Detecting default mode networks in utero by integrated 4D fMRI reconstruction and analysis
| Autor: | Manjiri Dighe, Anna I. Blazejewska, Christopher Gatenby, Colin Studholme, Sharmishtaa Seshamani, Susan Mckown, Jason Caucutt |
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| Rok vydání: | 2016 |
| Předmět: |
Artifact (error)
Radiological and Ultrasound Technology Resting state fMRI medicine.diagnostic_test business.industry Computer science 3D reconstruction Linear model Pattern recognition Magnetic resonance imaging Iterative reconstruction 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Neurology medicine Radiology Nuclear Medicine and imaging Multislice Neurology (clinical) Artificial intelligence Anatomy business Neuroscience 030217 neurology & neurosurgery Default mode network |
| Zdroj: | Human Brain Mapping. 37:4158-4178 |
| ISSN: | 1065-9471 |
| DOI: | 10.1002/hbm.23303 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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