摘要：Response latency (RT) is a crucial measure in studying human behavior, representing the time between the onset of a stimulus or task and the subject's response. The different time bases among visual stimulus generation devices and response collection devices introduces errors in RT measurements. These errors can be mitigated through the serial port synchronization signals, but limited information is available regarding their accuracy. This study aims to investigate methods for reducing the time errors to achieve accurate RT measurements. PsychToolbox generated visual stimuli and serial port synchronization signals, for comparison their timing. The findings revealed the following: Firstly, the serial synchronization signal presenting precedes visual stimulation, with a smaller lead time observed at higher refresh rates. Secondly, the lead time increases as the stimulus position deviates further to the right and downwards. Additionally, in Linux and IOPort(), serial port synchronization signals exhibited greater accuracy. Considering the inherent poor timing accuracy and the multiple influencing factors associated with serial port synchronization signals, it is recommended to employ light signal measuring the RT. However, differences in position between the light signal and visual stimuli introduce errors. To address this issue, a calibration formula was proposed and verified in this study. The results indicate that under the darkening process, the mean value of the time error is about -0.1ms. This accuracy enables precise calculation of the visual stimulus presentation moment, thereby obtaining accurate RT. This study offers valuable insights for optimizing experimental design and improving the accuracy of RT measurements.
摘要： Abstract: To face the challenges of keeping healthy in increasing population sizes of both ageing and developing people in China, a fundamental request from the public health is the development of lifespan normative trajectories of brain and behavior. This paper introduces the Chinese Color Nest Project (CCNP 2013–2022), a large-scale tenyear program of modeling brain and behavioral trajectories for human lifespan (6–85 years old). We plan to gradually collect the behavioral and brain imaging data at ages across the lifespan on nationwide and depict the normal trajectory of Chinese brain development across the lifespan, based on the accelerated longitudinal design in the coming next 10 years starting at 2013. Various psychiatric disorders have been demonstrated highly relevant to abnormal events during the neurodevelopment regarding their onset ages of first episodes. Therefore, delineation of normative growth curves of brain and cognition in typically developing children is extremely useful for monitoring, early detecting and intervention of various neurodevelopmental disorders. In this paper, we detailed the developing part of CCNP, devCCNP. It tracked 192 healthy children and adolescents (6–18 years old) in Beibei district of Chongqing for the first 5 years of the full CCNP cohort (2013–2017). To demonstrate the feasibility of implementing the longterm follow-up of CCNP, we here comprehensively document devCCNP in terms of its experimental design, sample strategies, data acquisition and storage as well as some preliminary results and data sharing roadmap for future. Specifically, we first describe the accelerated longitudinal sampling design as well as its exact ratio of sample dropping off during the data collection. Second, we present several initial findings such as canonical growth curves of cortical surface areas of a set of well-established large-scale functional networks of the human brain. Finally, together with records generated by many psychological and behavioral tests, we will provide an individual growing-up report for each family participating the program, initiating the potential guidance on the individual academic and social development. The resources introduced in the current work can provide first-hand data for a series of coming Chinese brain development studies, such as Chinese Standard MRI Brain Templates, Normative Growth Curves of Chinese Brain and Cognition as well as Mapping of Language Areas in Chinese Developing Brain. These would not only offer normative references of the atypical brain and cognition development for Chinese population but also serve as a strong force on accelerating the pace of integrating Chinese brain development into the national brain program or Chinese Brain Project.