Processing of structural neuroimaging data in young children: Bridging the gap between current practice and state-of-the-art methods
| Autor: | Dirk Smeets, Joel B. Talcott, Maaike Vandermosten, Thanh Vân Phan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
neuroimaging methods Bridging (networking) Cognitive Neuroscience Neuroimaging Mri studies Article 050105 experimental psychology neural development Developmental psychology 03 medical and health sciences 0302 clinical medicine children medicine Humans Brain atlas 0501 psychology and cognitive sciences Medical physics Early childhood Child Children structural MRI medicine.diagnostic_test 05 social sciences lcsh:QP351-495 Neuroimaging methods Brain Longitudinal analysis longitudinal analysis Magnetic resonance imaging Magnetic Resonance Imaging brain atlas Processing methods Structural MRI lcsh:Neurophysiology and neuropsychology Neural development Current practice DYSCO Psychology 030217 neurology & neurosurgery |
| Zdroj: | Developmental Cognitive Neuroscience, Vol 33, Iss, Pp 206-223 (2018) Developmental Cognitive Neuroscience |
| ISSN: | 1878-9293 |
| Popis: | Highlights • The structure of a child brain is significantly different from an adult brain. • Standard software tools for processing brain MRI data might not be appropriate for analyzing pediatric neuroimaging data. • Age-specific and 4D brain MRI atlases have shown to improve the results for brain extraction, normalization, and segmentation. • Image quality enhancement and longitudinal registration are important processing steps for analysis of pediatric samples. The structure of the brain is subject to very rapid developmental changes during early childhood. Pediatric studies based on Magnetic Resonance Imaging (MRI) over this age range have recently become more frequent, with the advantage of providing in vivo and non-invasive high-resolution images of the developing brain, toward understanding typical and atypical trajectories. However, it has also been demonstrated that application of currently standard MRI processing methods that have been developed with datasets from adults may not be appropriate for use with pediatric datasets. In this review, we examine the approaches currently used in MRI studies involving young children, including an overview of the rationale for new MRI processing methods that have been designed specifically for pediatric investigations. These methods are mainly related to the use of age-specific or 4D brain atlases, improved methods for quantifying and optimizing image quality, and provision for registration of developmental data obtained with longitudinal designs. The overall goal is to raise awareness of the existence of these methods and the possibilities for implementing them in developmental neuroimaging studies. |
| Databáze: | OpenAIRE |
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