Kimitaka Nakazawa

This study investigates how descending and afferent inputs interact in spinal motor circuits using TMS and tSCS, revealing timing-dependent and spatially non-uniform interactions.

This study shows that height-induced postural threat increases spinal reflex excitability specifically in the tibialis anterior muscle during quiet standing.

This study shows that stimulating the supplementary motor area (SMA) with intermittent theta burst stimulation (iTBS) reduces variability in ball throwing performance without affecting speed.

This study investigates the neural mechanisms of remote interlimb facilitation in humans, finding increased corticospinal and spinal excitability during voluntary lower-limb contractions.

This study compares neural input strategies to motor units in the soleus and medial gastrocnemius during standing, finding distinct patterns of common synaptic input and synchrony.

This study shows that musical experience and active engagement predict differences in auditory-motor plasticity induced by paired associative stimulation.

This study examines how muscle synergies reorganize during overarm throwing in children, finding that performance improvements come from structural and temporal reorganization rather than increased synergy number.

This study investigates how cortico-muscular coherence changes during split-belt locomotor adaptation, finding temporary decreases followed by increases in coherence with adaptation and de-adaptation.

This paper introduces a convolutional neural network for accurate M/EEG source localization, validated on simulations and real data, showing improved accuracy for both cortical and subcortical regions.

This study shows that fear conditioning in humans leads to distinct movement patterns, and training active defensive movements reduces fear responses long-term.

This study identifies shared muscle synergies between running and functional tests for return to running, finding that walking, single leg hops, and step-up tests show higher synergy with running.

This study uses HDsEMG decomposition to analyze motor neuron firing patterns in the tibialis anterior during human walking, revealing synchronization and task-specific modulation.

The paper investigates muscle synergies in human trunk and lower limb movements, finding 13 fundamental synergies that combine to perform 24 different tasks.

This study decodes gait phase information during motor imagery using EEG and shows that combining motor imagery with action observation improves decoding accuracy.

This paper uses tensor decomposition to quantify spatial and temporal modules and their task-dependent modulation in kinematics and EMG data for walking and running.

This study decodes muscle synergy and individual muscle activation from EEG during walking, finding higher accuracy for synergies and suggesting hierarchical cortical control.