Asian journal of psychiatry最新文献

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Bridging modern AI and traditional wisdom: A new approach for early detection of cognitive decline in Indonesia 连接现代人工智能和传统智慧：印度尼西亚早期发现认知能力下降的新方法。

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-24 DOI: 10.1016/j.ajp.2025.104739

Jacoba Nugrahaningtyas Wahjuning Utami, Nunung Nurhayati, Dwi Listiawati, Bakri Bakri, Ramtia Darma Putri, Erfan Ramadhani

引用次数: 0

Hierarchical MMN subcomponents in schizophrenia: Predictive coding biomarkers and clinical translation 精神分裂症的分层MMN子成分：预测性编码生物标志物和临床翻译。

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-24 DOI: 10.1016/j.ajp.2025.104741

Muhammad Liaquat Raza , Tayyaba Batool , Aniqa Batool , Zahra Fatima , Kinza Batool , Zoha Turabee

Mismatch negativity (MMN), a neurophysiological marker of auditory predictive coding, offers unparalleled insights into schizophrenia’s mechanistic heterogeneity. This narrative review synthesizes 25 years of evidence (2000–2025) from PubMed, Web of Science, and Scopus (keywords: mismatch negativity, schizophrenia, predictive coding, EEG biomarkers) to propose that early (∼150 ms) and late (∼250 ms) MMN subcomponents reflect distinct hierarchical disruptions. Early MMN deficits, tied to NMDA receptor hypofunction and theta oscillation abnormalities, correlate with cognitive impairment and functional decline. Late MMN impairments, associated with prefrontal predictive hierarchy failures, align with positive symptoms and dopaminergic dysregulation. By stratifying schizophrenia into neurophysiologically defined subtypes, MMN subcomponents enable personalized interventions: NMDA modulators for early deficits, neurofeedback for late abnormalities. We critique the “one-MMN-fits-all” approach, advocating for paradigms that disentangle adaptation (e.g., roving oddball) from predictive coding (local-global tasks). A dual-pathway model positions early MMN as a neurodevelopmental trait marker and late MMN as a state marker of psychosis progression. This framework bridges basic neuroscience and clinical psychiatry, advancing MMN as a translational tool for biomarker-guided care—a fitting tribute to Professor Näätänen’s enduring legacy.

失配负性（MMN）是听觉预测编码的神经生理标记，为精神分裂症的机制异质性提供了无与伦比的见解。本文综合了来自PubMed、Web of Science和Scopus（关键词：错配负性、精神分裂症、预测编码、脑电图生物标志物）25年的证据（2000-2025），提出早期（~ 150 ms）和晚期（~ 250 ms） MMN子成分反映了不同的分层中断。早期MMN缺陷与NMDA受体功能低下和θ波振荡异常有关，与认知障碍和功能下降有关。晚期MMN损伤与前额叶预测等级失败相关，与阳性症状和多巴胺能失调一致。通过将精神分裂症分层为神经生理学定义的亚型，MMN子成分可以实现个性化干预：NMDA调节剂用于早期缺陷，神经反馈用于晚期异常。我们批评“一个mmn适合所有人”的方法，提倡将适应（例如，漫游古怪）与预测编码（局部-全局任务）分开的范式。双通路模型将早期MMN定位为神经发育特征标记，晚期MMN定位为精神病进展的状态标记。这个框架连接了基础神经科学和临床精神病学，推进MMN作为生物标志物引导护理的翻译工具-这是对Näätänen教授持久遗产的恰当致敬。

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引用次数: 0

Development and validation of a mindfulness toolkit: A manual on managing patients with mild-moderate depression for primary healthcare providers 正念工具包的开发和验证：初级保健提供者管理轻度至中度抑郁症患者的手册。

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-24 DOI: 10.1016/j.ajp.2025.104743

Asma’ Khalil , Zahir Izuan Azhar , Xin Wee Chen , Norley Shuib

Background

Mental health resilience plays a pivotal role in national health strategies. Depression, a prevalent condition in Malaysia, remains under-managed in primary care due to a lack of structured, locally adapted tools.

