ReviewPediatric radiology2013
Multimodality evaluation of the pediatric brain: DTI and its competitors.
Review in Pediatric radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Understanding the impact of pediatric kidney transplantation on cognition: A review of the literature.Pediatric transplantation · 2023Review
- Global and Regional White Matter Fractional Anisotropy in Children with Chronic Kidney Disease.The Journal of pediatrics · 2022Article
- The Value of Diffusion Kurtosis Imaging in Detecting Delayed Brain Development of Premature Infants.Frontiers in neurology · 2021Article
- Pediatric brain MRI, Part 2: Advanced techniques.Pediatric radiology · 2017Review
- Age-related changes in intrinsic function of the superior temporal sulcus in autism spectrum disorders.Social cognitive and affective neuroscience · 2015Article
- Use of resting-state functional MRI to study brain development and injury in neonates.Seminars in perinatology · 2015Review
- MRI evaluation and safety in the developing brain.Seminars in perinatology · 2015Review
- Functional correlates of central white matter maturation in perinatal period in rabbits.Experimental neurology · 2014Article
- On development of functional brain connectivity in the young brain.Frontiers in human neuroscience · 2013Review
- Neuroimaging, a new tool for investigating the effects of early diet on cognitive and brain development.Frontiers in human neuroscience · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of the human brain, from the fetal period until childhood, happens in a series of intertwined neurogenetical and histogenetical events that are influenced by environment. Neuronal proliferation and migration, cell aggregation, axonal ingrowth and outgrowth, dendritic arborisation, synaptic pruning and myelinisation contribute to the 'plasticity of the developing brain'. These events taken together contribute to the establishment of adult-like neuroarchitecture required for normal brain function. With the advances in technology today, mostly due to the development of non-invasive neuroimaging tools, it is possible to analyze these structural events not only in anatomical space but also longitudinally in time. In this review we have highlighted current 'state of the art' neuroimaging tools. Development of the new MRI acquisition sequences (DTI, CHARMED and phase imaging) provides valuable insight into the changes of the microstructural environment of the cortex and white matter. Development of MRI imaging tools dedicated for analysis of the acquired images (i) TBSS and ROI fiber tractography, (ii) new tissue segmentation techniques and (iii) morphometric analysis of the cortical mantle (cortical thickness and convolutions) allows the researchers to map the longitudinal changes in the macrostructure of the developing brain that go hand-in-hand with the acquisition of cognitive skills during childhood. Finally, the latest and the newest technologies, like connectom analysis and resting state fMRI connectivity analysis, today, for the first time provide the opportunity to study the developing brain through the prism of maturation of the systems and networks beyond individual anatomical areas. Combining these methods in the future and modeling the hierarchical organization of the brain might ultimately help to understand the mechanisms underlying complex brain structure function relationships of normal development and of developmental disorders.
Indexed as
Identifiers
23288478What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.