論文

© 2020-IOS Press and the authors. All rights reserved. Background: Although the effects of various types of cognitive interventions have been evaluated, effectiveness and cost-saving effect of the combination of the different cognitive interventions is unknown. Objective: This study aimed to evaluate the feasibility of conducting a definitive trial to assess the effectiveness of combined cognitive intervention. Methods: A matched controlled trial of learning therapy (LT), a combination of cognitive training and stimulation, was conducted. The samples were recruited from the nursing homes. Inclusion criteria were as follows: age 65 years or older, clinical diagnosis of dementia, level of activities of daily living at II or above, Mini-Mental State Examination score between 10 and 26, receiving long-term-care services without history of LT, and provision of written consent. The primary outcomes were safety, validity of eligibility, retention rate, and effect on the functions of daily living represented by Criterion Time for Certification of Needed Long-Term-Care (CT for CNLTC) at 12 months. Cost-benefit analysis was also conducted to assess the cost saving effect of LT. Results: No serious adverse events were detected. The exclusion rate at the screening phase was 5% and the retention rate was 77% at 12 months. LT demonstrated statistically significant improvement in CT for CNLTC at 12 months (Δ=18.8, almost equivalent to 'one' degree of the care needed level) and saved the long-term-care cost by JPY 200,000 (USD 1,618). Conclusions: LT is effective for improving care recipients' level of care needed and has a cost saving effect. A randomized controlled trial is required to verify these findings. Clinical Trial Registration: This study was approved by the ethics committee at Keio University School of Medicine (ID: 20150061). This trial was registered at University hospital Medical Information Network Clinical Trial Registry (UMIN-CTR ID: UMIN000018223).

© 2019 The Authors. Psychiatry and Clinical Neurosciences © 2019 Japanese Society of Psychiatry and Neurology Aim: Previous studies indicate that mirtazapine is unique in its quick responsiveness compared to other antidepressants. Although some other studies have evaluated its cost-effectiveness, they have not considered its early stage remission rate. The aim of this study was to address this research gap by using precise clinical data to evaluate the cost-effectiveness of mirtazapine in Japan. Methods: We developed a Markov model to reflect the week-by-week transition probabilities. The Markov cycle was set as 1 week. While our clinical parameters were obtained largely from existing meta-analyses, cost data were derived from government reports. Cost-effectiveness was evaluated by incremental cost-effectiveness ratios (ICERs) per quality-adjusted life year estimated based on the probability sensitivity analyses. The ICERs were estimated at 2, 8, 26, and 52 weeks. Results: In severe depression, the ICERs ranged between JPY 872 153 and 1 772 723. The probability of mirtazapine being cost-effective ranged from 0.75 to 0.99 when the ICER threshold was JPY 5 000 000. In moderate depression, the ICERs ranged between JPY 2 356 499 and 4 770 145. The probability of mirtazapine being cost-effective ranged from 0.55 to 0.83 when the ICER threshold was JPY 5 000 000. Conclusion: When considering the early stage efficacy of mirtazapine, it appeared to be cost-effective compared to selective serotonin reuptake inhibitors, especially for severe depression and in the early stage treatment in the Japanese setting. However, our study has some limitations. First, mirtazapine is compared with batched selective serotonin reuptake inhibitors rather than individual ones. Second, we did not consider antidepressant combination therapy as treatment options.

© 2020 Nagai et al. Introduction: While patients’ perspectives toward pharmacotherapy are expected to be directly influenced by their motivation and understanding of the treatment that they are currently receiving, no study has comprehensively investigated the impact of insight into illness and knowledge for the ongoing pharmacotherapy on the attitude towards drug treatment among patients with schizophrenia. Materials and Methods: One hundred forty-eight Japanese outpatients diagnosed with schizophrenia, according to the International Classification of Diseases 10th edition, were included (mean±SD age, 47.3±12.4 years; 90 men (60.8%)). Attitudes toward antipsychotic treatment and insight into illness were assessed with the Drug Attitude Inventory-10 (DAI-10) and the VAGUS, respectively. In addition, a multiple-choice questionnaire that was designed to examine patients’ knowledge about therapeutic effects, types, and implicated neurotransmitters of antipsychotic drugs they were receiving was utilized. Results: The mean±SD of DAI-10 score was 4.7±4.2. The multiple regression analysis found that lower Positive and Negative Syndrome Scale (PANSS) scores, higher VAGUS scores, and longer illness duration were significantly associated with higher DAI-10 scores (β=−0.226, P=0.009; β=0.250, P=0.008; β=0.203, P=0.034, respectively). There was a significant difference in the DAI-10 scores between the subjects who gave more accurate answers regarding the effects of their primary antipsychotic and those who did not (mean ±SD, 5.57±4.38 vs 4.13±4.04, P=0.043); however, this finding failed to survive the multiple regression analysis. Conclusion: Better insight into illness and treatment, lower illness severity, longer illness duration, and possibly greater knowledge about the therapeutic effects of medications may lead to better attitudes towards pharmacotherapy among patients with schizophrenia, which has an important implication for this typically chronic mental condition requiring long-term antipsychotic treatment to sustain stability.

