Keiichi Kitajo

The functional significance of EEG phase synchronization networks during information integration of left and right visual fields

This study identifies a broadband EEG phase synchronization network supporting interhemispheric visual integration in healthy adults during a visual task.

Metastability in EEG phase synchronization networks is associated with autistic traits in a neurotypical cohort

This study examines metastability in EEG phase synchronization networks and finds associations with autistic traits in a neurotypical cohort using SCE and MSI metrics.

Pretraining Objective Shapes Cross-Category Generalization in Affective Image Prediction: A Geometric Comparison of Vision Transformer Encoders

This paper compares how different pretraining objectives affect the generalization of Vision Transformers in affective image prediction, finding that contrastive learning outperforms classification pretraining in cross-category generalization.

Distinct roles of brain network flexibility in motor learning across age

This study investigates how brain network flexibility during motor preparation affects motor learning in younger and older adults, finding age-related differences in the relationship between flexibility and learning outcomes.

Numerical validation of 3D-VAR data assimilation for estimating network dynamics in multivariate EEGs

This paper extends a data assimilation method to multivariate EEGs, enabling parallel estimation of sensor-level network structures and E/I balance changes.

Validation of EEG data assimilation-based prefrontal excitation-inhibition balance estimation using TMS-EEG

This study validates a data assimilation-based method for estimating prefrontal excitation-inhibition balance using TMS-EEG comparisons.

Electroencephalographic responses before, during, and after upper limb paired associative stimulation

This paper presents an EEG dataset measuring brain activity during PAS protocols with different inter-stimulus intervals, showing changes in brain dynamics before, during, and after stimulation.

Asymmetric neural entrainment at resonance frequencies underlies unilateral spatial neglect

This study identifies asymmetric neural entrainment at 9 Hz in stroke patients with unilateral spatial neglect, revealing disrupted oscillatory dynamics and suggesting frequency-specific neuromodulation as a potential therapy.

Selective consistency of recurrent neural networks induced by plasticity as a mechanism of unsupervised perceptual learning

This paper shows that a plastic neural network can acquire selective consistency to repeated stimuli through self-organization, even without performance improvement.

A data assimilation method to track time-varying changes in the excitation-inhibition balance using scalp EEG

This paper introduces a data assimilation method to estimate time-varying excitation-inhibition balance from EEG signals and validates its ability to track sub-second changes in human EEG data.

Detecting changes in dynamical structures in synchronous neural oscillations using probabilistic inference

This paper introduces a method to detect changes in dynamic brain network structures using probabilistic inference and applies it to numerical and EEG data, showing increased Kullback-Leibler divergence during structural changes.

A closed-loop stimulation approach with real-time estimation of the instantaneous phase of neural oscillations by a Kalman filter

This paper introduces a Kalman filter-based method for real-time estimation of EEG oscillatory phase to enable closed-loop sensory stimulation, showing higher accuracy than autoregressive models.

The metastable brain associated with autistic-like traits of typically developing individuals

The paper shows that metastable brain dynamics, involving phase-phase and phase-amplitude coupling, are associated with autistic-like traits in typically developing individuals.

Consistency in macroscopic human brain responses to noisy time-varying visual inputs

This study shows that human brain responses to noisy visual inputs are consistent across trials and individuals, as measured by EEG.

Probing dynamical cortical gating of attention with concurrent TMS-EEG

This study uses TMS-EEG to examine how attention modulates effective connectivity between cortical areas, finding stronger responses and connectivity in task-relevant regions.

Phase-amplitude coupling of neural oscillations can be effectively probed with concurrent TMS-EEG

This study examines how TMS affects phase-amplitude coupling in neural oscillations using concurrent TMS-EEG, finding increased coupling at stimulation sites and across cortical regions.

Frequency- and area-specific entrainment of intrinsic cortical oscillations by repetitive transcranial magnetic stimulation

This study shows that repetitive transcranial magnetic stimulation (rTMS) can entrain intrinsic cortical oscillations in a frequency- and area-specific manner, with effects propagating to other brain regions.

Tracking Individual Differences in Perception by TMS-EEG Intrinsic Effective Connectivity

This paper introduces a TMS-EEG technique to measure individual differences in perception by tracking resting-state gamma-band effective connectivity during a bistable stimulus task.