title: Detecting default mode networks in utero by integrated 4D fMRI reconstruction and analysis.
abstract: Recently, there has been considerable interest, especially for in utero imaging, in the detection of functional connectivity in subjects whose motion cannot be controlled while in the MRI scanner. These cases require two advances over current studies: (1) multiecho acquisitions and (2) post processing and reconstruction that can deal with significant between slice motion during multislice protocols to allow for the ability to detect temporal correlations introduced by spatial scattering of slices into account. This article focuses on the estimation of a spatially and temporally regular time series from motion scattered slices of multiecho fMRI datasets using a full four-dimensional (4D) iterative image reconstruction framework. The framework which includes quantitative MRI methods for artifact correction is evaluated using adult studies with and without motion to both refine parameter settings and evaluate the analysis pipeline. ICA analysis is then applied to the 4D image reconstruction of both adult and in utero fetal studies where resting state activity is perturbed by motion. Results indicate quantitative improvements in reconstruction quality when compared to the conventional 3D reconstruction approach (using simulated adult data) and demonstrate the ability to detect the default mode network in moving adults and fetuses with single-subject and group analysis. Hum Brain Mapp 37:4158-4178, 2016. © 2016 Wiley Periodicals, Inc.
authors: Department of Pediatrics, Radiology and Bioengineering, Biomedical Image Computing Group, University of Washington, Seattle, Washington, 98195. shtaaa@gmail.com.
authors: Sharmishtaa
authors: S
authors: Seshamani
authors: Department of Pediatrics, Biomedical Image Computing Group, University of Washington, Seattle, Washington, 98195.
authors: Anna I
authors: AI
authors: Blazejewska
authors: Department of Radiology, University of Washington, Seattle, Washington, 98195.
authors: Susan
authors: S
authors: Mckown
authors: Department of Pediatrics, Radiology, Bioengineering, Institute of Translational Health Sciences, University of Washington, Seattle, Washington, 98195.
authors: Jason
authors: J
authors: Caucutt
authors: Department of Radiology, University of Washington, Seattle, Washington, 98195.
authors: Manjiri
authors: M
authors: Dighe
authors: Department of Radiology, University of Washington, Seattle, Washington, 98195.
authors: Christopher
authors: C
authors: Gatenby
authors: Departments of Pediatrics, Bioengineering and Radiology, Biomedical Image Computing Group, University of Washington, Seattle, Washington, 98195.
authors: Colin
authors: C
authors: Studholme
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging* / Q000196:embryology / Q000502:physiology*; D003198:Computer Simulation; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008959:Models, Neurological; D009038:Motion; D009434:Neural Pathways / Q000000981:diagnostic imaging / Q000196:embryology / Q000502:physiology; D011247:Pregnancy; D011263:Pregnancy Trimester, Third; D011296:Prenatal Diagnosis; D012146:Rest
keywords: 4D reconstruction; Fetal MRI; brain development; fMRI; fetal DMN