Copyright © 2019 Koreki, Maeda, Okimura, Terasawa, Kikuchi, Umeda, Nishikata, Yagihashi, Kasahara, Nagai, Moriyama, Den, Watanabe, Kikumoto, Kato and Mimura. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Background: Self-disturbances in schizophrenia have recently been explained by an abnormality in the sense of agency (SoA). The cerebral structures of SoA in healthy people are considered to mainly include the insula and inferior parietal lobule. In contrast, the functional lesion of aberrant SoA in schizophrenia is not yet fully understood. Considering the recent explanation of establishing SoA from the standpoint of associative learning, the “agency network” may include not only the insula and inferior parietal lobule but also the striatum. We hypothesized that aberrant SoA in schizophrenia is based on a deficit in the “agency network.” Methods: Functional magnetic resonance imaging data were acquired while patients with schizophrenia (n = 15) and matched controls (n = 15) performed our adaptation method of agency attribution task on a trial-by-trial basis to assess participants' explicit experience of the temporal causal relationship between an action and an external event with temporal biases. Analysis of functional connectivity was done using the right supramarginal gyrus and the right middle frontal gyrus as seed regions. Results: In healthy controls, analyses revealed increased activation of the right inferior parietal lobule (mainly the supramarginal gyrus), right insula, and right middle frontal gyrus as an activation of the agency condition. We defined activated Brodmann areas shown in the agency condition of healthy controls as the seed region for connectivity analysis. The connectivity analysis revealed lower connectivity between the head of the left caudate nucleus and right supramarginal gyrus in the patients compared to healthy controls. Conclusions: This dysconnectivity of the agency network in schizophrenia may lead to self-disturbance through deficits in associative learning of SoA. These findings may explain why pathological function of the striatum in schizophrenia leads to self-disturbance.

© 2020 The Authors. Neuropsychopharmacology Reports published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Society of Neuropsycho Pharmacology Aim: It is well accepted that early improvement with antipsychotics predicts subsequent response in patients with schizophrenia. However, no study has examined the contribution of individual symptoms rather than overall symptom severity as the predictors. Thus, we aimed to detect individual symptoms whose improvements could predict subsequent response in patients with schizophrenia during treatment with asenapine and examine whether a prediction model with individual symptoms would be superior to a model using overall symptom severity. Methods: This study analyzed a dataset including 532 patients with schizophrenia enrolled in a 6-week double-blind, placebo-controlled, randomized trial of asenapine. Response to asenapine was defined as a ≥30% decrease in Positive and Negative Syndrome Scale (PANSS) total score from baseline to week 6. Stepwise logistic regression analyses were performed to investigate the associations among response and PANSS total/individual item score improvements at week 1 or week 2. Results: Response was associated with early improvement in the following PANSS items: disturbance of volition, active social avoidance, poor impulse control at week 1; and active social avoidance, poor attention, lack of judgment and insight at week 2. Prediction accuracy was almost compatible between the model with individual symptoms and the model with PANSS total score both at weeks 1 and 2 (Nagelkerke R2:.51,.42 and.55,.54, respectively). Conclusion: Early improvement in negative symptoms, poor attention and impulse control, and lack of insight, in particular predicted subsequent treatment response in patients with schizophrenia during treatment with asenapine as accurately as prediction based on overall symptom severity.

