Spectral analysis of the electrophysiological output at a single, midline prefrontal location (the vertex) was conducted in 482 individuals, ages 6-30 years old, to test the hypothesis that cortical slowing in the prefrontal region can serve as a basis for differentiating patients with attention deficit hyperactivity disorder (ADHD) from nonclinical control groups. Participants were classified into 3 groups (ADHD, inattentive; ADHD, combined; and control) on the basis of the results of a standardized clinical interview, behavioral rating scales, and a continuous performance test. Quantitative electroencephalographic (QEEG) findings indicated significant maturational effects in cortical arousal in the prefrontal cortex as well as evidence of cortical slowing in both ADHD groups, regardless of age or sex. Sensitivity of the QEEG-derived attentional index was 86%; specificity was 98%. These findings constituted a positive initial test of a QEEG-based neurometric test for use in the assessment of ADHD.
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http://dx.doi.org/10.1037/0894-4105.13.3.424 | DOI Listing |
Introduction: Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder among children and adolescents. The disorder negatively influences their academic performance and social relations, and their quality of life (QoL) is lower than that of peers without ADHD. The majority of children and adolescents with ADHD are treated with medication that potentially has an insufficient effect or frequently occurring adverse events.
View Article and Find Full Text PDFPsychol Med
January 2025
Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
Background: Psychostimulants and nonstimulants have partially overlapping pharmacological targets on attention-deficit/hyperactivity disorder (ADHD), but whether their neuroimaging underpinnings differ is elusive. We aimed to identify overlapping and medication-specific brain functional mechanisms of psychostimulants and nonstimulants on ADHD.
Methods: After a systematic literature search and database construction, the imputed maps of separate and pooled neuropharmacological mechanisms were meta-analyzed by Seed-based Mapping toolbox, followed by large-scale network analysis to uncover potential coactivation patterns and meta-regression analysis to examine the modulatory effects of age and sex.
Int J Behav Nutr Phys Act
January 2025
Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong SAR, China.
Background: Physical activity (PA) interventions have been shown to yield positive effects on cognitive functions. However, it is unclear which type of PA intervention is the most effective in children and adolescents with Neurodevelopmental Disorders (NDDs). This study aimed to compare the effectiveness of different types of PA interventions on cognitive functions in children and adolescents with NDDs, with additional analyses examining intervention effects across specific NDD types including attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD).
View Article and Find Full Text PDFAnn Gen Psychiatry
January 2025
Department of Psychiatry and Psychotherapy, Semmelweis University, 1083 Balassa utca 6, Budapest, Hungary.
Background: Increased levels of emotion dysregulation and impulsive behavior are overlapping symptoms in adult Attention-Deficit/Hyperactivity Disorder (aADHD) and Borderline Personality Disorder (BPD), both symptom domains reflecting on inhibitory control, although from different angles. Our aims were to describe their differences in the above conditions, investigate their associations with childhood traumatization, and to explore the potential mediation of emotion dysregulation and impulsivity between childhood traumas and personality functioning.
Methods: Young adults between 18 and 36 years diagnosed with aADHD (n = 100) and BPD (n = 63) were investigated with structured clinical interviews, while age-matched healthy controls (n = 100) were screened for psychiatric disorders.
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