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From exclusion to inclusion: Why premenstrual dysphoric disorder (PMDD) research must include transgender and gender-diverse (TGD) menstruators 从排除到纳入:为什么经前烦躁不安(PMDD)研究必须包括跨性别和性别多样化(TGD)月经者
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104810
Raja Babu Ramawat , Omar Afroz , Rajesh Sagar
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引用次数: 0
Identification of risk features for methamphetamine dependence using a machine learning model and comprehensive multimodal measures 使用机器学习模型和综合多模式措施识别甲基苯丙胺依赖的风险特征。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104823
Arsalan Haider , Farhan Haider, Ana Estéveze, Dong-Mei Wang , Xiang-Yang Zhang
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引用次数: 0
Digital innovation for scaling evidence-based interventions: A balanced approach to bridging implementation gaps in let's talk about children 扩大基于证据的干预措施的数字创新:弥合实施差距的平衡方法让我们谈谈儿童。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104812
Styo Mahendra Wasita Aji, Vivi Astuti Nurlaily, Mujahidin Farid, Nanda Veruna Enun Kharisma, Eva Amalia, Herti Prastitasari, Aldy Ferdiyansyah
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引用次数: 0
Unsupervised digital counselling: Addressing the safety gap of large language models as mental health tools 无监督的数字咨询:解决大型语言模型作为心理健康工具的安全差距
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104824
Lalasa Mukku, Vikas Burri
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引用次数: 0
Between empathy and algorithms: Navigating interpersonal dynamics in AI-augmented mental health care- Discursive review 在移情和算法之间:在人工智能增强的精神卫生保健中导航人际动态-话语回顾。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104816
George V. JOY , Febu Elizabeth JOY, Abdulqadir J. NASHWAN
The rapid integration of artificial intelligence (AI) into mental health practice presents both unprecedented opportunities and substantial challenges for contemporary care systems. This discursive review critically examines how AI-enabled tools intersect with the interpersonal foundations of psychotherapy, with particular attention to empathy, therapeutic alliance, and relational dynamics. Drawing on socio-technical theory, psychotherapeutic research, and emerging literature in affective computing and neurotechnology, the review develops a conceptual framework positioning AI as an augmentative, not substitutive partner in mental health care. While AI demonstrates clear strengths in enhancing accessibility, reducing administrative burden, supporting structured interventions, and improving monitoring through data-driven insights, these advantages are counterbalanced by significant concerns. Limitations in genuine empathic capacity, risks to transference and therapeutic authenticity, potential erosion of clinician skills, and ethical tensions related to privacy, accountability, algorithmic bias, and emotional deception underscore the complexity of integrating AI into relationally grounded practices. Differential impacts across therapeutic modalities and clinical conditions reveal that structured, skills-based treatments such as cognitive-behavioral approaches benefit most from AI augmentation, whereas humanistic and psychodynamic therapies rooted in emotional presence and intersubjective meaning-making remain less amenable to technological simulation. The review further highlights the importance of hybrid care models in which human clinicians guide relational processes while AI supports precision, continuity, and scalability. Ethical implementation requires robust frameworks emphasizing transparency, informed consent, equitable access, data protection, and sustained human oversight. Emerging neurotechnologies introduce additional considerations regarding autonomy, identity, and the need for evolving “neurorights.” Overall, this review argues that the future of mental health care depends on harmonizing technological innovation with human compassion. Effective, ethical, and relationally sensitive integration of AI must preserve the therapeutic alliance at its core, ensuring that technology enhances rather than replaces the deep human processes essential to psychological healing.
人工智能(AI)与精神卫生实践的快速整合为当代护理系统带来了前所未有的机遇和重大挑战。本文批判性地考察了人工智能工具如何与心理治疗的人际基础交叉,特别关注移情、治疗联盟和关系动态。利用社会技术理论、心理治疗研究以及情感计算和神经技术方面的新兴文献,该综述开发了一个概念性框架,将人工智能定位为精神卫生保健中的辅助伙伴,而不是替代伙伴。虽然人工智能在提高可及性、减轻行政负担、支持结构化干预以及通过数据驱动的见解改善监测方面显示出明显的优势,但这些优势被一些重大问题所抵消。真正的移情能力的局限性、移情和治疗真实性的风险、临床医生技能的潜在侵蚀,以及与隐私、问责制、算法偏见和情感欺骗相关的伦理紧张关系,都突显了将人工智能整合到关系基础实践中的复杂性。不同治疗方式和临床条件的不同影响表明,结构化的、基于技能的治疗(如认知行为方法)从人工智能增强中获益最多,而基于情感存在和主体间意义创造的人文主义和心理动力学治疗仍然不太适合技术模拟。该综述进一步强调了混合护理模式的重要性,在这种模式中,人类临床医生指导相关流程,而人工智能支持准确性、连续性和可扩展性。道德实施需要强有力的框架,强调透明度、知情同意、公平获取、数据保护和持续的人为监督。新兴的神经技术引入了更多关于自主性、身份和进化“神经权利”的需要的考虑。总的来说,这篇综述认为,精神卫生保健的未来取决于协调技术创新与人类的同情心。有效的、合乎道德的、关系敏感的人工智能整合必须保持治疗联盟的核心,确保技术增强而不是取代对心理治疗至关重要的深层人类过程。
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引用次数: 0
Integrating cultural rituals and social support into perinatal mental health frameworks: Lessons from indonesian pregnancy traditions 将文化仪式和社会支持纳入围产期心理健康框架:来自印度尼西亚怀孕传统的经验教训
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104821
Mohamad Saripudin, Aip Badrujaman
The consensus article by Quah et al. (2025) offers an important framework for strengthening perinatal mental health across the Asia–Pacific region but does not sufficiently address the role of cultural wisdom and ritualized social support in maternal wellbeing. Evidence from Indonesia suggests that cultural pregnancy rituals and strong family or community support can protect against antenatal anxiety and depression, even though direct empirical studies on ritual-specific outcomes remain limited. In Indonesia, longstanding practices such as mitoni, ba bu, and topung tawar function as informal, community-driven psychosocial interventions that reinforce maternal identity, collective empathy, and emotional safety. Integrating these culturally embedded supports into regional perinatal mental health frameworks could enhance cultural relevance, strengthen community participation, and bridge gaps between formal healthcare and indigenous caregiving systems. A culturally grounded approach, guided by voluntariness and safety considerations, may contribute to more holistic and equitable maternal mental health strategies in the region.
Quah等人(2025)的共识文章为加强整个亚太地区的围产期心理健康提供了一个重要框架,但没有充分解决文化智慧和仪仪化社会支持在孕产妇福祉中的作用。来自印度尼西亚的证据表明,文化怀孕仪式和强大的家庭或社区支持可以防止产前焦虑和抑郁,尽管对特定仪式结果的直接实证研究仍然有限。在印度尼西亚,长期以来的做法,如mitoni、ba bu和topung tawar,作为非正式的、社区驱动的社会心理干预措施,加强了母亲的身份认同、集体同理心和情感安全。将这些嵌入文化的支持纳入区域围产期精神卫生框架可以增强文化相关性,加强社区参与,并弥合正规卫生保健和土著护理系统之间的差距。在自愿和安全考虑的指导下,以文化为基础的做法可能有助于在该区域制定更全面和公平的孕产妇心理健康战略。
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引用次数: 0
Addressing the paradox of help-seeking reluctance among mental health professionals 解决心理健康专业人员不愿寻求帮助的矛盾
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104819
Mohsen Khosravi
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引用次数: 0
Hemodialysis dramatically alleviates treatment-refractory psychosis in a subject with schizoaffective disorder 血液透析可显著缓解精神分裂情感障碍患者的难治性精神病
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104813
Yun-An Liu, Yi-Chyan Chen
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引用次数: 0
The long-term clinical and functional outcomes of psychiatric patients with catatonia: A 5-year follow-up 精神紧张症患者的长期临床和功能结局:5年随访。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104818
Qi-Hang Zhang , Tian Han , Xiao-Xiao He , Mathangie Gananathan , Xiao-Lin Yin , Hao-Tian Shen , Fuchun Zhou , Chuan-Yue Wang

