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Deep learning models for diagnosis of schizophrenia using EEG signals: emerging trends, challenges, and prospects
Schizophrenia (ScZ) is a chronic neuropsychiatric disorder characterized by disruptions in
cognitive, perceptual, social, emotional, and behavioral functions. In the traditional …
cognitive, perceptual, social, emotional, and behavioral functions. In the traditional …
[HTML][HTML] Dementia ConnEEGtome: towards multicentric harmonization of EEG connectivity in neurodegeneration
The proposal to use brain connectivity as a biomarker for dementia phenoty** can be
potentiated by conducting large-scale multicentric studies using high-density …
potentiated by conducting large-scale multicentric studies using high-density …
Delta-band neural responses to individual words are modulated by sentence processing
To understand language, we need to recognize words and combine them into phrases and
sentences. During this process, responses to the words themselves are changed. In a step …
sentences. During this process, responses to the words themselves are changed. In a step …
[HTML][HTML] Spectral parameterization for studying neurodevelopment: How and why
A growing body of literature suggests that the explicit parameterization of neural power
spectra is important for the appropriate physiological interpretation of periodic and aperiodic …
spectra is important for the appropriate physiological interpretation of periodic and aperiodic …
Spontaneous supra-modal encoding of number in the infant brain
The core knowledge hypothesis postulates that infants automatically analyze their
environment along abstract dimensions, including numbers. According to this view …
environment along abstract dimensions, including numbers. According to this view …
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals
Magnetoencephalography and electroencephalography (M/EEG) measure non-invasively
the weak electromagnetic fields induced by post-synaptic neural currents. The estimation of …
the weak electromagnetic fields induced by post-synaptic neural currents. The estimation of …
[HTML][HTML] Inter-brain synchronization occurs without physical co-presence during cooperative online gaming
Inter-brain synchronization during social interaction has been linked with several positive
phenomena, including closeness, cooperation, prosociality, and team performance …
phenomena, including closeness, cooperation, prosociality, and team performance …
Neural source dynamics of brain responses to continuous stimuli: Speech processing from acoustics to comprehension
Human experience often involves continuous sensory information that unfolds over time.
This is true in particular for speech comprehension, where continuous acoustic signals are …
This is true in particular for speech comprehension, where continuous acoustic signals are …
[HTML][HTML] Infants' brain responses to social interaction predict future language growth
In face-to-face interactions with infants, human adults exhibit a species-specific
communicative signal. Adults present a distinctive" social ensemble": they use infant …
communicative signal. Adults present a distinctive" social ensemble": they use infant …
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning
Virtual reality exposure therapy (VRET) is a novel intervention technique that allows
individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific …
individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific …