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Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism

Autism postmortem studies have shown various cytoarchitectural anomalies in cortical and limbic areas including increased cell packing density, laminar disorganization, and narrowed minicolumns. However, there is little evidence on dendritic and axonal organization in ASD. Recent imaging techniques...

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Autores principales: Carper, Ruth A., Treiber, Jeffrey M., White, Nathan S., Kohli, Jiwandeep S., Müller, Ralph-Axel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241303/
https://www.ncbi.nlm.nih.gov/pubmed/28149269
http://dx.doi.org/10.3389/fnins.2016.00610
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author Carper, Ruth A.
Treiber, Jeffrey M.
White, Nathan S.
Kohli, Jiwandeep S.
Müller, Ralph-Axel
author_facet Carper, Ruth A.
Treiber, Jeffrey M.
White, Nathan S.
Kohli, Jiwandeep S.
Müller, Ralph-Axel
author_sort Carper, Ruth A.
collection PubMed
description Autism postmortem studies have shown various cytoarchitectural anomalies in cortical and limbic areas including increased cell packing density, laminar disorganization, and narrowed minicolumns. However, there is little evidence on dendritic and axonal organization in ASD. Recent imaging techniques have the potential for non-invasive, in vivo studies of small-scale structure in the human brain, including gray matter. Here, Restriction Spectrum Imaging (RSI), a multi-shell diffusion-weighted imaging technique, was used to examine gray matter microstructure in 24 children with ASD (5 female) and 20 matched typically developing (TD) participants (2 female), ages 7–17 years. RSI extends the spherical deconvolution model to multiple length scales to characterize neurite density (ND) and organization. Measures were examined in 48 cortical regions of interest per hemisphere. To our knowledge, this is the first time that a multi-compartmental diffusion model has been applied to cortical gray matter in ASD. The ND measure detected robust age effects showing a significant positive relationship to age in all lobes except left temporal when groups were combined. Results were also suggestive of group differences (ASD<TD) in anterior cingulate, right superior temporal lobe and much of the parietal lobes, but these fell short of statistical significance. For MD, significant group differences (ASD>TD) in bilateral parietal regions as well as widespread age effects were detected. Our findings support the value of multi-shell diffusion imaging for assays of cortical gray matter. This approach has the potential to add to postmortem literature, examining intracortical organization, intracortical axonal content, myelination, or caliber. Robust age effects further support the validity of the ND metric for in vivo examination of gray matter microstructure in ASD and across development. While diffusion MRI does not approach the precision of histological studies, in vivo imaging measures of microstructure can complement postmortem studies, by allowing access to large sample sizes, a whole-brain field of view, longitudinal designs, and combination with behavioral and functional assays. This makes multi-shell diffusion imaging a promising technique for understanding the underlying cytoarchitecture of the disorder.
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spelling pubmed-52413032017-02-01 Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism Carper, Ruth A. Treiber, Jeffrey M. White, Nathan S. Kohli, Jiwandeep S. Müller, Ralph-Axel Front Neurosci Neuroscience Autism postmortem studies have shown various cytoarchitectural anomalies in cortical and limbic areas including increased cell packing density, laminar disorganization, and narrowed minicolumns. However, there is little evidence on dendritic and axonal organization in ASD. Recent imaging techniques have the potential for non-invasive, in vivo studies of small-scale structure in the human brain, including gray matter. Here, Restriction Spectrum Imaging (RSI), a multi-shell diffusion-weighted imaging technique, was used to examine gray matter microstructure in 24 children with ASD (5 female) and 20 matched typically developing (TD) participants (2 female), ages 7–17 years. RSI extends the spherical deconvolution model to multiple length scales to characterize neurite density (ND) and organization. Measures were examined in 48 cortical regions of interest per hemisphere. To our knowledge, this is the first time that a multi-compartmental diffusion model has been applied to cortical gray matter in ASD. The ND measure detected robust age effects showing a significant positive relationship to age in all lobes except left temporal when groups were combined. Results were also suggestive of group differences (ASD<TD) in anterior cingulate, right superior temporal lobe and much of the parietal lobes, but these fell short of statistical significance. For MD, significant group differences (ASD>TD) in bilateral parietal regions as well as widespread age effects were detected. Our findings support the value of multi-shell diffusion imaging for assays of cortical gray matter. This approach has the potential to add to postmortem literature, examining intracortical organization, intracortical axonal content, myelination, or caliber. Robust age effects further support the validity of the ND metric for in vivo examination of gray matter microstructure in ASD and across development. While diffusion MRI does not approach the precision of histological studies, in vivo imaging measures of microstructure can complement postmortem studies, by allowing access to large sample sizes, a whole-brain field of view, longitudinal designs, and combination with behavioral and functional assays. This makes multi-shell diffusion imaging a promising technique for understanding the underlying cytoarchitecture of the disorder. Frontiers Media S.A. 2017-01-18 /pmc/articles/PMC5241303/ /pubmed/28149269 http://dx.doi.org/10.3389/fnins.2016.00610 Text en Copyright © 2017 Carper, Treiber, White, Kohli and Müller. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Carper, Ruth A.
Treiber, Jeffrey M.
White, Nathan S.
Kohli, Jiwandeep S.
Müller, Ralph-Axel
Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism
title Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism
title_full Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism
title_fullStr Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism
title_full_unstemmed Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism
title_short Restriction Spectrum Imaging As a Potential Measure of Cortical Neurite Density in Autism
title_sort restriction spectrum imaging as a potential measure of cortical neurite density in autism
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241303/
https://www.ncbi.nlm.nih.gov/pubmed/28149269
http://dx.doi.org/10.3389/fnins.2016.00610
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