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Article ; Online: Trait and state self-compassion interactively predict cortisol recovery following an acute stressor in healthy males.

Maeda, Shunta

2022 Volume 144, Page(s) 105864

Abstract: This study examined the effect of self-compassion induction on cortisol stress recovery following an acute stressor. A total of 67 male university students completed the Maastricht Acute Stress Test and were then randomized to either a self-compassion (a ...

Abstract	This study examined the effect of self-compassion induction on cortisol stress recovery following an acute stressor. A total of 67 male university students completed the Maastricht Acute Stress Test and were then randomized to either a self-compassion (a guided self-compassion writing task) or control condition (a writing task just to review the stress test), followed by a 50-minute resting period. Subjective stress and cortisol levels were assessed at - 15, - 10, 0, 10, 20, 30, 40, and 50 min relative to the stress offset. Heart rate and respiratory sinus arrhythmia were monitored throughout the study. Multilevel modeling indicated that self-compassion induction had no significant effect on cortisol recovery. An exploratory analysis examining the moderating effect of trait self-compassion indicated that the effect of self-compassion induction was prominent when trait self-compassion was low but not when it was high. These findings suggest that self-compassion induction may help recovery from stressful experiences, particularly for those who are less self-compassionate.
MeSH term(s)	Empathy ; Heart Rate/physiology ; Humans ; Hydrocortisone ; Male ; Respiratory Sinus Arrhythmia ; Self-Compassion ; Stress, Psychological
Chemical Substances	Hydrocortisone (WI4X0X7BPJ)
Language	English
Publishing date	2022-07-09
Publishing country	England
Document type	Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
ZDB-ID	197636-9
ISSN	1873-3360 ; 0306-4530
ISSN (online)	1873-3360
ISSN	0306-4530
DOI	10.1016/j.psyneuen.2022.105864
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Book ; Online: Generative Autoencoding of Dropout Patterns

Maeda, Shunta

2023

Abstract: We propose a generative model termed Deciphering Autoencoders. In this model, we assign a unique random dropout pattern to each data point in the training dataset and then train an autoencoder to reconstruct the corresponding data point using this ... ...

Abstract	We propose a generative model termed Deciphering Autoencoders. In this model, we assign a unique random dropout pattern to each data point in the training dataset and then train an autoencoder to reconstruct the corresponding data point using this pattern as information to be encoded. Since the training of Deciphering Autoencoders relies solely on reconstruction error, it offers more stable training than other generative models. Despite its simplicity, Deciphering Autoencoders show comparable sampling quality to DCGAN on the CIFAR-10 dataset.
Keywords	Computer Science - Machine Learning ; Computer Science - Computer Vision and Pattern Recognition
Publishing date	2023-10-02
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Image Super-Resolution with Deep Dictionary

Maeda, Shunta

2022

Abstract: Since the first success of Dong et al., the deep-learning-based approach has become dominant in the field of single-image super-resolution. This replaces all the handcrafted image processing steps of traditional sparse-coding-based methods with a deep ... ...

Abstract	Since the first success of Dong et al., the deep-learning-based approach has become dominant in the field of single-image super-resolution. This replaces all the handcrafted image processing steps of traditional sparse-coding-based methods with a deep neural network. In contrast to sparse-coding-based methods, which explicitly create high/low-resolution dictionaries, the dictionaries in deep-learning-based methods are implicitly acquired as a nonlinear combination of multiple convolutions. One disadvantage of deep-learning-based methods is that their performance is degraded for images created differently from the training dataset (out-of-domain images). We propose an end-to-end super-resolution network with a deep dictionary (SRDD), where a high-resolution dictionary is explicitly learned without sacrificing the advantages of deep learning. Extensive experiments show that explicit learning of high-resolution dictionary makes the network more robust for out-of-domain test images while maintaining the performance of the in-domain test images. Comment: ECCV 2022
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Electrical Engineering and Systems Science - Image and Video Processing
Subject code	006
Publishing date	2022-07-19
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Demographic predictors of bedtime procrastination in the Japanese population.

