World Journal of Psychiatry最新文献

{"title":"Neural correlates of aggression in schizophrenia: An event-related potential study using the competitive reaction time task.","authors":"Lin Zhang, Qian Mei, Jia-Zhao Zhang, Li-Min Chen, Xiao-Hong Liu, Zhen-He Zhou, Hong-Liang Zhou","doi":"10.5498/wjp.v15.i8.109280","DOIUrl":"10.5498/wjp.v15.i8.109280","url":null,"abstract":"<p><strong>Background: </strong>The neural mechanisms underlying aggressive behavior in schizophrenia (SCZ) remain poorly understood. To date, no studies have reported on the event-related potential (ERP) characteristics of aggression in SCZ using the competitive reaction time task (CRTT). Further investigation into the ERP correlates of aggression in SCZ would provide valuable insights into the neural processes involved.</p><p><strong>Aim: </strong>To explore the neural mechanism of aggressive behavior in SCZ.</p><p><strong>Methods: </strong>Participants of this study included 40 SCZ patients and 42 healthy controls (HCs). The Reactive Proactive Aggression Questionnaire was used to assess trait of aggression. The Barratt Impulsiveness Scale 11 was used to measure impulsiveness. The Positive and Negative Symptom Scale (PANSS) was used to evaluate psychopathological features and disease severity. All participants were measured with ERP while performing the CRTT. Data of behavior, ERP components (P2, N2, and P3), and feedback-related negativity (FRN) were analyzed.</p><p><strong>Results: </strong>Analysis of the behavioral data revealed that compared with HCs, SCZ patients exhibited higher punishment choices. Analysis of ERP components showed that compared with HCs, SCZ patients exhibited higher N2 amplitudes and P2 amplitudes during the decision phase of the CRTT; however, SCZ patients exhibited lower FRN amplitudes and lower P3 amplitudes during the outcome phase of the CRTT. The N2 amplitudes evoked by high-intensity provocation were positively related to PANSS-P scores. And the P3 amplitudes evoked in the winning trials were negatively correlated with the PANSS-G scores.</p><p><strong>Conclusion: </strong>SCZ patients exhibit abnormal ERP characteristics evoked by the CRTT, which suggests the neural correlates of aggressive behavior in SCZ.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"109280"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Portable electroencephalography in early detection of depression: Progress and future directions.","authors":"Pan Wang, An-Lu Dai, Xuan-Ru Guo, Hai-Teng Jiang","doi":"10.5498/wjp.v15.i8.107725","DOIUrl":"10.5498/wjp.v15.i8.107725","url":null,"abstract":"<p><p>Traditional diagnostic tools for depression, such as the Patient Health Questionnaire-9, are susceptible to subjective bias, increasing the risk of misdiagnosis and emphasizing the critical need for objective biomarkers. This minireview evaluates the emerging role of portable electroencephalography (EEG) as a cost-effective, accessible solution for early depression detection. By synthesizing findings from 45 studies (selected from 764 screened articles), we highlight EEG's capacity to identify aberrant neural oscillations associated with core depressive symptoms, including anhedonia, excessive guilt, and persistent low mood. Advances in portable systems demonstrate promising classification accuracy when integrated with machine learning algorithms, with long short-term memory models achieving > 90% accuracy in recent trials. However, persistent challenges, such as signal quality variability, motion artifacts, and limited clinical validation, hinder widespread adoption. Further innovation in sensor optimization, multimodal data integration, and real-world clinical trials is essential to translate portable EEG into a reliable diagnostic tool. This minireview underscores the transformative potential of neurotechnology in psychiatry while advocating for rigorous standardization to bridge the gap between research and clinical practice.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"107725"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362709/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China.","authors":"Jia-Min Chen, Mei Rao, Yu-Ting Wei, Qiong-Gui Zhou, Jun-Long Tao, Shi-Bin Wang, Bo Bi","doi":"10.5498/wjp.v15.i8.106622","DOIUrl":"10.5498/wjp.v15.i8.106622","url":null,"abstract":"<p><strong>Background: </strong>Female depression is a prevalent and increasingly recognized mental health issue. Due to cultural and social factors, many female patients still face challenges in diagnosis and treatment, and traditional assessment methods often fail to identify high-risk individuals accurately. This highlights the necessity of developing more precise predictive tools. Utilizing machine learning (ML) algorithms to construct predictive models may overcome the limitations of traditional methods, providing more comprehensive support for women's mental health.