. Event-related potentials (ERPs) of attention deficit hyperactivity disorder (ADHD) population have been extensively studied using the time-domain representation of signals but time-frequency domain techniques are less explored. Although, adult ADHD is a proven disorder, most of the electrophysiological studies have focused only on children with ADHD. . ERP data of 35 university students with ADHD and 35 control adults were recorded during visual continuous performance task (CPT). Gray level co-occurrence matrix-based texture features were extracted from time-frequency () images of event-related EEG epochs. Different ERP components measures, that is, amplitudes and latencies corresponding to N1, N2, and P3 components were also computed relative to standard and target stimuli. . Texture analysis has shown that the mean value of contrast, dissimilarity, and difference entropy is significantly reduced in adults with ADHD than in control adults. The mean correlation and homogeneity in adults with ADHD were significantly increased as compared with control adults. ERP components analysis has reported that adults with ADHD have reduced N1 amplitude to target stimuli, reduced N2 and P3 amplitude to both standard and target stimuli than controls. . The differences in texture features obtained from images of ERPs point toward altered information processing in adults with ADHD during a cognitive task. Findings of reduction in N1, N2, and P3 components highlight deficits of early sensory processing, stimulus categorization, and attentional resources, respectively, in adults with ADHD.

Download full-text PDF

Source
http://dx.doi.org/10.1177/1550059419842707DOI Listing

Publication Analysis

Top Keywords

adults adhd
20
control adults
16
adhd control
12
target stimuli
12
adhd
10
adults
9
texture features
8
erp components
8
standard target
8
reduced amplitude
8

Similar Publications

Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.

View Article and Find Full Text PDF

Background/objectives: Although ADHD in adults has become visible and inclusive in recent years in diagnostic manuals, research is still limited regarding the long-term outcomes of patients with this disorder. The main objective of this research was to address the many facets of predictor variables in girls with ADHD facing unplanned pregnancies at young ages in order to improve the management of pre-, peri-, and postnatal complications that may occur, as well as for early psychiatric diagnosis and effective intervention.

Methods: PubMed and Web of Science Databases were used to perform literature research, and a total of 27 records were selected and used for data extraction.

View Article and Find Full Text PDF

Attention Deficit Hyperactivity Disorder (ADHD) is a disorder that starts in childhood, sometimes persisting into adulthood. It puts a strain on their social, professional, family, and environmental lives, which can exacerbate disorders such as anxiety, depression, and bipolar disorder. : This paper aims to predict ADHD in children and adults and explain the main factors impacting this disorder.

View Article and Find Full Text PDF

Background: Prenatal exposure to high levels of testosterone affects the development of the brain. The purpose of this study was to compare the mothers of children with attention deficit hyperactivity disorder (ADHD) and those of healthy children in terms of the digit ratio (2D:4D). It also examines the relationship between ADHD symptoms and the 2D:4D in mothers.

View Article and Find Full Text PDF

Procrastination behavior has been reportedly associated with the evening preference. This study aimed to evaluate its difference between patients with circadian rhythm sleep-wake disorders with phase delay (CRSWDswPD) and healthy controls in terms of evening preference and comorbid psychiatric disorders. Thirty patients with CRSWDswPD and 29 healthy participants were included.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!