© Copyright 2020 Physicians Postgraduate Press, Inc. Objective: The aim of the present study was to identify individual symptoms whose early improvements contributed to subsequent treatment response to antipsychotics for neuropsychiatric symptoms (NPSs) in patients with Alzheimer's disease (AD) using the dataset of the Clinical Antipsychotic Trials of Intervention Effectiveness-Alzheimer's Disease (CATIE-AD). Methods: The CATIE-AD study was conducted between April 2001 and November 2004 at 45 sites in the United States. Data for 421 patients with DSM-IV AD with NPSs treated with antipsychotics were analyzed in the present study. Treatment response was defined as a reduction of ≥ 9 points in the Neuropsychiatric Inventory (NPI) score or a reduction of ≥ 25% from baseline in Brief Psychiatric Rating Scale (BPRS) total score at week 8. Logistic regression analyses were performed to examine associations between response and clinical and demographic characteristics, including each total or individual symptom score reduction at week 2. Results: Reduction in NPI or BPRS total score at week 2 and several individual symptom score reductions (euphoria/elation, irritability, hallucinations, anxiety, agitation, apathy, disinhibition, and depression among NPI subitems; excitement, suspiciousness, disorientation, hostility, depressive mood, and emotional withdrawal among BPRS subitems) at week 2 were significantly associated with subsequent treatment response at week 8 (all P values < .05); Early non-improvements of irritability and suspiciousness were shown to be especially influential clinical markers in predicting subsequent treatment nonresponse. Furthermore, healthier condition at baseline was significantly associated with treatment response at week 8 (P < .05). Conclusions: Although further research to validate these preliminary findings is needed, focusing on early improvements of individual symptoms could help identify subsequent treatment responders to antipsychotics in AD patients with NPSs.

© Copyright 2018 Physicians Postgraduate Press, Inc. Objective: Placebo effects remain largely unexplored in clinical trials of long-acting injectable (LAI) antipsychotics for schizophrenia. This study aims to characterize patients showing improvements after placebo injections and to search for criteria for the prediction of subsequent response based on the magnitude of score changes after the first week of treatment. Methods: Data from 450 patients with schizophrenia (DSM-IV) who received placebo injections in 4 double-blind randomized controlled trials evaluating efficacy of LAI paliperidone palmitate obtained through the Yale University Open Data Access (YODA) project were analyzed. These 4 studies were conducted from October 2003 to March 2008. Multiple logistic regression analyses were conducted to examine associations between placebo response and demographic and clinical characteristics. The predictive power of improvement at week 1 for response at week 9 was investigated; sensitivity and specificity of incremental 5% cutoff points between a 5% and 25% reduction in Positive and Negative Syndrome Scale (PANSS) total score at week 1 were calculated. Results: Percent reduction in the PANSS total score at week 1 and a lower PANSS G12 item score (ie, better in judgment and insight) at baseline were significantly associated with placebo response at week 9 (odds ratio [OR] = 1.063; 95% CI, 1.040-1.087, P < .001; and OR= 0.739; 95% CI, 0.553-0.986, P = .040, respectively, in the per-protocol analysis). Cutoffs of a 10% (accuracy = 0.724 in the per-protocol analysis) and 15% (accuracy = 0.722 in the last-observation-carried-forward analysis) reduction in the PANSS total score at week 1 showed the highest predictive power. Conclusions: The appreciation that longer-term response following placebo injections can be predicted by a 10%-15% PANSS total score reduction at week 1 could guide the design of future clinical trials of LAI antipsychotics in schizophrenia to identify and exclude potential placebo responders early during the course of the study.

