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Diagnosis of Language Disorder and Attention Deficit Hyperactivity Disorder (ADHD) is difficult for several reasons. This study aims to establish a Chinese multi-center cohort for the early diagnosis of language disorder and ADHD in children, develop appropriate early assessment tools and formulate intervention programs and standards for early functional training. Based on a national multi-center research team with Chongqing, Shanghai, and Beijing as the core areas, the investigators established a specific disease cohort for early diagnosis of language disorder and ADHD: a specific disease cohort with language disorder (900 cases) who were 1-3 years when the follow-up started, and 4-6 years old at the end of follow-up; a specific cohort with ADHD (1200 cases) who were 3-6 years when the follow-up started, and 7-9 years old at the end of follow-up. At the time of enrollment, professional assessments such as clinical development indicators and neurological function indicators were assessed using functional near-infrared spectroscopy(fNIRS). Outcome measures were speech impairment and hyperactivity. Blood samples were taken from 600 speech-impaired patients and 800 ADHD patients. Of these, 800 ADHD subjects completed an fNIRS imaging task. Build an intelligent brain image big data analysis system to realize early quality control, processing, and analysis of brain images, and study objective markers for early disease detection. The investigators can use machine learning and applications for early diagnosis, developing big data analysis tools such as integrated clinical assessment and brain imaging, promoting comprehensive clinical assessment and big data analysis tools systems such as brain imaging, and building assessment tools for language disorders and ADHD. Through the implementation and results of the multi-center special disease cohort platform, evidence-based medical evidence is collected to form clinical standards and guidelines.
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2.ADHD
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2,100 participants in 4 patient groups
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Li Chen, doctor
Data sourced from clinicaltrials.gov
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