Evidence map›Paper›PMID 25344151›Full record

ArticleJournal of inherited metabolic disease2015

White matter microstructure pathology in classic galactosemia revealed by neurite orientation dispersion and density imaging.

Inge Timmers, Hui Zhang, Matteo Bastiani, Bernadette M Jansma, Alard Roebroeck, M Estela Rubio-Gozalbo

Abstract read
In one paragraph

Article in Journal of inherited metabolic disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Inge TimmersDepartment of Cognitive Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands, inge.timmers@maastrichtuniversity.nl.
Hui Zhang
Matteo Bastiani
Bernadette M Jansma
Alard Roebroeck
M Estela Rubio-Gozalbo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White matter abnormalities have been observed in patients with classic galactosemia, an inborn error of galactose metabolism. However, magnetic resonance imaging (MRI) data collected in the past were generally qualitative in nature. Our objective was to investigate white matter microstructure pathology and examine correlations with outcome and behaviour in this disease, by using multi-shell diffusion weighted imaging. In addition to standard diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging (NODDI) was used to estimate density and orientation dispersion of neurites in a group of eight patients (aged 16-21 years) and eight healthy controls (aged 15-20 years). Extensive white matter abnormalities were found: neurite density index (NDI) was lower in the patient group in bilateral anterior areas, and orientation dispersion index (ODI) was increased mainly in the left hemisphere. These specific regional profiles are in agreement with the cognitive profile observed in galactosemia, showing higher order cognitive impairments, and language and motor impairments, respectively. Less favourable white matter properties correlated positively with age and age at onset of diet, and negatively with behavioural outcome (e.g. visual working memory). To conclude, this study provides evidence of white matter pathology regarding density and dispersion of neurites in these patients. The results are discussed in light of suggested pathophysiological mechanisms.

Indexed as

AdolescentAge FactorsBrain MappingCase-Control StudiesCognitionDiet, Carbohydrate-RestrictedDiffusion Magnetic Resonance ImagingFemaleGalactosemiasHumansLanguageMaleMotor ActivityNeuritesPredictive Value of TestsPrognosis

Identifiers

PMID25344151
PMCPMC4341012

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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.