Topic: attention deficit hyperactivity disorder

Background: Diagnosing Attention Deficit Hyperactivity Disorder (ADHD) is a challenging process currently focused on questionnaires and clinical interviews, which could be sensitive to subjective biases (Farone et al. 2005). Some studies tried machine learning (ML) algorithms with neurophysiological data such as functional magnetic resonance imaging or electroencephalography to explore objective measures for diagnosing purporses (Mikolas et al. 2022). In this study, ML algorithms are built using cheaper and simpler measures including cognitive and intelligence assessments, reducing time and re

Our environment is polluted with plastic waste, wherein the degradation leads to the formation of micro and nanoplastics (NPs). These plastic particles contaminate water, soil, air, and food, exposing humans throughout their lives. Although NPs are detected in the human body, such as in blood, feces, and placenta, their potential impact on human health remains poorly understood. Moreover, the developing brains of fetuses and children may be sensitive to these molecules, potentially leading to functional impairments and altered behavior. Our study investigates the impact of chronic, low-dose ex

The cerebellum, traditionally associated with motor control, is now implicated also in higher cognitive functions. Patients exhibiting impaired cognition display cerebellar abnormalities, reported in disorders such as autism spectrum disorder (ASD), intellectual disability (ID), attention deficit hyperactivity disorder (ADHD), or schizophrenia. Purkinje cell migration deficits, volumetric changes and structural anomalies in the cerebellum have been observed in these conditions. This project aims to elucidate the connection between cerebellar circuit formation and neurodevelopmental disorders t