Nagoya University · 의학
히로유키 키도코로 교수의 연구실은 미숙아, 특히 초저출생량 영아의 뇌 손상과 뇌 성장 이상을 MRI 및 전기생리학적 검사(EEG/aEEG)를 통해 정밀하게 평가하는 데 초점을 맞추고 있습니다. 뇌 영상 소견과 임상적 예후 간의 연관성을 규명하고, 특히 조기 뇌 손상의 생물학적 기반과 장기 신경발달 결과 예측에 기여하고자 합니다. 다양한 생존 미숙아에서의 뇌 구조적 이상과 그 위험 인자, 예후 지표를 종합적으로 분석하는 데 있어 핵심적인 연구 기여를 하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Very preterm infants demonstrate a high prevalence of injury and growth impairment in both the WM and gray matter. This MR imaging scoring system provides a more comprehensive and objective classification of the nature and extent of abnormalities than existing measures.
At term-equivalent age, VPT infants showed both brain injury and impaired brain growth on MRI. Severe brain injury and impaired brain growth patterns were independently associated with perinatal risk factors and delayed cognitive development.
Patterns of brain injury differed between cohorts. Prolonged mechanical ventilation and parenteral nutrition were identified as independent perinatal risk factors. The prognostic value of the TEA-MRI score was rather limited in this well-performing cohort.
Although DEHSI may represent disturbances in white matter structure, as illustrated by its relationship to altered ADC and FA values, there is no relationship to short-term neurodevelopment outcome unless there are invisible posterior crossroads, representing a severe form of global high T2 signal intensity.
EEG abnormalities within the first month of life significantly predict adverse neurodevelopment at a corrected age of 12 to 18 months in the current preterm survivor.
Absent cyclicity on aEEG within 24 h of age was associated with poor outcome in preterm infants.
EEG findings in PVL differed according to the severity of PVL and the time of recording. To detect PVL, > or =2 EEG recordings are recommended, 1 within 48 hours after birth, to detect ASAs, and 1 in the second week of life, to detect CSAs.
A robot working among pedestrians can attract crowds of people around it, and consequentially become a bothersome entity causing congestion in narrow spaces. To address this problem, our idea is to endow the robot with capability to understand humans' crowding phenomena. The proposed mechanism consists of three underlying models: a model of pedestrian flow, a model of pedestrian interaction, and a model of walking comfort. Combining these models a robot is able to simulate hypothetical situation
A robot working among pedestrians can attract crowds of people around it, and consequentially become a bothersome entity causing congestion in narrow spaces. To address this problem, our idea is to endow the robot with capability to understand humans' crowding phenomena. The proposed mechanism consists of three underlying models: a model of pedestrian flow, a model of pedestrian interaction, and a model of walking comfort. Combining these models a robot is able to simulate hypothetical situation
Social robots working among pedestrians can attract crowds of people around them and consequently become bothersome entities causing congestion in narrow spaces. This in turn can affect the comfort of pedestrians who wish to pass through. To address this problem, our idea is to endow the robot with three capabilities: anticipating pedestrian crowding around the robot, understanding pedestrians' walking comfort, and planning to avoid congestions in advance. Combining several elementary pedestrian
Our results indicated that abnormal brushes on refiltered EEGs were strongly associated with white matter injury.
The DWI findings provided additional information regarding PVL. Among the findings, the association of the presence of decreased diffusivity in the corticospinal tract with later motor impairment was the most interesting.
