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The Autism Phenome Project: Toward Identifying Clinically Meaningful Subgroups of Autism
One of the most universally accepted facts about autism is that it is heterogenous. Individuals diagnosed with autism spectrum disorder have a wide range of behavioral presentations and a variety of co-occurring medical and mental health conditions. The identification of more homogenous subgroups is...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801875/ https://www.ncbi.nlm.nih.gov/pubmed/35110990 http://dx.doi.org/10.3389/fnins.2021.786220 |
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author | Nordahl, Christine Wu Andrews, Derek Sayre Dwyer, Patrick Waizbard-Bartov, Einat Restrepo, Bibiana Lee, Joshua K. Heath, Brianna Saron, Clifford Rivera, Susan M. Solomon, Marjorie Ashwood, Paul Amaral, David G. |
author_facet | Nordahl, Christine Wu Andrews, Derek Sayre Dwyer, Patrick Waizbard-Bartov, Einat Restrepo, Bibiana Lee, Joshua K. Heath, Brianna Saron, Clifford Rivera, Susan M. Solomon, Marjorie Ashwood, Paul Amaral, David G. |
author_sort | Nordahl, Christine Wu |
collection | PubMed |
description | One of the most universally accepted facts about autism is that it is heterogenous. Individuals diagnosed with autism spectrum disorder have a wide range of behavioral presentations and a variety of co-occurring medical and mental health conditions. The identification of more homogenous subgroups is likely to lead to a better understanding of etiologies as well as more targeted interventions and treatments. In 2006, we initiated the UC Davis MIND Institute Autism Phenome Project (APP) with the overarching goal of identifying clinically meaningful subtypes of autism. This ongoing longitudinal multidisciplinary study now includes over 400 children and involves comprehensive medical, behavioral, and neuroimaging assessments from early childhood through adolescence (2–19 years of age). We have employed several strategies to identify sub-populations within autistic individuals: subgrouping by neural, biological, behavioral or clinical characteristics as well as by developmental trajectories. In this Mini Review, we summarize findings to date from the APP cohort and describe progress made toward identifying meaningful subgroups of autism. |
format | Online Article Text |
id | pubmed-8801875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88018752022-02-01 The Autism Phenome Project: Toward Identifying Clinically Meaningful Subgroups of Autism Nordahl, Christine Wu Andrews, Derek Sayre Dwyer, Patrick Waizbard-Bartov, Einat Restrepo, Bibiana Lee, Joshua K. Heath, Brianna Saron, Clifford Rivera, Susan M. Solomon, Marjorie Ashwood, Paul Amaral, David G. Front Neurosci Neuroscience One of the most universally accepted facts about autism is that it is heterogenous. Individuals diagnosed with autism spectrum disorder have a wide range of behavioral presentations and a variety of co-occurring medical and mental health conditions. The identification of more homogenous subgroups is likely to lead to a better understanding of etiologies as well as more targeted interventions and treatments. In 2006, we initiated the UC Davis MIND Institute Autism Phenome Project (APP) with the overarching goal of identifying clinically meaningful subtypes of autism. This ongoing longitudinal multidisciplinary study now includes over 400 children and involves comprehensive medical, behavioral, and neuroimaging assessments from early childhood through adolescence (2–19 years of age). We have employed several strategies to identify sub-populations within autistic individuals: subgrouping by neural, biological, behavioral or clinical characteristics as well as by developmental trajectories. In this Mini Review, we summarize findings to date from the APP cohort and describe progress made toward identifying meaningful subgroups of autism. Frontiers Media S.A. 2022-01-17 /pmc/articles/PMC8801875/ /pubmed/35110990 http://dx.doi.org/10.3389/fnins.2021.786220 Text en Copyright © 2022 Nordahl, Andrews, Dwyer, Waizbard-Bartov, Restrepo, Lee, Heath, Saron, Rivera, Solomon, Ashwood and Amaral. https://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) and the copyright owner(s) 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 Nordahl, Christine Wu Andrews, Derek Sayre Dwyer, Patrick Waizbard-Bartov, Einat Restrepo, Bibiana Lee, Joshua K. Heath, Brianna Saron, Clifford Rivera, Susan M. Solomon, Marjorie Ashwood, Paul Amaral, David G. The Autism Phenome Project: Toward Identifying Clinically Meaningful Subgroups of Autism |
title | The Autism Phenome Project: Toward Identifying Clinically Meaningful Subgroups of Autism |
title_full | The Autism Phenome Project: Toward Identifying Clinically Meaningful Subgroups of Autism |
title_fullStr | The Autism Phenome Project: Toward Identifying Clinically Meaningful Subgroups of Autism |
title_full_unstemmed | The Autism Phenome Project: Toward Identifying Clinically Meaningful Subgroups of Autism |
title_short | The Autism Phenome Project: Toward Identifying Clinically Meaningful Subgroups of Autism |
title_sort | autism phenome project: toward identifying clinically meaningful subgroups of autism |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801875/ https://www.ncbi.nlm.nih.gov/pubmed/35110990 http://dx.doi.org/10.3389/fnins.2021.786220 |
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