Cargando…

Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol

Performing functional magnetic resonance imaging (fMRI) scans of children can be a difficult task, as participants tend to move while being scanned. Head motion represents a significant confound in fMRI connectivity analyses. One approach to limit motion has been to use shorter MRI protocols, though...

Descripción completa

Detalles Bibliográficos
Autores principales: Horien, Corey, Fontenelle, Scuddy, Joseph, Kohrissa, Powell, Nicole, Nutor, Chaela, Fortes, Diogo, Butler, Maureen, Powell, Kelly, Macris, Deanna, Lee, Kangjoo, Greene, Abigail S., McPartland, James C., Volkmar, Fred R., Scheinost, Dustin, Chawarska, Katarzyna, Constable, R. Todd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736342/
https://www.ncbi.nlm.nih.gov/pubmed/33318557
http://dx.doi.org/10.1038/s41598-020-78885-z
Descripción
Sumario:Performing functional magnetic resonance imaging (fMRI) scans of children can be a difficult task, as participants tend to move while being scanned. Head motion represents a significant confound in fMRI connectivity analyses. One approach to limit motion has been to use shorter MRI protocols, though this reduces the reliability of results. Hence, there is a need to implement methods to achieve high-quality, low-motion data while not sacrificing data quantity. Here we show that by using a mock scan protocol prior to a scan, in conjunction with other in-scan steps (weighted blanket and incentive system), it is possible to achieve low-motion fMRI data in pediatric participants (age range: 7–17 years old) undergoing a 60 min MRI session. We also observe that motion is low during the MRI protocol in a separate replication group of participants, including some with autism spectrum disorder. Collectively, the results indicate it is possible to conduct long scan protocols in difficult-to-scan populations and still achieve high-quality data, thus potentially allowing more reliable fMRI findings.