Wael El‐Deredy

Characterizing EEG Spectro-Temporal Variability Signatures in Alzheimer's and Parkinson's Disease

This study identifies disease-specific spectro-temporal signatures in Alzheimer's and Parkinson's disease using EEG and machine learning, revealing increased variability and distinct spectral markers.

Differentiating hallucination proneness dimensions through resting state alpha dynamics

The paper identifies distinct neural dynamics in resting state alpha band activity associated with different dimensions of hallucination proneness.

Chewing phase - theta amplitude coupling facilitates working memory

This study shows that chewing rhythm synchronizes brain theta oscillations during working memory, enhancing cognitive performance through neural entrainment.

Selective brain network stimulation by frequency entrainment

This paper uses a physics-based model of brain networks to show that frequency-selective stimulation entrains specific sub-networks, with lower frequencies promoting broader synchrony and higher frequencies producing localized effects, determined by network structure and oscillatory dynamics.

Emergence of multiple spontaneous coherent subnetworks from a single configuration of human connectome-coupled oscillators model

This study uses a human connectome-coupled oscillators model to show that multiple coherent subnetworks emerge at maximum spectral entropy, reflecting brain metastability and cognitive flexibility.

Synchronization of the prefrontal cortex with the hippocampus and posterior parietal cortex is navigation strategy-dependent during spatial learning

This study shows that prefrontal cortex synchronization with hippocampus and posterior parietal cortex during spatial learning depends on navigation strategies used by mice.

Misperceiving momentum: computational mechanisms of biased striatal reward prediction errors in bipolar disorder

This study investigates how bipolar disorder affects striatal reward prediction errors by showing increased momentum bias and reduced striatal-insular connectivity.

Striatal Dopamine Modulates Temporal Surprise P3a

This study investigates how dopamine modulates temporal surprise in auditory processing using EEG, showing that D2 receptor drugs affect the P3a response to predictable and unpredictable tones.

A High-Resolution LED Display for Steady State Visual Stimulation: Customized, Affordable, and Open Source

The paper introduces an open-source LED display system for steady-state visual stimulation, validated for generating SSVEPs with precise frequency and phase control.

EEG resting state alpha dynamics predict individual proneness to auditory hallucinations

The paper uses EEG resting state alpha dynamics to predict individual proneness to auditory hallucinations by analyzing brain state occupancy and duration.

Modeling EEG Resting-State Brain Dynamics: A proof of concept for clinical studies

The paper evaluates the reliability and sensitivity of Hidden semi-Markov models (HsMM) in analyzing resting-state EEG data from Parkinson's Disease patients and healthy controls to classify brain dynamics and assess training effects.

Efficient estimation of time-dependent functional connectivity using Structural Connectivity constraints

The paper introduces a model that efficiently estimates time-dependent brain connectivity using structural connectivity constraints and sparse MAR parameters.

From synaptic activity to human in vivo quantification of neurotransmitter dynamics: a neural modelling approach

The paper develops a mean-field model to link neurotransmitter dynamics at the microscopic level to fMRS signals, showing how neural activity affects observed MRS signals.

Cortical ignition dynamics is tightly linked to the core organisation of the human connectome

The paper shows that the human connectome's core-shell structure enables graded ignition dynamics in cortical activity, which is not replicated by randomized connectomes.

Boundary effects of expectation in human pain perception

The paper investigates how prediction error affects pain perception, finding that larger prediction errors reduce cue influence on perceived pain intensity.

The discrete logic of the Brain - Explicit modelling of Brain State durations in EEG and MEG

This paper introduces Hidden Semi-Markov Models (HSMM) to better model brain state durations in EEG and MEG data compared to traditional HMMs.

Transcranial alternating current stimulation at 10 Hz modulates response bias in the Somatic Signal Detection Task

This study uses tACS to manipulate alpha oscillations and finds it increases response bias in a somatosensory detection task without affecting sensitivity.

Sensitivity to Pain Expectations: A Bayesian Model of Individual Differences

This paper develops a Bayesian model of pain perception that accounts for individual differences in pain expectations, showing it better predicts pain ratings than simpler models.

Identification of Memory Reactivation during Sleep by EEG Classification

This paper develops a machine learning method to detect memory reactivation during sleep using EEG data and finds it is more effective in slow wave sleep than stage 2.

A comparison between the neural correlates of laser and electric pain stimulation and their modulation by expectation

This study compares how expectation modulates neural responses to laser and electric pain stimulation, finding similar modulation but differences in anticipatory correlates.

Temporal dissociation of salience and prediction error responses to appetitive and aversive taste

This study investigates ERP responses to appetitive and aversive tastes, finding distinct patterns for salience and prediction error, challenging existing interpretations of the feedback-related negativity.