Predictive Modelling of The Dynamic Patterns of Thinking in Attention-Deficit/Hyperactivity Disorder: Diagnostic Accuracy of Spatiotemporal Fractal Measures

摘要: Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental condition characterized by executive function (EF) dynamics disturbances. Notwithstanding, current advances in translational neuroscience, no ADHD objective, clinically useful, diagnostic marker available to date. Objectives: Using customized definition of EF and new clinical paradigm, we performed prospective accuracy trial assess the value several fractal measures from thinking processes or inferences cohort children typically developing controls. Method: We included age five twelve diagnosed with reference standard based on case history, physical neurological examination, Conners 3rd Edition, DSM-V. The index test consisted computer-based inference task set eight different instances Battleships game be solved. A consecutive series 18 cases controls (n = 36) recruited at primary paediatrics service Nelson Marlborough Health New Zealand underwent test. Several were obtained produce supervised classification models. Results: Notably, summarized logistic regression predicted probabilities games played each yielded 100% accuracy, sensitivity specificity both training an independent testing/validating cohort. Conclusions: From vantage point expeditious method robust results make this technique promising candidate develop screening, monitoring system for ADHD, may serve other Clinical registration ID #U1111-1146-3085