Evidence map›Paper›PMID 34193257›Full record

ArticleMolecular autism2021

Neurite orientation dispersion and density imaging reveals white matter microstructural alterations in adults with autism.

Christina Andica, Koji Kamagata, Eiji Kirino, Wataru Uchida, Ryusuke Irie, Syo Murata, Shigeki Aoki

Open access · goldAbstract read
In one paragraph

Article in Molecular autism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
4.2field-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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies.Autism research : official journal of the International Society for Autism Research · 2022
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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

7 authors at 1 institution in 1 country.

Christina AndicaDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan. christina@juntendo.ac.jp.ORCID 0000-0002-9339-6950
Koji KamagataDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Eiji KirinoDepartment of Psychiatry, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Wataru UchidaDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Ryusuke IrieDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Syo MurataDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Shigeki AokiDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidences suggesting the association between behavioral anomalies in autism and white matter (WM) microstructural alterations are increasing. Diffusion tensor imaging (DTI) is widely used to infer tissue microstructure. However, due to its lack of specificity, the underlying pathology of reported differences in DTI measures in autism remains poorly understood. Herein, we applied neurite orientation dispersion and density imaging (NODDI) to quantify and define more specific causes of WM microstructural changes associated with autism in adults.

methodsNODDI (neurite density index [NDI], orientation dispersion index, and isotropic volume fraction [ISOVF]) and DTI (fractional anisotropy [FA], mean diffusivity [MD], axial diffusivity, and radial diffusivity [RD]) measures were compared between autism (N = 26; 19 males and 7 females; 32.93 ± 9.24 years old) and age- and sex-matched typically developing (TD; N = 25; 17 males and 8 females; 34.43 ± 9.02 years old) groups using tract-based spatial statistics and region-of-interest analyses. Linear discriminant analysis using leave-one-out cross-validation (LDA-LOOCV) was also performed to assess the discriminative power of diffusion measures in autism and TD.

resultsSignificantly lower NDI and higher ISOVF, suggestive of decreased neurite density and increased extracellular free-water, respectively, were demonstrated in the autism group compared with the TD group, mainly in commissural and long-range association tracts, but with distinct predominant sides. Consistent with previous reports, the autism group showed lower FA and higher MD and RD when compared with TD group. Notably, LDA-LOOCV suggests that NDI and ISOVF have relatively higher accuracy (82%) and specificity (NDI, 84%; ISOVF, 88%) compared with that of FA, MD, and RD (accuracy, 67-73%; specificity, 68-80%). LIMITATIONS: The absence of histopathological confirmation limit the interpretation of our findings.

conclusionsOur results suggest that NODDI measures might be useful as imaging biomarkers to diagnose autism in adults and assess its behavioral characteristics. Furthermore, NODDI allows interpretation of previous findings on changes in WM diffusion tensor metrics in individuals with autism.

Indexed as

Autistic DisorderWhite MatterAdultBrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansMaleNeuritesYoung AdultAutismDiffusion tensor imagingLinear discriminant analysisNeurite orientation dispersion and density imagingNeuroinflammationNeuronal lossRegion-of-interestTract-based spatial statisticsWhite matter microstructure

Identifiers

PMID34193257
PMCPMC8247240
OpenAlexW3175797264

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.