Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives
Epilepsy is now considered a network disease that affects the brain across multiple levels of
spatial and temporal scales. The paradigm shift from an epileptic focus—a discrete cortical …
spatial and temporal scales. The paradigm shift from an epileptic focus—a discrete cortical …
Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG …
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder hallmarked by
challenges in social communication, limited interests, and repetitive, stereotyped …
challenges in social communication, limited interests, and repetitive, stereotyped …
Abnormal fractional amplitude of low-frequency fluctuation as a potential imaging biomarker for first-episode major depressive disorder: a resting-state fMRI study and …
Y Gao, X Wang, Z **ong, H Ren, R Liu, Y Wei… - Frontiers in …, 2021 - frontiersin.org
Objective: Major depressive disorder (MDD) is a psychiatric disorder with serious negative
health outcomes; however, there is no reliable method of diagnosis. This study explored the …
health outcomes; however, there is no reliable method of diagnosis. This study explored the …
Tracking EEG network dynamics through transitions between eyes-closed, eyes-open, and task states
Our study aimed to verify the possibilities of effectively applying chronnectomics methods to
reconstruct the dynamic processes of network transition between three types of brain states …
reconstruct the dynamic processes of network transition between three types of brain states …
Oscillatory characteristics of resting-state magnetoencephalography reflect pathological and symptomatic conditions of cognitive impairment
H Hoshi, Y Hirata, K Fukasawa, M Kobayashi… - Frontiers in Aging …, 2024 - frontiersin.org
Background Dementia and mild cognitive impairment are characterised by symptoms of
cognitive decline, which are typically assessed using neuropsychological assessments …
cognitive decline, which are typically assessed using neuropsychological assessments …
[HTML][HTML] Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer's disease
Mild cognitive impairment (MCI) and dementia due to Alzheimer's disease (AD) are
neurological disorders that affect cognition, brain function, and memory …
neurological disorders that affect cognition, brain function, and memory …
Exploring intensity-dependent modulations in EEG resting-state network efficiency induced by exercise
Purpose Exhaustive cardiovascular load can affect neural processing and is associated with
decreases in sensorimotor performance. The purpose of this study was to explore intensity …
decreases in sensorimotor performance. The purpose of this study was to explore intensity …
AI-enabled Computational Intelligence Approach to Neurodevelopmental Disorders Detection Using rs-fMRI Data
Neurodevelopmental disorders (NDDs), including ADHD and ASD, profoundly impact
children and adolescents. Leveraging Machine Learning (ML), Deep Learning (DeepL) on …
children and adolescents. Leveraging Machine Learning (ML), Deep Learning (DeepL) on …
Testing covariance models for MEG source reconstruction of hippocampal activity
Beamforming is one of the most commonly used source reconstruction methods for magneto-
and electroencephalography (M/EEG). One underlying assumption, however, is that distant …
and electroencephalography (M/EEG). One underlying assumption, however, is that distant …