© 2018 - IOS Press and the authors. All rights reserved. Background: Cognitive reserve is the acquired capacity reflecting a functional brain adaptability/flexibility in the context of aging. Educational attainment is thought to be among the most important factors that contribute to cognitive reserve. Objective: The aim of this study is to investigate the relationships among duration of education and Alzheimer's disease (AD) related neuroimaging biomarkers such as amyloid-β deposition, glucose metabolism, and brain volumes in each stage of AD. Methods: We reanalyzed a part of the datasets of the Alzheimer's Disease Neuroimaging Initiative. Participants were between 55 and 90 years of age and diagnosed as one of the following: healthy controls (HC), mild cognitive impairment (MCI), or AD. Multiple regression analyses were conducted to examine the relationships among duration of education and amyloid-β deposition (n=825), brain metabolism (n=1,304), and brain volumes (n=1,606) among three groups using data for 18 F-Florbetapir (AV-45) imaging, fludeoxyglucose (FDG) positron emission tomography, and T1-weighted magnetic resonance imaging. Results: Duration of education had no correlations with amyloid-β deposition or brain metabolism in any groups. However, duration of education was positively associated with the total brain volume only in participants with MCI. Conclusions: Our findings suggest that education may exert a protective effect on total brain volume in the MCI stage but not in HC or AD. Thus, education may play an important role in preventing the onset of dementia through brain reserve in MCI.

© 2018 The Royal College of Psychiatrists. Background Electroconvulsive therapy (ECT) is one of the most effective treatments for depression, although the underlying mechanisms remain unclear. Animal studies have shown that electroconvulsive shock induced neuroplastic changes in the hippocampus. Aims To summarise volumetric magnetic resonance imaging studies investigating the effects of ECT on limbic brain structures. Method A systematic review and meta-analysis was conducted to assess volumetric changes of each side of the hippocampus and amygdala before and after ECT. Standardised mean difference (SMD) was calculated. Results A total of 8 studies (n = 193) were selected for our analyses. Both right and left hippocampal and amygdala volumes increased after ECT. Meta-regression analyses revealed that age, percentage of those responding and percentage of those in remission were negatively associated with volume increases in the left hippocampus. Conclusions ECT increased brain volume in the limbic structures. The clinical relevance of volume increase needs further investigation.

© 2019 Wolters Kluwer Health, Inc. Long-term benzodiazepines (BZDs) use is not endorsed in the treatment guidelines for anxiety disorders, but is prevalent in the real-world clinical settings. A systematic literature review was performed by using PubMed (last search: May 2019) to identify randomized controlled trials (RCTs) or maintenance studies following RCT that examined the effectiveness of BZDs in patients with anxiety disorders for a duration of 13 weeks or more. Meta-analyses were then conducted regarding changes in the Hamilton Anxiety Rating Scale (HAM-A) scores from baseline through endpoint, all-cause discontinuation, side effects, and the numbers of panic attacks at endpoint. Eight studies were identified (N = 1228). There were no significant differences in all outcomes between BZDs and antidepressants after the initial 8-week treatment. While no significant difference was noted in the HAM-A score changes between BZDs and placebo, BZDs resulted in a lower discontinuation rate and more frequent constipation and dry mouth than placebo. Our study indicates that for those who respond to an initial 8-week treatment, continuing BZDs is equivalent to antidepressants in efficacy and safety. However, the limited number of studies warranted further investigations of the long-term effectiveness and safety of BZDs.

© 2019 The Authors. Psychiatry and Clinical Neurosciences © 2019 Japanese Society of Psychiatry and Neurology Aim: The primary objective of this study was to examine the effectiveness of mindfulness-based cognitive therapy (MBCT) in secondary-care settings where the vast majority of the patients have already undergone pharmacotherapy but have not remitted. Methods: Eligible participants were aged between 20 and 75 years and met the criteria for panic disorder/agoraphobia or social anxiety disorder specified in the DSM-IV. They were randomly assigned to either the MBCT group (n = 20) or the wait-list control group (n = 20). The primary outcome was the difference in mean change scores between pre- and post-intervention assessments on the State–Trait Anxiety Inventory (STAI). The outcome was analyzed using an intent-to-treat approach and a mixed-effect model repeated measurement. Results: We observed significant differences in mean change scores for the STAI State Anxiety subscale (difference, −10.1; 95% confidence interval, −16.9 to −3.2; P < 0.005) and STAI Trait Anxiety subscale (difference, −11.7; 95% confidence interval, −17.0 to −6.4; P < 0.001) between the MBCT and control groups. Conclusion: MBCT is effective in patients with anxiety disorders in secondary-care settings where the vast majority of patients are treatment-resistant to pharmacotherapy.

