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Nonketotic hyperglycinemia: spectrum of imaging findings with emphasis on diffusion-weighted imaging

Overview of attention for article published in Neuroradiology, September 2017
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Title
Nonketotic hyperglycinemia: spectrum of imaging findings with emphasis on diffusion-weighted imaging
Published in
Neuroradiology, September 2017
DOI 10.1007/s00234-017-1913-0
Pubmed ID
Authors

Shaimaa Abdelsattar Mohammad, Heba Salah Abdelkhalek

Abstract

The purpose of this study was to explore brain abnormalities in nonketotic hyperglycinemia (NKH) using diffusion-weighted imaging (DWI) and when feasible, diffusion tensor imaging (DTI) and tractography. Seven patients with confirmed diagnosis of NKH (8 days-2 years) underwent brain MRI. Conventional T1 and T2WI were acquired in all patients, DWI in six and DTI and tractography in two (4 months and 2 years). Measurements of fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity (AD) and Trace from eight white matter regions were compared between the two patients and age-matched controls. Tractography of corpus callosum, superior longitudinal fasciculus and corticospinal tracts was performed with extraction of their FA and diffusivity indices. MRI showed nonspecific brain atrophy in three children. Corpus callosum atrophy was found as a part of these atrophic changes. Cerebellar vermian hypoplasia and supratentorial hydrocephalus were seen in one patient. The topographic distribution of diffusion restriction was different among patients. The affected white matter regions were not predominantly following the expected areas of myelination according to patients' age. Deep grey matter nuclei were affected in one patient. DTI revealed lower FA with higher RD in most of the measured white matter regions and tracts. These changes were more appreciated in the 2-year-old patient. However, Trace was higher in the 2-year-old patient and lower in the 4-month-old one. The extracted tracts were decreased in volume. DWI, DTI and tractography with FA and diffusivity measurements can give insights into white matter microstructural alterations that can occur in NKH.

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Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 38%
Student > Postgraduate 2 15%
Student > Bachelor 1 8%
Lecturer 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Medicine and Dentistry 5 38%
Biochemistry, Genetics and Molecular Biology 2 15%
Neuroscience 2 15%
Psychology 2 15%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2017.
All research outputs
#19,789,791
of 24,319,828 outputs
Outputs from Neuroradiology
#1,007
of 1,479 outputs
Outputs of similar age
#248,119
of 320,043 outputs
Outputs of similar age from Neuroradiology
#16
of 30 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,479 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.