SSRI/SNRI and long COVID in children and adolescents with neuropsychiatric conditions: a cohort study from the RECOVER Initiative [0.03%]
儿童和青少年神经精神疾病患者的SSRI/SNRI与长期新冠症状：来自RECOVER计划的一项队列研究
Ting Zhou,Bingyu Zhang,Yiwen Lu et al.
Ting Zhou et al.
Long COVID has been an important health concern in children and adolescents, yet factors associated with its development remain incompletely understood. Selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake i...
Stability of childhood maltreatment self-reports: a systematic review and meta-analysis [0.03%]
儿童虐待自陈稳定性的系统评价和荟萃分析
Oonagh Coleman,Maya Al-Jaber,Geethma Aponsu et al.
Oonagh Coleman et al.
Research and clinical practice on childhood maltreatment largely rely on retrospective self-reports. However, self-reports are often considered unreliable due to concerns about memory biases and shifting subjective appraisals. Here, in a me...
The neuroimaging correlates of depression established across six large-scale population datasets [0.03%]
基于六项大型人群数据集建立的抑郁症神经影像学标志物
Kassandra Miyoko Hamilton,Xiaoke Luo,Ty Easley et al.
Kassandra Miyoko Hamilton et al.
Depression has been linked to reduced size of subcortical regions and abnormal functional connectivity in frontal and default mode networks. However, recent meta-analyses have failed to identify significant converging correlates of depressi...
Intersecting trajectories of childhood ADHD, socioeconomic deprivation and distinct multimorbidity patterns in women [0.03%]
儿童注意力缺陷多动障碍、社会经济剥夺与女性不同共病模式的交叉轨迹研究
Naomi Wilson,Kirstie O&#x;Hare,Helen Minnis et al.
Naomi Wilson et al.
The long-term consequences of attention deficit hyperactivity disorder (ADHD) in females remain underrecognized both in research and clinical practice. Multimorbidity (two or more long-term conditions) is increasingly viewed as a key outcom...
Adolescent multi-omics and Mendelian randomization reveal transdiagnostic molecular mechanisms in psychiatric disorders [0.03%]
青少年多组学和孟德尔随机化在精神病障碍中揭示了跨越诊断的分子机制
Luheng Qian,Runye Shi,Xinyang Yu et al.
Luheng Qian et al.
The biological mechanisms underlying major neuropsychiatric disorders remain largely elusive. Given the frequent association of immune dysregulation with these conditions, we used blood-derived multi-omics data from 1,274 healthy adolescent...
Unpredictability is a childhood adversity that contributes to mental health problems [0.03%]
不可预测性是一种童年逆境，会带来心理健康问题
Laura M Glynn,Sabrina R Liu,Charles Golden et al.
Laura M Glynn et al.
Although adverse childhood experiences (ACEs) increase risk for mental illness at the population level, existing ACEs screens are less helpful in forecasting individual outcomes, suggesting they may not capture significant elements of child...
Multi-organ AI endophenotypes chart the heterogeneity of brain, eye and heart pan-disease [0.03%]
多器官AI内在表型描绘了脑、眼和心脏疾病的异质性
MULTI Consortium;Aleix Boquet-Pujadas,Filippos Anagnostakis,Zhijian Yang et al.
MULTI Consortium;Aleix Boquet-Pujadas et al.
Disease heterogeneity and commonality pose significant challenges to precision medicine, as traditional approaches frequently focus on single disease entities and overlook shared mechanisms across conditions. Inspired by pan-cancer and mult...
Generalizable structure-function covariation predictive of antidepressant response revealed by target-oriented multimodal fusion [0.03%]
基于靶点的多模态融合发现可推广的精神疾病结构功能变异的抑郁药效预测模型
Xiaoyu Tong,Kanhao Zhao,Gregory A Fonzo et al.
Xiaoyu Tong et al.
Major depressive disorder (MDD) is a prevalent condition that profoundly impairs quality of life across diverse populations. Despite widespread use, current antidepressant and psychotherapeutic treatments exhibit limited efficacy and unsati...
A precision medicine trial of bupropion and sertraline for major depressive disorder using a biomarker-guided sequential multiple-assignment design [0.03%]
基于生物标志物指导的序贯多次赋值设计用于重度抑郁症患者苯乙肼和舍曲林精准医疗研究的试验
Peter Zhukovsky,Manuel Kuhn,Lauren R Borchers et al.
Peter Zhukovsky et al.
Treatment for major depressive disorder (MDD) remains challenging as only 30-50% of patients respond to first-line antidepressant medications in primary care. Here we developed algorithms using predictors of response to sertraline and bupro...
Modeling how autistic and non-autistic groups learn about their own and each other's preferences [0.03%]
自闭症和非自闭症群体的学习模型：自身与对方偏好的学习
Shannon Cahalan,Raphael Perla,Sophia Block et al.
Shannon Cahalan et al.
Recent theories propose that altered social understanding in autism stems from mismatches in social representations and inferential processes between non-autistic and autistic groups. Using a cross-sectional design, we examined whether thes...