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Killgore WDS, Vanuk JR, Dailey NS. Treatment with morning blue light increases left amygdala volume and sleep duration among individuals with posttraumatic stress disorder. Front Behav Neurosci 2022; 16:910239. [PMID: 36172470 PMCID: PMC9510679 DOI: 10.3389/fnbeh.2022.910239] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 08/24/2022] [Indexed: 01/18/2023] Open
Abstract
BackgroundPosttraumatic stress disorder (PTSD) is associated with numerous cognitive, affective, and psychophysiological outcomes, including problems with sleep and circadian rhythms. We tested the effectiveness of a daily morning blue-light exposure treatment (BLT) versus a matched amber light treatment (ALT) to regulate sleep in individuals diagnosed with PTSD. Moreover, PTSD is also associated with reliable findings on structural neuroimaging scans, including reduced amygdala volumes and other differences in cortical gray matter volume (GMV) that may be indicative of underlying neurobehavioral dysfunctions. We examined the effect of BLT versus ALT on GMV and its association with sleep outcomes.MethodsSeventy-six individuals (25 male; 51 female) meeting DSM-V criteria for PTSD (Age = 31.45 years, SD = 8.83) completed sleep assessments and structural neuroimaging scans, followed by random assignment one of two light groups, including BLT (469 nm; n = 39) or placebo ALT (578 nm; n = 37) light therapy daily for 30-min over 6-weeks. Participants wore a wrist actigraph for the duration of the study. After treatment, participants returned to complete sleep assessments and a structural neuroimaging scan. Neuroimaging data were analyzed using the Computational Anatomy Toolbox (CAT12) and Voxel-Based Morphometry (VBM) modules within the Statistical Parametric Mapping (SPM12) software.ResultsThe BLT condition produced significant increases in total time in bed and total sleep time from actigraphy compared to the ALT condition, while ALT improved wake after sleep onset and sleep efficiency compared to BLT. Additionally, BLT led to an increase in left amygdala volume compared to ALT but did not affect hypothesized medial prefrontal regions. Finally, within group correlations showed that improvements in sleep quality and nightmare severity were correlated with increases in left amygdala volume over the course of treatment for the BLT group but not the ALT group.ConclusionIn individuals with PTSD, daily exposure to morning blue light treatment was associated with improvements in objective sleep duration and increased volume of the left amygdala compared to amber placebo light treatment, and changes in amygdala volume correlated with subjective improvement in sleep. These findings suggest that daily morning BLT may provide an important non-pharmacologic adjunctive approach for facilitating sleep and neurobehavioral recovery from PTSD.
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Kasai K, Yagishita S, Tanaka SC, Koike S, Murai T, Nishida A, Yamasaki S, Ando S, Kawakami N, Kanehara A, Morita K, Kumakura Y, Takahashi Y, Sawai Y, Uno A, Sakakibara E, Okada N, Okamoto Y, Nochi M, Kumagaya S, Fukuda M. Personalized values in life as point of interaction with the world: Developmental/neurobehavioral basis and implications for psychiatry. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2022; 1:e12. [PMID: 38868641 PMCID: PMC11114269 DOI: 10.1002/pcn5.12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/08/2022] [Accepted: 04/16/2022] [Indexed: 06/14/2024]
Abstract
Behavioral neuroscience has dealt with short-term decision making but has not defined either daily or longer-term life actions. The individual brain interacts with the society/world, but where that point of action is and how it interacts has never been an explicit scientific question. Here, we redefine value as an intrapersonal driver of medium- and long-term life actions. Value has the following three aspects. The first is value as a driving force of action, a factor that commits people to take default-mode or intrinsic actions daily and longer term. It consists of value memories based on past experiences, and a sense of values, the source of choosing actions under uncertain circumstances. It is also a multilayered structure of unconscious/automatic and conscious/self-controlled. The second is personalized value, which focuses not only on the value of human beings in general, but on the aspect that is individualized and personalized, which is the foundation of diversity in society. Third, the value is developed through the life course. It is necessary to clarify how values are personalized through the internalization of parent-child, peer, and social experiences through adolescence, a life stage almost neglected in neuroscience. This viewpoint describes the brain and the behavioral basis of adolescence in which the value and its personalization occur, and the importance of this personalized value as a point of interaction between the individual brain and the world. Then the significance of personalized values in psychiatry is discussed, and the concept of values-informed psychiatry is proposed.