© 2018 Elsevier Inc. Repetitive transcranial magnetic stimulation (rTMS) is an effective clinical intervention for various neuropsychiatric diseases. However, it is still unclear whether rTMS has an effect on cognitive functioning. In this review, we aimed to systematically evaluate the cognitive effects of rTMS in depression, schizophrenia, and Alzheimer's disease. We searched PubMed (1996–2018) under the set terms to review randomized controlled trials (RCT) to examine the effectiveness of rTMS administered to the dorsolateral prefrontal cortex (DLPFC) and evaluated cognitive functions in patients with depression, schizophrenia, and Alzheimer's disease. Two authors reviewed each article and came to consensus on the inclusion and exclusion criteria. All eligible studies were reviewed, duplicates were removed, and data were extracted individually. The search identified 579 articles, 31 of which met inclusion and exclusion criteria. Among them, 15 were conducted in patients with depression, 11 in patients with schizophrenia, and 5 in patients with Alzheimer's disease. Specifically, 6 studies demonstrated a significant improvement of executive function across these diseases. Further, no evidence for cognitive adverse effects was found in these included rTMS studies. Although the heterogeneity between studies in terms of cognitive measures applied, stimulation parameters, and participants limits the ability to generalize conclusions, this review demonstrated that prefrontal rTMS could exert pro-cognitive effects on executive function and attention in some patients with depression but inconsistent cognitive impacts in any of the examined domains especially in patients with schizophrenia and Alzheimer's disease. The results warrant further rTMS studies that include systematic assessment of cognition across various neuropsychiatric diseases.

© 2020 International Parkinson and Movement Disorder Society Background: Electroconvulsive therapy (ECT) is a well-established treatment for psychiatric disorders, including depression and psychosis. ECT has been reported to be effective in treating such psychiatric symptoms in patients with Parkinson's disease (PD) and has been also reported to be effective in treating motor symptoms. The aim of the study is to summarize previous clinical studies investigating the efficacy of ECT for symptoms in patients with PD. Methods: A systematic review and meta-analysis of any study designs assessing motor and/or non-motor symptoms in patients with PD before and after ECT. Co-primary outcomes were set as motor manifestations assessed using the Unified Parkinson's Disease Rating Scale or other rating scales, and non-motor symptoms included depression and psychosis. Secondary outcomes were wearing-off phenomenon and cognitive function. The impact of ECT on those symptoms was examined by comparing the severity of the symptoms before and after ECT using a random effect model and was expressed in standardized mean difference. Results: Of 1219 identified citations, 14 studies (n = 129; 1 randomized controlled study, 9 prospective observational studies, and 4 retrospective studies) were analyzed. The findings were as follows: ECT significantly improved motor manifestations in patients with PD, and the improvement was significant in the subpopulation without psychiatric symptoms; ECT significantly improved depression and psychosis; and ECT significantly relieved wearing-off phenomenon and did not worsen cognitive functioning. Conclusion: The current meta-analysis suggests the potential benefit of ECT on motor and non-motor symptoms in presumably complicated and difficult-to-treat subgroups. © 2020 International Parkinson and Movement Disorder Society.

© 2019 Takamiya, Hirano, Yamagata, Takei, Kishimoto and Mimura. Introduction: Electroconvulsive therapy (ECT) has antidepressant effects, but it also has possible cognitive side effects. The effects of ECT on neuronal oscillatory pattern and phase synchronization, and the relationship between clinical response or cognitive change and electroencephalogram (EEG) measurements remain elusive. Methods: Individuals with unipolar depressive disorder receiving bilateral ECT were recruited. Five minutes of resting, eyes-closed, 19-lead EEG recordings were obtained before and after a course of ECT. Non-overlapping 60 artifact-free epocs of 2-s duration were used for the analyses. We used exact low resolution electromagnetic tomography (eLORETA) to compute the whole-brain three-dimensional intracortical distribution of current source density (CSD) and phase synchronization among 28 regions-of-interest (ROIs). Paired t-tests were used to identify cortical voxels and connectivities showing changes after ECT. Montgomery Asberg Depression Rating Scale (MADRS) and Mini-Mental State Examination (MMSE) were used to evaluate the severity of depression and the global cognitive function. Correlation analyses were conducted to identify the relationship between changes in the EEG measurements and changes in MADRS or MMSE. Results: Thirteen depressed patients (five females, mean age: 58.4 years old) were included. ECT increased theta CSD in the anterior cingulate cortex (ACC), and decreased beta CSD in the frontal pole (FP), and gamma CSD in the inferior parietal lobule (IPL). ECT increased theta phase synchronization between the posterior cingulate cortex (PCC) and the anterior frontal cortex, and decreased beta phase synchronization between the PCC and temporal regions. A decline in beta synchronization in the left hemisphere was associated with cognitive changes after ECT. Conclusion: ECT modulated resting-state EEG oscillatory patterns and phase synchronization in central nodes of the default mode network (DMN). Changes in beta synchronization in the left hemisphere might explain the ECT-related cognitive side effects.

