7 results found

Joseph Frazier, Jinwon Chang

Depression remains difficult to diagnose using objective biological markers, highlighting the need for biomarkers that are both replicable and generalizable. Electroencephalography (EEG) microstate an...

Cognitive Neurodynamics 2026-04-23 rs-9338923
Electroencephalography Microstate Depression Replicability Generalizability

Weihua Pei, Wanwan Liu, Chunrong Wei, Hongyu Jiang, Yan Zhu, Kemin Wang, Xiaoting Wu, Juexian Cao, Xiaofeng Liu, Yiwei Liu, Gege Ming, Yijun Wang, Xiaorong Gao

For older adults with disabilities and aphasia, timely care remains challenging, particularly during the 8-h nocturnal period, creating a need for stable non-invasive EEG interfaces for assistive brai...

Microsystems & Nanoengineering 2026-04-23 rs-9381602

Neha, Aditya

Neuroscience and artificial intelligence, the convergence of neuroscience and artificial intelligence has presented revolutionary sports performance optimization. This paper is a comprehensive Neuro. ...

Research Square 2026-04-22 rs-9479324
Deep Learning Electroencephalography Sports. Receptor Neural Biomarkers Gated Recurrent Units Trans. formers brain-computer interface Neurofeedback

Jorge F. Bosch-Bayard, Judith Guerrero-Sauzameda, Rodolfo Bosch-Bayard, Ruben Pérez-Elvira, Ayelen Bosch-Castro, Jamin Sánchez-Rodríguez, Alethia Flores, Edgar Resendiz-Flores, Karyme Flores, Arnaldo Ferrando, Patricia Ferrando, Lidice Galán-García, Pedro Valdes-Sosa, Giuseppe A. Chiarenza, Rolando J. Biscay, Lilia Morales-Chacón

Background Quantitative EEG (qEEG) provides objective, millisecond-resolution measures of brain dynamics. Despite decades of methodological advances, clinically relevant derived indices—spectral power...

Brain Topography 2026-04-21 rs-9333312
quantitative EEG normative models GAMLSS spectral ratios (theta/beta arousal) electrode-level spectral normalization therapeutic monitoring

Kexuan Zhu, Qian Zhao, Huadi Wang, Yang Zhao

EEG signals face challenges such as a scarcity of training data, significant individual variability, and difficulties in designing neural network architectures, which severely limit the performance an...

User Modeling and User-Adapted Interaction 2026-04-21 rs-9400088
EEG emotion recognition generative adversarial network data augmentation neural architecture search

Sahaana Vasudevan

Alzheimer’s disease is a progressive neurodegenerative disorder characterized by cognitive decline and widespread cellular dysfunction. While individual pathological features such as mitochondrial imp...

Research Square 2026-04-21 rs-9458287
Alzheimer’s disease neurodegeneration multi-scale analysis mitochondrial dysfunction lysosomal dysfunction oxidative stress EEG electroencephalography systems biology metabolic stress cognitive decline secondary data analysis

YuanZheng SHAN, Hua BO

Motor imagery (MI) electroencephalography (EEG) decoding remains challenging due to severe cross-subject variability and signal non-stationarity, which significantly degrade model generalization to un...

Scientific Reports 2026-04-21 rs-8952124
Back to Top
Home
Browse
Submit
About
0.033204s