A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity

Abstract 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 ma...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yu Takagi, Yuki Sakai, Giuseppe Lisi, Noriaki Yahata, Yoshinari Abe, Seiji Nishida, Takashi Nakamae, Jun Morimoto, Mitsuo Kawato, Jin Narumoto, Saori C Tanaka
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1050f5366cb44d368e179cc993429629
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1050f5366cb44d368e179cc993429629
record_format	dspace
spelling	oai:doaj.org-article:1050f5366cb44d368e179cc9934296292021-12-02T15:04:57ZA Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity10.1038/s41598-017-07792-72045-2322https://doaj.org/article/1050f5366cb44d368e179cc9934296292017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07792-7https://doaj.org/toc/2045-2322Abstract 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.Yu TakagiYuki SakaiGiuseppe LisiNoriaki YahataYoshinari AbeSeiji NishidaTakashi NakamaeJun MorimotoMitsuo KawatoJin NarumotoSaori C TanakaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yu Takagi Yuki Sakai Giuseppe Lisi Noriaki Yahata Yoshinari Abe Seiji Nishida Takashi Nakamae Jun Morimoto Mitsuo Kawato Jin Narumoto Saori C Tanaka A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity
description	Abstract 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	article
author	Yu Takagi Yuki Sakai Giuseppe Lisi Noriaki Yahata Yoshinari Abe Seiji Nishida Takashi Nakamae Jun Morimoto Mitsuo Kawato Jin Narumoto Saori C Tanaka
author_facet	Yu Takagi Yuki Sakai Giuseppe Lisi Noriaki Yahata Yoshinari Abe Seiji Nishida Takashi Nakamae Jun Morimoto Mitsuo Kawato Jin Narumoto Saori C Tanaka
author_sort	Yu Takagi
title	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_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_sort	neural marker of obsessive-compulsive disorder from whole-brain functional connectivity
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/1050f5366cb44d368e179cc993429629
work_keys_str_mv	AT yutakagi aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT yukisakai aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT giuseppelisi aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT noriakiyahata aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT yoshinariabe aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT seijinishida aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT takashinakamae aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT junmorimoto aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT mitsuokawato aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT jinnarumoto aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT saorictanaka aneuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT yutakagi neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT yukisakai neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT giuseppelisi neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT noriakiyahata neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT yoshinariabe neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT seijinishida neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT takashinakamae neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT junmorimoto neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT mitsuokawato neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT jinnarumoto neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity AT saorictanaka neuralmarkerofobsessivecompulsivedisorderfromwholebrainfunctionalconnectivity
_version_	1718388937241657344

A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity

Ejemplares similares