© 2019, The Author(s). The number of patients with dry eye disease (DED) is increasing, and DED has become an urgent public health problem. A comorbidity of mental disorders has been reported in DED patients. We hypothesized that physical and psychological stressors impair tear secretion. To examine the relationship between stress loading and decreased tear secretion, we established a stress-induced DED mouse model, which permitted us to address the underlying mechanism of pathogenesis and resilience. Enriched environment (EE) was an effective intervention to prevent and alleviate stress-induced decreased tear secretion. Because stress loading resulted in decreased brain-derived neurotrophic factor (BDNF) expression while EE resulted in increased expression, we focused on the role of BDNF in tear secretion. Using two distinct Bdnf gene knockdown mice, we evaluated whether BDNF was a deterministic factor in regulating tear secretion in healthy and stressed conditions. Bdnf knockdown mice showed decreased basal tear secretion and loss of stress tolerance by EE for tear secretion. These results suggest that BDNF expression is related to tear secretion and to the pathology of DED.

© 2018 The Authors. Psychiatry and Clinical Neurosciences © 2018 Japanese Society of Psychiatry and Neurology Aim: Although sudden cardiac deaths are more common in psychiatric patients than the general population, data on their causes are very limited. The aim of this study was to investigate initial rhythms and causes of out-of-hospital cardiac arrest (OHCA) in patients with psychiatric disorders. Methods: We conducted a systematic chart review of patients resuscitated after OHCA and hospitalized in the Tertiary Emergency Medical Center of Tokyo Metropolitan Bokutoh Hospital in Japan between January 2010 and December 2017. The initial rhythms and causes of OHCA were compared between psychiatric patients and non-psychiatric patients. Parameters of interest were compared using chi-squared test, Fisher's exact test, or the Mann–Whitney U-test, as appropriate. Results: A total of 49 psychiatric and 600 non-psychiatric patients were eligible for this study. Fatal but shockable arrhythmias (i.e. ventricular fibrillation and ventricular tachycardia) were less frequently observed as initial rhythms in patients with psychiatric disorders than the others (22.4% vs 49.7%, P < 0.001). Cardiac origin was less common as the cause of OHCA (26.5% vs 58.5%, P < 0.01), while airway obstruction and pulmonary embolism were more frequent in psychiatric versus non-psychiatric patients (24.5% vs 6.5%, P < 0.01; and 12.2% vs 1.5%, P < 0.01, respectively). The results were similar when psychiatric patients were compared with sex- and age-matched controls selected from the non-psychiatric patient group. Conclusion: Although fatal arrhythmias may be less common, non-cardiac causes such as pulmonary embolism and airway obstruction need to be treated with high clinical suspicion in an event of sudden cardiac arrest in psychiatric patients.

© 2020 Objective: We aimed to develop a machine learning algorithm to screen for depression and assess severity based on data from wearable devices. Methods: We used a wearable device that calculates steps, energy expenditure, body movement, sleep time, heart rate, skin temperature, and ultraviolet light exposure. Depressed patients and healthy volunteers wore the device continuously for the study period. The modalities were compared hourly between patients and healthy volunteers. XGBoost was used to build machine learning models and 10-fold cross-validation was applied for the validation. Results: Forty-five depressed patients and 41 healthy controls participated, creating a combined 5,250 days' worth of data. Heart rate, steps, and sleep were significantly different between patients and healthy volunteers in some comparisons. Similar differences were also observed longitudinally when patients' symptoms improved. Based on seven days' data, the model identified symptomatic patients with 0.76 accuracy and predicted Hamilton Depression Rating Scale-17 scores with a 0.61 correlation coefficient. Skin temperature, sleep time-related features, and the correlation of those modalities were the most significant features in machine learning. Limitations: The small number of subjects who participated in this study may have weakened the statistical significance of the study. There are differences in the demographic data among groups although we performed a correction for multiple comparisons. Validation in independent datasets was not performed, although 10-fold cross validation with the internal data was conducted. Conclusion: The results indicated that utilizing wearable devices and machine learning may be useful in identifying depression as well as assessing severity.

