Naming problems do not reflect a second independent core deficit in dyslexia: double deficits explored.

J Exp Child Psychol

Department of Cognitive Neuroscience, University of Maastricht, Maastricht 6200 MD, The Netherlands.

Published: June 2009

The double deficit hypothesis states that naming speed problems represent a second core deficit in dyslexia independent from a phonological deficit. The current study investigated the main assumptions of this hypothesis in a large sample of well-diagnosed dyslexics. The three main findings were that (a) naming speed was consistently related only to reading speed; (b) phonological processing speed and naming speed loaded on the same factor, and this factor contributed strongly to reading speed; and (c) although general processing speed was involved in speeded naming of visual items, it did not explain the relationship between naming speed and reading speed. The results do not provide support for the existence of a second independent core naming deficit in dyslexia and indicate that speeded naming tasks are mainly phonological processing speed tasks with an important addition: fast cross-modal matching of visual symbols and phonological codes.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jecp.2008.12.004DOI Listing

Publication Analysis

Top Keywords

naming speed
16
deficit dyslexia
12
reading speed
12
processing speed
12
speed
10
naming
8
second independent
8
independent core
8
core deficit
8
phonological processing
8

Similar Publications

Wave-CAIPI Multiparameter MR Imaging in Neurology.

NMR Biomed

March 2025

Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

In clinical practice, particularly in neurology assessments, imaging multiparametric MR images with a single-sequence scan is often limited by either insufficient imaging contrast or the constraints of accelerated imaging techniques. A novel single scan 3D imaging method, incorporating Wave-CAIPI and MULTIPLEX technologies and named WAMP, has been developed for rapid and comprehensive parametric imaging in clinical diagnostic applications. Featuring a hybrid design that includes wave encoding, the CAIPIRINHA sampling pattern, dual time of repetition (TR), dual flip angle (FA), multiecho, and optional flow modulation, the WAMP method captures information on RF B1t fields, proton density (PD), T1, susceptibility, and blood flow.

View Article and Find Full Text PDF

Typhoon localization detection algorithm based on TGE-YOLO.

Sci Rep

January 2025

College of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, China.

To address the problems of complex cloud features in satellite cloud maps, inaccurate typhoon localization, and poor target detection accuracy, this paper proposes a new typhoon localization algorithm, named TGE-YOLO. It is based on the YOLOv8n model with excellent high-low feature fusion capability and innovatively achieves the organic combination of feature fusion, computational efficiency, and localization accuracy. Firstly, the TFAM_Concat module is creatively designed in the neck network, which comprehensively utilizes the detailed information of shallow features and the semantic information of deeper features, enhancing the fusion ability of features at each layer.

View Article and Find Full Text PDF

Background: The Achilles tendon is one of the most frequent sites of tendinopathy in both healthy and pathological subjects. An innovative approach for the quantitative assessment of the Achilles tendon structure, named Ultrasound Tissue Characterization (UTC), has recently been developed. However, no previous study performed the UTC-based assessment of the tendon structure in rheumatologic patients affected by insertional Achilles tendinopathy.

View Article and Find Full Text PDF

Objectives: Deidentification of personally identifiable information in free-text clinical data is fundamental to making these data broadly available for research. However, there exist gaps in the deidentification landscape with regard to the functionality and flexibility of extant tools, as well as suboptimal tradeoffs between deidentification accuracy and speed. To address these gaps and tradeoffs, we develop a new Python-based deidentification software, pyDeid.

View Article and Find Full Text PDF

Background: Gait impairments are one of the popular consequences of spinal cord injury (SCI). Acute intermittent hypoxia (AIH) is an innovative treatment that has recently been used to enhance motor function in patients with neurological conditions. This review aims to examine the effects of AIH on gait post-SCI, verify who most likely would benefit from the treatment, and recognize the best treatment protocol, if possible.

View Article and Find Full Text PDF

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!