Cerebral palsy is a common motor disability in children, but current diagnostic measures often lead to delays in identifying and treating affected children. This study aimed to explore the feasibility of using general tau theory principles to detect movement dysfunction in very young infants with cerebral palsy. Researchers examined three potential tau-related markers in a sample of 20 infants, including 10 with cerebral palsy and 10 healthy controls. One of these markers, the standard deviation of the coupling constant k, was particularly investigated. The results showed that this marker could differentiate between infants with and without cerebral palsy in 18 out of the 20 infants studied. Furthermore, by setting a threshold standard deviation value of k at 0.30, the researchers achieved a specificity of 0.80 (ability to correctly identify healthy infants) and a sensitivity of 0.90 (ability to correctly identify infants with cerebral palsy). Different patterns of values across the infants' two limbs were also associated with specific classifications of cerebral palsy. Based on these findings, the study concluded that using tau theory-based analyses holds promise in quantitatively predicting both the presence and subtype of cerebral palsy with high sensitivity and specificity. This approach has the potential to improve early detection and intervention for children with cerebral palsy, facilitating timely support and treatment to enhance their motor development.

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