ADHD and Executive Functioning in Adolescents
DOI:
https://doi.org/10.63075/732vw407Abstract
The problem of Attention-Deficit/Hyperactivity Disorder (ADHD) in teens is a burning topic to neuroscience and computational modeling due to its complicated impact on the executive functioning (EF) a system of cognitive procedures regulating attention control, working memory, and impulse control. Growing more recent advances in the field of computer science, particularly in areas such as artificial intelligence (AI), machine learning (ML) and computational cognitive modeling, have enabled new possibilities to quantify, model and project such executive deficits with a new degree of precision. The intersection of ADHD and executive functioning and concepts of computational science, how data-driven algorithms and neuroinformatic tools can be applied to understand more about the cognitive processes of adolescents will be the subject of this review. According to the multimodal data, i.e., the functional MRI, EEG, and behavioral task data, machine learning frameworks may be made more efficient at identifying the type of ADHD, predicting the level of symptoms, and plotting the EF-related neural activities. Besides that, simulation-based explanations of cognition and reinforcement learning systems give lead on the deviation of executive regulation in ADHD bringing virtual test beds in the examination of neurocognitive processes. Besides diagnostics, digital interventions, including adaptive neurofeedback and training via a mobile device, and brain-computer interface (BCI) applications that are utilized to record attentional states in real-time are generated by AI-based systems. Despite being a promising one, problems of generalizability of data, ethical issues, and interpretation of the model still exist. The syncretism of the accuracy of computations and neurocognitive theory makes this review single out the likelihood of the AI-based methods to change the manner and manner in which the executive functioning associated with ADHD is analyzed, evaluated, and treated in the adolescents.
Keywords: Attention-Deficit Hyperactivity Disorder, Executive Functions, Computational Neuroscience, Machine Learning, Cognitive Modeling And Neuroinformatic, Artificial Intelligence, Adolescent Brain.