</p><p><strong>Aim: </strong>To construct an ML-nomogram hybrid model that translates multivariate risk predictors of female depressive symptoms into actionable clinical scoring thresholds, optimizing predictive accuracy and interpretability for healthcare applications.</p><p><strong>Methods: </strong>We analyzed data from 7609 female participants aged 18 to 85 years from the Guangdong Provincial Sleep and Psychosomatic Health Survey. Sixteen variables, including anxiety symptoms, insomnia, chronic diseases, exercise habits, and age, were selected based on prior literature and comprehensively incorporated into ML models to maximize predictive information utilization. Three ML algorithms, extreme gradient boosting, support vector machine, and light gradient boosting machine, were employed to construct predictive models. Model performance was evaluated using accuracy, precision, recall, F1 score, and area under the curve (AUC). Feature importance was interpreted using SHapley Additive exPlanations (SHAP), with ablation studies validating the impact of the top five SHAP-derived features on predictive performance, and a nomogram was constructed based on these prioritized predictors. Clinical utility was assessed through decision curve analysis.</p><p><strong>Results: </strong>The prevalence of depressive symptoms was 6.8% among the sample. The evaluation of predictive models revealed that light gradient boosting machine achieved a top-performing AUC of 0.867, placing it ahead of extreme gradient boosting (AUC = 0.862) and support vector machine (AUC = 0.849). SHAP analysis identified insomnia, anxiety symptoms, age, chronic disease, and exercise as the top five predictors. The nomogram based on these features demonstrated excellent discrimination (AUC = 0.910) and calibration, with significant net benefits in decision curve analysis compared to baseline strategies. The model effectively stratifies depressive symptoms risk, facilitating personalized and quantitative assessments in clinical settings. We also developed an interactive digital version of the nomogram to facilitate its application in clinical practice.</p><p><strong>Conclusion: </strong>The ML-based model effectively predicts depressive symptoms in women, identifying insomnia, anxiety symptoms, age, chronic diseases, and exercise as key predictors, offering a practical tool for early detection and intervention.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"106622"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362627/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decreased inter- and intra-network connectivity after group cognitive behavioral therapy in patients with unmedicated obsessive-compulsive disorder.","authors":"Zong-Feng Zhang, Yan He, Yu-Qiu Su, Ji-Meng Liu","doi":"10.5498/wjp.v15.i8.107860","DOIUrl":"10.5498/wjp.v15.i8.107860","url":null,"abstract":"<p><strong>Background: </strong>Group cognitive behavioral therapy (GCBT) is increasingly being used to treat obsessive-compulsive disorder (OCD) because of its high efficiency, economy, and interaction among group members. However, the changes in network functional connectivity (FC) in patients with OCD with GCBT remain unclear.</p><p><strong>Aim: </strong>To investigate inter- and intra-network resting-state FC (rs-FC) abnormalities before and after GCBT in unmedicated patients with OCD and validate the efficacy of GCBT.</p><p><strong>Methods: </strong>Overall, 33 individuals with OCD and 26 healthy controls underwent resting-state functional magnetic resonance imaging. The patients were rescanned 12 weeks after GCBT. Four cognition-related networks-default mode network (DMN), dorsal attention network (DAN), salience network (SAN), and frontoparietal network (FPN)-were selected to examine FC abnormalities within and between OCD networks before and after GCBT. Neuropsychological assessments including memory, executive function, speech, attention, and visuospatial ability were reassessed following GCBT. Pearson's correlations were used to analyze the relationship between aberrant FC in cognition-related networks and altered neuropsychological assessments in patients.