Evidence map›Paper›PMID 28138427›Full record

ArticleNeuroImage. Clinical2017

Multivariate characterization of white matter heterogeneity in autism spectrum disorder.

D C Dean, N Lange, B G Travers, M B Prigge, N Matsunami, K A Kellett, A Freeman, K L Kane, N Adluru, D P M Tromp and 10 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

13 citing papers in PubMed, 24 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

20 authors at 4 institutions in 1 country.

D C DeanWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
N LangeDepartment of Psychiatry, Harvard School of Medicine, Boston, MA, USA; Child and Adolescent Psychiatry, McLean Hospital, Belmont, MA, USA.
B G TraversWaisman Center, University of Wisconsin-Madison, Madison, WI, USA; Occupational Therapy Program, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, USA.
M B PriggeDepartment of Radiology, University of Utah, Salt Lake City, UT, USA; Department of Pediatrics, University of Utah and Primary Children's Medical Center, Salt Lake City, UT, USA.
N MatsunamiDepartment of Human Genetics, University of Utah, Salt Lake City, UT, USA.
K A KellettWaisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA.
A FreemanWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
K L KaneWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
N AdluruWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
D P M TrompWaisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
D J DesticheWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
D SamsinWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
B A ZielinskiDepartment of Pediatrics, University of Utah and Primary Children's Medical Center, Salt Lake City, UT, USA; Department of Neurology, University of Utah, Salt Lake City, UT, USA.
P T FletcherScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA; School of Computing, University of Utah, Salt Lake City, UT, USA.
J S AndersonDepartment of Radiology, University of Utah, Salt Lake City, UT, USA; Interdepartmental Program in Neuroscience, University of Utah, Salt Lake City, UT, USA.
A L FroehlichSchool of Computing, University of Utah, Salt Lake City, UT, USA.
M F LeppertDepartment of Human Genetics, University of Utah, Salt Lake City, UT, USA.
E D BiglerDepartment of Psychology, Brigham Young University, Provo, UT, USA; Neuroscience Center, Brigham Young University, Provo, UT 84602, USA.
J E LainhartWaisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
A L AlexanderWaisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
University of Wisconsin–Madison · USUniversity of Utah · USBrigham Young University · USMcLean Hospital · US

Funding

WISCONSIN CENTER ON MENTAL RETARDATION: CORE SUPPORTP30HD003352 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI MESSING, ALBEE · 1985 to 2015
$25.2M
Atypical Late Neurodevelopment in Autism: A Longitudinal MRI and DTI StudyR01MH080826 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI LAINHART, JANET ELIZABETH · 2007 to 2020
$6.5M
POSTDOCTORAL TRAINING IN MENTAL RETARDATION RESEARCHT32HD007489 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Sigan L Hartley · 1995 to 2026
$6.0M
Biological Determinants of Brain Variation in AutismR01MH097464 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI LAINHART, JANET ELIZABETH, LANGE, NICHOLAS T · 2013 to 2017
$2.9M
The Microstructural Basis of Abnormal Connectivity in AutismR01MH084795 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI LAINHART, JANET ELIZABETH · 2009 to 2013
$1.9M
Longitudinal Characterization of Functional Connectivity in AutismK08MH092697 · NIMH · UNIVERSITY OF UTAH · PI ANDERSON, JEFFREY · 2011 to 2015
$912k
Brain Network Development in Normal and Autistic ChildrenK08MH100609 · NIMH · UNIVERSITY OF UTAH · PI ZIELINSKI, BRANDON A. · 2014 to 2017
$759k
NICHD NIH HHS P30 HD003352NICHD NIH HHS T32 HD007489NIMH NIH HHS K08 MH092697NIMH NIH HHS K08 MH100609NIMH NIH HHS R01 MH080826NIMH NIH HHS R01 MH084795NIMH NIH HHS R01 MH097464
6 · The paper itself

Abstract

The complexity and heterogeneity of neuroimaging findings in individuals with autism spectrum disorder has suggested that many of the underlying alterations are subtle and involve many brain regions and networks. The ability to account for multivariate brain features and identify neuroimaging measures that can be used to characterize individual variation have thus become increasingly important for interpreting and understanding the neurobiological mechanisms of autism. In the present study, we utilize the Mahalanobis distance, a multidimensional counterpart of the Euclidean distance, as an informative index to characterize individual brain variation and deviation in autism. Longitudinal diffusion tensor imaging data from 149 participants (92 diagnosed with autism spectrum disorder and 57 typically developing controls) between 3.1 and 36.83 years of age were acquired over a roughly 10-year period and used to construct the Mahalanobis distance from regional measures of white matter microstructure. Mahalanobis distances were significantly greater and more variable in the autistic individuals as compared to control participants, demonstrating increased atypicalities and variation in the group of individuals diagnosed with autism spectrum disorder. Distributions of multivariate measures were also found to provide greater discrimination and more sensitive delineation between autistic and typically developing individuals than conventional univariate measures, while also being significantly associated with observed traits of the autism group. These results help substantiate autism as a truly heterogeneous neurodevelopmental disorder, while also suggesting that collectively considering neuroimaging measures from multiple brain regions provides improved insight into the diversity of brain measures in autism that is not observed when considering the same regions separately. Distinguishing multidimensional brain relationships may thus be informative for identifying neuroimaging-based phenotypes, as well as help elucidate underlying neural mechanisms of brain variation in autism spectrum disorders.

Indexed as

AdolescentAdultAnisotropyAutism Spectrum DisorderChildChild, PreschoolDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedLongitudinal StudiesMaleNeural PathwaysWhite MatterYoung AdultAutism spectrum disorderBrain variabilityDiffusion tensor imagingMahalanobis distanceWhite matter microstructure

Identifiers

PMID28138427
PMCPMC5257193
OpenAlexW2569203881

What OpenQuestion holds

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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.