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Affiliation(s)
- Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
- The International Research Center for Neurointelligence at The University of Tokyo Institutes for Advanced StudyThe University of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human MindTokyoJapan
- UTokyo Center for Integrative Science of Human Behavior, Graduate School of Art and SciencesThe University of TokyoTokyoJapan
| | - Sho Yagishita
- Department of Structural Physiology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Saori C. Tanaka
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes InternationalKyotoJapan
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and TechnologyNaraJapan
| | - Shinsuke Koike
- The International Research Center for Neurointelligence at The University of Tokyo Institutes for Advanced StudyThe University of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human MindTokyoJapan
- UTokyo Center for Integrative Science of Human Behavior, Graduate School of Art and SciencesThe University of TokyoTokyoJapan
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of TokyoTokyoJapan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Atsushi Nishida
- Research Center for Social Science & MedicineTokyo Metropolitan Institute of Medical ScienceTokyoJapan
| | - Syudo Yamasaki
- Research Center for Social Science & MedicineTokyo Metropolitan Institute of Medical ScienceTokyoJapan
| | - Shuntaro Ando
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Norito Kawakami
- Department of Mental Health, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Akiko Kanehara
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Kentaro Morita
- Department of Rehabilitation, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Yousuke Kumakura
- Department of Mental Health, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Yusuke Takahashi
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
- St Luke's International HospitalTokyoJapan
| | - Yutaka Sawai
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Akito Uno
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Eisuke Sakakibara
- Department of Neuropsychiatry, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Naohiro Okada
- The International Research Center for Neurointelligence at The University of Tokyo Institutes for Advanced StudyThe University of TokyoTokyoJapan
| | - Yasumasa Okamoto
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Masahiro Nochi
- Department of Clinical Psychology, Graduate School of EducationThe University of TokyoTokyoJapan
| | - Shin‐ichiro Kumagaya
- Tojisha‐Kenkyu Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Masato Fukuda
- Department of Psychiatry and Neuroscience, Graduate School of MedicineGunma UniversityGunmaJapan
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Ubukata S, Ueda K, Fujimoto G, Ueno S, Murai T, Oishi N. Extracting Apathy From Depression Syndrome in Traumatic Brain Injury by Using a Clustering Method. J Neuropsychiatry Clin Neurosci 2022; 34:158-167. [PMID: 34794328 DOI: 10.1176/appi.neuropsych.21020046] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Depression and apathy are common after traumatic brain injury (TBI), and different intervention strategies are recommended for each. However, a differential diagnosis can be difficult in clinical settings, especially given that apathy is considered to be a symptom of depression. In this study, the investigators aimed to isolate apathy from depression among patients with TBI and to examine whether apathy is exclusively associated with the amount of daily activity, as previously reported in the literature. METHODS Eighty-eight patients with chronic TBI completed the Japanese versions of the 21-item Beck Depression Inventory-II (BDI-II) and the Starkstein Apathy Scale (AS). Daily activity was measured with a 24-hour life log. A hierarchical cluster analysis was applied to divide the BDI-II data into separable components, and components' correlations with results of the AS and 24-hour life log scale were evaluated. RESULTS The BDI-II and AS revealed that 37 patients (42.0%) had both depression and apathy. BDI-II data were classified into four separate clusters (somatic symptoms, loss of self-worth, affective symptoms, and apathy symptoms). Loss of self-worth and apathy symptoms subscores were significantly positively correlated with total AS score (r=0.32, p=0.002, and r=0.52, p<0.001, respectively). The apathy symptoms subscore was significantly correlated with the amount of daily activity (r=-0.29, p=0.009). CONCLUSIONS The findings suggest that the BDI-II can differentiate between apathy and depression among patients with TBI, which is essential when selecting intervention options. Moreover, apathy symptoms predicted patients' real-life daily activity.