</p><p><strong>Results: </strong>Rs-FC within the DMN and DAN decreased significantly. Additionally, rs-FC between the DMN-DAN, DMN-FPN, DMN-SAN, and DAN-SAN also decreased. Significant improvements were observed in cognitive functions, such as memory, executive function, attention, and visuospatial ability. Furthermore, reduced rs-FC within the DMN correlated with visuospatial ability and executive function; DAN positively correlated with Shape Trails Test (STT)-A test elapsed time; DMN-DAN negatively correlated with Rey-Osterrieth Complex Figure (Rey-O) mimicry time and the three elapsed times of the tower of Hanoi; DMN-SAN negatively correlated with Rey-O imitation time and positively correlated with STT-A test elapsed time; and DMN-FPN negatively correlated with Auditory Word Learning Test N1 and N4 scores.</p><p><strong>Conclusion: </strong>Decreased rs-FC within the DMN and DAN, which correlated with executive function post-treatment, has potential as a neuroimaging marker to predict treatment response to GCBT in patients with OCD.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"107860"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362599/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of ChatGPT use on eating disorders and body image.","authors":"Hilal Toklu Baloğlu","doi":"10.5498/wjp.v15.i8.107122","DOIUrl":"10.5498/wjp.v15.i8.107122","url":null,"abstract":"<p><p>Chat Generative Pre-trained Transformer (ChatGPT) is a conversational service that uses artificial intelligence and is also known as a chatbot. ChatGPT and similar applications have the potential to be a tool that can be used in the field of psychiatry. Eating disorders affect a large number of individuals worldwide. Tools that encourage and support people with eating disorders to seek mental health services may be critical to helping them get the care they need. However, body image, defined as the totality of a person's thoughts and perceptions about their physical appearance, has been linked to a variety of health problems, particularly among young adults, about eating disorders. There is limited literature on how chatbots respond to or provide information about body image. Preventing eating disorders before they occur is also of great importance. However, young adults who struggle with body image perception may be misled by the information produced by ChatGPT. Studies have yet to clarify whether a chatbot can improve eating disorder-related factors, eating disorder psychopathology, depression, and anxiety or detect eating disorders in advance. This study focuses on the accuracy of ChatGPT in providing information regarding eating disorders and its potential effects on body image perception.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"107122"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362626/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electroacupuncture ameliorates visceral hypersensitivity and negative emotions by regulating paraventricular hypothalamic nucleus and colonic corticotropin-releasing factor signaling.","authors":"Jian-Gang Xu, Yi Yuan, Hong-Kun Ma, Shun Huang, Shan-Lan Zhu, Tan-Ting Li, Xi-Yang Wang, Guo-Ming Shen, Hao Wang","doi":"10.5498/wjp.v15.i8.107342","DOIUrl":"10.5498/wjp.v15.i8.107342","url":null,"abstract":"<p><strong>Background: </strong>Visceral hypersensitivity is the core pathogenesis of irritable bowel syndrome (IBS) and is often accompanied by negative emotions such as anxiety or depression. Paraventricular hypothalamic nucleus (PVN) corticotropin-releasing factor (CRF) is involved in the stress-related gastrointestinal dysfunction. Electroacupuncture (EA) has unique advantages for the treatment of visceral hypersensitivity and negative emotions in IBS patients. However, the underlying mechanisms remain unclear.</p><p><strong>Aim: </strong>To investigate the pathological mechanisms visceral hypersensitivity and negative emotions in IBS, as well as the effect mechanism of EA.</p><p><strong>Methods: </strong>A model of diarrhoeal IBS (IBS-D) with negative emotions was prepared by chronic restraint combined with glacial acetic acid enema. The effect of EA was verified by abdominal withdrawal reflex and open-field test. PVN CRF-colonic mast cell (MC)/transient potential receptor vanilloid type 1 (TRPV1) pathway was detected by immunofluorescence, Western blot, ELISA, and toluidine blue staining. Moreover, PVN CRFergic neurons were activated or inhibited by chemogenetical technique to observe the changes of effect indicator.