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ADHD Diagnosis in Children Using EEG Amplitude Modulation Features and Machine Learning

This study proposes a diagnostic framework for childhood ADHD by extracting amplitude modulation features from EEG signals decomposed via wavelet analysis, achieving 99.46% accuracy with a KNN classifier. The approach integrates conventional and novel AM features, with discriminative information concentrated in gamma/beta bands and frontal brain regions, outperforming previous methods.

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Students' Experiences of Living with ADHD at University: A Meta-Ethnography

This meta-ethnographic synthesis of 25 qualitative studies (2000-2023) examines how ADHD affects university students' academic performance, social interactions, and overall well-being, with prevalence estimated at approximately 16%. Findings reveal common struggles with organization, time management, and focus, alongside challenges with university transitions and insufficient generic accommodations, while highlighting that tailored support and peer programs significantly enhance academic success.

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Face-to-Face vs. Online Behavioral Parent Training for Young Children with ADHD: Comparative Outcomes Study

This randomized controlled trial compared traditional face-to-face and online asynchronous behavioral parent training for young children with ADHD (n=196, mean age 50 months) against a wait-list control, with both formats showing equivalent effectiveness on parent-rated and masked behavioral assessments. Online delivery proved as feasible and acceptable as in-person sessions, suggesting it may reduce access barriers while maintaining therapeutic benefit.

StudiuADHDÎncredere înaltă26.06.2026

Advances in neuroimaging studies of thalamic abnormalities in children with ADHD

This review examines MRI findings showing thalamic structural and functional abnormalities in children with ADHD, including reduced volume in specific nuclei and impaired white matter pathways. Evidence indicates that medications like methylphenidate and atomoxetine can promote normalization of thalamic structure and network connectivity, with thalamic imaging metrics showing promise as biomarkers for genetic risk assessment, clinical subtype classification, and treatment prediction.