Asian journal of psychiatry最新文献

{"title":"Network meta-analysis of the effects of digital interventions on social functioning in children with autism spectrum disorder","authors":"Meng Xuhui,&nbsp;Zhou Xue,&nbsp;Shi Yongbo,&nbsp;Nie Ying,&nbsp;Guo Lanmin","doi":"10.1016/j.ajp.2026.104855","DOIUrl":"10.1016/j.ajp.2026.104855","url":null,"abstract":"<div><h3>Objective</h3><div>This study performed a network meta-analysis of randomized and matched controlled trials to evaluate the effects of digital interventions on social functioning in children with autism spectrum disorder (ASD), compare the relative efficacy across digital modalities, and generate evidence to inform clinical decision-making and future research.</div></div><div><h3>Methods</h3><div>Following PRISMA-NMA guidelines, we systematically searched PubMed, Embase, Web of Science, Cochrane CENTRAL, and CINAHL for randomized or matched controlled trials evaluating digital interventions in children with ASD. The primary outcome was social functioning, and the secondary outcome was the dropout rate.A frequentist random-effects network meta-analysis was performed. Surface under the cumulative ranking curve (SUCRA) values were used to rank the interventions, and the certainty of evidence was assessed using the CINeMA framework.</div></div><div><h3>Results</h3><div>Twenty trials involving 912 children with ASD were included in the analysis. The network meta-analysis indicated that all categories of digital interventions were generally well tolerated, with low dropout rates and no statistically significant differences between groups. For social functioning, computer-based intervention plus treatment as usual (CBI+TAU; SMD = 0.99, 95 % CI: –0.02 – 2.20), robot-based intervention plus treatment as usual (RBI+TAU; SMD = 0.72, 95 % CI: 0.15 – 1.30), and computer-based intervention (CBI; SMD = 0.84, 95 % CI: 0.44 – 1.24) demonstrated trends toward superiority over control conditions. CBI+TAU showed the largest point estimate and ranked highest in SUCRA; however, its effect estimate was imprecise and did not reach statistical significance. Although virtual reality-based interventions (VBI) and mobile-based interventions plus treatment as usual (MBI+TAU) ranked lower, both demonstrated meaningful clinical potential.</div></div><div><h3>Conclusions</h3><div>Digital interventions provide measurable benefits for improving social functioning in children with ASD and are generally well tolerated. CBI+TAU ranked highest in SUCRA; however, its effect estimate was imprecise and did not reach statistical significance, indicating substantial uncertainty. Therefore, SUCRA rankings should be interpreted as indicative of relative tendencies rather than definitive evidence of superiority. Despite limited direct evidence, VBI and MBI show considerable promise, particularly for home-based implementation. Clinically, CBI+TAU may be considered a promising option; however, its role as a core intervention should be interpreted cautiously until supported by larger, adequately powered trials. Other digital modalities, including RBI, MBI, and VBI, may serve as complementary components within multimodal intervention frameworks.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104855"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using human-robot interaction to assess emotion recognition in dialysis patients: A preliminary study","authors":"Concetta De Pasquale ,&nbsp;Maria Luisa Pistorio ,&nbsp;Helene Høgsdal ,&nbsp;Carla Cirasa ,&nbsp;Daniela Conti","doi":"10.1016/j.ajp.2026.104878","DOIUrl":"10.1016/j.ajp.2026.104878","url":null,"abstract":"<div><div>This cross-sectional observational study examined the relationship between psychological factors and multimodal emotion recognition abilities in patients with chronic kidney disease (CKD), introducing a humanoid robot as an innovative assessment modality. Sixty adults undergoing dialysis and awaiting renal transplantation (63.3 % male; mean age = 53.95 years, range 20–80) completed three emotion recognition tasks based on Ekman facial expressions, dynamic video clips, and emotional displays performed by the NAO humanoid robot, together with validated measures of alexithymia (TAS-20), anxiety (GAD-7), and depression (PHQ-9). Regression analyses showed that performance on the Ekman task was positively predicted by education and anxiety levels (<em>β</em> =.26, <em>p</em> = .037; <em>β</em> =.26, p = .043). Recognition of emotions in videos was negatively predicted by age (<em>β</em> = –.45, <em>p</em> &lt; .001) and alexithymia (<em>β</em> = –.37, <em>p</em> = .002). For the robot-based task, increasing age (<em>β</em> = –.30, <em>p</em> = .020) and longer dialysis duration (<em>β</em> =.31, <em>p</em> <em>=</em> .017) significantly predicted recognition accuracy. Logistic regression analyses indicated that alexithymia negatively predicted recognition of disgust in videos and fear expressed by the robot. Levels of anxiety positively predicted recognition of happiness and fear in the Ekman test. Across the modalities, alexithymia and age emerged as core factors associated with reduced emotion recognition, with video and robot-based tasks capturing these differences more clearly than static facial stimuli. These findings suggest that socially assistive robots may represent a promising tool for detecting subtle socio-emotional processing alterations in medically vulnerable populations, supporting future longitudinal research integrating technological and psychological assessment.