</p><p><strong>Results: </strong>In the model group, IBS-D symptoms and negative emotions were successfully induced. Notably, the combination of Baihui (GV20) with Tianshu (ST25) and Dachangshu (BL25) acupoints showed the greatest efficacy in improving the negative emotions and visceral hypersensitivity in model mice. Furthermore, we found that EA inhibited overactivated PVN CRFergic neurons and the overexpression of serum CRF, colonic CRF, CRF-receptor 1 (CRF-R1), mast cell tryptase (MCT), protease-activated receptor 2 and TRPV1 in model mice. Moreover, we found that activating PVN CRFergic neurons induced negative emotions and visceral hypersensitivity in normal mice; however, inhibiting PVN CRFergic neurons alleviated negative emotions and intestinal symptoms in model mice and decreased the expression of colonic CRF-R1, MCT, and TRPV1.</p><p><strong>Conclusion: </strong>This research highlights the key role of PVN CRF-MC CRF-R1 and the downstream MC/TRPV1 pathway in the pathological process of IBS-D and the mechanism of the effect of EA.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"107342"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362633/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Informed consent competency assessment for brain-computer interface clinical research and application in psychiatric disorders: A systematic review.","authors":"Jia-Yue Si, Zi-Yan Lin, Di-Ga Gan, Xin-Yang Zhang, Yan-Nan Liu, Yu-Xin Hu, Yan-Ping Bao, Xue-Qin Wang, Hong-Qiang Sun, Xin Yu, Lin Lu","doi":"10.5498/wjp.v15.i8.107593","DOIUrl":"10.5498/wjp.v15.i8.107593","url":null,"abstract":"<p><strong>Background: </strong>Brain-computer interface (BCI) technology is rapidly advancing in psychiatry. Informed consent competency (ICC) assessment among psychiatric patients is a pivotal concern in clinical research.</p><p><strong>Aim: </strong>To analyze the assessment of ICC and form a framework with multi-dimensional elements involved in ICC of BCI clinical research among psychiatric disorders.</p><p><strong>Methods: </strong>A systematic review of studies regarding ICC assessments of BCI clinical research in patients with six kinds of psychiatric disorders was conducted. A systematic literature search was performed using PubMed, ScienceDirect, and Web of Science. Peer-reviewed articles and full-text studies were included in the analysis. There were no date restrictions, and all studies published up to February 27, 2025, were included.</p><p><strong>Results: </strong>A total of 103 studies were selected for this review. Fifty-eight studies included ICC factors, and forty-five were classified in ICC related ethical issues of BCI research in six kinds of psychiatric disorders. Executive function impairment is widely recognized as the most significant factor impacting ICC, and processing speed deficits are observed in schizophrenia, mood disorders, and Alzheimer's disease. Memory dysfunction, particularly episodic and working memory, contributes to compromised ICC. Five core ethical issues in BCI research should be addressed: BCI specificity, vulnerability, autonomy, dynamic ICC, comprehensiveness, and uncertainty.</p><p><strong>Conclusion: </strong>A Five-Dimensional evaluative framework, including clinical, ethical, sociocultural, legal, and procedural dimensions, is constructed and proposed for future ICC research in BCI clinical research involving psychiatric disorders.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"107593"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362645/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interaction between the brain and multiple organ systems in schizophrenia.","authors":"Jin Lin, Si-Tong Feng, Zi-Yao Wu, Lin-Rui Dong, Dong-Qing Yin, Hong Zhu, Hong-Xiao Jia, Yan-Zhe Ning","doi":"10.5498/wjp.v15.i8.107696","DOIUrl":"10.5498/wjp.v15.i8.107696","url":null,"abstract":"<p><p>Schizophrenia is characterized by psychotic symptoms, negative symptoms, and cognitive deficits, profoundly affecting individuals and their families. The etiology is multifactorial, involving genetic, endocrine, and immunological risk factors. It is thought that schizophrenia is exclusively linked to alterations in brain structure and function, while the relationship between the brain and many organs may lack sufficient attention. Increasing evidence indicates abnormalities of the interactions between the brain and many organs in patients with schizophrenia. Inter-organ crosstalk affects the onset, course, and management of schizophrenia. Besides, the complex relationship between autonomic nervous system, endocrine system, and immune system further facilitates the development of schizophrenia. The present review summarizes the relationships between the brain and multiple organ systems in schizophrenia, providing new perspectives on the underlying pathophysiological mechanisms of schizophrenia.