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Affiliation(s)
- Shiho Ubukata
- Medical Innovation Center (Ubukata, Oishi) and Department of Psychiatry (Ueda, Fujimoto, Ueno, Murai), Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Keita Ueda
- Medical Innovation Center (Ubukata, Oishi) and Department of Psychiatry (Ueda, Fujimoto, Ueno, Murai), Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Gaku Fujimoto
- Medical Innovation Center (Ubukata, Oishi) and Department of Psychiatry (Ueda, Fujimoto, Ueno, Murai), Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Senkei Ueno
- Medical Innovation Center (Ubukata, Oishi) and Department of Psychiatry (Ueda, Fujimoto, Ueno, Murai), Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshiya Murai
- Medical Innovation Center (Ubukata, Oishi) and Department of Psychiatry (Ueda, Fujimoto, Ueno, Murai), Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Naoya Oishi
- Medical Innovation Center (Ubukata, Oishi) and Department of Psychiatry (Ueda, Fujimoto, Ueno, Murai), Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Decreased physical activity with subjective pleasure is associated with avoidance behaviors. Sci Rep 2022; 12:2832. [PMID: 35181696 PMCID: PMC8857298 DOI: 10.1038/s41598-022-06563-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 01/14/2022] [Indexed: 11/08/2022] Open
Abstract
The main hypothesis for the relation between physical activity and mental health is that autonomous motivation, such as subjective pleasure for the activity, plays an important role. However, no report has described empirical research designed to examine the role of subjective pleasure in the relation between objectively measured physical activity and psychological indexes. We used accelerometers to collect data indicating participants' physical activity intensity during a week. Participants recorded their subjective pleasure of activity per hour. In 69% of them, the individual correlation coefficients between physical activity and pleasure in an hour (an index of Physical Activity-Pleasure; PA-PL) were positive (r = 0.22, 95%Cl = [0.11-0.38]), indicating that pleasant sensations increased concomitantly with increasing physical activity. Conversely, 31% participants exhibited negative values of PA-PL, which means that the increase in physical activity had the opposite effect, decreasing pleasure. Multiple linear regression analysis showed that avoidance/rumination behaviors decreased significantly with increased PA-PL (β = -6.82, 95%CI: [-13.27 to -0.38], p < .05). These results indicate that subjective pleasure attached to the PA is more important than the PA amount for reducing depressive behavior.
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Lee D, Kim W, Lee JE, Lee JH, Kim YT, Lee SK, Oh SS, Park KS, Koh SB, Kim C, Jung YC. Altered thalamic gray matter volume in firefighters with heavy alcohol use. Drug Alcohol Depend 2021; 229:109099. [PMID: 34813988 DOI: 10.1016/j.drugalcdep.2021.109099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 08/20/2021] [Accepted: 08/20/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Alcohol, a known addictive substance, affects the structural properties of the brain. In this study, we explored associations between alcohol use and gray matter properties among firefighters, who are often exposed to significant occupational stress. METHODS Gray matter volume (GMV) was evaluated using voxel-based morphometry in 287 male firefighters (mean age: 48.8 ± 7.7 years). Firefighters were classified into 32 never-drinkers, 162 non-heavy alcohol users, and 93 heavy alcohol users according to their alcohol consumption. GMV was compared between groups, and the correlations between GMV and alcohol use were investigated. A voxel-wise height threshold of p < 0.001 (uncorrected) was used, with small volume correction applied on cluster level. RESULTS Heavy alcohol users had lower GMV in the bilateral thalamus than non-heavy alcohol users or never-drinkers. Heavy alcohol users also showed lower GMV in the left insula, compared to other groups. The higher the alcohol consumption among firefighters, the lower the GMV of the right thalamus. CONCLUSIONS The results of this study show that heavy alcohol use has an association with lower GMV in several core regions, including the thalamus. When considering the impact of these brain regions on cognitive and behavioral control, our findings suggest a need for concern about heavy alcohol use among firefighters.
