Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
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 PDFQuantitative Pupillometry Predicts Neurologic Deterioration in Patients with Large Middle Cerebral Artery Stroke.
Ann Neurol
January 2025
Department of Neurology, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Objective: This study assesses whether longitudinal quantitative pupillometry predicts neurological deterioration after large middle cerebral artery (MCA) stroke and determines how early changes are detectable.
Methods: This prospective, single-center observational cohort study included patients with large MCA stroke admitted to Boston Medical Center's intensive care unit (2019-2024). Associations between time-to-neurologic deterioration and quantitative pupillometry, including Neurological Pupil Index (NPi), were assessed using Cox proportional hazards models with time-dependent covariates adjusted for age, sex, and Alberta Stroke Program Early CT Score.
Enhanced detection of suboptimal effort in psychoeducational assessments for dyslexia.
Clin Neuropsychol
November 2024
Regional Assessment & Resource Centre, Queens University, Kingston, Ontario, Canada.
Article Synopsis
- - Performance validity tests (PVTs) are commonly used in neuropsychological assessments, but they are less frequently applied in diagnosing specific learning disabilities like dyslexia, despite the risk of noncredible test scores in students.
- - The study introduces the Dyslexia Assessment of Simulation or Honesty-Revised (DASH-R), a specialized PVT aimed at identifying individuals who exaggerate symptoms during dyslexia evaluations.
- - Results indicated that the DASH-R effectively distinguished between honest responders, those with diagnosed dyslexia, and individuals simulating dyslexia, showcasing high specificity and sensitivity when using a composite feigning index for diagnostic purposes.
Clinical and neuroimaging patterns of perinatal intracranial haemorrhage in fetuses and term-born neonates: a prospective observational cohort study.
Arch Dis Child Fetal Neonatal Ed
October 2024
Faculty of Medical and Health Sciences, School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Article Synopsis
- The study aimed to characterize perinatal intracranial hemorrhage (pICH), focusing on differences between cases diagnosed before and after birth and analyzing their causes and clinical patterns.
- Conducted over a decade, the research included 110 pICH cases, revealing that intraventricular hemorrhage (IVH) was most prevalent, particularly in prenatally diagnosed cases, while subpial hemorrhage was exclusively identified postnatally.
- The findings indicated that genetic disorders contributed to nearly a third of pICH cases, highlighting the necessity for next-generation sequencing to better understand genetic factors associated with prenatally diagnosed hemorrhages.
Examining the utility of the BAARS-IV scales as embedded symptom validity indicators for adult attention-deficit/hyperactivity disorder evaluations.
Clin Neuropsychol
October 2024
Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.
Article Synopsis
- This study explored whether high cut-scores on the Barkley Adult ADHD Rating Scale-Fourth Edition (BAARS-IV) can indicate when adults might be overreporting ADHD symptoms during evaluations.
- Researchers analyzed data from 162 adults, dividing them into valid and invalid groups based on their symptom validity tests, and found that certain cut-scores effectively distinguished between these groups.
- The study suggests using specific cut-scores from the Current Total and Current Sluggish Cognitive Tempo scales together to better identify symptom overreporting, recommending that scores above these thresholds should lead to further examination of the patient's claims.
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!