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104878"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146140918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-view ensemble learning for EEG-based detection of Obsessive–Compulsive Disorder","authors":"Aditya Kumar ,&nbsp;Ravi Patel ,&nbsp;Niharika Koch ,&nbsp;Jainath Yadav","doi":"10.1016/j.ajp.2025.104827","DOIUrl":"10.1016/j.ajp.2025.104827","url":null,"abstract":"<div><div>Psychiatric disorders pose a critical challenge in modern healthcare due to their high prevalence, complex symptomatology, and reliance on subjective diagnostic procedures. Obsessive–Compulsive Disorder (OCD), in particular, is a chronic and debilitating condition that significantly impairs daily functioning, yet remains difficult to diagnose accurately and objectively. To address this challenge, we propose a novel frequency-aware multi-view ensemble learning framework for EEG-based OCD classification. The method systematically partitions EEG features into frequency-specific views (delta, theta, alpha, beta, and gamma), thereby capturing complementary neural dynamics associated with different cognitive and affective processes. For each frequency view, multiple base classifiers are trained, and their probabilistic outputs are integrated through a Particle Swarm Optimization (PSO)-based weight optimization strategy. This ensures that more informative frequency bands and classifiers contribute proportionally to the final prediction. Comprehensive experiments conducted on clinical EEG datasets demonstrate that the proposed model achieves superior performance, with an average accuracy of 90.1%, precision of 90.6%, recall of 90.1%, and F1-score of 89.7%, significantly outperforming state-of-the-art baselines such as SVM (70.2% accuracy) and Random Forest (68.7% accuracy). The results establish the clinical potential of this framework as a robust, non-invasive, and scalable computational tool to complement traditional psychiatric assessment and improve diagnostic precision in OCD recognition.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104827"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145965084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy and side effects of antipsychotic drugs in schizophrenic patients with comorbid chronic illness","authors":"Qiuyue Peng ,&nbsp;Haixin Li ,&nbsp;Qingxing Lu,&nbsp;Mengtong Xie,&nbsp;Hongyi Ren,&nbsp;Wen-Yan Tan,&nbsp;Fu-Jun Jia,&nbsp;Qiong Yu ,&nbsp;Shi-Bin Wang","doi":"10.1016/j.ajp.2026.104846","DOIUrl":"10.1016/j.ajp.2026.104846","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104846"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146017239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does improvement in attention through theta/beta neurofeedback training result in better entry-level vocational task performance in individuals with schizophrenia? An open-label randomised controlled trial","authors":"Aanchal Narang ,&nbsp;Devvarta Kumar ,&nbsp;Jagadisha Thirthalli ,&nbsp;Aarti Jagannathan","doi":"10.1016/j.ajp.2026.104880","DOIUrl":"10.1016/j.ajp.2026.104880","url":null,"abstract":"<div><div>The presence of cognitive deficits in schizophrenia is unequivocally established. These deficits impact the socio-occupational functioning of the individual. Consequently, enhancing cognitive functions is a key goal of comprehensive treatment approaches. Of late, neurofeedback has shown promise in improving cognitive abilities; however, research in the schizophrenia population remains scarce. The present study aimed to evaluate the efficacy of neurofeedback in enhancing speed, accuracy, and productivity on entry-level vocational activities. Thirty-four individuals with schizophrenia underwent 15 sessions of neurofeedback designed to attenuate theta and late beta activities while augmenting early beta activity. A wait-list control group (N = 34) of schizophrenia patients was used for comparison. Results indicated that the neurofeedback group had improved speed, accuracy, and productivity on the entry-level vocational tasks, potentially due to enhanced alertness and attention. Additionally, cognitive assessments also revealed improvements in attention and information processing. These findings suggest that a brief, targeted neurofeedback protocol can enhance vocational task performance in individuals with schizophrenia.