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Affiliation(s)
- Deokjong Lee
- Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Republic of Korea; Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Woojin Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jung Eun Lee
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jung Han Lee
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Department of Psychiatry, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Yun Tae Kim
- Department of Public Health, Yonsei University Graduate School, Seoul 03722, Republic of Korea
| | - Seung Koo Lee
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Sung Soo Oh
- Department of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea
| | - Ki Soo Park
- Department of Preventive Medicine and Institute of Health Sciences, College of Medicine, and Department of Bio & Medical Big Data, Gyeongsang National University, Jinju 52757, Republic of Korea
| | - Sang Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul 03722, Republic of Korea
| | - Young-Chul Jung
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Department of Psychiatry, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
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Matsumoto J, Fukunaga M, Miura K, Nemoto K, Koshiyama D, Okada N, Morita K, Yamamori H, Yasuda Y, Fujimoto M, Hasegawa N, Watanabe Y, Kasai K, Hashimoto R. Relationship between white matter microstructure and work hours. Neurosci Lett 2020; 740:135428. [PMID: 33086092 DOI: 10.1016/j.neulet.2020.135428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 09/12/2020] [Accepted: 10/01/2020] [Indexed: 11/18/2022]
Abstract
Human social activities are realized by a synergy of neuronal activity over various regions of the brain, which is supported by their connectivity. In the present study, we examined associations between social activities, represented by work hours, and brain connectivity as quantified using diffusion tensor imaging (DTI). In 483 healthy participants, DTI analysis was performed using 3 T magnetic resonance imaging, and work hours were calculated, considering hours of paid employment (the "Work for Pay" category), hours of housework (the "Work at Home" category), and hours of school-related study (the "Student" category). The correlations between each class of work time and DTI indices were analyzed. The mean diffusivity (MD) values of the anterior limb of the internal capsule (ALIC) and the superior fronto-occipital fasciculus (SFO) were negatively correlated with total work hours (ALIC: r = -0.192, p = 2.3 × 10-5; SFO: r = -0.161, p = 3.8 × 10-4). We also found that the MD values of the ALIC and the SFO were correlated with work hours in the Work for Pay category (ALIC: r = -0.211, p = 3.2 × 10-6; SFO: r = -0.163, p = 3.4 × 10-4) but not with those in the Work at Home category or the Student category. These results suggest that social activity is associated with the white matter microstructure of the ALIC and the SFO. The main difference between "Work for Pay" and the other two social activities appears to be the type of motivation-for example, external versus internal. Therefore, the white matter microstructure of the ALIC and SFO may be related to externally motivated social activities.
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Affiliation(s)
- Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, 38 Nishigonaka Myodaiji, Okazaki, Aichi 444-8585, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; The International Research Center for Neurointelligence (WPI-IRCN) at University of Tokyo Institutes for Advanced Study (UTIAS), 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Kentaro Morita
- Department of Rehabilitation, University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Hidenaga Yamamori
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan; Japan Community Health Care Organization Osaka Hospital, 4-2-78 Fukushima, Fukushima-ku, Osaka, Osaka 553-0003, Japan; Department of Psychiatry, Osaka University, Graduate School of Medicine, D3, 2-2, Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Yuka Yasuda
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan; Medical Corporation Foster, 1-3-11, Oyodominami, Kita-ku, Osaka, Osaka, 531-0075, Japan
| | - Michiko Fujimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan; Department of Psychiatry, Osaka University, Graduate School of Medicine, D3, 2-2, Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Naomi Hasegawa
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan
| | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; The International Research Center for Neurointelligence (WPI-IRCN) at University of Tokyo Institutes for Advanced Study (UTIAS), 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan; Osaka University, 1-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
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