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Shimokawa, T.

Publications and source records attributed to Shimokawa, T..

2 recordsLinked to original sources

Suppression of GABAergic transmission in the spinal dorsal horn induces pain-related behavior in a chicken model of spina bifida

Spina bifida aperta (SBA), one of the most common congenital malformations, causes various neurological disorders. Pain is a common complaint of patients with SBA. However, little is known about the neuropathology of SBA-related pain. Because loss of {gamma}-aminobutyric acid (GABA)ergic neurons in the spinal cord dorsal horn is associated with pain, we hypothesized the existence of cross-talk between SBA-related pain and alterations in GABAergic transmission in the spinal cord. Therefore, we investigated the kinetics of GABAergic transmission in the spinal cord dorsal horn in a chicken model of SBA. Neonatal chicks with SBA exhibited various pain-like behaviors, such as an increased number of vocalizations with elevated intensity (loudness) and frequency (pitch), reduced mobility, difficulty with locomotion, and escape reactions. Furthermore, the chicks with SBA did not respond to standard toe-pinching, indicating disruption of the spinal cord sensorimotor networks. These behavioral observations were concomitant with loss of GABAergic transmission in the spinal cord dorsal horn. We also found apoptosis of GABAergic neurons in the superficial dorsal horn in the early neonatal period, although cellular abnormalization and propagation of neurodegenerative signals were evident at middle to advanced gestational stages. In conclusion, ablation of GABAergic neurons induced alterations in spinal cord neuronal networks, providing novel insights into the pathophysiology of SBA-related pain-like complications.

neuroscience↗

Computational model for human 3D shape perception from a single specular image

In natural conditions the human visual system can estimate the 3D shape of specular objects even from a single image. Although previous studies suggested that the orientation field plays a key role for 3D shape perception from specular reflections, its computational plausibility and possible mechanisms have not been investigated. In this study, to complement the orientation field information, we first add prior knowledge that objects are illuminated from above and utilize the vertical polarity of the intensity gradient. Then we construct an algorithm that incorporates these two image cues to estimate 3D shapes from a single specular image. We evaluated the algorithm with glossy and mirrored surfaces and found that 3D shapes can be recovered with a high correlation coefficient of around 0.8 with true surface shapes. Moreover, under a specific condition, the algorithms errors resembled those made by human observers. These findings show that the combination of the orientation field and the vertical polarity of the intensity gradient is computationally sufficient and probably reproduces essential representations used in human shape perception from specular reflections.

neuroscience↗