Nunez Valerie, Gordon James, Oh-Park Mooyeon, Silvers Jessica, Verghese Tanya, Zemon Vance, Mahoney Jeannette R
Department of Neurology, Division of Cognitive and Sensorimotor Aging, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.
Department of Psychology, Hunter College, City University of New York, 695 Park Ave., New York, NY 10065, USA.
Brain Sci. 2025 Jun 17;15(6):653. doi: 10.3390/brainsci15060653.
Recent research has correlated an inability to integrate sensory information with several adverse clinical outcomes, including slow gait, poor balance, and falls. For this reason, a digital health iPhone app (CatchU v3.1.2) has been strategically designed to bring the measurement of visual-somatosensory integration into clinical settings. The purpose of this study was to determine whether CatchU could reliably capture the phenomenon of multisensory integration compared to a validated piece of laboratory apparatus ("tristimulator"). : Using both the established tristimulator and CatchU, 50 participants (76.5 ± 6.2 years of age, 60% female) completed a simple reaction time test in response to visual, somatosensory, and combined visual-somatosensory stimulation. A reaction time cumulative distribution frequency (CDF) curve was calculated for each stimulus condition, and together these were used to calculate the CDF difference function (the multisensory visual-somatosensory CDF minus a magnitude-limited sum of the unisensory visual and somatosensory CDFs). From this, the magnitude of visual-somatosensory integration (VSI) was obtained. : CatchU captured multisensory integration in both average reaction times and the CDF difference function. It also produced a similar magnitude of VSI and showed no systematic bias compared to the laboratory stimulator. Additionally, CatchU responses were significantly less variable than responses recorded using the tristimulator. : Despite using different forms of stimulation and different methods to record responses, these results reveal that CatchU can be used to produce the same inferences as laboratory apparatus. This confirms the ability of CatchU to reliably capture VSI.
最近的研究表明,无法整合感官信息与多种不良临床结果相关,包括步态缓慢、平衡能力差和跌倒。因此,一款数字健康iPhone应用程序(CatchU v3.1.2)经过精心设计,旨在将视觉 - 体感整合的测量引入临床环境。本研究的目的是确定与经过验证的实验室仪器(“三刺激仪”)相比,CatchU能否可靠地捕捉多感官整合现象。:使用既定的三刺激仪和CatchU,50名参与者(年龄76.5±6.2岁,60%为女性)完成了一项简单反应时间测试,以响应视觉、体感以及视觉 - 体感联合刺激。针对每种刺激条件计算反应时间累积分布频率(CDF)曲线,并将这些曲线一起用于计算CDF差异函数(多感官视觉 - 体感CDF减去单感官视觉和体感CDF的幅度受限总和)。由此获得视觉 - 体感整合(VSI)的幅度。:CatchU在平均反应时间和CDF差异函数中均捕捉到了多感官整合。它还产生了相似幅度的VSI,并且与实验室刺激仪相比没有显示出系统偏差。此外,CatchU的反应变异性明显小于使用三刺激仪记录的反应。:尽管使用了不同形式的刺激和不同的反应记录方法,但这些结果表明CatchU可用于得出与实验室仪器相同的推论。这证实了CatchU可靠捕捉VSI的能力。