Erik D Fagerholm,Hirokazu Tanaka,Milan Brázdil
Erik D Fagerholm
Introduction: Neural activity can be described in terms of probability distributions that are continuously evolving in time. Characterizing how these distributions are reshaped as they pass between cortical regions is key...
Speech pattern disorders in verbally fluent individuals with autism spectrum disorder: a machine learning analysis [0.03%]
自闭症谱系障碍患者的言语流畅个体的语音模式紊乱：一种机器学习分析方法
Chuanbo Hu,Jacob Thrasher,Wenqi Li et al.
Chuanbo Hu et al.
Introduction: Diagnosing Autism Spectrum Disorder (ASD) in verbally fluent individuals based on speech patterns in examiner-patient dialogues is challenging because speech-related symptoms are often subtle and heterogeneo...
Early heart disease prediction using LV-PSO and Fuzzy Inference Xception Convolution Neural Network on phonocardiogram signals [0.03%]
基于LV-PSO和模糊推理Xception卷积神经网络的PCG信号早期心脏病预测模型
D Prabha Devi,C Palanisamy
D Prabha Devi
Introduction: Heart disease is one of the leading causes of mortality worldwide, and early detection is crucial for effective treatment. Phonocardiogram (PCG) signals have shown potential in diagnosing cardiovascular cond...
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation [0.03%]
超分辨率显微镜和深度学习方法能为神经科学带来什么：从神经元到三维树突分割
Paul Nazac,Shengyan Xu,Victor Breton et al.
Paul Nazac et al.
In recent years, advances in microscopy and the development of novel fluorescent probes have significantly improved neuronal imaging. Many neuropsychiatric disorders are characterized by alterations in neuronal arborization, neuronal loss-a...
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space [0.03%]
参考图谱空间的大鼠脑影像数据配准和分析软件及管线
Maja A Puchades,Sharon C Yates,Gergely Csucs et al.
Maja A Puchades et al.
Advancements in methodologies for efficient large-scale acquisition of high-resolution serial microscopy image data have opened new possibilities for experimental studies of cellular and subcellular features across whole brains in animal mo...
VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data [0.03%]
一种用于多源影像数据诊断分类的域适配、迁移学习及校正的变分自编码深度学习模型
Gopikrishna Deshpande,Bonian Lu,Nguyen Huynh et al.
Gopikrishna Deshpande et al.
In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural differences between groups and leads to poor ...
Generation of synthetic TSPO PET maps from structural MRI images [0.03%]
基于结构磁共振图像的合成TSPO正电子发射断层扫描图谱生成
Matteo Ferrante,Marianna Inglese,Ludovica Brusaferri et al.
Matteo Ferrante et al.
Introduction: Neuroinflammation, a pathophysiological process involved in numerous disorders, is typically imaged using [11C]PBR28 (or TSPO) PET. However, this technique is limited by high costs and ionizing radiation, re...
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings [0.03%]
基于临床和视频脑电的癫痫放电溯源技术(CLARA)在资源匮乏地区的痫性脑成像中的作用
Amir F Al-Bakri,Ahmed Tahseen Muslim,Moneer K Faraj et al.
Amir F Al-Bakri et al.
Introduction: Accurate localization of the epileptogenic zone is essential for surgical treatment of drug-resistant epilepsy. Standard presurgical evaluations rely on multimodal neuroimaging techniques, but these may be l...
A correlation-based tool for quantifying membrane periodic skeleton associated periodicity [0.03%]
一种基于相关性的量化膜周期骨架关联周期的工具
Sam K Vanspauwen,Virginia Luque-Fernández,Hanne B Rasmussen
Sam K Vanspauwen
Introduction: The advent of super-resolution microscopy revealed the membrane-associated periodic skeleton (MPS), a specialized neuronal cytoskeletal structure composed of actin rings spaced 190 nm apart by two spectrin d...
Large language models can extract metadata for annotation of human neuroimaging publications [0.03%]
大型语言模型可以提取元数据以标注人类神经影像出版物
Matthew D Turner,Abhishek Appaji,Nibras Ar Rakib et al.
Matthew D Turner et al.
We show that recent (mid-to-late 2024) commercial large language models (LLMs) are capable of good quality metadata extraction and annotation with very little work on the part of investigators for several exemplar real-world annotation task...