Unique ID issued by UMIN | UMIN000045175 |
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Receipt number | R000051597 |
Scientific Title | A study exploring new biomarkers by measuring the rest-activity rhythms of patients with schizophrenia and mood disorders |
Date of disclosure of the study information | 2021/08/18 |
Last modified on | 2023/05/02 13:57:13 |
A study exploring new biomarkers by measuring the rest-activity rhythms of patients with schizophrenia and mood disorders
A study exploring new biomarkers by measuring the rest-activity rhythms of patients with schizophrenia and mood disorders
A study exploring new biomarkers by measuring the rest-activity rhythms of patients with schizophrenia and mood disorders
A study exploring new biomarkers by measuring the rest-activity rhythms of patients with schizophrenia and mood disorders
Japan |
Schizophrenia and mood disorders
Psychiatry |
Others
NO
Extraction of rest-activity rhythm characteristics in schizophrenia and mood disorders
Others
Developing the diagnostic marker and elucidation of the pathophysiology
Statistical characteristics of rest-activity rhythm
Observational
20 | years-old | <= |
65 | years-old | > |
Male and Female
-Patients with schizophrenia and mood disorders (bipolar 1 disorder, bipolar 2 disorder, major depressive disorder) who are visiting Fujita Health University Hospital
-Patients with schizophrenia and mood disorders who participated in previous studies regarding rest-activity rhythm using actigraphy (retrospective use of data)
-Patients with prominent suicidal ideation
-Patients with depression apparently due to personality disorder
-Patients judged to be inappropriate by researchers
90
1st name | TSUYOSHI |
Middle name | |
Last name | KITAJIMA |
Fujita Health University, School of Medicine
Department of Psychiatry
470-1192
1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, JAPAN
0562-93-9250
tsuyoshi@fujita-hu.ac.jp
1st name | TSUYOSHI |
Middle name | |
Last name | KITAJIMA |
Fujita Health University, School of Medicine
Department of Psychiatry
470-1192
1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, JAPAN
0562-93-9250
tsuyoshi@fujita-hu.ac.jp
Fujita Health University
Fujita Health University
Other
The ethics committee of Fujita Health University
1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, JAPAN
0562-93-2865
r-irb@fujita-hu.ac.jp
NO
2021 | Year | 08 | Month | 18 | Day |
Unpublished
Suspended
2020 | Year | 06 | Month | 03 | Day |
2020 | Year | 06 | Month | 03 | Day |
2021 | Year | 08 | Month | 17 | Day |
2025 | Year | 03 | Month | 31 | Day |
The collected data will be analyzed for higher- and finer-order fluctuations that characterize diurnal variation and circadian rhythms using the latest machine learning methods such as deep learning, transfer learning, and data expansion, and the possibility of characterizing pathological conditions will be examined and evaluated.
2021 | Year | 08 | Month | 17 | Day |
2023 | Year | 05 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000051597
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