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Machine learning approach for classification of ADHD adults

International journal of psychophysiology, 2014-07, Vol.93 (1), p.162-166

2014

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Group Independent Component Analysis (gICA) and Current Source Density (CSD) in the study of EEG in ADHD adults

Clinical neurophysiology, 2014-01, Vol.125 (1), p.83-97

2014

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Longitudinal Analysis of Self-Reported Symptoms, Behavioral Measures, and Event-Related Potential Components of a Cued Go/NoGo Task in Adults With Attention-Deficit/Hyperactivity Disorder and Controls

Frontiers in human neuroscience, 2022-02, Vol.16, p.767789-767789

2022

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Discriminating between ADHD adults and controls using independent ERP components and a support vector machine: a validation study

Nonlinear biomedical physics, 2011-07, Vol.5 (1), p.5-5, Article 5

2011

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Configural Features in the Context of Upright and Inverted Faces

Perception (London), 2001-01, Vol.30 (1), p.73-83

2001

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Test-retest reliability of ERP components: A short-term replication of a visual Go/NoGo task in ADHD subjects

Neuroscience letters, 2016-03, Vol.617, p.166-172

2016

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Vigilance described by the time-on-task effect in EEG activity during a cued Go/NoGo task

International journal of psychophysiology, 2023-01, Vol.183, p.92-102

2023

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Longitudinal investigation in children and adolescents with ADHD and healthy controls: A 2-year ERP study

International journal of psychophysiology, 2023-01, Vol.183, p.117-129

2023

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EEG/ERP-based biomarker/neuroalgorithms in adults with ADHD: Development, reliability, and application in clinical practice

The world journal of biological psychiatry, 2020-03, Vol.21 (3), p.172-182

2020

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Facial emotion recognition deficits in children with and without attention deficit hyperactivity disorder: a behavioral and neurophysiological approach

Neuroreport, 2017-09, Vol.28 (14), p.917-921

2017

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Eurosibs: Towards robust measurement of infant neurocognitive predictors of autism across Europe

Infant behavior & development, 2019-11, Vol.57, p.101316, Article 101316

2019

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Classification of ADHD patients on the basis of independent ERP components using a machine learning system

Nonlinear biomedical physics, 2010-06, Vol.4 Suppl 1 (S1), p.S1-S1, Article S1

2010

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Predicting the clinical outcome of stimulant medication in pediatric attention-deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a go/no-go test

Neuropsychiatric disease and treatment, 2014-01, Vol.10, p.231-242

2014

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Altered cognitive processes in the acute phase of mTBI: an analysis of independent components of event-related potentials

Neuroreport, 2015-11, Vol.26 (16), p.952-957

2015

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Longitudinal study of a NoGo-P3 event-related potential component following mild traumatic brain injury in adults

Annals of physical and rehabilitation medicine, 2018-01, Vol.61 (1), p.18-26

2018

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Machine learning approach for classification of ADHD adults: Applied Neuroscience: Functional enhancement, prevention, characterisation and methodology. (Hosting the Society of Applied Neuroscience)

International journal of psychophysiology, 2014, Vol.93 (1), p.162-166

2014

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Machine learning approach for classification of ADHD adults

Group Independent Component Analysis (gICA) and Current Source Density (CSD) in the study of EEG in ADHD adults

Longitudinal Analysis of Self-Reported Symptoms, Behavioral Measures, and Event-Related Potential Components of a Cued Go/NoGo Task in Adults With Attention-Deficit/Hyperactivity Disorder and Controls

Discriminating between ADHD adults and controls using independent ERP components and a support vector machine: a validation study

Configural Features in the Context of Upright and Inverted Faces

Test-retest reliability of ERP components: A short-term replication of a visual Go/NoGo task in ADHD subjects

Vigilance described by the time-on-task effect in EEG activity during a cued Go/NoGo task

Longitudinal investigation in children and adolescents with ADHD and healthy controls: A 2-year ERP study

EEG/ERP-based biomarker/neuroalgorithms in adults with ADHD: Development, reliability, and application in clinical practice

Facial emotion recognition deficits in children with and without attention deficit hyperactivity disorder: a behavioral and neurophysiological approach

Eurosibs: Towards robust measurement of infant neurocognitive predictors of autism across Europe

Classification of ADHD patients on the basis of independent ERP components using a machine learning system

Predicting the clinical outcome of stimulant medication in pediatric attention-deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a go/no-go test

Altered cognitive processes in the acute phase of mTBI: an analysis of independent components of event-related potentials

Longitudinal study of a NoGo-P3 event-related potential component following mild traumatic brain injury in adults

Machine learning approach for classification of ADHD adults: Applied Neuroscience: Functional enhancement, prevention, characterisation and methodology. (Hosting the Society of Applied Neuroscience)

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