[HTML][HTML] Exploring potential ADHD biomarkers through advanced machine learning: An examination of audiovisual integration networks

M Zamanzadeh, A Pourhedayat, F Bakouie… - Computers in Biology …, 2024 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental condition marked by
inattention and impulsivity, linked to disruptions in functional brain connectivity and structural …

Differences in Electroencephalography Power Levels between Poor and Good Performance in Attentional Tasks

M Matsuo, T Higuchi, T Ichibakase, H Suyama… - Brain Sciences, 2024 - mdpi.com
Decreased attentional function causes problems in daily life. However, a quick and easy
evaluation method of attentional function has not yet been developed. Therefore, we are …

Is mild ADHD beneficial? Brain criticality peaks at intermediate ADHD symptom scores across the population

H Haque, J Hirvonen, SH Wang, J Simola… - bioRxiv, 2022 - biorxiv.org
Attention-deficit/hyperactivity disorder (ADHD) is characterized by a continuum of symptoms
including inattentiveness, hyperfocus, and hyperactivity, that are manifested, eg, in …

Statistical machine learning methods for neuroscientific data: Analysing brain activity, psychopathology and cognitive function in adolescents

O Forbes - 2024 - eprints.qut.edu.au
This thesis aims to advance the use of neuroscience data to improve understanding of youth
mental health. The research focused on development of advanced statistical machine …

[PDF][PDF] Examining the Impacts of Mindfulness Martial Arts Intervention On Neural Indices of Auditory Selective Attention In Youth With ADHD

K McGuire - 2024 - ec.msvu.ca
ADHD, few studies have examined whether mindfulness impacts neurophysiological indices
of attention. The present study examined whether mindfulness impacts neural indices …