Results 61 to 70 of about 3,134 (182)

Automated analysis of postictal generalized electroencephalogram suppression for SUDEP risk stratification

Epilepsia Open, EarlyView.
Abstract Sudden unexpected death in epilepsy (SUDEP) affects more than 3000 individuals annually, yet objective and scalable biomarkers to assess risk remain limited. Postictal generalized electroencephalogram suppression (PGES) has been proposed as a potential biomarker, but its quantification is often subjective and variable.
Steve D. Reddy, Suprith Balasubramanian, Sreevidhya Ramakrishnan, Doodipala Samba Reddy   +3 more
wiley   +1 more source

Wearable fabric electronics for sensing, memory and neuromorphic computing applications

FlexMat, EarlyView.
Overview of textile electronic devices for sensing, memory and neuromorphic computing applications. Abstract With the advent of the big data era, traditional Von Neumann architecture is facing an energy consumption bottleneck due to separated memory and computing units, inspiring the research of brain‐like neuromorphic computing devices for artificial ...
Bo Sun, Lin Lu, Jialin Meng, Tianyu Wang
wiley   +1 more source

Dietary and biomarker‐guided strategies as supportive measures in the fragile X syndrome

Food Biomacromolecules, EarlyView.
Abstract The fragile X syndrome (FXS) is an inherited neurodevelopmental disorder that primarily affects males, often resulting in an IQ below 55, while about two‐thirds of females also experience intellectual disability. Physical features may include an elongated face, prominent ears, finger joint laxity, and enlarged testes in males.
Jailan E. El Halawani, Reem R. AlOlaby
wiley   +1 more source

Molecular imprinting for neurology: Materials, applications, and limitations

Ibrain, EarlyView.
Molecularly imprinted materials: diagnostic, therapeutic and research applications in neurology. Molecularly imprinted materials offer high specificity and affinity for target molecules in neurological applications. This review highlights their synthesis, characterisation, and use in diagnostics, research and therapeutics.
Xiaohan Ma, Yingqi Ma, Claudia Marino, Alessandro Poma   +3 more
wiley   +1 more source

Ultrasoft eutectogel electrodes for non‐invasive face nerve monitoring

InfoMat, EarlyView.
A eutectogel with simultaneous ultra‐low modulus, conductivity, environmental stability, and biocompatibility was prepared through random copolymerization of acrylic acid and N‐(3‐sulfopropyl)‐N‐(methacryloxyethyl)‐N,N‐dimethylammonium betaine in a deep eutectic solvent.
Bin Zhu, Yao Zhou, Chong Wu, Furui Xiao, Pengyu Chen, Qianqiang Tang, Min Zhang, Zhan Chen, Qiqi Huang, Bincheng Liu, Xiaodong Luo, Caihua Long, Haiyan Chen, Qiufeng Li, Mengyan Yang, Shiwei Du, Yaokang Zhang, Xuechang Zhou   +17 more
wiley   +1 more source

Spatial transcriptomics in epilepsy research: Early successes, opportunities, and challenges

Epilepsia, EarlyView.
Donald J. Phillips, Autumn S. Ivy, Samuel Guzman, Saman Hazany, Xiangmin Xu   +4 more
wiley   +1 more source

Integrating Chain‐of‐Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis From Clinical Notes

Medicine Bulletin, EarlyView.
ABSTRACT Background Several studies show that large language models (LLMs) struggle with phenotype‐driven gene prioritization for rare diseases. These studies typically use Human Phenotype Ontology (HPO) terms to prompt foundation models such as GPT and LLaMA to predict candidate genes.
Zhanliang Wang, Da Wu, Quan Nguyen, Kai Wang   +3 more
wiley   +1 more source

From Local Patterns to Global Context: A Multimodal Deep Learning Approach for Complex Power Quality Disturbance Recognition

Artificial Intelligence for Engineering, EarlyView.
A multimodal deep learning framework that combines time–frequency feature extraction, lightweight Transformer‐based global dependency modelling and signal‐based cross‐attention is proposed for recognising complex power quality disturbances. The framework effectively integrates local and long‐range representations, enabling robust and accurate ...
Jiajian Lin, Hadi Nabipour Afrouzi, Mehran Motamed Ektesabi, Jalal Tavalaei   +3 more
wiley   +1 more source

Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). However, CSP‐based features often exhibit high redundancy and intersubject variability.
Yadi Wang, Jiahao Zhang, Tengfei Zhou, Bingbing Jiang, Jiejiang Chen   +4 more
wiley   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source