© 2020 The Authors Background: Mood disorders have long been known to affect motor function. While methods to objectively assess such symptoms have been used in experiments, those same methods have not yet been applied in clinical practice because the methods are time-consuming, labor-intensive, or invasive. Methods: We videotaped the upper body of each subject using a Red-Green-Blue-Depth (RGB-D) sensor during a clinical interview setting. We then examined the relationship between depressive symptoms and body motion by comparing the head motion of patients with major depressive disorders (MDD) and bipolar disorders (BD) to the motion of healthy controls (HC). Furthermore, we attempted to predict the severity of depressive symptoms by using machine learning. Results: A total of 47 participants (HC, n = 16; MDD, n = 17; BD, n = 14) participated in the study, contributing to 144 data sets. It was found that patients with depression move significantly slower compared to HC in the 5th percentile and 50th percentile of motion speed. In addition, Hamilton Depression Rating Scale (HAMD)-17 scores correlated with 5th percentile, 50th percentile, and mean speed of motion. Moreover, using machine learning, the presence and/or severity of depressive symptoms based on HAMD-17 scores were distinguished by a kappa coefficient of 0.37 to 0.43. Limitations: Limitations include the small number of subjects, especially the number of severe cases and young people. Conclusions: The RGB-D sensor captured some differences in upper body motion between depressed patients and controls. If much larger samples are accumulated, machine learning may be useful in identifying objective measures for depression in the future.

© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Depression is one of the common psychiatric disorders in old age. Major depressive disorder (MDD) has been identified as a risk factor or prodrome for neurodegenerative dementias, suggesting neuropathological overlaps and a continuum between MDD and neurodegenerative disorders. In this study, we examined tau and amyloid-β (Aβ) accumulations in the brains of MDD and healthy controls using positron emission tomography (PET) to explore pathological substrates of this illness. Twenty MDD and twenty age-matched, healthy controls were examined by PET with a tau radioligand, [11C]PBB3, and an Aβ radioligand, [11C]PiB. Radioligand retentions were quantified as a standardized uptake value ratio (SUVR). We also assessed clinical manifestations of the patients using the 17-item Hamilton Depression Scale, the Geriatric Depression Scale, and psychotic symptoms. Mean cortical [11C]PBB3 SUVRs in MDD patients were significantly higher than those of healthy controls. These values were higher in MDD patients with psychotic symptoms than in those without any. The present findings indicate that tau depositions may underlie MDD, and especially in patients with psychotic symptoms. PET detection of tau accumulations may provide mechanistic insights into neuronal dysfunctions in these cases and could serve as predictions of their clinical consequences.

© 2018 Sano et al. Introduction: We investigated the benefits of a cognitive behavior therapy-based exercise program to reduce the dry eye symptoms of office workers. Materials and methods: We recruited 11 office workers with dry eye symptoms, aged 31–64 years, who voluntarily participated in group health guidance at a manufacturing company. Participants learned about the role of physical activity and exercise in enhancing wellness and performed an exercise program at home 3 days per week for 10 weeks. We estimated the indexes of body composition, dry eye symptoms, and psychological distress using the Dry Eye-Related Quality of Life Score and the World Health Organization’s Subjective Well-Being Inventory questionnaires pre- and postintervention. Results: The 10-week exercise program and the questionnaires were completed by 48.1% (39 of 81) of the participants. Body composition did not change pre- and postintervention. However, the average of the Dry Eye-Related Quality of Life Score scores in participants with subjective dry eye significantly improved after the intervention. Moreover, the World Health Organization’s Subjective Well-Being Inventory positive well-being score tended to increase after the intervention. Conclusion: In this study, we showed that a 10-week exercise program improved subjective dry eye symptoms of healthy office workers. Our study suggests that a cognitive behavior therapy-based exercise program can play an important role in the treatment of patients with dry eye disease.