Cited by 31Advanced Neuroimaging Techniques and ApplicationsGenetic Syndromes and ImprintingGenomic variations and chromosomal abnormalities

Relationship between aberrant brain connectivity and clinical features in Angelman Syndrome: A new method using tract based spatial statistics of DTI color-coded orientation maps

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Tiwari, Vijay N., Jeong, Jeong-won, Wilson, Benjamin J., Behen, Michael E., Chugani, Harry T., Sundaram, Senthil K.·2012·NeuroImage

Abstract

Aim In order to relate brain structural abnormalities to clinical features of Angelman Syndrome (AS), we determined the locations of abnormal regional white matter architecture in AS children using a sensitive and objective whole brain approach to analyze diffusion tensor imaging (DTI) color-coded orientation maps.Methods Using tract based spatial statistics (TBSS) of DTI color-coded orientation maps, the fraction of fibers oriented in the anteroposterior (AP), mediolateral (ML) and superioinferior (SI) directions were determined in whole brain white matter of 7 children with AS (mean age: 70±25.78 months, 5 males) and 7 children with typical development (TD, mean age: 79.8±17.25 months, 4 males). TBSS of FA map was also performed for comparison.Results Children with AS had a significantly lower AP component than the TD group in 9 clusters (3 bilateral and 3 unilateral). Bilateral clusters were located in inferior fronto-occipital fasciculus, anterior thalamic radiation and arcuate fasciculus regions. Unilateral clusters involved left brainstem, left cingulum and right uncinate regions. Similarly, children with AS had significantly lower ML component than the TD group in 4 clusters (2 in corpus callosum and 2 unilateral clusters). Unilateral clusters were located in the left cingulum and left anterior thalamic radiation regions. SI component was lower in children with AS in two clusters compared to TD (corticospinal tract and corpus callosum). FA map clusters mostly corresponded with component clusters.Interpretation Children with AS have a global impairment of white matter integrity including AP, ML and SI components in whole brain suggesting a potential underlying error with axon guidance mechanisms during brain development possibly due to loss of UBE3A gene expression. Some of this aberrant connectivity can be related to the clinical features of AS.

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Crossref · 10.1016/j.neuroimage.2011.07.067

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  • MRI and diffusion tensor imaging studies have revealed impaired white matter integrity in subjects with Angelman syndrome, likely due to a delay in myelination.

    “MRI and diffusion tensor imaging studies have revealed impaired white matter integrity in subjects with Angelman’s syndrome [281, 354, 388], likely due to a delay in myelination [146].”

    From Autism spectrum disorder: neuropathology and animal models (2017) · cites this paper as [354]

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  1. Raven Raven JC Court JH Raven J Section 2: Coloured Progressive Matrices (1990 Edition, with US Norms), Manual for the Raven’s Progressive Matrices and Vocabulary Scales 1990 Oxford Psychologist Press Oxford 1990
  2. Wechsler D Wechsler Preschool and Primary Scale of Intelligence 2002 Psychological Corporation San Antonio, TX 3rd edition (WPPSI III)
  3. Wechsler D Wechsler Intelligence Scale for Children-Fourth Edition: Administrative and scoring manual 2003 The Psychological Corporation San Antonio, TX
  4. Wilson BJ Sundaram SK Huq AHMM Abnormal Language Pathway in Children with Angelman Syndrome: A Diffusion Tensor Imaging (DTI) Study Annals of neurology 2009 66 109 109

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Authors
Tiwari, V. N., Jeong, J.-W., Wilson, B. J., Behen, M. E., Chugani, H. T., & Sundaram, S. K.
Affiliations
Wayne State University (US)
Corresponding author
Sundaram, Senthil K.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2012-01
Volume
59
Issue
1
Pages
349-355
ISSN
1053-8119 (ISSN-L)
OpenAlex
W1984339043
Cited by
31
References
32
Citations by year
2025: 1 · 2024: 2 · 2023: 1 · 2021: 5 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 4 · 2015: 1 · 2014: 3 · 2013: 3 · 2012: 1
FWCI
1.71
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD059817)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Syndromes and Imprinting
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
Keywords
Angelman syndrome, white matter integrity, brain connectivity, diffusion tensor imaging, tract-based spatial statistics, inferior fronto-occipital fasciculus, anterior thalamic radiation, arcuate fasciculus, corpus callosum, axon guidance, UBE3A
MeSH terms
Brain, Brain Mapping, Child, Child, Preschool, Female, Humans, Image Interpretation, Computer-Assisted, Male, Neural Pathways, Angelman Syndrome, Diffusion Tensor Imaging

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