Eishi Asano

This study examines slow and fast theta oscillations across the brain in a developmental cohort, revealing spatial gradients and age-related changes linked to attention and memory.

The paper examines high-frequency broadband activity in frontoparietal regions during working memory and decision-making tasks to identify distinct and overlapping neural dynamics.

This paper maps whole-brain directional neural information flow during auditory and visual naming using intracranial EEG, showing transient excitatory flows and their association with speech processing and stimulation-induced symptoms.

This study examines neurophysiological differences along the medial temporal lobe axis in pediatric epilepsy patients during memory tasks, finding distinct roles for high-frequency activity and theta oscillations in memory formation.

The paper uses scalp and intracranial EEG to identify network-level signatures of executive control during a working memory task, linking local spectral changes to broader network organization.

This study maps age-related changes in aperiodic neural activity across brain regions using iEEG data from children and adults, linking these changes to cognitive development and memory performance.

This paper constructs a dynamic causal white matter atlas of auditory and visual speech networks using intracranial data from 125 patients, revealing millisecond-scale coactivation patterns linked to speech naming tasks.

The paper investigates millisecond-scale white matter dynamics during visuomotor integration, showing right-hemispheric dominance for nonverbal processing and a trade-off between accuracy and speed.

This study uses intracranial EEG data from 106 patients to create a dynamic causal tractography atlas showing how specific white matter fasciculi contribute to different stages of auditory naming.

The paper visualizes functional and effective connectivity in white matter networks during auditory descriptive naming tasks, showing how phrase order influences neural dynamics.

This study examines how high-frequency broadband activity and theta oscillations coordinate during memory processing, showing that specific network connectivity patterns predict memory performance.

This study examines the normative distribution and propagation pathways of sevoflurane-enhanced electrocorticography biomarkers in pediatric epilepsy patients.

The paper constructs dynamic cortical and tractography atlases to visualize network dynamics of eye movement-related alpha and high-gamma modulations, revealing distinct white matter networks and functional connectivity changes.

This paper develops a deep learning algorithm to detect and classify epileptogenic high-frequency oscillations (eHFOs) from intracranial EEG data with high accuracy.

This study uses intracranial EEG during naming tasks to predict post-surgery language outcomes in epilepsy patients, finding that high gamma augmentation correlates with neuropsychological decline.

The paper analyzes saccade-related high-gamma activity to localize the primary visual cortex and understand neural dynamics during saccadic eye movements.

This paper introduces a method to visualize neural propagation dynamics via interhemispheric pathways using four-dimensional tractography.

This study shows that scalp EEG high frequency oscillations (HFOs) and their coupling with slow-wave activity correlate with active infantile spasms and can predict them better than hypsarrhythmia.