Andrea Alamia

The paper demonstrates that traveling brain waves support flexible working memory by minimizing neural interference during updates, supported by both artificial neural networks and human intracranial recordings.

This paper introduces TWINDEX, a method for detecting and analyzing neural traveling waves in 3D spatiotemporal data, and applies it to ECoG and EEG data to identify alpha/low-beta waves with directional propagation.

The paper introduces DIFF, a method to map directed information flow in cortical networks, and shows it reveals distinct trajectories from traveling waves in simulations and electrophysiological recordings.

This study examines age-related changes in alpha oscillations using EEG data, finding slowed peak frequency, reduced power, and altered spatiotemporal propagation in older adults.

This paper introduces a method to detect and quantify planar traveling waves in EEG data by fitting spherical wave models to spatial phase gradients.

The paper examines resting-state EEG data from individuals with varying autistic traits, finding a directional shift in alpha-band traveling waves in the left hemisphere associated with higher autistic traits.

The paper investigates how neural oscillations relate to predictive processing in visual statistical learning, finding that alpha-band traveling waves correlate with cognitive strategies rather than specific prediction mechanisms.

This study examines traveling wave dynamics during visual entrainment in neurotypical and autistic adults, finding increased forward waves in ASD, suggesting a bias toward bottom-up sensory signaling.

This study shows that older adults show reduced pupillary responses during memory encoding, suggesting age-related decline in locus coeruleus function affecting memory performance.

This paper presents a multi-scale network model of alpha-band traveling waves in the visual system, showing how forward and backward waves arise from distinct sub-networks and are influenced by pulvinar engagement.

This study investigates how perceived time affects physical fatigue using EEG, finding that fatigue accumulates with perceived time, influenced by frontal theta and beta oscillations.

This study investigates how beta oscillations in motor and frontal brain areas change with physical fatigue, finding enhanced power at rest and reduced power during contraction, and links these changes to the status quo theory.

The paper analyzes neural traveling waves and their relationship to causal information flow, showing that phase ordering does not always reflect directionality and introducing a new measure called DIFF.

This study shows that alpha-band traveling waves mediate prior-driven perceptual bias by propagating from frontal to occipital areas during decision-making.

The paper examines alpha traveling waves during working memory tasks to distinguish between bottom-up gating and top-down gain control mechanisms.

This study investigates predictive coding abnormalities in schizophrenia using EEG data, finding altered top-down and bottom-up alpha-band traveling waves.

The paper shows that alpha-band oscillations have two distinct roles in visual attention, with different propagation directions and functional implications.

The paper compares EEG activity during same-different and spatial-relation visual reasoning tasks, finding higher low beta band activity in same-different tasks, suggesting involvement of working memory and attention mechanisms.

This study investigates how DMT alters cortical travelling waves during a resting state, finding reduced backward and increased forward waves, supporting a model of altered precision-weighting of priors.

This study investigates how conscious perception affects perceptual echoes (PE) by comparing neural responses to perceived and suppressed visual stimuli using EEG.

This study shows that alpha traveling waves in the brain change direction based on visual stimulation, with forward waves supporting visual processing and backward waves involved in top-down control.

The paper shows that a predictive coding model generates alpha-band rhythms and oscillatory travelling waves in EEG data, matching experimental observations.