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Name:
UMIN ID:

Recruitment status Enrolling by invitation
Unique ID issued by UMIN UMIN000038758
Receipt No. R000044180
Scientific Title Longitudinal MRI study Identifying the Neural Substrates of Remission/Recovery in Mood Disorders
Date of disclosure of the study information 2019/12/02
Last modified on 2019/12/02

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Basic information
Public title Longitudinal MRI study Identifying the Neural Substrates of Remission/Recovery in Mood Disorders
Acronym L/R Study
Scientific Title Longitudinal MRI study Identifying the Neural Substrates of Remission/Recovery in Mood Disorders
Scientific Title:Acronym L/R Study
Region
Japan

Condition
Condition Major depressive disorder
Classification by specialty
Psychiatry
Classification by malignancy Others
Genomic information NO

Objectives
Narrative objectives1 The aims of this study are (1) to investigate the underlying biological mechanisms of representative treatments for depressive state (i.e. pharmacological treatment, cognitive behavioral therapy (CBT), repetitive transcranial magnetic stimulation (rTMS), and electroconvulsive therapy (ECT)) and (2) to elucidate biological predictors for each treatment.
Basic objectives2 Others
Basic objectives -Others We examine brain functional or structural alterations with clinical improvements in four therapeutic interventions and identify the neural networks specific to treatment response in each treatment.
By applying a machine learning technique to individual data including MRI, their background, and clinical data, we aim to develop a novel model that accurately predicts treatment response and course trajectory in mood disorders.
Trial characteristics_1
Trial characteristics_2
Developmental phase

Assessment
Primary outcomes brain structural and functional data based on 3D-T1 imaging (sMRI) and resting-state functional MRI (rs-fMRI)
Key secondary outcomes

Base
Study type Observational

Study design
Basic design
Randomization
Randomization unit
Blinding
Control
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment

Intervention
No. of arms
Purpose of intervention
Type of intervention
Interventions/Control_1
Interventions/Control_2
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10

Eligibility
Age-lower limit
20 years-old <=
Age-upper limit
85 years-old >=
Gender Male and Female
Key inclusion criteria Inclusion criteria were as follows: those who 1)who met the criteria for a major depressive disorder according to DSM-5, 2) who were scheduled to undergo electroconvulsive therapy or CBT or psychopharmaco thearapy or TMS,3)who showed more than 8 point on the Hamilton Rating Scale for Depression.
Key exclusion criteria Exclusion criteria were as follows: those who 1) had a lifetime history of drug or alcohol misuse, 2) who show manic episodes, 3) who have suicidal ideation, 4) antisocial personality Disorder, 5)reported an unstable medical condition or history of significant head trauma, 6) who had implanted metal in the body, 7) who had claustrophobia
Target sample size 500

Research contact person
Name of lead principal investigator
1st name Masaru
Middle name
Last name Mimura,
Organization Keio University, School of Medicine
Division name Psychiatry
Zip code 160-0016
Address 35 Sinanomachi Shinjyuku Tokyo
TEL 03-5379-0187
Email mimura@a7.keio.jp

Public contact
Name of contact person
1st name Jinichi
Middle name
Last name Hirano
Organization Keio University, School of Medicine
Division name Psychiatry
Zip code 160-0016
Address 35 Sinanomachi Shinjyuku Tokyo
TEL 03-5379-0187
Homepage URL
Email hjinichi@gmail.com

Sponsor
Institute Keio University
Institute
Department

Funding Source
Organization Japan Agency for Medical Research and Development (AMED)
Organization
Division
Category of Funding Organization Japanese Governmental office
Nationality of Funding Organization

Other related organizations
Co-sponsor
Name of secondary funder(s)

IRB Contact (For public release)
Organization Research Ethics Committee of Keio university, school of medicine
Address 35 Sinanomachi Shinjyuku Tokyo
Tel +81.3.3353.1211(x62014)
Email med-rinri-jimu@adst.keio.ac.jp

Secondary IDs
Secondary IDs NO
Study ID_1
Org. issuing International ID_1
Study ID_2
Org. issuing International ID_2
IND to MHLW

Institutions
Institutions

Other administrative information
Date of disclosure of the study information
2019 Year 12 Month 02 Day

Related information
URL releasing protocol
Publication of results Unpublished

Result
URL related to results and publications
Number of participants that the trial has enrolled
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description

Progress
Recruitment status Enrolling by invitation
Date of protocol fixation
2019 Year 11 Month 25 Day
Date of IRB
2019 Year 11 Month 25 Day
Anticipated trial start date
2019 Year 12 Month 02 Day
Last follow-up date
2024 Year 03 Month 31 Day
Date of closure to data entry
Date trial data considered complete
Date analysis concluded

Other
Other related information In the current study, we performed a large scale, multi-site(Keio University, Kyoto University, National center of Neurology and psychiatry), longitudinal magnetic resonance imaging (MRI) study to investigate the neural substrates of remission/recovery, and to identify a prediction model for treatment (pharmacotherapy, CBT, rTMS, and ECT) response/relapse in mood disorder patients.
MRI scans and clinical evaluation are conducted three times, pre/post treats,ent, and 6 months after treatment.

Management information
Registered date
2019 Year 12 Month 02 Day
Last modified on
2019 Year 12 Month 02 Day


Link to view the page
URL(English) https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000044180

Research Plan
Registered date File name

Research case data specifications
Registered date File name

Research case data
Registered date File name


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