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104880"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146137045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Magnetic seizure therapy versus electroconvulsive therapy for major mental disorders: A systematic review” [Asian J. Psychiatry 103 (2025) 104336]","authors":"Zhan-Ming Shi ,&nbsp;Zhi-Ang Su ,&nbsp;Ting Ning ,&nbsp;Wei Zheng","doi":"10.1016/j.ajp.2026.104875","DOIUrl":"10.1016/j.ajp.2026.104875","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104875"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating auditory semantic and prosodic content, lexical acquisition, and facial identification as perceptual determinants of emotion recognition in schizophrenia","authors":"Ishita Dhyani ,&nbsp;Stuti Karna ,&nbsp;Sonali Singhal ,&nbsp;Shubham Narnoli ,&nbsp;Panna Sharma ,&nbsp;Ragul Ganesh ,&nbsp;Rohit Verma","doi":"10.1016/j.ajp.2026.104837","DOIUrl":"10.1016/j.ajp.2026.104837","url":null,"abstract":"<div><h3>Background</h3><div>Emotion recognition is essential for both general wellbeing and social relationships. This ability is compromised in individuals suffering from schizophrenia. However, not all aspects of emotion recognition have been evaluated in previous literature.</div></div><div><h3>Aim</h3><div>The present study aimed to evaluate emotion recognition through auditory semantic and prosodic content, lexical acquisition and facial identification in individuals suffering from schizophrenia compared to healthy individuals.</div></div><div><h3>Methods</h3><div>This cross-sectional study included 50 individuals diagnosed with schizophrenia along with age and handedness matched 50 healthy individuals were assessed using Edinburgh Handedness Inventory (EHI), Verbal Adult Intelligence Scale (VAIS), Scale for Assessment of Negative Symptoms (SANS), Scale for Assessment of Positive Symptoms (SAPS), and Extrapyramidal Symptoms Rating Scale (ESRS). Four types of emotion recognition tasks were presented to the participants - lexical, visual (static facial images and dynamic videos), and auditory. Autonomic functions were evaluated that included testing of systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse rate (PR) of the participants before and after the completion of each emotion recognition task.</div></div><div><h3>Results</h3><div>There were differences in performance observed for people with schizophrenia when compared to healthy individuals. This was noticeable across all the different types of perceptual dimensions – lexical, visual (static facial images and dynamic videos), and auditory. Additionally, after completing an emotion detection task, there was a change in autonomic functioning that was significantly more pronounced in people with schizophrenia.</div></div><div><h3>Conclusion</h3><div>The findings indicate that individuals with schizophrenia have difficulty in emotion recognition for all perceptual modalities.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104837"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuroscience in pictures: Neuroscience of fear","authors":"Yelu Zhang ,&nbsp;Matcheri Keshavan","doi":"10.1016/j.ajp.2026.104876","DOIUrl":"10.1016/j.ajp.2026.104876","url":null,"abstract":"<div><div>Fear is an evolutionarily adaptive mechanism that enables organisms to detect and respond to potential threats. Over the past century, theories of fear have evolved from Pavlovian and behavioral frameworks to neuroscientific models that emphasize specific neural circuits, neurotransmission, and plasticity. This pictorial review synthesizes key concepts underlying the neuroscience of fear, starting with a historical narrative of fear as conceptualized by conditioning and behaviorism theories, to the roles of different neurobiology structures, networks, to concepts of memory consolidation, reconsolidation, and plasticity. We highlight how pathological fear is implicated in disease, integrating evidence from conditioning theories, neuroscience, and additional considerations (ie. Culture and psychosocial context). Finally, we outline therapeutic approaches that leverage neuroscience to target maladaptive fear circuits. Understanding these mechanisms provides a foundation for advancing personalized treatments for fear-related psychopathology.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104876"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146123745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychiatric decompensation following AI chatbot use in autism spectrum disorder","authors":"Idris Altinisik,&nbsp;Hamiyet Ipek,&nbsp;Zubeyde Sisman,&nbsp;Murat Emul","doi":"10.1016/j.ajp.2026.104889","DOIUrl":"10.1016/j.ajp.2026.104889","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104889"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146155764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Re-evaluating the implementation of Indonesia’s adolescent mental health policy: A critical response to “Bridging Policy and Lived Realities”","authors":"Ulfah,&nbsp;Kadek Suhardita,&nbsp;I. Wayan Widana,&nbsp;I. Made Suarta,&nbsp;Rikas Saputra","doi":"10.1016/j.ajp.2026.104860","DOIUrl":"10.1016/j.ajp.2026.104860","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104860"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}