AIMC Topic: Attention Deficit Disorder with Hyperactivity

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Application of deep learning algorithm on whole genome sequencing data uncovers structural variants associated with multiple mental disorders in African American patients.

Molecular psychiatry Jan 8, 2022
Mental disorders present a global health concern, while the diagnosis of mental disorders can be challenging. The diagnosis is even harder for patients who have more than one type of mental disorder, especially for young toddlers who are not able to ...
Humans Ethnicity Minority Groups Algorithms Black or African American Deep Learning Attention Deficit Disorder with Hyperactivity Whole Genome Sequencing
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A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD.

NeuroImage Nov 30, 2021
The pathological mechanism of attention deficit hyperactivity disorder (ADHD) is incompletely specified, which leads to difficulty in precise diagnosis. Functional magnetic resonance imaging (fMRI) has emerged as a common neuroimaging technique for s...
Connectome Nerve Net Attention Deficit Disorder with Hyperactivity Neural Networks, Computer Adult Magnetic Resonance Imaging Young Adult Cerebral Cortex Humans
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Deep learning prediction of attention-deficit hyperactivity disorder in African Americans by copy number variation.

Experimental biology and medicine (Maywood, N.J.) Jul 7, 2021
Current understanding of the underlying molecular network and mechanism for attention-deficit hyperactivity disorder (ADHD) is lacking and incomplete. Previous studies suggest that genomic structural variations play an important role in the pathogene...
Humans Female DNA Copy Number Variations Whole Genome Sequencing Black or African American Attention Deficit Disorder with Hyperactivity Case-Control Studies Deep Learning Genetic Predisposition to Disease Reproducibility of Results Young Adult Male
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Intelligent Recognition of Hospital Image Based on Deep Learning: The Relationship between Adaptive Behavior and Family Function in Children with ADHD.

Journal of healthcare engineering Jun 4, 2021
Chronic diseases are gradually becoming the main threat to human health. By designing an efficient hospital management platform to quickly identify the corresponding chronic diseases, it can effectively reduce the labor cost, improve the accuracy of ...
Attention Deficit Disorder with Hyperactivity Child Humans Cognition Hospitals Adaptation, Psychological Deep Learning
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Robust diagnostic classification via Q-learning.

Scientific reports Jun 3, 2021
Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provide tools for domain experts in gaining additional insights toward complex clinical diagnoses. In this context these tools desire two additional propert...
Machine Learning Software Algorithms Humans Models, Theoretical Attention Deficit Disorder with Hyperactivity Autism Spectrum Disorder Clinical Decision-Making Decision Support Systems, Clinical
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Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.

Physical and engineering sciences in medicine May 27, 2021
Early diagnosis of attention deficit and hyperactivity disorder (ADHD) by experts is difficult. Some solutions using electroencephalography (EEG) signals have been presented in the literature to solve this problem. However, few studies have aimed to ...
Humans Neural Networks, Computer Deep Learning Attention Deficit Disorder with Hyperactivity Support Vector Machine Electroencephalography
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Evaluating atypical language in autism using automated language measures.

Scientific reports May 26, 2021
Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome and costly. Better language outcome measures are needed. Using language transcripts, we generated Automated Language Measures (ALMs) and tested their validity. 169 ...
Attention Deficit Disorder with Hyperactivity Language Disorders Child Logistic Models Magnetic Resonance Imaging Natural Language Processing Language Tests Models, Neurological Diagnosis, Differential Severity of Illness Index Humans Functional Neuroimaging Adolescent Autism Spectrum Disorder Female Male
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Whole-brain modelling of resting state fMRI differentiates ADHD subtypes and facilitates stratified neuro-stimulation therapy.

NeuroImage Feb 10, 2021
Recent advances in non-linear computational and dynamical modelling have opened up the possibility to parametrize dynamic neural mechanisms that drive complex behavior. Importantly, building models of neuronal processes is of key importance to fully ...
Neural Networks, Computer Brain Computer Simulation Adult Male Female Young Adult Humans Deep Brain Stimulation Middle Aged Rest Cohort Studies Nerve Net Magnetic Resonance Imaging Attention Deficit Disorder with Hyperactivity
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Deep learning applications for the classification of psychiatric disorders using neuroimaging data: Systematic review and meta-analysis.

NeuroImage. Clinical Feb 10, 2021
Deep learning (DL) methods have been increasingly applied to neuroimaging data to identify patients with psychiatric and neurological disorders. This review provides an overview of the different DL applications within psychiatry and compares DL model...
Humans Neuroimaging Machine Learning Autism Spectrum Disorder Attention Deficit Disorder with Hyperactivity Deep Learning
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Early response to SPN-812 (viloxazine extended-release) can predict efficacy outcome in pediatric subjects with ADHD: a machine learning post-hoc analysis of four randomized clinical trials.

Psychiatry research Jan 5, 2021
Machine learning (ML) was used to determine whether early response can predict efficacy outcome in pediatric subjects with ADHD treated with SPN-812. We used data from four Phase 3 placebo-controlled trials of 100- to 600-mg/day SPN-812 (N=1397; 6-17...
Male Attention Deficit Disorder with Hyperactivity Adolescent Drug Administration Schedule Viloxazine Child Central Nervous System Stimulants Delayed-Action Preparations Humans Randomized Controlled Trials as Topic Treatment Outcome Body Weight Machine Learning Double-Blind Method Clinical Trials as Topic Female Body Mass Index Dose-Response Relationship, Drug
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