Objective: A visuo-spatial orienting task was used to investigate the individual and joint contribution of the presence of dyslexia and attention-deficit hyperactivity disorder (ADHD) to information processing.
Methods: Sixteen control, 17 dyslexic, 16 ADHD, and 15 comorbid adults performed the task, comprising a valid, invalid, and no-cue condition. Performance measures were errors and reaction time (RT). A negative potential in response to cues and targets (N2), and a positive potential in response to targets (P3) were derived from the EEG. A 2x2 design was used with the factors dyslexic/non-dyslexic, and ADHD/non-ADHD.
Results: Dyslexic participants demonstrated a smaller cue-related N2, yet a greater target-related N2 in the valid condition. ADHD participants were discriminated by the P3 difference between the invalid and valid conditions. Comorbids differed from ADHD mainly in invalid-valid RT, and were similar to dyslexics in target N2 processing.
Conclusions: Dyslexics were impaired in early information processing, and participants with ADHD differed for later processing stages.
Significance: This is the first ERP study of attentional processes in dyslexia to incorporate an ADHD and a comorbid group. Its results may contribute to differentiation of these clinical groups.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.clinph.2008.05.027 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effectiveness of robot-assisted task-oriented training intervention for upper limb and daily living skills in stroke patients: A meta-analysis.
PLoS One
January 2025
Department of Physical Education, Beijing Wuzi University, Beijing, China.
Purpose: Stroke is one of the leading causes of acquired disability in adults in high-income countries. This study aims to determine the intervention effects of robot-assisted task-oriented training on enhancing the upper limb function and daily living skills of stroke patients.
Methods: A systematic search was conducted across PubMed, China National Knowledge Infrastructure, Web of Science, Cochrane Library, Embase, and Scopus databases through March 1, 2024.
Clinical Manifestations.
Alzheimers Dement
December 2024
Institute of Neuroscience - UCLouvain, Brussels, Belgium.
Background: The medial temporal lobe (MTL) is the first cortical region affected by tauopathy in Alzheimer's disease (AD) and is implicated in spatial orientation. In early AD stages, navigation deficits, including path integration deficits, could be present, even before memory deficits. We investigated whether these deficits were related to AD pathology (amyloidosis and/or tauopathy) using a path integration task, the "Apple Game".
View Article and Find Full Text PDFClinical Manifestations.
Alzheimers Dement
December 2024
University of Florida, Gainesville, FL, USA.
Background: Preexisting cognitive impairment is a significant risk factor for post operative delirium (POD), and POD increases morbidity and mortality. Disturbances of attention (i.e.
View Article and Find Full Text PDFClinical Manifestations.
Alzheimers Dement
December 2024
Clinical Hospital of the Ribeirão Preto Medical School of the University of São Paulo (HCFMRP-USP), Ribeirão Preto, São Paulo, Brazil.
Background: Spatial orientation involves egocentric and allocentric strategies that switch in the brain. Disturbances in switching may indicate Neurocognitive Disorders, which contribute to early detection of Alzheimer's Disease. The "Ego-Allo-Switching Task" (EAST) needs to be adapted for cross-cultural use in Brazil.
View Article and Find Full Text PDFDNA promoter task-oriented dictionary mining and prediction model based on natural language technology.
Sci Rep
January 2025
National Engineering Research Centre for Agri-Product Quality Traceability, Beijing Technology and Business University, No.11 Fucheng Road, Beijing, 100048, China.
Promoters are essential DNA sequences that initiate transcription and regulate gene expression. Precisely identifying promoter sites is crucial for deciphering gene expression patterns and the roles of gene regulatory networks. Recent advancements in bioinformatics have leveraged deep learning and natural language processing (NLP) to enhance promoter prediction accuracy.
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!