Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
564-03-005 ISMRM Abstract

Optimization of rs-fMRI pre-processing steps for integration of multiple pediatric datasets

Primary: Brain Function and fMRI - fMRI Analysis
Secondary: Analysis Methods - Data Processing
564-03-005 · fMRI: Development and Aging · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row E
Keywords: Functional Connectivity Neonatal Resting-state fMRI Data integration
Accepted
Emily K Messenger 1,2, Avner Meoded1,2, Hyuk Jin Yun1,2
1Department of Radiology, Children's Mercy Hospital, Kansas City, United States of America
2School of Medicine, University of Missouri-Kansas City, Kansas City, United States of America
Presenting Author: Emily K Messenger

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Howell, B. R. et al. The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. Neuroimage 185, 891–905 (2019).
2. Fitzgibbon, S. P. et al. The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. Neuroimage 2020.
3. Fischl, B. FreeSurfer. Neuroimage 62, 774–781 (2012).
4. Fischl, B. et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33, 341–355 (2002).
5. Desikan, R. S. et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31, 968–980 (2006).
6. Kumar, V. A. et al. Recommended resting-state fMRI acquisition and preprocessing steps for preoperative mapping of language and motor and visual areas in adult and pediatric patients with brain tumors and epilepsy. Am. J. Neuroradiol. 45, 139–148 (2024).
7. Smith‐Collins, A. P. R. et al. High frequency functional brain networks in neonates revealed by rapid acquisition resting state fMRI. Hum. Brain Mapp. 36, 2483–2494 (2015).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/564-03-005