Contrastive machine learning reveals in eeg resting-state network salient features specific to autism spectrum disorder
We explore the potential of the contrastive variational autoencoder to detect latent disorder-
specific patterns in the network, analyzing functional brain networks in autistic individuals as …
specific patterns in the network, analyzing functional brain networks in autistic individuals as …
[HTML][HTML] Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience
Neural representations induced by naturalistic stimuli offer insights into how humans
respond to stimuli in daily life. Understanding neural mechanisms underlying naturalistic …
respond to stimuli in daily life. Understanding neural mechanisms underlying naturalistic …
Electroencephalogram-based ConvMixer architecture for recognizing attention deficit hyperactivity disorder in children
Attention deficit hyperactivity disorder (ADHD) is a neuro-developmental disorder that affects
approximately 5–10% of school-aged children worldwide. Early diagnosis and intervention …
approximately 5–10% of school-aged children worldwide. Early diagnosis and intervention …
[HTML][HTML] Multimodal investigation of dynamic brain network alterations in autism spectrum disorder: Linking connectivity dynamics to symptoms and developmental …
Background Autism spectrum disorder (ASD) has been associated with disrupted brain
connectivity, yet a comprehensive understanding of the dynamic neural underpinnings …
connectivity, yet a comprehensive understanding of the dynamic neural underpinnings …
[HTML][HTML] Optimizing Antidepressant Efficacy: Generalizable Multimodal Neuroimaging Biomarkers for Prediction of Treatment Response
Major depressive disorder (MDD) is a common and often severe condition that profoundly
diminishes quality of life for individuals across ages and demographic groups. Unfortunately …
diminishes quality of life for individuals across ages and demographic groups. Unfortunately …
The Role of Thioredoxin System in Shank3 Mouse Model of Autism
W Bazbaz, M Kartawy, W Hamoudi, SK Ojha… - Journal of Molecular …, 2024 - Springer
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized
by difficulties in social interaction and communication, repetitive behaviors, and restricted …
by difficulties in social interaction and communication, repetitive behaviors, and restricted …
Advanced functional connectivity analysis with integrated EEG signal enhancement and GTW-EEG-GAN for emotion detection
Emotion recognition is crucial in human-computer interaction and psychological research,
utilizing modalities such as facial expressions, voice intonations, and EEG signals. This …
utilizing modalities such as facial expressions, voice intonations, and EEG signals. This …
Spatial-Temporal Characteristics of Brain Activity in Autism Spectrum Disorder Based on Hidden Markov Model and Dynamic Graph Theory: A Resting-State fMRI …
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder. Functional
magnetic resonance imaging (fMRI) can be used to measure the temporal correlation of …
magnetic resonance imaging (fMRI) can be used to measure the temporal correlation of …
Effective brain connectivity related to non-painful thermal stimuli using EEG
DCS Cuevas, REC Ruiz, DD Collina… - Biomedical Physics & …, 2024 - iopscience.iop.org
Understanding the brain response to thermal stimuli is crucial in the sensory experience.
This study focuses on non-painful thermal stimuli, which are sensations induced by …
This study focuses on non-painful thermal stimuli, which are sensations induced by …
[HTML][HTML] Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression
Background: Major depressive disorder (MDD) is a prevalent psychiatric disorder
characterized by substantial clinical and neurobiological heterogeneity. Conventional …
characterized by substantial clinical and neurobiological heterogeneity. Conventional …