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[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
[HTML][HTML] EEG-based functional connectivity analysis of brain abnormalities: A review study
N Khaleghi, S Hashemi, M Peivandi, SZ Ardabili… - Informatics in Medicine …, 2024 - Elsevier
Several imaging modalities and many signal recording techniques have been used to study
the brain activities. Significant advancements in medical device technologies like …
the brain activities. Significant advancements in medical device technologies like …
ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework
M Bakhtyari, S Mirzaei - Biomedical Signal Processing and Control, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental behavioral disorder.
It is common in children, can be carried over into adulthood, and is associated with …
It is common in children, can be carried over into adulthood, and is associated with …
[HTML][HTML] A comparison of resting state EEG and structural MRI for classifying Alzheimer's disease and mild cognitive impairment
Alzheimer's disease (AD) is the leading cause of dementia, accounting for 70% of cases
worldwide. By 2050, dementia prevalence will have tripled, with most new cases occurring …
worldwide. By 2050, dementia prevalence will have tripled, with most new cases occurring …
Automatic identification of children with ADHD from EEG brain waves
A Alim, MH Imtiaz - Signals, 2023 - mdpi.com
EEG (electroencephalogram) signals could be used reliably to extract critical information
regarding ADHD (attention deficit hyperactivity disorder), a childhood neurodevelopmental …
regarding ADHD (attention deficit hyperactivity disorder), a childhood neurodevelopmental …
EEG biomarkers related with the functional state of stroke patients
Introduction Recent studies explored promising new quantitative methods to analyze
electroencephalography (EEG) signals. This paper analyzes the correlation of two EEG …
electroencephalography (EEG) signals. This paper analyzes the correlation of two EEG …
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
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 …
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
Direction of information flow between brain regions in ADHD and healthy children based on EEG by using directed phase transfer entropy
Directed information flow between brain regions might be disrupted in children with Attention
Deficit Hyperactivity Disorder (ADHD) which is related to the behavioral characteristics of …
Deficit Hyperactivity Disorder (ADHD) which is related to the behavioral characteristics of …
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 …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
Classification of the children with ADHD and healthy children based on the directed phase transfer entropy of EEG signals
A Ekhlasi, AM Nasrabadi… - Frontiers in …, 2021 - publish.kne-publishing.com
Purpose: The present study was conducted to investigate and classify two groups of healthy
children and children with Attention Deficit Hyperactivity Disorder (ADHD) by Effective …
children and children with Attention Deficit Hyperactivity Disorder (ADHD) by Effective …