Takashi Hanakawa

This study shows serial dependence in haptic perception during active manual exploration, with perceptual judgments biased toward recent sensory experiences, but no serial dependence in movement kinematics.

The paper uses hidden Markov modeling on whole-brain MEG data to show subsecond neural dynamics correlate with value-based decision variables in humans.

This study examines how postmortem intervals affect quantitative MRI signals in unfixed and fixed pig brains, finding that PMI significantly impacts T1 relaxation times but not T2 or T2*.

This study identifies tegmental atrophy in iRBD using VBM and a novel brainstem atlas, linking atrophy in specific nuclei to autonomic dysfunction.

This study identifies dual neural processes underlying olfactory dysfunction in Parkinson's and Alzheimer's diseases by analyzing brain atrophy patterns in a cohort with cognitive and movement disorders.

The paper develops a method to profile resting-state fMRI connectivity variations to improve the reliability and generalizability of psychiatric disorder biomarkers across multiple centers.

This study compares unsupervised feature selection with supervised methods to identify robust resting-state functional connectivity patterns associated with psychiatric disorders.

This paper describes a second-generation transgenic marmoset model of SCA3 that replicates motor impairments and neuropathology, offering a platform for studying disease mechanisms and therapies.

This study analyzes dynamic functional connectivity and topological properties of brain networks in iRBD patients compared to healthy controls, identifying abnormalities in specific networks and metrics.

The paper investigates how humans self-regulate cortical oscillations during brain-computer interface tasks, finding that basal ganglia-cortical connectivity plays a key role in this process.

This paper outlines a multi-site MRI study aiming to establish harmonized imaging biomarkers for brain disorders across the lifespan using standardized protocols and data from healthy and patient subjects.

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.

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.