Attention Deficit Hyperactivity Disorder (ADHD)

A special issue of Diseases (ISSN 2079-9721). This special issue belongs to the section "Neuro-psychiatric Disorders".

Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 5154

Special Issue Editor

Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles, CP640, 808 route de Lennik, 1070 Brussels, Belgium
Interests: brain and movement relationships
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder affecting 3–7% of school-age children and affects about 5% of adults. While childhood ADHD is expressed by inattention, impulsive and hyperactive behaviour, most adults with ADHD show few externalizing symptoms and show attentional deficits that manifest as daily life difficulties in organization, time management, planning and task achievement. The recent development of dynamic EEG (electroencephalograph) has allowed to decipher oscillatory alterations in ADHD. The use of high-density EEG made possible the identification of brain generators involved in the neuronal processes related to perception, attention, decision and action. In order to better understand the origin of these neuronal alterations, it is necessary to develop new experimental paradigms and do not forget the fact that very early phenomena are taken into account in the processing of information. The brain's new conception as a neural oscillator should facilitate the analysis of the functioning of the underlying neural networks involving the study of the synchronicity and directionality of information flows during the achievement of specific behaviours. The emotional factors and the messages conveyed by the body should also be taken into account in order to consider new therapies based on the plasticity of neuronal oscillations.

Prof. Dr. Guy Cheron
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diseases is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ADHD
  • Neuronal oscillations
  • EEG dynamics
  • Source modelling
  • Synchrony
  • Directionality
  • Perception, Attention
  • Decision
  • Action

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 1144 KiB  
Article
Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms
by Julia Oppenheimer, Oluwafemi Ojo, Annalee Antonetty, Madeline Chiujdea, Stephanie Garcia, Sarah Weas, Tobias Loddenkemper, Eric Fleegler and Eugenia Chan
Diseases 2019, 7(1), 20; https://0-doi-org.brum.beds.ac.uk/10.3390/diseases7010020 - 07 Feb 2019
Cited by 7 | Viewed by 4735
Abstract
The aim of this study was to evaluate an automated trigger algorithm designed to detect potentially adverse events in children with Attention-Deficit/Hyperactivity Disorder (ADHD), who were monitored remotely between visits. We embedded a trigger algorithm derived from parent-reported ADHD rating scales within an [...] Read more.
The aim of this study was to evaluate an automated trigger algorithm designed to detect potentially adverse events in children with Attention-Deficit/Hyperactivity Disorder (ADHD), who were monitored remotely between visits. We embedded a trigger algorithm derived from parent-reported ADHD rating scales within an electronic patient monitoring system. We categorized clinicians’ alert resolution outcomes and compared Vanderbilt ADHD rating scale scores between patients who did or did not have triggered alerts. A total of 146 out of 1738 parent reports (8%) triggered alerts for 98 patients. One hundred and eleven alerts (76%) required immediate clinician review. Nurses successfully contacted parents for 68 (61%) of actionable alerts; 46% (31/68) led to a change in care plan prior to the next scheduled appointment. Compared to patients without alerts, patients with alerts demonstrated worsened ADHD severity (β = 5.8, 95% CI: 3.5–8.1 [p < 0.001] within 90 days prior to an alert. The trigger algorithm facilitated timely changes in the care plan in between face-to-face visits. Full article
(This article belongs to the Special Issue Attention Deficit Hyperactivity Disorder (ADHD))
Show Figures

Figure 1

Back to TopTop