Altered EEG microstate dynamics as a neurophysiological biomarker for diagnostic differentiation in Schizophrenia [0.03%]
schizophrenia诊断鉴别的神经生理生物标志物
Ta-Chuan Yeh,Hsu-Wei Fang,Wei-Chou Chang et al.
Ta-Chuan Yeh et al.
Background: To examine spatiotemporal modifications in electroencephalogram (EEG) microstates among individuals diagnosed with schizophrenia utilizing a five-class model, and to evaluate the potential of microstate parame...
Hardwired for suspicion. Network-level markers of paranoid personality traits revealed by multimodal machine-learning [0.03%]
基于多模态机器学习的怀疑论人格特征的网络标志物研究
Alessandro Grecucci,Ludovico Pizzocaro,Lorenzo Manente et al.
Alessandro Grecucci et al.
Background: Current neuroimaging research on paranoid traits remains limited. Existing studies have largely relied on small samples, focused on categorical diagnoses or transient paranoid states, and examined either struc...
Quantum convolution searched binary neural networks based autism spectrum disorder detection using MRI images in cloud computing [0.03%]
基于量子卷积搜索二进制神经网络的云计算磁共振成像自闭症光谱障碍检测方法研究
G Mervin George,N Kumareshan
G Mervin George
Autism Spectrum Disorder (ASD) is a neurodevelopmental disease that causes discrepancies in social interaction and behavioral changes. The developments of neuroimaging techniques, like Magnetic Resonance Imaging (MRI) is employed to detect ...
Diagnosing autism spectrum disorders using ensemble-aided weighted fused features and attention-based residual LSTM with brain MRI images [0.03%]
基于脑弥散加权成像的自闭症谱系障碍诊断研究：注意力机制与残差LSTM模型
Nandhini V,Ananthajothi K
Nandhini V
One of the neuro-developmental conditions is called Autism Spectrum Disorder (ASD), which causes changes in the behavior of the patients, and it delays language and social interactions. Details about the functional activity of the brain are...
Baseline glymphatic efficiency is associated with plasma BDNF changes following rTMS: an exploratory biomarker study in mood disorders [0.03%]
基线胶质运输效率与单侧重复经颅磁刺激后情绪障碍患者的血浆神经营养因子变化相关性研究：一项探索性生物标志物研究
Ya-Chu Hsieh,Sheng-Min Huang,Tsung-Hua Lu et al.
Ya-Chu Hsieh et al.
Brain-derived neurotrophic factor (BDNF) has been proposed as a potential biological correlate of repetitive transcranial magnetic stimulation (rTMS). However, its relationship with clinical and cognitive outcomes in mood disorders remains ...
Alzheimer's disease with progression analysis using a novel dilated convolutional attention based long short term memory model [0.03%]
基于新型扩张卷积注意力的长短期记忆模型的老年痴呆病程分析方法
Anusha Rudraraju,S Venkata Lakshmi
Anusha Rudraraju
Alzheimer's disease (AD) is an irreversible neurodegenerative syndrome that affects memory, cognitive abilities and behaviour. Detecting AD in the early stage is crucial to improve the quality of life. However, traditional diagnostic approa...
Causal ordinal connections based characterization of weighted effective brain network for schizophrenia detection [0.03%]
基于因果序数连接的加权有效脑网络自闭症谱系障碍表征
Mangesh Ramaji Kose,Mitul Kumar Ahirwal,Mithilesh Atulkar
Mangesh Ramaji Kose
The human brain is responsible for a wide range of a person's behavioral and cognitive capabilities. The functionality of the brain is affected by various disorders like schizophrenia, epilepsy, and Alzheimer. This study presents a novel fr...
Brain structural markers of suicidality change in adolescents: A longitudinal neuroimaging study of low family-neighborhood-school environmental risk [0.03%]
低家庭-邻里-学校环境风险青少年纵向神经影像学研究中的自杀倾向脑结构标志物变化
Xintian Hong,Xin Cui,Caiyun Chen et al.
Xintian Hong et al.
Suicide is the leading global cause of death, particularly challenging in adolescent health. The current findings on brain regions associated with suicide are often confounded by environmental factors. Moreover, the emergence and persistenc...
Multimodal deep learning neuroimaging approach to enhance CT-based diagnosis of Alzheimer's disease [0.03%]
基于多模态深度学习影像的方法改善CT检测阿尔茨海默病的能力
Arslan Abbas,Hsin-Chi Tsai,Yu-Ling Hsu et al.
Arslan Abbas et al.
Neuroimaging plays a critical role in the diagnosis of Alzheimer's disease (AD), with Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) providing detailed structural and functional information for deep learning (DL) ba...
Investigating neural correlates in non-prodromal individuals at familial high-risk for psychotic and bipolar disorders: A multimodal MRI approach [0.03%]
家族性高风险精神病和双相情感障碍的非前驱期个体的神经相关研究：一种多模态磁共振成像方法
Muhammed Demir,Cemal Demirlek,Burcu Verim et al.
Muhammed Demir et al.
Neuroimaging studies in familial high-risk (FHR) individuals are vital for identifying vulnerability markers independent of overt illness. However, research on purely non-prodromal FHR cohorts using comparative multimodal approaches remains...