relates to network dynamics.Human brain mapping · 2023Article
- Fetal Hippocampal Connectivity Shows Dissociable Associations with Maternal Cortisol and Self-Reported Distress during Pregnancy.Life (Basel, Switzerland) · 2022Article
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3 authors.
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Abstract
Increased study and methodological innovation have led to growth in the field of fetal brain fMRI. An important gap yet to be addressed is optimization of fetal fMRI preprocessing. Rapid developmental changes, imaged within the maternal compartment using an abdominal coil, introduce novel constraints that challenge established methods used in adult fMRI. This study evaluates the impact of (1) normalization to a group mean-age template versus normalization to an age-matched template; (2) independent components analysis (ICA) denoising at two criterion thresholds; and (3) smoothing using three kernel sizes. Data were collected from 121 fetuses (25-39 weeks, 43.8% female). Results indicate that the mean age template is superior in older fetuses, but less optimal in younger fetuses. ICA denoising at a more stringent threshold is superior to less stringent denoising. A larger smoothing kernel can enhance cross-hemisphere functional connectivity. Overall, this study provides improved understanding of the impact of specific steps on fetal image quality. Findings can be used to inform a common set of best practices for fetal fMRI preprocessing.
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