AIMC Topic: Attention Deficit Disorder with Hyperactivity

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EEG characteristics of children with attention-deficit/hyperactivity disorder.

Neuroscience Mar 26, 2019
The electroencephalogram (EEG) is an informative neuroimaging tool for studying attention-deficit/hyperactivity disorder (ADHD); one main goal is to characterize the EEG of children with ADHD. In this study, we employed the power spectrum, complexity...
Humans Machine Learning Child Electroencephalography Brain Waves Attention Deficit Disorder with Hyperactivity Brain Female Male
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Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology.

PloS one Dec 10, 2018
Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in the post-genomic era. Also, complex diseases present highly heterogeneous genotype, which difficult biological marker identification. Machine learnin...
Humans Machine Learning User-Computer Interface ROC Curve Phenotype Autism Spectrum Disorder Area Under Curve Gene Ontology Attention Deficit Disorder with Hyperactivity
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Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.

NeuroImage Aug 9, 2018
The human cerebellum plays an essential role in motor control, is involved in cognitive function (i.e., attention, working memory, and language), and helps to regulate emotional responses. Quantitative in-vivo assessment of the cerebellum is importan...
Machine Learning Autism Spectrum Disorder Female Adult Humans Attention Deficit Disorder with Hyperactivity Cerebellar Ataxia Image Processing, Computer-Assisted Cerebellum Male Magnetic Resonance Imaging Cohort Studies Neuroimaging Child
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Identifying individuals with attention deficit hyperactivity disorder based on temporal variability of dynamic functional connectivity.

Scientific reports Aug 7, 2018
Attention deficit hyperactivity disorder (ADHD) is a common disorder that emerges in school-age children. The diagnostic model based on neuroimaging features could be beneficial for ADHD in twofold: identifying individuals with ADHD and discovering t...
Connectome Attention Deficit Disorder with Hyperactivity Child Support Vector Machine Models, Neurological Humans Diagnosis, Computer-Assisted Adolescent Female Male
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Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity.

Neuroscience letters Jul 19, 2018
Previous brain morphology-related diagnostic models for attention-deficit hyperactivity disorder (ADHD) were based on regional features. However, building a model of individual interregional morphological connectivity is a challenging task. This stud...
Neural Pathways Nerve Net Attention Deficit Disorder with Hyperactivity Adolescent Child Magnetic Resonance Imaging Machine Learning Brain Mapping Female Brain Sensitivity and Specificity Male Humans
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Classification of ADHD with bi-objective optimization.

Journal of biomedical informatics Jul 17, 2018
Attention Deficit Hyperactive Disorder (ADHD) is one of the most common diseases in school aged children. In this paper, we consider using fMRI data with classification techniques to aid the diagnosis of ADHD and propose a bi-objective ADHD classific...
Magnetic Resonance Imaging Decision Making Models, Statistical Brain Mapping Child Image Processing, Computer-Assisted Support Vector Machine Medical Informatics Attention Deficit Disorder with Hyperactivity Databases, Factual Reproducibility of Results Humans Algorithms
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Assessing ADHD symptoms in children and adults: evaluating the role of objective measures.

Behavioral and brain functions : BBF May 18, 2018
BACKGROUND: Diagnostic guidelines recommend using a variety of methods to assess and diagnose ADHD. Applying subjective measures always incorporates risks such as informant biases or large differences between ratings obtained from diverse sources. Fu...
Support Vector Machine Neuropsychological Tests Symptom Assessment Attention Deficit Disorder with Hyperactivity Middle Aged Humans Child Adult
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Neurobiological support to the diagnosis of ADHD in stimulant-naïve adults: pattern recognition analyses of MRI data.

Acta psychiatrica Scandinavica Oct 28, 2017
OBJECTIVE: In adulthood, the diagnosis of attention-deficit/hyperactivity disorder (ADHD) has been subject of recent controversy. We searched for a neuroanatomical signature associated with ADHD spectrum symptoms in adults by applying, for the first ...
Neurobiology Support Vector Machine Magnetic Resonance Imaging Diffusion Tensor Imaging Attention Deficit Disorder with Hyperactivity Female Humans Adult Brain Male
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Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Sep 30, 2017
OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is still confronted ...
Attention Deficit Disorder with Hyperactivity Machine Learning Child Algorithms Electroencephalography Humans Stroop Test Male Evoked Potentials Time Factors
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Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks.

Neuroscience Aug 24, 2017
Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in school-age children. Previously developed machine learning-based methods have discriminated patients with ADHD from normal controls by providing label ...
Attention Deficit Disorder with Hyperactivity Time Factors Rest Prognosis Impulsive Behavior Child Brain Mapping Humans Neural Pathways Male Attention Magnetic Resonance Imaging Machine Learning Cohort Studies Brain
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