Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

There have been increasing efforts to develop prediction models supporting personalised
detection, prediction, or treatment of ADHD. We overviewed the current status of prediction …

Objective. Computer-aided diagnosis of attention-deficit/hyperactivity disorder (ADHD) aims
to provide useful adjunctive indicators to support more accurate and cost-effective clinical …

Over its 30 years of existence, functional near-infrared spectroscopy (fNIRS) has matured
into a highly versatile tool to study brain function in infants and young children. Its …

Functional near-infrared spectroscopy (fNIRS), a growing neuroimaging modality, has been
utilized over the past few decades to understand the neuronal behavior in the brain. The …

Background Children with attention deficit hyperactivity disorder (ADHD) exhibit behavioral
inhibition deficits, which often lead to emotional dysregulation (ED) affecting individual …

Recently, there has been an increase in telemedicine applied to child neuropsychiatry, such
as the use of online platforms to collect remotely case histories and demographic and …

Flourishing is an important criterion for assessing well-being, however, controversy remains,
especially while assessing it with self-report measures. Therefore, to understand the …