Automated detection of ADHD: Current trends and future perspective

HW Loh, CP Ooi, PD Barua, EE Palmer… - Computers in Biology …, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

Exosomes: potential disease biomarkers and new therapeutic targets

MI Mosquera-Heredia, LC Morales, OM Vidal… - Biomedicines, 2021 - mdpi.com
Exosomes are extracellular vesicles released by cells, both constitutively and after cell
activation, and are present in different types of biological fluid. Exosomes are involved in the …

Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms

M Cao, E Martin, X Li - Translational Psychiatry, 2023 - nature.com
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …

Attention-deficit/hyperactive disorder updates

M Kessi, H Duan, J Xiong, B Chen, F He… - Frontiers in molecular …, 2022 - frontiersin.org
Background Attention-deficit/hyperactive disorder (ADHD) is a neurodevelopmental disorder
that commonly occurs in children with a prevalence ranging from 3.4 to 7.2%. It profoundly …

Individualized prediction models in ADHD: a systematic review and meta-regression

G Salazar de Pablo, R Iniesta, A Bellato, A Caye… - Molecular …, 2024 - nature.com
There have been increasing efforts to develop prediction models supporting personalised
detection, prediction, or treatment of ADHD. We overviewed the current status of prediction …

The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological …

R Knott, BP Johnson, J Tiego, O Mellahn, A Finlay… - Molecular Autism, 2021 - Springer
Background ASD and ADHD are prevalent neurodevelopmental disorders that frequently co-
occur and have strong evidence for a degree of shared genetic aetiology. Behavioural and …

On the feasibility of federated learning for neurodevelopmental disorders: Asd detection use-case

H Shamseddine, S Otoum… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurodevelopmental syndrome resulting from
alterations in the embryological brain pre-birth. This disorder distinguishes its patients by …

Molecular Mechanisms Underlying NMDARs Dysfunction and Their Role in ADHD Pathogenesis

J Kuś, K Saramowicz, M Czerniawska, W Wiese… - International Journal of …, 2023 - mdpi.com
Attention deficit hyperactivity disorder (ADHD) is one of the most common
neurodevelopmental disorders, although the aetiology of ADHD is not yet understood. One …

Impulsive and omission errors: potential temporal processing endophenotypes in ADHD

JE Acosta-Lopez, I Suarez, DA Pineda… - Brain Sciences, 2021 - mdpi.com
Temporal processing (TP) is associated with functions such as perception, verbal skills,
temporal perspective, and future planning, and is intercorrelated with working memory …

A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection

H Shamseddine, S Otoum, A Mourad - arXiv preprint arXiv:2211.00643, 2022 - arxiv.org
Autism Spectrum Disorder (ASD) is a neuro-developmental syndrome resulting from
alterations in the embryological brain before birth. This disorder distinguishes its patients by …