Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach [0.03%]
心理计量卫生经济学中改进利克特量表大数据分析：新型组分数据方法可靠性的研究
René Lehmann,Bodo Vogt
René Lehmann
Bipolar psychometric scales data are widely used in psychologic healthcare. Adequate psychological profiling benefits patients and saves time and costs. Grant funding depends on the quality of psychotherapeutic measures. Bipolar Likert scal...
A deep learning based cognitive model to probe the relation between psychophysics and electrophysiology of flicker stimulus [0.03%]
基于深度学习的认知模型探究闪光刺激的心理物理学和电生理学之间的关系
Keerthi S Chandran,Kuntal Ghosh
Keerthi S Chandran
The flicker stimulus is a visual stimulus of intermittent illumination. A flicker stimulus can appear flickering or steady to a human subject, depending on the physical parameters associated with the stimulus. When the flickering light appe...
A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques [0.03%]
基于EEG的神经营销系统评价：近期趋势和分析技术
Md Fazlul Karim Khondakar,Md Hasib Sarowar,Mehdi Hasan Chowdhury et al.
Md Fazlul Karim Khondakar et al.
Neuromarketing is an emerging research field that aims to understand consumers' decision-making processes when choosing which product to buy. This information is highly sought after by businesses looking to improve their marketing strategie...
Connecto-informatics at the mesoscale: current advances in image processing and analysis for mapping the brain connectivity [0.03%]
介观连接信息学：当前图像处理和分析在脑联接图研究中的应用进展
Yoon Kyoung Choi,Linqing Feng,Won-Ki Jeong et al.
Yoon Kyoung Choi et al.
Mapping neural connections within the brain has been a fundamental goal in neuroscience to understand better its functions and changes that follow aging and diseases. Developments in imaging technology, such as microscopy and labeling tools...
Brain age gap estimation using attention-based ResNet method for Alzheimer's disease detection [0.03%]
基于注意力机制的ResNet方法在阿尔兹海默症检测中的应用及脑部年龄差值估计
Atefe Aghaei,Mohsen Ebrahimi Moghaddam;Alzheimer’s Disease Neuroimaging Initiative
Atefe Aghaei
This study investigates the correlation between brain age and chronological age in healthy individuals using brain MRI images, aiming to identify potential biomarkers for neurodegenerative diseases like Alzheimer's. To achieve this, a novel...
Multi-view graph-based interview representation to improve depression level estimation [0.03%]
基于多视图图的访谈表示以改善抑郁水平估计
Navneet Agarwal,Gaël Dias,Sonia Dollfus
Navneet Agarwal
Depression is a serious mental illness that affects millions worldwide and consequently has attracted considerable research interest in recent years. Within the field of automated depression estimation, most researchers focus on neural netw...
Correction: Semantic representation of neural circuit knowledge in Caenorhabditis elegans [0.03%]
Correction: 秀丽隐杆线虫神经回路知识的语义表示
Sharan J Prakash,Kimberly M Van Auken,David P Hill et al.
Sharan J Prakash et al.
Published Erratum
Brain informatics. 2024 May 15;11(1):13. DOI:10.1186/s40708-024-00226-x 2024
Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation [0.03%]
基于α节律脑电变换的放松状态新型分类方法研究
Diah Risqiwati,Adhi Dharma Wibawa,Evi Septiana Pane et al.
Diah Risqiwati et al.
A relaxed state is essential for effective hypnotherapy, a crucial component of mental health treatments. During hypnotherapy sessions, neurologists rely on the patient's relaxed state to introduce positive suggestions. While EEG is a widel...
EEG source imaging of hand movement-related areas: an evaluation of the reconstruction and classification accuracy with optimized channels [0.03%]
优化通道的手运动相关脑区的 EEG 源成像及其重建和分类性能分析
Andres Soler,Eduardo Giraldo,Marta Molinas
Andres Soler
The hand motor activity can be identified and converted into commands for controlling machines through a brain-computer interface (BCI) system. Electroencephalography (EEG) based BCI systems employ electrodes to measure the electrical brain...
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection [0.03%]
基于LIME和SHAP的阿尔茨海默病检测模型可解释性研究综述
Viswan Vimbi,Noushath Shaffi,Mufti Mahmud
Viswan Vimbi
Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability to explain the complex decision-making process of machine learning (ML) and deep learning (DL) models. The Local Interpretable Model-agnostic...