Can electroencephalography (EEG) identify ADHD subtypes? A systematic review

J Slater, R Joober, BL Koborsy, S Mitchell… - Neuroscience & …, 2022 - Elsevier
Abstract Attention Deficit/Hyperactivity Disorder (ADHD) has been associated with atypical
patterns of neural activity measured by electroencephalography (EEG). However, the …

Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review

Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry

Z Chen, B Hu, X Liu, B Becker, SB Eickhoff, K Miao… - BMC medicine, 2023 - Springer
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 …

Subtype classification of attention deficit hyperactivity disorder with hierarchical binary hypothesis testing framework

Y Gao, H Ni, Y Chen, Y Tang, X Liu - Journal of Neural …, 2023 - iopscience.iop.org
Objective. The diagnosis of attention deficit hyperactivity disorder (ADHD) subtypes is
important for the refined treatment of ADHD children. Although automated diagnosis …

Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children

C Song, ZQ Jiang, D Liu, LL Wu - Frontiers in psychiatry, 2022 - frontiersin.org
The prevalence of neurodevelopment disorders (NDDs) among children has been on the
rise. This has affected the health and social life of children. This condition has also imposed …

Impulsivity classification using EEG power and explainable machine learning

P Hüpen, H Kumar, A Shymanskaya… - … journal of neural …, 2023 - World Scientific
Impulsivity is a multidimensional construct often associated with unfavorable outcomes.
Previous studies have implicated several electroencephalography (EEG) indices to …

The ReadFree tool for the identification of poor readers: a validation study based on a machine learning approach in monolingual and minority-language children

D Carioti, NA Stucchi, C Toneatto, MF Masia… - Annals of …, 2023 - Springer
In this study, we validated the “ReadFree tool”, a computerised battery of 12 visual and
auditory tasks developed to identify poor readers also in minority-language children (MLC) …

注意缺陷多动障碍儿童神经影像学研究进展

张可馨, 张功 - 中国学校卫生, 2022 - cjsh.org.cn
注意缺陷多动障碍(attention-deficit/hyperactivity disorder, ADHD) 是儿童期一种常见的神经
发育障碍, 不同亚型患者在共病及其行为, 情感和认知功能方面存在显著差异 …

[PDF][PDF] Decision Level Fusion Using Hybrid Classifier for Mental Disease Classification.

M Ahmad, N Wahid, RA Hamid, S Sadiq… - … Materials & Continua, 2022 - cdn.techscience.cn
Mental health signifies the emotional, social, and psychological well-being of a person. It
also affects the way of thinking, feeling, and situation handling of a person. Stable mental …

Interpretación de redes neuronales profundas como herramienta para diferenciar subtipos de TDAH a partir de patrones de actividad

G Chico Delgado - 2023 - uvadoc.uva.es
El Trastorno por Déficit de Atención e Hiperactividad (TDAH) es un trastorno
neuropsiquiátrico que afecta a niños ya adultos. El TDAH se divide en tres subtipos …