Miyagawa, Shion / Sato, Tomoya / Maeda, Shunta

Sleep and biological rhythms

2024 Volume 22, Issue 2, Page(s) 199–206

Abstract: Bedtime procrastination (BP) is prevalent and problematic, with no previous study conducted in Japan. This study developed the Japanese version of the Bedtime Procrastination Scale (BPS), assessed its validity, and investigated the relationship between ... ...

Abstract	Bedtime procrastination (BP) is prevalent and problematic, with no previous study conducted in Japan. This study developed the Japanese version of the Bedtime Procrastination Scale (BPS), assessed its validity, and investigated the relationship between BP, demographic features, and sleep outcomes. Participants were divided into two samples ( Supplementary information: The online version contains supplementary material available at 10.1007/s41105-023-00508-7.
Language	English
Publishing date	2024-01-18
Publishing country	Japan
Document type	Journal Article
ZDB-ID	2185804-4
ISSN	1479-8425 ; 1446-9235
ISSN (online)	1479-8425
ISSN	1446-9235
DOI	10.1007/s41105-023-00508-7
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Book ; Online: Unpaired Image Super-Resolution using Pseudo-Supervision

Maeda, Shunta

2020

Abstract: In most studies on learning-based image super-resolution (SR), the paired training dataset is created by downscaling high-resolution (HR) images with a predetermined operation (e.g., bicubic). However, these methods fail to super-resolve real-world low- ... ...

Abstract	In most studies on learning-based image super-resolution (SR), the paired training dataset is created by downscaling high-resolution (HR) images with a predetermined operation (e.g., bicubic). However, these methods fail to super-resolve real-world low-resolution (LR) images, for which the degradation process is much more complicated and unknown. In this paper, we propose an unpaired SR method using a generative adversarial network that does not require a paired/aligned training dataset. Our network consists of an unpaired kernel/noise correction network and a pseudo-paired SR network. The correction network removes noise and adjusts the kernel of the inputted LR image; then, the corrected clean LR image is upscaled by the SR network. In the training phase, the correction network also produces a pseudo-clean LR image from the inputted HR image, and then a mapping from the pseudo-clean LR image to the inputted HR image is learned by the SR network in a paired manner. Because our SR network is independent of the correction network, well-studied existing network architectures and pixel-wise loss functions can be integrated with the proposed framework. Experiments on diverse datasets show that the proposed method is superior to existing solutions to the unpaired SR problem. Comment: 10 pages, 10 figures
Keywords	Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2020-02-26
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The effect of distraction versus post-event processing on cortisol recovery in individuals with elevated social anxiety.

Maeda, Shunta / Moriishi, Chihiro / Ogishima, Hiroyoshi / Shimada, Hironori

Comprehensive psychoneuroendocrinology

2022 Volume 11, Page(s) 100142

Abstract: There are preliminary findings that repetitive thinking on social situations (post-event processing; PEP) is associated with impaired cortisol recovery after experiencing social evaluative stressors. However, no studies have examined the effect of ... ...

Abstract	There are preliminary findings that repetitive thinking on social situations (post-event processing; PEP) is associated with impaired cortisol recovery after experiencing social evaluative stressors. However, no studies have examined the effect of experimental manipulation of PEP on cortisol recovery among socially anxious individuals. The aim of the present study was to examine the effect of distraction on cortisol recovery following a social-evaluative stressor in individuals with subclinical social anxiety symptoms. A total of 40 participants, who scored >30 on the Liebowitz Social Anxiety Scale, completed a standardized stress test (the Trier Social Stress Test; TSST). They were then randomized to complete either a 10-min distraction or PEP induction task. Subjective anxiety and salivary cortisol levels were assessed at -20, -10, 0, +10, +20, +30, +40, and +50 min, with respect to the TSST offset. Contrary to the hypothesis, no difference in cortisol recovery was observed between distraction induction and PEP induction. These findings suggest that short-term distraction induction may not be sufficient to promote cortisol recovery in individuals with elevated social anxiety.
Language	English
Publishing date	2022-05-13
Publishing country	England
Document type	Journal Article
ISSN	2666-4976
ISSN (online)	2666-4976
DOI	10.1016/j.cpnec.2022.100142
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Article ; Online: Effects of cortisol on retrieval of extinction memory in individuals with social anxiety.

