Dual-representation structural MRI classification of psychiatric disorders using deep learning and large language models [0.03%]
基于深度学习和大型语言模型的精神病结构MRI双表征分类
Hidir Selcuk Nogay,Hojjat Adeli
Hidir Selcuk Nogay
Accurate differentiation among psychiatric disorders such as schizophrenia and bipolar disorder remains a significant clinical challenge due to overlapping symptoms and subtle neuroanatomical variations. This study proposes a dual-represent...
Impact of genetic variants on hippocampal volume among individuals with schizophrenia and bipolar disorders [0.03%]
精神分裂症和双相情感障碍患者中遗传变异对海马体积的影响研究
Tommaso Toffanin,Giulia Ida Perini,Halima Follador et al.
Tommaso Toffanin et al.
Background and hypothesis: Hippocampal volume reduction is a consistent finding in schizophrenia (SCZ) and bipolar disorder type I (BP-I), yet the role of genetic factors remains unclear. We investigated the influence of ...
EEG/MEG-based biomarkers of cognitive training effects in schizophrenia: A systematic review [0.03%]
基于EEG/MEG的精神分裂症认知训练效应生物标志物的系统综述
Alp Eren Yüce,Işın Yaman,Serdar Gündoğdu
Alp Eren Yüce
This systematic review aims to evaluate the effects of cognitive training methods on brain electrical activity in patients with schizophrenia, focusing on studies published between January 2010 and October 2025 in the PubMed and Web of Scie...
Structural connectivity correlates of response to electroconvulsive therapy in treatment-resistant depression [0.03%]
难治性抑郁电休克治疗反应的结构连接预测因素研究
María Eugenia Samman,Leticia Fiorentini,Delfina Lahitou Herlyn et al.
María Eugenia Samman et al.
Electroconvulsive therapy (ECT) remains the most effective intervention for treatment-resistant depression (TRD). We investigated whether cortico-limbic structural connectivity is associated with ECT response. Twenty-nine TRD patients under...
Unraveling the neural underpinnings of major depressive disorder and pain: A mendelian randomization study and mediation analysis [0.03%]
揭开主要抑郁障碍和疼痛的神经内在机制：孟德尔随机化研究和中介分析
Jingqi Jiang,Shu Cui,Jun Wang et al.
Jingqi Jiang et al.
Major depressive disorder (MDD) frequently co-occurs with chronic pain, yet the underlying biological mechanisms remain unclear. This study employed a two-sample bidirectional mendelian randomization (MR) design to investigate the causal re...
Dysfunction of the superior occipital gyrus in individuals with subclinical social anxiety and its mediating effect on gray matter structure [0.03%]
顶下回功能障碍在社交焦虑症状亚临床人群中的作用及其对灰质结构的中介效应
Fangfang Huang,Shuai Ren,Yuan Huang et al.
Fangfang Huang et al.
The investigation of neuroimaging abnormalities of young adults with subclinical social anxiety will contribute to understand the brain mechanism of social anxiety during developing on early stage. In this study, we recruited twenty-six you...
Identification of major depressive disorder based on Triple-GCN model constructed with multimodal elastic network from higher-order brain connectivity [0.03%]
基于多模态弹性网络的三重GCN模型在重大抑郁障碍中的构建及应用研究
Ying Zou,Helu Shan,Yuan Li
Ying Zou
Major Depressive Disorder (MDD) is the common mental health disease threatening human well-being. Several neuroimaging studies show that analyzing neural connectivity patterns improved diagnostic accuracy, though most approaches overlook no...
Advancing precision psychiatry: Machine learning integration with neuroimaging for early detection and diagnosis of Obsessive-Compulsive Disorder [0.03%]
推进精准精神病学：机器学习与神经影像结合用于早期发现和诊断强迫症
Wijdan S Aljebreen,Norah A Alturaiqi,Muna I Almushyti et al.
Wijdan S Aljebreen et al.
Early detection of Obsessive-Compulsive Disorder (OCD), a chronic mental health condition characterized by intrusive thoughts and repetitive behaviors, is crucial for improving patient outcomes. Traditional diagnostic methods rely heavily o...
Early effects of oral naltrexone on craving, resting state and cue-induced brain activation in opioid use disorder: a prospective fMRI study [0.03%]
口服纳曲酮对阿片类物质使用障碍患者渴求、静息态及成瘾线索诱导脑功能活动的影响：一项功能性磁共振成像研究
Malsawmkima Kullai,Sourav Khanra,Justin Raj et al.
Malsawmkima Kullai et al.
Background: Opioid use disorder (OUD) is characterized by intense cue-induced craving and high relapse risk. This longitudinal fMRI study investigated whether oral naltrexone (50mg/day) (oral-NTX) modulates neural and beh...
EEG-based schizophrenia classification using attention-integrated deep convolutional networks [0.03%]
基于注意力集成深度卷积网络的 EEG 精神分裂症分类
Anjali Sagar Jangde,Gyanendra Kumar Verma
Anjali Sagar Jangde
Schizophrenia is a complex psychiatric disorder marked by cognitive and perceptual disruptions, for which electroencephalography (EEG) provides a valuable non-invasive biomarker. In this study, we propose a convolutional attention-based dee...