Attention deficit hyperactivity disorder (ADHD) is a chronic heritable developmental delay psychiatric disorder requiring chronic management, characterized by inattention, hyperactivity, hyperkinectivity and impulsivity. Subjective clinical evaluation still remains crucial in its diagnosis. Discussed are two key aspects in the "characterizing ADHD" and on the quest for objective "pathognomonic/endophenotypic diagnostic markers of ADHD". The first aspect briefly revolves around issues related to identification of pathognomonic/endophenotypic diagnostic markers in ADHD. Issues discussed include changes in ADHD definition, remission/persistence and overlapping-symptoms cum shared-heritability with its co-morbid cross-border mental disorder...
This study demonstrates that the EEG phenotypes as described by Johnstone, Gunkelman and Lunt are id...
Introduction: Adults with attention-deficit/hyperactivity disorder (ADHD) are examined by electroenc...
The aim of this study was to build a machine learning model to discriminate Attention Deficit Hypera...
Neurophysiology allows us to understand and modulate the neural mechanisms in ADHD with high time- a...
ADHD is a heterogeneous neurodevelopmental disorder associated with dysfunctions in several brain sy...
Objectives: The electrophysiological characteristics of attention-deficit/hyperactivity disorder (AD...
Attention deficit hyperactivity disorder (ADHD) is a mental disorder most notable in children. The d...
Electroencephalography (EEG) has, historically, played a focal role in the assessment of neural func...
This review article summarizes some recent developments in psychiatry such as personalized medicine,...
Neurophysiological correlates of Attention Deficit Disorder with and without Hyperactivity (ADD/HD) ...
Objective: This study examines the utility of new measures of event-related spatio-temporal waves in...
The authors investigated the parameters for predicting epileptiform abnormalities in a group of chil...
Objective: Objective biomarkers for attention-deficit/hyperactivity disorder (ADHD) could improve di...
This study demonstrates that the EEG phenotypes as described by Johnstone, Gunkelman & Lunt are ...
As a neuropsychiatric disorder, Attention Deficit and Hyperactivity (ADHD) onsets on childhood induc...
This study demonstrates that the EEG phenotypes as described by Johnstone, Gunkelman and Lunt are id...
Introduction: Adults with attention-deficit/hyperactivity disorder (ADHD) are examined by electroenc...
The aim of this study was to build a machine learning model to discriminate Attention Deficit Hypera...
Neurophysiology allows us to understand and modulate the neural mechanisms in ADHD with high time- a...
ADHD is a heterogeneous neurodevelopmental disorder associated with dysfunctions in several brain sy...
Objectives: The electrophysiological characteristics of attention-deficit/hyperactivity disorder (AD...
Attention deficit hyperactivity disorder (ADHD) is a mental disorder most notable in children. The d...
Electroencephalography (EEG) has, historically, played a focal role in the assessment of neural func...
This review article summarizes some recent developments in psychiatry such as personalized medicine,...
Neurophysiological correlates of Attention Deficit Disorder with and without Hyperactivity (ADD/HD) ...
Objective: This study examines the utility of new measures of event-related spatio-temporal waves in...
The authors investigated the parameters for predicting epileptiform abnormalities in a group of chil...
Objective: Objective biomarkers for attention-deficit/hyperactivity disorder (ADHD) could improve di...
This study demonstrates that the EEG phenotypes as described by Johnstone, Gunkelman & Lunt are ...
As a neuropsychiatric disorder, Attention Deficit and Hyperactivity (ADHD) onsets on childhood induc...
This study demonstrates that the EEG phenotypes as described by Johnstone, Gunkelman and Lunt are id...
Introduction: Adults with attention-deficit/hyperactivity disorder (ADHD) are examined by electroenc...
The aim of this study was to build a machine learning model to discriminate Attention Deficit Hypera...