Moriishi, Chihiro / Maeda, Shunta / Ogishima, Hiroyoshi / Shimada, Hironori

Comprehensive psychoneuroendocrinology

2021 Volume 7, Page(s) 100060

Abstract: While exposure-based treatment for social anxiety disorder (SAD) has been shown to be effective, the high relapse rate remains a problem. Although relapse has been understood as the inability to retrieve extinction memory, the factors that influence the ... ...

Abstract	While exposure-based treatment for social anxiety disorder (SAD) has been shown to be effective, the high relapse rate remains a problem. Although relapse has been understood as the inability to retrieve extinction memory, the factors that influence the extent of retrieval of extinction memory have not been determined. This study aimed to examine whether the cortisol response to acute stressors in socially anxious individuals inhibits the retrieval of extinction memory, focusing on the cortisol response to acute stressors as a factor. Thirty-nine participants who scored 42 or more on the Liebowitz Social Anxiety Scale participated in the experiment for two consecutive days. On the first day, a fear conditioning task aimed at learning fear and extinction memory was administered, and on the second day, a psychosocial stress task (Trier Social Stress Test; TSST) was conducted, followed by an extinction retrieval test. The results indicated that cortisol responsiveness (Responder/Non-responder) was not associated with the retrieval of extinction memory indexed by subjective and physiological measures. However, a supplementary analysis revealed that the total amount of cortisol secretion was associated with attenuated retrieval of extinction memory. These findings suggest that the total cortisol secretions, rather than cortisol responsiveness to the acute stressor, may play a role in relapse.
Language	English
Publishing date	2021-05-26
Publishing country	England
Document type	Journal Article
ISSN	2666-4976
ISSN (online)	2666-4976
DOI	10.1016/j.cpnec.2021.100060
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Article ; Online: Network analysis of the relationship between social support and quality of life in patients with epilepsy.

Takahashi, Kento / Fujikawa, Mayu / Ueno, Takashi / Ogawa, Maimi / Nakasato, Nobukazu / Maeda, Shunta

Epilepsy & behavior : E&B

2023 Volume 149, Page(s) 109504

Abstract: Background: Identifying important types of social support for patients with epilepsy is valuable to construct an effective system for support in daily life. However, previous studies have been inconsistent in identifying the most important types of ... ...

Abstract	Background: Identifying important types of social support for patients with epilepsy is valuable to construct an effective system for support in daily life. However, previous studies have been inconsistent in identifying the most important types of social support for better quality of life (QOL) due to the high correlations between the social support factors. The present study employed network visualization analysis to identify the relationships between QOL and types of social support. Methods: Two hundred and eighty-three patients with epilepsy (age range: 18 to 75 years) completed questionnaires of the Medical Outcomes Study Social Support Survey (MOS-SSS) and the Quality of Life in Epilepsy Inventory-31-Problems in the epilepsy monitoring unit at Tohoku University. The MOS-SSS was established to measure the four types of social support including emotional/informational support, tangible support, affectionate support, and positive social interaction. Our network visualization analysis represented the entire structure of the interrelationships between the four functions of social support and QOL. In addition, the relative importance of each function of social support were estimated by the centrality indices using three commonly used centrality indices: strength, betweenness, and closeness. Results: The visualized network showed that positive social interaction and emotional/informational support were directly associated with QOL, whereas tangible support and affectionate support were not. Positive social interaction had the highest value for all three centrality indices and affectionate support had the second highest. Therefore, positive social interaction had the strongest connection to the other functions of support. Discussion: Our network analysis and centrality indices findings showed that positive social interaction is the most important within the network of four types of social support and QOL. The emotional informational function is also important for directly improving QOL but is less related to the other functions. The affectionate function might be an indicator of whether a patient has a foundational relationship that leads to other functions of support. Conclusion: These results showed the importance of increasing positive social interaction in the social environment of patients with epilepsy. Therefore, practitioners need to encourage patients with epilepsy to increase their positive social interactions such as doing something enjoyable with others or someone to associate for relaxation to ensure high QOL. Connections outside the epilepsy support are important, such as having fun regardless of epilepsy, rather than only providing emotional or tangible support for epilepsy.
MeSH term(s)	Humans ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Quality of Life/psychology ; Surveys and Questionnaires ; Social Support ; Emotions ; Epilepsy
Language	English
Publishing date	2023-11-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	2010587-3
ISSN	1525-5069 ; 1525-5050
ISSN (online)	1525-5069
ISSN	1525-5050
DOI	10.1016/j.yebeh.2023.109504
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Article: Effects of Depressive Symptoms, Feelings, and Interoception on Reward-Based Decision-Making: Investigation Using Reinforcement Learning Model.