Objective

This study aimed to validate a locally developed, evidence-based Mindfulness Toolkit tailored for primary healthcare providers managing patients with mild to moderate depression.

Methods

The toolkit was developed through a multi-stage, theory-driven process grounded in Self-Determination Theory (SDT). Development included evidence synthesis, contextual adaptation, drafting, expert review, and iterative refinement through a Modified Delphi process. A multidisciplinary panel comprising psychiatry, family medicine, public health, clinical psychology, and counselling participated. Items achieving ≥ 70 % consensus (ratings of 4 or 5) were retained. The finalized toolkit was then subjected to content and face validation by 15 experts using established indices (I-CVI, S-CVI/Ave, I-FVI, and S-FVI/Ave), with values ≥ 0.83 considered acceptable.

Results

Through a three-round Delphi process, consensus was achieved, with all retained components exceeding the threshold mean rating of 4.5. The toolkit achieved strong face and content validity. Content validity indices indicated excellent relevance, clarity, simplicity, and lack of ambiguity (S-CVI/Ave = 0.99–1.00), while face validity demonstrated high average agreement (S-FVI/Ave = 0.94), though universal agreement was moderate (S-FVI/UA = 0.43).

Conclusion

The Mindfulness Toolkit shows great potential for integration into Malaysia’s primary care system, addressing treatment gaps through a practical and culturally sensitive approach.

背景：心理健康弹性在国家卫生战略中发挥着关键作用。抑郁症是马来西亚的一种普遍疾病，由于缺乏结构化的、适合当地的工具，在初级保健中仍然管理不足。目的：本研究旨在验证本地开发的基于证据的正念工具包，该工具包专为初级卫生保健提供者管理轻度至中度抑郁症患者量身定制。方法：以自我决定理论（SDT）为基础，通过多阶段、理论驱动的过程开发工具包。开发包括证据综合、情境适应、起草、专家评审和通过改进的德尔菲过程进行迭代改进。一个由精神病学、家庭医学、公共卫生、临床心理学和咨询组成的多学科小组参加了会议。获得≥ 70 %共识的项目（评分为4或5）被保留。最终的工具包由15名专家使用既定的指数（I-CVI、S-CVI/Ave、I-FVI和S-FVI/Ave）进行内容和面部验证，值≥ 0.83被认为是可接受的。结果：通过三轮德尔菲过程，取得了共识，所有保留的成分都超过了4.5的阈值平均评分。该工具包具有较强的面孔效度和内容效度。内容效度指标表现出极好的相关性、清晰性、简洁性和无歧义性（S-CVI/Ave = 0.99 ~ 1.00），而面部效度表现出较高的平均一致性（S-FVI/Ave = 0.94），但普遍一致性为中等（S-FVI/UA = 0.43）。结论：正念工具包显示了融入马来西亚初级保健系统的巨大潜力，通过实用和文化敏感的方法解决治疗差距。

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引用次数: 0

Mental health and climate justice: Why Asian psychiatry must engage with the climate crisis 心理健康和气候正义：为什么亚洲精神病学必须参与气候危机。

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-24 DOI: 10.1016/j.ajp.2025.104748

John Jamir Benzon R. Aruta

引用次数: 0

Maternal filicide in Bangladesh: Cases and areas of prevention 孟加拉国的孕产妇杀害：案例和预防领域

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-23 DOI: 10.1016/j.ajp.2025.104740

S. M. Yasir Arafat , Chandrima Mourin, Sanjida Tanjin Khan

引用次数: 0

Psychotherapy in Southeast Asia: Addressing cultural stigma in Indonesia 东南亚的心理治疗：解决印尼的文化污名。

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-23 DOI: 10.1016/j.ajp.2025.104746

Adam Jamal, Rafialdo Arifian

引用次数: 0

Possibility of family therapy interventions involving parent-therapist alliances based on a Buddhist concept for adolescent patients who refuse psychiatric therapy 基于佛教理念的父母治疗师联盟对拒绝精神治疗的青少年患者的家庭治疗干预的可能性

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-22 DOI: 10.1016/j.ajp.2025.104742

