Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that can co-occur with learning disabilities and with various related conditions or disorders that may develop due to behavioral, psychosocial, or biological mechanisms. Co-occurring conditions include:
• mood disorders, which may evolve into bipolar spectrum disorders in late childhood, adolescence, and early adulthood in a large minority of youth with serious mood problems
• anxiety disorders
• oppositional defiant disorder (ODD), which may evolve into conduct disorder (CD) and/or substance abuse in older youths or personality disorder (with or without ADHD) in adulthood
• other impulse control disorders, including trichotillomania
• obsessive-compulsive disorder (OCD), tic disorders and Tourette Syndrome
• autism spectrum disorder (ASD)
• pervasive developmental disorders (PDD)
• post-traumatic stress disorder (PTSD).
Digital technology and artificial intelligence (AI) are increasingly being used to provide services beyond the limitations of time and space, offering invaluable insights into the developmental process, and hold the prospect of acutely individualized care. It is expected that by utilizing digital technology, more patients can be screened easily and quickly, diagnosed more accurately, and treated in a more efficient and patient-friendly way. This Research Topic will focus on state-of-the-art research for the development and evaluation of digital technologies in the field of ADHD and related disorders.
Our goal is to examine how recent developments in digital technologies contribute to the field of ADHD and related disorders. We will present research regarding screening tools including objective measures in augmented reality (AR), virtual reality (VR), and extended reality (XR), while tools for aiding diagnosis may include algorithms or AI models using data from Internet of Things (IoT) devices and/or medical imaging technologies such as fNiRs and fMRI. Algorithms may be developed through the use of machine learning or deep learning techniques to increase the performance of screening and diagnosis methods. In parallel, treatment tools may include game-like tasks in a digital environment that improve neurocognition, or the cognitive, behavioral, or affective symptoms of mental health problems, and teach coping skills.
This Research Topic invites contributions focused on ADHD and related disorders on the following themes:
• simulation of tasks through AR/VR/XR for evaluation and treatment
• use of IoT in combination with AR/VR/XR to collect real-world data
• multi-modal analysis from digital technology data for evaluation purposes
• models and experiments using medical imaging technologies, e.g. fNiRs and fMRI, for use in screening, diagnosis, and treatment
• clinical results of screening, diagnosis, and treatment using digital technologies.
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that can co-occur with learning disabilities and with various related conditions or disorders that may develop due to behavioral, psychosocial, or biological mechanisms. Co-occurring conditions include:
• mood disorders, which may evolve into bipolar spectrum disorders in late childhood, adolescence, and early adulthood in a large minority of youth with serious mood problems
• anxiety disorders
• oppositional defiant disorder (ODD), which may evolve into conduct disorder (CD) and/or substance abuse in older youths or personality disorder (with or without ADHD) in adulthood
• other impulse control disorders, including trichotillomania
• obsessive-compulsive disorder (OCD), tic disorders and Tourette Syndrome
• autism spectrum disorder (ASD)
• pervasive developmental disorders (PDD)
• post-traumatic stress disorder (PTSD).
Digital technology and artificial intelligence (AI) are increasingly being used to provide services beyond the limitations of time and space, offering invaluable insights into the developmental process, and hold the prospect of acutely individualized care. It is expected that by utilizing digital technology, more patients can be screened easily and quickly, diagnosed more accurately, and treated in a more efficient and patient-friendly way. This Research Topic will focus on state-of-the-art research for the development and evaluation of digital technologies in the field of ADHD and related disorders.
Our goal is to examine how recent developments in digital technologies contribute to the field of ADHD and related disorders. We will present research regarding screening tools including objective measures in augmented reality (AR), virtual reality (VR), and extended reality (XR), while tools for aiding diagnosis may include algorithms or AI models using data from Internet of Things (IoT) devices and/or medical imaging technologies such as fNiRs and fMRI. Algorithms may be developed through the use of machine learning or deep learning techniques to increase the performance of screening and diagnosis methods. In parallel, treatment tools may include game-like tasks in a digital environment that improve neurocognition, or the cognitive, behavioral, or affective symptoms of mental health problems, and teach coping skills.
This Research Topic invites contributions focused on ADHD and related disorders on the following themes:
• simulation of tasks through AR/VR/XR for evaluation and treatment
• use of IoT in combination with AR/VR/XR to collect real-world data
• multi-modal analysis from digital technology data for evaluation purposes
• models and experiments using medical imaging technologies, e.g. fNiRs and fMRI, for use in screening, diagnosis, and treatment
• clinical results of screening, diagnosis, and treatment using digital technologies.