Objective

This study aimed to compare the long-term clinical and functional outcomes between psychiatric patients with and without catatonia over a 5-year follow-up and to explore the baseline predictors of poor outcomes.

Methods

The study sample comprised 51 with catatonic and 56 non-catatonic psychiatric patients. Catatonia was assessed using the Bush-Francis Catatonia Rating Scale (BFCRS). We also determined serum high-sensitivity C-reactive protein (hs-CRP) levels at the baseline, recorded clinical outcomes during follow-up, and assessed the Global Assessment of Functioning (GAF) scale at endpoint.

Results

Follow-up data were available for 31 catatonic patients and 34 non-catatonia patients. During follow-up, the catatonic group had a significantly higher percentage of treatment-resistant cases compared to the non-catatonic group (25.8 % vs. 5.9 %). Catatonic patients had significantly more readmissions than non-catatonic patients after excluding patients with poor adherence. At the endpoint, patients in the catatonic group scored significantly lower on the GAF than those in the non-catatonic group. In the catatonic group, patients with high inflammatory levels had a significantly higher number of readmissions than those with low inflammatory levels. In the whole sample, multiple linear regression analyses revealed that baseline BFCRS scores were a significant and independent predictor of poor functional outcome at follow-up (Beta = −0.369, P = 0.002, 95 % CI: −0.008 to −0.002).

