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
Date Issued
2022-04Publisher Version
10.1016/j.dcn.2022.101083Author(s)
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
FIT’NG Group
Scheinost, Dustin
Spann, Marisa N.
Metadata
Show full item recordPermanent Link
https://hdl.handle.net/2144/45008Version
Published version
Citation (published version)
A. Pollatou, C.A. Filippi, E. Aydin, K. Vaughn, D. Thompson, M. Korom, A.J. Dufford, B. Howell, L. Zöllei, A.D. Martino, A. Graham, FIT’NG Group, D. Scheinost, M.N. Spann. 2022. "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.." Dev Cogn Neurosci, Volume 54, pp. 101083 - ?. https://doi.org/10.1016/j.dcn.2022.101083Abstract
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.
Rights
© 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Collections