Links between parental internalizing disorder severity and default mode network connectivity in adolescent offspring [0.03%]
父母内部化障碍严重程度与青少年后代默认模式网络连接之间的关系
Su Lynn Tan,McKinley Pawlak,Signe Bray et al.
Su Lynn Tan et al.
Background: Internalizing disorders have been linked to alterations in default mode network (DMN) resting-state functional connectivity (RSFC). Given the increased risk of internalizing disorders in offspring of parents w...
The impact of Open Dialogue on health care costs: A nationwide register-based cohort study among young Danes in acute psychiatric crises [0.03%]
开放式对话对医疗保健成本的影响：一项关于急性精神病危机中的丹麦年轻人的全国登记队列研究
Liza Sopina,Annette Erlangsen,Niels Buus et al.
Liza Sopina et al.
Background: Open Dialogue has been linked to better outcomes and reduced hospital admissions amongst patients with mental health problems. Yet, information on associated health care costs is scarce. ...
Urinary pesticide biomarker associations with depression and anxiety scores from adolescence into young adulthood in the ESPINA cohort [0.03%]
青春期至青年期尿液农药生物标志物与ESPINA队列中抑郁和焦虑评分的关系
Briana N C Chronister,Mohammed N Hussari,Dolores Lopez-Paredes et al.
Briana N C Chronister et al.
Introduction: Growing evidence suggests pesticide exposure can affect emotional well-being; limited research exists across adolescence and young adulthood. We examined cross-sectional and longitudinal associations of pest...
Beyond medication choice: Predictors of psychiatric readmission after inpatient initiation of long-acting injectable antipsychotics [0.03%]
长效注射抗精神病药物住院开药后的再入院预测因素——除了药物选择之外的因素
Sean T Lynch,Angelo I Chaia,Kathryn Brooke Renard et al.
Sean T Lynch et al.
Background: Long-acting injectable (LAI) antipsychotics are frequently initiated during psychiatric hospitalization to improve adherence and reduce relapse risk. However, real-world data comparing outcomes across LAI form...
Cerebral metabolism as an isolated predictor of 50% symptomatic improvement over 12 weeks of acute psychotic episode treatment in schizophrenia [0.03%]
代谢作为预测 schizophrenic 急性发作治疗12周内症状改善的一项独立指标
Paulina Donicz,Wirginia Krzyściak,Marta Szwajca et al.
Paulina Donicz et al.
Background: Schizophrenia outcomes remain suboptimal due to relapses, treatment resistance and limited measurement tools for assessing treatment goals and effectiveness. This study identified predictors of symptomatic imp...
Vitamin D mitigates post-stroke depression by rescuing IL-6-mediated BDNF reduction [0.03%]
维生素D通过逆转白细胞介素-6介导的脑源性神经营养因子减少来缓解中风后抑郁症状
Guiqian Huang,Jiahao Chen,Jingfang Long et al.
Guiqian Huang et al.
Background: Post-stroke depression (PSD) is a common complication after stroke, while Vitamin D (VD) deficiency is common in stroke patients. This study aims to investigate the relationship between VD and PSD, as well as ...
The structural core of dual diagnosis: Personality structure profiles in substance use disorders with and without Comorbid personality pathology [0.03%]
共病人格病理的物质使用障碍的人格结构剖面
Erika Fanti,Caterina Felici,Rossella Di Pierro et al.
Erika Fanti et al.
The coexistence of substance use disorders (SUDs) and personality disorders (PDs) is a complex and frequent phenomenon that presents significant clinical challenges. This study adopted Kernberg's Object Relations Theory (ORT) to explore dif...
Comprehensive integrative analysis of Exosome-associated genes in major depressive disorder: Diagnostic biomarker discovery, immune modulation, and therapeutic implications [0.03%]
外泌体相关基因在抑郁症中的综合分析：诊断生物标志物发现、免疫调节和治疗意义
Ying Li,Jinsong Huang,Peidong Miao et al.
Ying Li et al.
Objective: This study systematically analyzed the expression profiles of exosome-associated genes in Major Depressive Disorder (MDD), constructed diagnostic models, and explored their association with immune regulation, p...
Glutamatergic neurotransmission in violence and psychosis: an LTP-like cortical plasticity study [0.03%]
谷氨酸能神经传导在暴力和精神病中的作用：一种类似LTP的大脑皮层可塑性研究
Nina Bang,Merete Berg Nesset,Kirsten Rasmussen et al.
Nina Bang et al.
Background: Among the various mechanisms implicated in abnormal aggression and violent behavior, impaired glutamatergic neurotransmission may represent one contributing factor. However, this hypothesis has been insufficie...
Systematic review of machine learning and deep learning models for EEG-based detection of depression [0.03%]
基于EEG的抑郁症检测的机器学习和深度学习模型系统回顾
Gerardo Ramiro Luna-Guevara,Ingrid Vargas-Huicochea,Ana Carolina Rodríguez-Machain
Gerardo Ramiro Luna-Guevara
Objective: Depression is a leading cause of global disability, motivating the development of objective and scalable diagnostic approaches. Quantitative electroencephalography (QEEG) combined with machine learning (ML) and...