Evidence map›Paper›PMID 30063250›Full record

ArticleAnnals of neurology2018

In vivo characterization of white matter pathology in premanifest huntington's disease.

Jiaying Zhang, Sarah Gregory, Rachael I Scahill, Alexandra Durr, David L Thomas, Stéphane Lehericy, Geraint Rees, Sarah J Tabrizi, Hui Zhang, TrackOn-HD investigators

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Annals of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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

37 citing papers in PubMed, 81 citations in OpenAlex.

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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

10 authors at 4 institutions in 3 countries.

Jiaying ZhangDepartment of Computer Science and Centre for Medical Image Computing, University College London, London, United Kingdom.
Sarah GregoryHuntington's Disease Research Centre, Institute of Neurology, University College London, London, United Kingdom.
Rachael I ScahillHuntington's Disease Research Centre, Institute of Neurology, University College London, London, United Kingdom.
Alexandra DurrICM - Institut du Cerveau et de la Moelle Epinière, INSERM U1127, CNRS UMR7225, Sorbonne Universités - UPMC Université Paris VI UMR_S1127 and APHP, Genetic department, Pitié-Salpêtrière University Hospital, Paris, France.
David L ThomasNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, United Kingdom.
Stéphane LehericyNeuroimaging Research Center, Brain and Spinal Cord Institute, Pierre and Marie Curie University, Inserm UMR1127, CNRS 7225, Paris, France.
Geraint ReesWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, United Kingdom.
Sarah J TabriziHuntington's Disease Research Centre, Institute of Neurology, University College London, London, United Kingdom.
Hui ZhangDepartment of Computer Science and Centre for Medical Image Computing, University College London, London, United Kingdom.
TrackOn-HD investigators
University College London · GBCentre National de la Recherche Scientifique · FRInserm · FRWellcome Centre for Human Neuroimaging · GB

Funding

Medical Research Council MR/L02053X/1Medical Research Council MR/M009106/1Wellcome TrustWellcome Trust 200181/Z/15/Z
6 · The paper itself

Abstract

objectiveHuntington's disease (HD) is a monogenic, fully penetrant neurodegenerative disorder, providing an ideal model for understanding brain changes occurring in the years prior to disease onset. Diffusion tensor imaging (DTI) studies show widespread white matter disorganization in the early premanifest stages (pre-HD). However, although DTI has proved informative, it provides only limited information about underlying changes in tissue properties. Neurite orientation dispersion and density imaging (NODDI) is a novel magnetic resonance imaging (MRI) technique for characterizing axonal pathology more specifically, providing metrics that separately quantify axonal density and axonal organization. Here, we provide the first in vivo characterization of white matter pathology in pre-HD using NODDI.

methodsDiffusion-weighted MRI data that support DTI and NODDI were acquired from 38 pre-HD and 45 control participants. Using whole-brain and region-of-interest analyses, NODDI metrics were compared between groups and correlated with clinical scores of disease progression. Whole-brain changes in DTI metrics were also examined.

resultsThe pre-HD group displayed widespread reductions in axonal density compared with control participants; this correlated with measures of clinical disease progression in the body and genu of the corpus callosum. There was also evidence in the pre-HD group of increased coherence of axonal packing in the white matter surrounding the basal ganglia.

interpretationOur findings suggest that reduced axonal density is one of the major factors underlying white matter pathology in pre-HD, coupled with altered local organization in areas surrounding the basal ganglia. NODDI metrics show promise in providing more specific information about the biological processes underlying HD and neurodegeneration per se. Ann Neurol 2018;84:497-504.

Indexed as

Prodromal SymptomsAdultAgedBrainDiffusion Tensor ImagingFemaleHumansHuntington DiseaseMaleMiddle AgedWhite Matter

Identifiers

PMID30063250
PMCPMC6221120
OpenAlexW2887241590

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.