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Movements Indicate Threat Response Phases in Children at Risk for Anxiety.

, , , , , , , and . IEEE J. Biomed. Health Informatics, 21 (5): 1460-1465 (2017)

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Facebook use and depressive symptomatology: Investigating the role of neuroticism and extraversion in youth., , , , and . Comput. Hum. Behav., (2014)Movements Indicate Threat Response Phases in Children at Risk for Anxiety., , , , , , , and . IEEE J. Biomed. Health Informatics, 21 (5): 1460-1465 (2017)Amygdala habituation and uncinate fasciculus connectivity in adolescence: A multi-modal approach., , , , , , , , , and . NeuroImage, (2018)Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning., , , , , , and . EMBC, page 3983-3986. IEEE, (2018)Amygdala-prefrontal cortex white matter tracts are widespread, variable and implicated in amygdala modulation in adolescents., , , , , , , , and . NeuroImage, (2019)Wearable sensors and machine learning diagnose anxiety and depression in young children., , , , , , and . BHI, page 410-413. IEEE, (2018)Differential Developmental Associations of Material Hardship Exposure and Adolescent Amygdala-Prefrontal Cortex White Matter Connectivity., , , , , , , , , and . J. Cogn. Neurosci., 34 (10): 1866-1891 (2022)Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood., , , , , , , , and . IEEE J. Biomed. Health Informatics, 23 (6): 2294-2301 (2019)