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A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity
Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2–3%. Recently, brain activity in the resting state is gathering attention for exploring altered functional connectivity in psychiatric disorders. Although previous resting-state functional magnetic re...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548868/ https://www.ncbi.nlm.nih.gov/pubmed/28790433 http://dx.doi.org/10.1038/s41598-017-07792-7 |
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author | Takagi, Yu Sakai, Yuki Lisi, Giuseppe Yahata, Noriaki Abe, Yoshinari Nishida, Seiji Nakamae, Takashi Morimoto, Jun Kawato, Mitsuo Narumoto, Jin Tanaka, Saori C |
author_facet | Takagi, Yu Sakai, Yuki Lisi, Giuseppe Yahata, Noriaki Abe, Yoshinari Nishida, Seiji Nakamae, Takashi Morimoto, Jun Kawato, Mitsuo Narumoto, Jin Tanaka, Saori C |
author_sort | Takagi, Yu |
collection | PubMed |
description | Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2–3%. Recently, brain activity in the resting state is gathering attention for exploring altered functional connectivity in psychiatric disorders. Although previous resting-state functional magnetic resonance imaging studies investigated the neurobiological abnormalities of patients with OCD, there are concerns that should be addressed. One concern is the validity of the hypothesis employed. Most studies used seed-based analysis of the fronto-striatal circuit, despite the potential for abnormalities in other regions. A hypothesis-free study is a promising approach in such a case, while it requires researchers to handle a dataset with large dimensions. Another concern is the reliability of biomarkers derived from a single dataset, which may be influenced by cohort-specific features. Here, our machine learning algorithm identified an OCD biomarker that achieves high accuracy for an internal dataset (AUC = 0.81; N = 108) and demonstrates generalizability to an external dataset (AUC = 0.70; N = 28). Our biomarker was unaffected by medication status, and the functional networks contributing to the biomarker were distributed widely, including the frontoparietal and default mode networks. Our biomarker has the potential to deepen our understanding of OCD and to be applied clinically. |
format | Online Article Text |
id | pubmed-5548868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55488682017-08-09 A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity Takagi, Yu Sakai, Yuki Lisi, Giuseppe Yahata, Noriaki Abe, Yoshinari Nishida, Seiji Nakamae, Takashi Morimoto, Jun Kawato, Mitsuo Narumoto, Jin Tanaka, Saori C Sci Rep Article Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2–3%. Recently, brain activity in the resting state is gathering attention for exploring altered functional connectivity in psychiatric disorders. Although previous resting-state functional magnetic resonance imaging studies investigated the neurobiological abnormalities of patients with OCD, there are concerns that should be addressed. One concern is the validity of the hypothesis employed. Most studies used seed-based analysis of the fronto-striatal circuit, despite the potential for abnormalities in other regions. A hypothesis-free study is a promising approach in such a case, while it requires researchers to handle a dataset with large dimensions. Another concern is the reliability of biomarkers derived from a single dataset, which may be influenced by cohort-specific features. Here, our machine learning algorithm identified an OCD biomarker that achieves high accuracy for an internal dataset (AUC = 0.81; N = 108) and demonstrates generalizability to an external dataset (AUC = 0.70; N = 28). Our biomarker was unaffected by medication status, and the functional networks contributing to the biomarker were distributed widely, including the frontoparietal and default mode networks. Our biomarker has the potential to deepen our understanding of OCD and to be applied clinically. Nature Publishing Group UK 2017-08-08 /pmc/articles/PMC5548868/ /pubmed/28790433 http://dx.doi.org/10.1038/s41598-017-07792-7 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Takagi, Yu Sakai, Yuki Lisi, Giuseppe Yahata, Noriaki Abe, Yoshinari Nishida, Seiji Nakamae, Takashi Morimoto, Jun Kawato, Mitsuo Narumoto, Jin Tanaka, Saori C A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity |
title | A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity |
title_full | A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity |
title_fullStr | A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity |
title_full_unstemmed | A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity |
title_short | A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity |
title_sort | neural marker of obsessive-compulsive disorder from whole-brain functional connectivity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548868/ https://www.ncbi.nlm.nih.gov/pubmed/28790433 http://dx.doi.org/10.1038/s41598-017-07792-7 |
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