Unique ID issued by UMIN | UMIN000051736 |
---|---|
Receipt number | R000059046 |
Scientific Title | Dream Emotion Recognition during Sleep Using High Density Electroencephalogram Signals |
Date of disclosure of the study information | 2023/07/28 |
Last modified on | 2024/06/07 12:25:29 |
Dream Emotion Recognition during Sleep Using High Density Electroencephalogram Signals
Dream Emotion Recognition
Dream Emotion Recognition during Sleep Using High Density Electroencephalogram Signals
Dream Emotion Recognition
Japan |
Healty adults
Adult |
Others
NO
This study aimed to improve our understanding of the neural mechanisms involved in the emotional content of dreams and provide a new experimental protocol in the field of dream research to obtain the emotional content of dreams.
Others
Model Evaluation in Machine Learning
The F-score is utilized to evaluate the predictive performance of the machine learning model on the emotional valence and arousal of dreams containing emotions.
Interventional
Single arm
Non-randomized
Open -no one is blinded
Uncontrolled
1
Diagnosis
Behavior,custom |
Presentation of emotional videos and dream recall during sleep
19 | years-old | <= |
35 | years-old | >= |
Male and Female
-Those who can read and write documents in English and have no difficulty speaking English.
-Those who could stay in the laboratory on the fifth floor of the University of Tsukuba Medical Innovation Medical Research Institute.
1. Individuals with an irregular lifestyle, characterized by deviating sleep patterns from the conventional schedule of going to bed between 9 PM and 1 AM and waking up between 6 AM and 9 AM
2. Underweight (BMI less than 18.5) or overweight (BMI greater than 25)
3. Worked night shift (after 10 PM) within the past 3 months
4. Traveled to a country with a time difference of more than 3 h within the past 3 months
5. Habitual alcohol drinkers (more than 40 g of pure alcohol [approximately two cans of beer] at least twice per week).
6. Smoking habituated
7. Consume more than 300 mg of caffeine daily (approximately five cups of 150 mL coffee).
8. Individuals with a score of 38 or more on the Trait Anxiety Scale of the State Trait Anxiety Inventory (STAI)
9. Individuals with a score of 14 or more on the Beck Depression Inventory (BDI II)
10. Individuals with a score of 6 or more on the Pittsburgh Sleep Quality Index
11. Have claustrophobia.
12. Pregnant or possibly pregnant women
13. Breastfeeding individuals
14. Have an illness or a history of an illness with the potential for sudden changes
15. Patients who have received treatment for psychiatric symptoms or sleep disorders or who currently have symptoms and are subject to treatment. Individuals who have previously or are currently taking prescription medication for mental disorders or sleep disorders. Individuals who meet all the selection criteria and do not fall under the exclusion criteria 1 to 14 will be referred to a psychiatrist. The psychiatrist will make the decision regarding participation in the experiment based on the screening information. Additionally, if required, we may conduct interviews, and individuals deemed unsuitable will be excluded from the study.
30
1st name | Takashi |
Middle name | |
Last name | Abe |
University of Tsukuba
International Institute for Integrative Sleep Medicine
305-8550
1-2 Kasuga, Tsukuba, Ibaraki
029-859-1469
abe.takashi.gp@u.tsukuba.ac.jp
1st name | Takashi |
Middle name | |
Last name | Abe |
University of Tsukuba
International Institute for Integrative Sleep Medicine
305-8550
1-2 Kasuga, Tsukuba, Ibaraki
029-859-1469
abe.takashi.gp@u.tsukuba.ac.jp
Ministry of Education, Culture, Sports, Science and Technology
Ministry of Education, Culture, Sports, Science and Technology
Japanese Governmental office
The Clinical Research Ethics Review Committee of the University of Tsukuba Hospital
2-1-1 Amakubo, Tsukuba, Ibaraki 305-5876, Japan
029-853-3914
rinshokenkyu@un.tsukuba.ac.jp
NO
2023 | Year | 07 | Month | 28 | Day |
Unpublished
Open public recruiting
2023 | Year | 07 | Month | 19 | Day |
2023 | Year | 07 | Month | 19 | Day |
2023 | Year | 08 | Month | 01 | Day |
2025 | Year | 03 | Month | 31 | Day |
2023 | Year | 07 | Month | 28 | Day |
2024 | Year | 06 | Month | 07 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000059046