Highlighting Temporal Patterns in Resting-State EEG
Autoencoder Latent Spaces and Multivariate Angular Distance Analysis
Multidisciplinary Neuroscientist
specializing in Brain Signal Analysis & Neural Engineering,
focuses on understanding the brain's rhythms.
Autoencoder Latent Spaces and Multivariate Angular Distance Analysis
Focus on Default Mode and Executive Networks
A Study of Theta-Gamma and Alpha-Beta Coupling Dynamics
Prediction of Mild Cognitive Impairment Severity Using EEG Data and Neuropsychological Scores in Source Space
This analysis integrates machine learning models to classify subjects into two groups based on the MCI Neuropsychological score
First Order Features & Spectral Analysis of EEG Recordings in Mild Cognitive Impairment
First Order Features & Spectral Analysis of EEG Recordings in Mild Cognitive Impairment
Comparison of Healthy and Schizophrenia Triads from Microstates Sequences
EEG Microstate Sequences: A Visual Exploration of State Distributions
Classification of Transition Probability Matrix (TPM) between Healthy and Schizophrenia Groups
EEG Microstate Sequences → Transition Probability Matrix (TPM)
Correlation Matrices of EEG Microstate Sequences in Healthy and Schizophrenic Individuals
This study explores the analysis of EEG signals to understand brain microstates and their dynamics in schizophrenia.