| Autor: |
Go Okada, Yuki Sakai, Maki Shibakawa, Toshinori Yoshioka, Eri Itai, Hotaka Shinzato, Osamu Yamamoto, Kenichi Kurata, Tatsuji Tamura, Hiroaki Jitsuiki, Hidehisa Yamashita, Akio Mantani, Norio Yokota, Mitsuo Kawato, Yasumasa Okamoto |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
BMC Psychiatry, Vol 23, Iss 1, Pp 1-8 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1471-244X |
| DOI: |
10.1186/s12888-023-04560-y |
| Popis: |
Abstract 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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