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...
Leveraging neuroinformatics to understand cognitive phenotypes in elite athletes through systems neuroscience [0.03%]
利用神经信息学通过系统神经科学了解优秀运动员的认知表型
Yubin Huang,Jun Liu,Qi Yu
Yubin Huang
Introduction: Understanding the cognitive phenotypes of elite athletes offers a unique perspective on the intricate interplay between neurological traits and high-performance behaviors. This study aligns with advancing ne...
Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques [0.03%]
基于DWT-CNN-BiGRU和多种噪声滤波技术的酒精依赖者与正常对照组EEG分类改进方法
Nidhi Patel,Jaiprakash Verma,Swati Jain
Nidhi Patel
Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential. However, the inherent noise and complexity o...
The BrainHealth Databank: a systems approach to data-driven mental health care and research [0.03%]
BrainHealth数据库：数据驱动型心理健康护理和研究的系统方法
Jose Arturo Santisteban,David Rotenberg,Stefan Kloiber et al.
Jose Arturo Santisteban et al.
Introduction: Mental health care is undermined by fragmented data collection, as incomplete datasets can compromise treatment efficacy and research. The BrainHealth Databank (BHDB) at the Centre for Addiction and Mental H...
Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X [0.03%]
基于运动想象的脑机接口：探索基于Emotiv EPOC X的多类运动想象控制
Paulina Tarara,Iwona Przybył,Julius Schöning et al.
Paulina Tarara et al.
Introduction: Enhancing the command capacity of motor imagery (MI)-based brain-computer interfaces (BCIs) remains a significant challenge in neuroinformatics, especially for real-world assistive applications. This study e...