Ogishima, Hiroyoshi / Maeda, Shunta / Tanaka, Yuki / Shimada, Hironori

Brain sciences

2020 Volume 10, Issue 8

Abstract: Background: In this study, we examined the relationships between reward-based decision-making in terms of learning rate, memory rate, exploration rate, and depression-related subjective emotional experience, in terms of interoception and feelings, to ... ...

Abstract	Background: In this study, we examined the relationships between reward-based decision-making in terms of learning rate, memory rate, exploration rate, and depression-related subjective emotional experience, in terms of interoception and feelings, to understand how reward-based decision-making is impaired in depression. Methods: In all, 52 university students were randomly assigned to an experimental group and a control group. To manipulate interoception, the participants in the experimental group were instructed to tune their internal somatic sense to the skin-conductance-response waveform presented on a display. The participants in the control group were only instructed to stay relaxed. Before and after the manipulation, the participants completed a probabilistic reversal-learning task to assess reward-based decision-making using reinforcement learning modeling. Similarly, participants completed a probe-detection task, a heartbeat-detection task, and self-rated scales. Results: The experimental manipulation of interoception was not successful. In the baseline testing, reinforcement learning modeling indicated a marginally-significant correlation between the exploration rate and depressive symptoms. However, the exploration rate was significantly associated with lower interoceptive attention and higher depressive feeling. Conclusions: The findings suggest that situational characteristics may be closely involved in reward exploration and highlight the clinically-meaningful possibility that intervention for affective processes may impact reward-based decision-making in those with depression.
Language	English
Publishing date	2020-08-01
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2651993-8
ISSN	2076-3425
ISSN	2076-3425
DOI	10.3390/brainsci10080508
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Article: Acute cortisol response to a psychosocial stressor is associated with heartbeat perception

Maeda, Shunta / Ogishima, Hiroyoshi / Shimada, Hironori

Physiology & behavior. 2019 Aug. 01, v. 207

2019

Abstract: The aim of the present study was to examine the effect of an acute increase in cortisol in response to a psychosocial stressor on heartbeat perception, in a laboratory environment. Thirty-six participants (20 women, 16 men, mean age = 21.7 years, ... ...

Abstract	The aim of the present study was to examine the effect of an acute increase in cortisol in response to a psychosocial stressor on heartbeat perception, in a laboratory environment. Thirty-six participants (20 women, 16 men, mean age = 21.7 years, standard deviation = 1.7 years) completed a heartbeat counting task (Schandry paradigm) before and after exposure to an acute psychosocial stressor (Trier Social Stress Test; TSST). Heartbeat counting performance was compared between participants who exhibited strong cortisol responses (>15.5% increase in cortisol from baseline; responders) and those who did not (non-responders). Responders showed increased heartbeat counting accuracy following the TSST, which was not observed in non-responders. The two groups did not differ in their responsivity to subjective anxiety ratings or heart rate. These results indicated that acutely elevated cortisol in response to a psychosocial stressor is associated with increased interoceptive accuracy. The results provide a possible explanation for inconsistent findings on the effect of stress exposure on interoception.
Keywords	anxiety ; cortisol ; heart rate ; men ; psychosocial factors ; standard deviation ; women
Language	English
Dates of publication	2019-0801
Size	p. 132-138.
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	3907-x
ISSN	1873-507X ; 0031-9384
ISSN (online)	1873-507X
ISSN	0031-9384
DOI	10.1016/j.physbeh.2019.05.013
Database	NAL-Catalogue (AGRICOLA)

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