Cargando…

Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol

BACKGROUND: Although many studies have reported the biological basis of major depressive disorder (MDD), none have been put into practical use. Recently, we developed a generalizable brain network marker for MDD diagnoses (diagnostic marker) across multiple imaging sites using resting-state function...

Descripción completa

Detalles Bibliográficos
Autores principales: Okada, Go, Sakai, Yuki, Shibakawa, Maki, Yoshioka, Toshinori, Itai, Eri, Shinzato, Hotaka, Yamamoto, Osamu, Kurata, Kenichi, Tamura, Tatsuji, Jitsuiki, Hiroaki, Yamashita, Hidehisa, Mantani, Akio, Yokota, Norio, Kawato, Mitsuo, Okamoto, Yasumasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875439/
https://www.ncbi.nlm.nih.gov/pubmed/36694153
http://dx.doi.org/10.1186/s12888-023-04560-y
_version_ 1784877961303818240
author Okada, Go
Sakai, Yuki
Shibakawa, Maki
Yoshioka, Toshinori
Itai, Eri
Shinzato, Hotaka
Yamamoto, Osamu
Kurata, Kenichi
Tamura, Tatsuji
Jitsuiki, Hiroaki
Yamashita, Hidehisa
Mantani, Akio
Yokota, Norio
Kawato, Mitsuo
Okamoto, Yasumasa
author_facet Okada, Go
Sakai, Yuki
Shibakawa, Maki
Yoshioka, Toshinori
Itai, Eri
Shinzato, Hotaka
Yamamoto, Osamu
Kurata, Kenichi
Tamura, Tatsuji
Jitsuiki, Hiroaki
Yamashita, Hidehisa
Mantani, Akio
Yokota, Norio
Kawato, Mitsuo
Okamoto, Yasumasa
author_sort Okada, Go
collection PubMed
description BACKGROUND: Although many studies have reported the biological basis of major depressive disorder (MDD), none have been put into practical use. Recently, we developed a generalizable brain network marker for MDD diagnoses (diagnostic marker) across multiple imaging sites using resting-state functional magnetic resonance imaging (rs-fMRI). We have planned this clinical trial to establish evidence for the practical applicability of this diagnostic marker as a medical device. In addition, we have developed generalizable brain network markers for MDD stratification (stratification markers), and the verification of these brain network markers is a secondary endpoint of this study. METHODS: This is a non-randomized, open-label study involving patients with MDD and healthy controls (HCs). We will prospectively acquire rs-fMRI data from 50 patients with MDD and 50 HCs and anterogradely verify whether our diagnostic marker can distinguish between patients with MDD and HCs. Furthermore, we will longitudinally obtain rs-fMRI and clinical data at baseline and 6 weeks later in 80 patients with MDD treated with escitalopram and verify whether it is possible to prospectively distinguish MDD subtypes that are expected to be effectively responsive to escitalopram using our stratification markers. DISCUSSION: In this study, we will confirm that sufficient accuracy of the diagnostic marker could be reproduced for data from a prospective clinical study. Using longitudinally obtained data, we will also examine whether the “brain network marker for MDD diagnosis” reflects treatment effects in patients with MDD and whether treatment effects can be predicted by “brain network markers for MDD stratification”. Data collected in this study will be extremely important for the clinical application of the brain network markers for MDD diagnosis and stratification. TRIAL REGISTRATION: Japan Registry of Clinical Trials (jRCTs062220063). Registered 12/10/2022.
format Online
Article
Text
id pubmed-9875439
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-98754392023-01-26 Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol Okada, Go Sakai, Yuki Shibakawa, Maki Yoshioka, Toshinori Itai, Eri Shinzato, Hotaka Yamamoto, Osamu Kurata, Kenichi Tamura, Tatsuji Jitsuiki, Hiroaki Yamashita, Hidehisa Mantani, Akio Yokota, Norio Kawato, Mitsuo Okamoto, Yasumasa BMC Psychiatry Study Protocol BACKGROUND: Although many studies have reported the biological basis of major depressive disorder (MDD), none have been put into practical use. Recently, we developed a generalizable brain network marker for MDD diagnoses (diagnostic marker) across multiple imaging sites using resting-state functional magnetic resonance imaging (rs-fMRI). We have planned this clinical trial to establish evidence for the practical applicability of this diagnostic marker as a medical device. In addition, we have developed generalizable brain network markers for MDD stratification (stratification markers), and the verification of these brain network markers is a secondary endpoint of this study. METHODS: This is a non-randomized, open-label study involving patients with MDD and healthy controls (HCs). We will prospectively acquire rs-fMRI data from 50 patients with MDD and 50 HCs and anterogradely verify whether our diagnostic marker can distinguish between patients with MDD and HCs. Furthermore, we will longitudinally obtain rs-fMRI and clinical data at baseline and 6 weeks later in 80 patients with MDD treated with escitalopram and verify whether it is possible to prospectively distinguish MDD subtypes that are expected to be effectively responsive to escitalopram using our stratification markers. DISCUSSION: In this study, we will confirm that sufficient accuracy of the diagnostic marker could be reproduced for data from a prospective clinical study. Using longitudinally obtained data, we will also examine whether the “brain network marker for MDD diagnosis” reflects treatment effects in patients with MDD and whether treatment effects can be predicted by “brain network markers for MDD stratification”. Data collected in this study will be extremely important for the clinical application of the brain network markers for MDD diagnosis and stratification. TRIAL REGISTRATION: Japan Registry of Clinical Trials (jRCTs062220063). Registered 12/10/2022. BioMed Central 2023-01-24 /pmc/articles/PMC9875439/ /pubmed/36694153 http://dx.doi.org/10.1186/s12888-023-04560-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Study Protocol
Okada, Go
Sakai, Yuki
Shibakawa, Maki
Yoshioka, Toshinori
Itai, Eri
Shinzato, Hotaka
Yamamoto, Osamu
Kurata, Kenichi
Tamura, Tatsuji
Jitsuiki, Hiroaki
Yamashita, Hidehisa
Mantani, Akio
Yokota, Norio
Kawato, Mitsuo
Okamoto, Yasumasa
Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol
title Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol
title_full Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol
title_fullStr Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol
title_full_unstemmed Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol
title_short Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol
title_sort examining the usefulness of the brain network marker program using fmri for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875439/
https://www.ncbi.nlm.nih.gov/pubmed/36694153
http://dx.doi.org/10.1186/s12888-023-04560-y
work_keys_str_mv AT okadago examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT sakaiyuki examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT shibakawamaki examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT yoshiokatoshinori examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT itaieri examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT shinzatohotaka examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT yamamotoosamu examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT kuratakenichi examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT tamuratatsuji examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT jitsuikihiroaki examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT yamashitahidehisa examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT mantaniakio examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT yokotanorio examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT kawatomitsuo examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol
AT okamotoyasumasa examiningtheusefulnessofthebrainnetworkmarkerprogramusingfmriforthediagnosisandstratificationofmajordepressivedisorderanonrandomizedstudyprotocol