Takuji Inagaki

引用次数: 0

Barriers and facilitators to implementing let’s talk about children: Reflections from Indonesia 实施的障碍和促进因素让我们谈谈儿童：来自印度尼西亚的思考。

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-22 DOI: 10.1016/j.ajp.2025.104745

Wilda Sumarsyah, Ardiyanto Gilang Wijaksono

引用次数: 0

Dynamic facial expression recognition deficits in schizophrenia: A classification study 精神分裂症患者动态面部表情识别缺陷：分类研究

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-21 DOI: 10.1016/j.ajp.2025.104738

Nan Chen , Yuna She , Jingkai Jiang , Leyi Li , Hongyan Liu , Zhiguo Hu

Background

Schizophrenia patients have stable and multi-dimensional facial expression recognition deficits, which affect their social function. Current clinical early screening methods for schizophrenia are limited. This study aimed to explore schizophrenia patients' expression recognition deficits and develop a discrimination model via machine learning, offering a new way for early screening and precise treatment.

Methods

Fifty-one patients with schizophrenia and sixty-two healthy controls completed a task where a face morphed from neutral to full intensity of six basic emotions over 21 s. Participants identified emotions by pressing a key and labeling the emotion. Clinical symptoms of patients were assessed using the Positive and Negative Syndrome Scale, the Scale for the Assessment of Negative Symptoms, the Scale for the Assessment of Positive Symptoms, and the Brief Psychiatric Rating Scale.

Results

Schizophrenia patients had significantly lower accuracy in recognizing fear, disgust, anger, and happiness, and lower sensitivity to fear, sadness, and happiness than healthy controls. They also had trouble recognizing negative emotions and often confused happiness with them. Symptom severity negatively correlated with the facial expression recognition ability. The screening model achieved 79 % accuracy and an AUC of 0.84, with potential for 0.88 sensitivity and 0.89 specificity when indicators were optimized.

Conclusion

This study confirms that schizophrenia patients exhibit significant deficits in facial expression recognition accuracy, error patterns, and sensitivity, all of which are negatively correlated with the symptom severity. The screening model based on these indicators achieves a high AUC value and sensitivity, showing potential as a convenient auxiliary tool for the early screening of schizophrenia.

精神分裂症患者具有稳定性和多维度面部表情识别缺陷，影响其社交功能。目前精神分裂症的临床早期筛查方法有限。本研究旨在探索精神分裂症患者的表达识别缺陷，并通过机器学习建立识别模型，为早期筛查和精准治疗提供新的途径。方法51名精神分裂症患者和62名健康对照者完成了一项任务，该任务是在21 时间内将6种基本情绪的强度从中性变为完全。参与者通过按下一个键并标记情绪来识别情绪。采用阳性与阴性综合征量表、阴性症状评定量表、阳性症状评定量表和精神病学简易评定量表对患者的临床症状进行评定。结果精神分裂症患者对恐惧、厌恶、愤怒和快乐的识别准确率明显低于健康对照组，对恐惧、悲伤和快乐的敏感性明显低于健康对照组。他们也很难识别负面情绪，经常把快乐和负面情绪混为一谈。症状严重程度与面部表情识别能力呈负相关。筛选模型的准确率为79 %，AUC为0.84，优化指标后的敏感性为0.88，特异性为0.89。结论本研究证实，精神分裂症患者在面部表情识别的准确性、错误模式和敏感性方面存在显著缺陷，且这些缺陷与症状严重程度呈负相关。基于这些指标的筛查模型具有较高的AUC值和灵敏度，有望成为精神分裂症早期筛查的便捷辅助工具。

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引用次数: 0

Institutional innovations for mental health policy in indonesian higher education: Addressing structural and cultural barriers 印度尼西亚高等教育精神卫生政策的体制创新：解决结构和文化障碍

IF 4.5 4区医学 Q1 PSYCHIATRY

Asian journal of psychiatry

Pub Date : 2025-10-20 DOI: 10.1016/j.ajp.2025.104735

Revienda Anita Fitrie, Adam Jamal, Aninditya Ardhana Riswari

引用次数: 0

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