Dataset Information

Monitoring Attention in ADHD with an Easy-to-Use Electrophysiological Index.

ABSTRACT: Attention deficit hyperactivity disorder (ADHD) involves characteristic electroencephalographic (EEG) activity. We developed a single-channel EEG marker for attention: the Brain Engagement Index (BEI'). In this study, we evaluated the use of BEI' for distinguishing between ADHD patients and controls, and for monitoring the effect of pharmacological treatment on ADHD patients. The BEI' values of 20 ADHD patients and 10 controls were measured using a 1-min auditory oddball paradigm and a continuous performance test (CPT) task. We showed that CPT BEI' is trait-specific and separates controls from ADHD patients. At the same time, oddball BEI' is state-specific and identifies differences in attention level within the two groups of ADHD participants and controls. The oddball BEI' also associates with response to treatment, after distinguishing between treatment effect and learning/time effect. The combined use of this marker with common computerized tests holds promise for research and clinical use in ADHD. Further work is required to confirm the results of the present study.

SUBMITTER: Shahaf G

PROVIDER: S-EPMC5799268 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Monitoring Attention in ADHD with an Easy-to-Use Electrophysiological Index.

Shahaf Goded G Nitzan Uri U Erez Galit G Mendelovic Shlomo S Bloch Yuval Y

Frontiers in human neuroscience 20180201

Attention deficit hyperactivity disorder (ADHD) involves characteristic electroencephalographic (EEG) activity. We developed a single-channel EEG marker for attention: the Brain Engagement Index (BEI'). In this study, we evaluated the use of BEI' for distinguishing between ADHD patients and controls, and for monitoring the effect of pharmacological treatment on ADHD patients. The BEI' values of 20 ADHD patients and 10 controls were measured using a 1-min auditory oddball paradigm and a continuou ...[more]

PMID: 29449806

Similar Datasets

Project description:While psychiatric comorbidities of attention-deficit/hyperactivity disorder (ADHD) have been extensively explored, less attention has been paid to somatic conditions possibly associated with this disorder. However, mounting evidence in the last decade pointed to a possible significant association between ADHD and certain somatic conditions, including obesity. This papers provides an update of a previous systematic review on the relationship between obesity and ADHD (Cortese and Vincenzi, Curr Top Behav Neurosci 9:199-218, 2012), focusing on pertinent peer-reviewed empirical papers published since 2012. We conducted a systematic search in PubMed, Ovid, and Web of Knowledge databases (search dates: from January 1st, 2012, to July 16th, 2016). We retained a total of 41 studies, providing information on the prevalence of obesity in individuals with ADHD, focusing on the rates of ADHD in individuals with obesity, or reporting data useful to gain insight into possible mechanisms underlying the putative association between ADHD and obesity. Overall, over the past 4 years, an increasing number of studies have assessed the prevalence of obesity in individuals with ADHD or the rates of ADHD in patients with obesity. Although findings are mixed across individual studies, meta-analytic evidence shows a significant association between ADHD and obesity, regardless of possible confounding factors such as psychiatric comorbidities. An increasing number of studies have also addressed possible mechanisms underlying the link between ADHD and obesity, highlighting the role, among others, of abnormal eating patterns, sedentary lifestyle, and possible common genetic alterations. Importantly, recent longitudinal studies support a causal role of ADHD in contributing to weight gain. The next generation of studies in the field should explore if and to which extent the treatment of comorbid ADHD in individuals with obesity may lead to long-term weight loss, ultimately improving their overall well-being and quality of life.

Dataset Information

Monitoring Attention in ADHD with an Easy-to-Use Electrophysiological Index.

Publications

Monitoring Attention in ADHD with an Easy-to-Use Electrophysiological Index.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets