Current Research in ADHD among Adults

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Social Cognitive and Affective Neuroscience".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 5511

Special Issue Editors

Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
Interests: ADHD; affective disorders; neurostimulation; major depression; psychopharmacology; clinical trials; neuroimaging
Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
Interests: adult ADHD; depression; electroencephalography; cognitive neuroscience; neuropsychology; neurostimulation

Special Issue Information

Dear Colleagues,

Although attention deficit hyperactivity disorder (ADHD) has been viewed in the past as a mental disorder in childhood, in recent years, diagnoses in adult patients have significantly increased. The high level of comorbid psychiatric disorders and symptom overlap complicate the differential diagnosis of ADHD in adults. A better understanding of ADHD and making it easier to diagnose it accurately can improve overall disease management and reduce its negative effects.

This special issue of Brain Sciences aims to present the newest research in the field of adult ADHD including advances in diagnostic and treatment procedures as well as in health services research. Authors are invited to submit cutting-edge research and reviews that address a broad range of topics relating to adult ADHD including epidemiology, evidence-based treatment, prediction of ADHD-specific treatment, different diagnostic methods (e.g. EEG, neuroimaging) with a high translational impact to clinical care.

Dr. Maria Strauß
Dr. Jue Huang
Guest Editors

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. Brain Sciences 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 2200 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

  • diagnosis
  • treatment
  • neurostimulation
  • epidemiology
  • psychotherapy: transition
  • neuroimaging
  • electroencephalography

Published Papers (2 papers)

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

Research

13 pages, 852 KiB  
Article
Association between Individual Norepinephrine Transporter (NET) Availability and Response to Pharmacological Therapy in Adults with Attention-Deficit/Hyperactivity Disorder (ADHD)
by Jue Huang, Nicole Mauche, Michael Rullmann, Christine Ulke, Georg-Alexander Becker, Marianne Patt, Franziska Zientek, Swen Hesse, Osama Sabri and Maria Strauß
Brain Sci. 2022, 12(8), 965; https://doi.org/10.3390/brainsci12080965 - 22 Jul 2022
Cited by 1 | Viewed by 1598
Abstract
Background: The role of the norepinephrine transporter (NET) has received increased focus in recent studies on the pathogenesis of attention-deficit/hyperactivity disorder (ADHD). The predictive value for pharmacological treatment and its link to other health or social limitations has been little-studied. This follow-up research [...] Read more.
Background: The role of the norepinephrine transporter (NET) has received increased focus in recent studies on the pathogenesis of attention-deficit/hyperactivity disorder (ADHD). The predictive value for pharmacological treatment and its link to other health or social limitations has been little-studied. This follow-up research on adult patients with ADHD aimed to explore whether the therapy response and health and social impairments depend on baseline individual NET availability. Methods: Data were collected from 10 patients on personal, family and professional situations, mental and physical health and treatments received after baseline via online and telephone surveys and were compared to baseline data to evaluate treatment-related changes. Results: The majority of our ADHD patients did not show therapy responses but showed improvements due to pharmacological treatment. There was no evidence of relationships between pre-treatment NET availability and therapy response or health/social limitations. Conclusions: Pharmacological monotherapy was insufficient to promote symptom remission, especially for participants with extreme insufficiency in NET availability, but improved outcomes in academic and social functioning. Psychotherapy should be considered as an add-on to the standard treatment approach due to its positive outcome in reducing social limitations. The prognostic value of individual NET availability in predicting the response to therapy needs further studies with large sample sizes. Full article
(This article belongs to the Special Issue Current Research in ADHD among Adults)
Show Figures

Figure 1

17 pages, 1890 KiB  
Article
Accurate Identification of ADHD among Adults Using Real-Time Activity Data
by Amandeep Kaur and Karanjeet Singh Kahlon
Brain Sci. 2022, 12(7), 831; https://doi.org/10.3390/brainsci12070831 - 26 Jun 2022
Cited by 5 | Viewed by 2388
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopment disorder that affects millions of children and typically persists into adulthood. It must be diagnosed efficiently and consistently to receive adequate treatment, otherwise, it can have a detrimental impact on the patient’s professional performance, mental [...] Read more.
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopment disorder that affects millions of children and typically persists into adulthood. It must be diagnosed efficiently and consistently to receive adequate treatment, otherwise, it can have a detrimental impact on the patient’s professional performance, mental health, and relationships. In this work, motor activity data of adults suffering from ADHD and clinical controls has been preprocessed to obtain 788 activity-related statistical features. Afterwards, principal component analysis has been carried out to obtain significant features for accurate classification. These features are then fed into six different machine learning algorithms for classification, which include C4.5, kNN, Random Forest, LogitBoost, SVM, and Naive Bayes. The detailed evaluation of the results through 10-fold cross-validation reveals that SVM outperforms other classifiers with an accuracy of 98.43%, F-measure of 98.42%, sensitivity of 98.33%, specificity of 98.56% and AUC of 0.983. Thus, a PCA-based SVM approach appears to be an effective choice for accurate identification of ADHD patients among other clinical controls using real-time analysis of activity data. Full article
(This article belongs to the Special Issue Current Research in ADHD among Adults)
Show Figures

Figure 1

Back to TopTop