In recent times, the relevance of an accurate diagnosis of attention-deficit/hyperactivity disorder (ADHD) in adults has been the focus of several studies. No longer considered a pathology exclusive to children and adolescents, and taking into account its social implications, developing enhanced support tools for the current diagnostic procedure becomes a priority. Here we present a method for the objective assessment of ADHD in adults using chirp-evoked, paired auditory late responses (ALRs) combined with a two-dimensional ALR denoising scheme to extract correlates of intracortical inhibition. Our method allows for an effective single-sweep denoising, thus requiring less trials to obtain recognizable physiological features, useful as pointers of cortical impairment. Results allow an optimized diagnosis, reduction of data loss and acquisition time; moreover, they do not account exclusively for critical elements within clinical evaluations, but also allow studying the pathophysiology of the condition by providing objective information regarding impaired cortical functions.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jneumeth.2014.06.025 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Autism, ADHD, and Their Traits in Adults With Bulimia Nervosa and Binge Eating Disorder: A Scoping Review.
Eur Eat Disord Rev
January 2025
Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Objective: This review maps existing literature on the prevalence of autism and ADHD in adult patients with Bulimia Nervosa (BN) and Binge Eating Disorder (BED); patient and stakeholder perspectives on this comorbidity; clinical differences in this population; and potential treatment adaptations or adjunct therapies. This is with the aim to inform future research priorities to improve clinical practice.
Method: As pre-registered, and following PRISMA guidelines, six databases (Embase, MEDLINE via Ovid, PsycINFO, Web of Science, CENTRAL, and Scopus) were searched for studies regarding autism and/or ADHD (diagnosed, probable, or traits) in adult patients with BN or BED.
Detecting noncredible symptomology in ADHD evaluations using machine learning.
J Clin Exp Neuropsychol
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
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 PDFAttention Deficit Hyperactivity Disorder in Girls and the Risk of Unplanned Pregnancies.
Children (Basel)
January 2025
Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.
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.
Explainable Artificial Intelligence for Predicting Attention Deficit Hyperactivity Disorder in Children and Adults.
Healthcare (Basel)
January 2025
Research, Development, and Innovation Laboratory, Mundiapolis University, Casablanca 20180, Morocco.
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 PDFThe 2D:4D ratios in the mothers of children with attention deficit hyperactivity disorder.
Early Hum Dev
January 2025
Department of Psychiatry, Alanya Education and Research Hospital, Antalya 07425, Turkey.
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 PDFWant 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!