Conclusion

Findings suggest that catatonia is linked to poorer clinical outcomes and a lower level of functioning. Specifically, baseline high inflammatory levels seem to contribute to a higher relapse rate in catatonic patients.
目的:本研究旨在比较有和无紧张症的精神病患者在5年随访期间的长期临床和功能结局,并探讨不良结局的基线预测因素。方法:研究对象为51例紧张性精神病患者和56例非紧张性精神病患者。使用Bush-Francis紧张症评定量表(BFCRS)评定紧张症。我们还在基线时测定了血清高敏c反应蛋白(hs-CRP)水平,在随访期间记录了临床结果,并在终点时评估了全球功能评估(GAF)量表。结果:31例紧张症患者随访,34例非紧张症患者随访。在随访期间,与非紧张症组相比,紧张症组治疗耐药病例的百分比明显更高(25.8 %对5.9 %)。排除依从性差的患者后,紧张性患者的再入院率明显高于非紧张性患者。在终点,紧张性精神分裂症患者的GAF得分明显低于非紧张性精神分裂症患者。在紧张症组中,炎症水平高的患者再入院次数明显高于炎症水平低的患者。在整个样本中,多元线性回归分析显示,基线BFCRS评分是随访时功能预后不良的重要独立预测因子(Beta = -0.369, P = 0.002,95 % CI: -0.008至-0.002)。结论:研究结果表明,紧张症与较差的临床结果和较低的功能水平有关。具体而言,基线高炎症水平似乎有助于紧张性精神分裂症患者的复发率更高。
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引用次数: 0
Are social robots more interesting than humans? Quantitative assessment of Joint Attention in autistic and typically developing children 社交机器人比人类更有趣吗?自闭症儿童和正常发育儿童联合注意的定量评估。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-24 DOI: 10.1016/j.ajp.2025.104796
Silvia Annunziata , Gabriele Fassina , Michelle Brivio , Laura Santos , Emilia Ambrosini , Paolo Meriggi , Paola Molina , Alessandra Pedrocchi , Anna Cavallini

Introduction

Autism Spectrum Disorder (ASD) is characterized by deficits in social interaction and communication, including joint attention (JA) impairment. This observational case-control study explores quantitative JA metrics in ASD preschool-aged children and typically-developing (TD) toddlers, interacting with both a human agent and a social robot.

Material and methods

Ten ASD and sixteen Typically Developing (TD) children, matched for developmental age, participated completing two JA tasks of the “Échelle par la Communication Sociale Precoce”(ECSP)-Gaze Following and Object Spectacle-administered by both a human (ECSP-H) and a social robot NAO (ECSP-R). A Kinect Azure Camera was used to track children's gaze and five performance indicators were defined to quantify JA-related behaviors: Number of Responses to JA, Time Latency to response and Fixation Time, both towards robot and human agent.

Results

Significant group differences emerged in responsiveness to social cues, particularly in the Gaze Following task. TD children responded more consistently to human prompts (p = 0.01) and showed greater visual interest in the human agent in both ECSP-H (p < 0.01) and ECSP-R (p = 0.02) conditions. In contrast, percentage of fixations on the robot was comparable across groups.

Discussion

This study introduces unobtrusive, gaze-based quantitative measures to assess joint attention in ASD. Significant differences between ASD and TD groups suggest that children with ASD exhibited greater attentional preference to the robot agent, giving potential for these metrics in distinguishing attentional patterns in these two populations. This feature may nonetheless be clinically relevant, as it may be leveraged to facilitate attention, promote participation, and support robot-assisted therapeutic interventions.
自闭症谱系障碍(Autism Spectrum Disorder, ASD)以社会互动和沟通缺陷为特征,包括共同注意缺陷(joint attention, JA)。这项观察性病例对照研究探讨了ASD学龄前儿童和典型发育(TD)幼儿与人类代理人和社交机器人互动的定量JA指标。材料和方法:10名ASD儿童和16名正常发育儿童(TD),符合发育年龄,参与完成“Échelle par la Communication social Precoce”(ECSP)的两个JA任务-凝视跟随和物体观察-由人类(ECSP- h)和社交机器人NAO (ECSP- r)管理。使用Kinect Azure摄像头跟踪儿童的目光,并定义了五个性能指标来量化与JA相关的行为:对JA的反应次数,反应的时间延迟和注视时间,包括机器人和人类代理。结果:在对社会线索的反应上出现了显著的组间差异,特别是在凝视跟随任务中。TD儿童对人类提示的反应更一致(p = 0.01),并且在ECSP-H中对人类媒介表现出更大的视觉兴趣(p )。讨论:本研究引入了不引人注目的、基于凝视的定量测量来评估ASD的联合注意力。ASD和TD组之间的显著差异表明,ASD儿童对机器人代理表现出更大的注意力偏好,这为区分这两个人群的注意力模式提供了这些指标的潜力。尽管如此,这一特征可能具有临床相关性,因为它可以用来促进注意力,促进参与,并支持机器人辅助的治疗干预。
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Asian journal of psychiatry
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