An ode to fetal, infant, and toddler neuroimaging: Chronicling early clinical to research applications with MRI, and an introduction to an academic society connecting the field. (April 2022)

• Record Type: Journal Article
• Authors: Pollatou, Angeliki; Filippi, Courtney A.; Aydin, Ezra; Vaughn, Kelly; Thompson, Deanne; Korom, Marta; Dufford, Alexander J.; Howell, Brittany; Zöllei, Lilla; Martino, Adriana Di; Graham, Alice; Scheinost, Dustin; Spann, Marisa N.
• Is Part Of: Developmental cognitive neuroscience. Volume 54(2022)
• Publication Date: 2022-04
• Subjects: MRI Magnetic Resonance Imaging -- fMRI functional MRI -- FDA Food and Drug Administration -- FIT'NG Fetal, Infant, Toddler Neuroimaging Group; MRI -- FMRI -- FIT'NG -- Infant neuroimaging -- Fetal neuroimaging -- Brain development -- Longitudinal studies; Cognitive neuroscience -- Periodicals; Developmental neurobiology -- Periodicals; Neuropsychology -- Periodicals; Neuropsychiatry -- Periodicals; 612.8233
• DOI: 10.1016/j.dcn.2022.101083
• Languages: English
• ISSNs: 1878-9293

Abstract

Abstract: Fetal, infant, and toddler neuroimaging is commonly thought of as a development of modern times (last two decades). Yet, this field mobilized shortly after the discovery and implementation of MRI technology. Here, we provide a review of the parallel advancements in the fields of fetal, infant, and toddler neuroimaging, noting the shifts from clinical to research use, and the ongoing challenges in this fast-growing field. We chronicle the pioneering science of fetal, infant, and toddler neuroimaging, highlighting the early studies that set the stage for modern advances in imaging during this developmental period, and the large-scale multi-site efforts which ultimately led to the explosion of interest in the field today. Lastly, we consider the growing pains of the community and the need for an academic society that bridges expertise in developmental neuroscience, clinical science, as well as computational and biomedical engineering, to ensure special consideration of the vulnerable mother-offspring dyad (especially during pregnancy), data quality, and image processing tools that are created, rather than adapted, for the young brain.