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"107696"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interplay among bedtime procrastination, sleep patterns, and subjective wellbeing in the Indian population: An observational study.","authors":"Gunjan Parasher, Shikhar Gupta, Sujita Kumar Kar","doi":"10.5498/wjp.v15.i8.106092","DOIUrl":"10.5498/wjp.v15.i8.106092","url":null,"abstract":"<p><strong>Background: </strong>Sleep deprivation is a common problem in society, and bedtime procrastination (BtP) has become a significant cause of poor sleep among healthy individuals across various countries.</p><p><strong>Aim: </strong>To study BtP, sleep behavior, and subjective well-being in the Indian population.</p><p><strong>Methods: </strong>This was a cross-sectional study. The recruited participants were evaluated using the BtP Scale, World Health Organzation-5 Well-Being index, Patient Health Questionnaire-2, Generalized Anxiety Disorder 2-item, Munich Chronotype Questionnaire and Single-Item Sleep Quality Scale.</p><p><strong>Results: </strong>A total of 401 participants were recruited for the study. Symptoms of anxiety were higher in the female participants compared to males. Among females, there was a significant positive correlation between BtP score with symptoms of anxiety (<i>r</i> = 0.23) and depression (<i>r</i> = 0.15) and a negative correlation with subjective wellbeing (<i>r</i> = -0.23). A significant negative correlation was found between the ages of women and BtP score (<i>r</i> = -0.15). Among the male participants, there was a significant negative correlation of age with BtP score (<i>r</i> = -0.3) and anxiety (<i>r</i> = -0.19). Here, too, the BtP score was positively correlated with depression (<i>r</i> = 0.18) and anxiety (<i>r</i> = 0.35).</p><p><strong>Conclusion: </strong>BtP worsens anxiety, depression, sleep quality, and subjective well-being. It needs to be targeted for the promotion and prevention of mental health.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"106092"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362673/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acceptance and commitment therapy applied to early psychosis: Therapeutic foundations and a narrative systematic review.","authors":"Josep Pena-Garijo, Tábata Baeza-Mor, José Martinez-Raga","doi":"10.5498/wjp.v15.i8.107313","DOIUrl":"10.5498/wjp.v15.i8.107313","url":null,"abstract":"<p><strong>Background: </strong>Acceptance and commitment therapy (ACT) is a third-generation therapy that appears to be a promising psychological intervention for psychotic disorders. While several systematic reviews and meta-analyses that address the efficacy of ACT for psychosis have been conducted, no systematic review has specifically focused on the application of ACT to the early stages of psychosis.</p><p><strong>Aim: </strong>To review the state of the art regarding the feasibility and efficacy of treating early psychosis (EP) with ACT-based interventions.</p><p><strong>Methods: </strong>First, we describe the foundations of the ACT model to provide the background required to contextualize the main objective of this review. Second, we searched the PubMed and PsycINFO databases for studies published up to January 2025 and identified eight studies that met our selection criteria. The systematic review was conducted in accordance with the PRISMA guidelines and the critical appraisal checklist provided by the Joanna Briggs Institute for randomized controlled trials (RCTs).</p><p><strong>Results: </strong>All studies were published after 2019. Among the reviewed studies, five were RCTs with a total combined sample of 399 nonoverlapping participants. The methodological quality was moderate for RCTs. The results showed that ACT-based treatments are feasible and improve psychotic symptoms, medication adherence, and global functioning in patients with EP. Furthermore, preliminary evidence exists for the benefits of group-based and online-delivered programs and those that combine face-to-face therapy with novel real-time digital interventions, such as \"ecological momentary intervention\", to apply therapeutic concepts to real life.</p><p><strong>Conclusion: </strong>ACT-based treatments in the early stages of psychosis are feasible and improve symptoms, treatment adherence, and self-care skills. Although promising, these results are inconclusive. Further research is required.</p>","PeriodicalId":23896,"journal":{"name":"World Journal of Psychiatry","volume":"15 8","pages":"107313"},"PeriodicalIF":3.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12362643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144971515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}