A longitudinal neuroimaging dataset on multisensory lexical processing in school-aged children

Author:

Lytle Marisa N.ORCID,McNorgan ChrisORCID,Booth James R.

Abstract

AbstractHere we describe the open access dataset entitled “Longitudinal Brain Correlates of Multisensory Lexical Processing in Children” hosted on OpenNeuro.org. This dataset examines reading development through a longitudinal multimodal neuroimaging and behavioral approach, including diffusion-weighted and T1-weighted structural magnetic resonance imaging (MRI), task based functional MRI, and a battery of psycho-educational assessments and parental questionnaires. Neuroimaging, psycho-educational testing, and functional task behavioral data were collected from 188 typically developing children when they were approximately 10.5 years old (session T1). Seventy children returned approximately 2.5 years later (session T2), of which all completed longitudinal follow-ups of psycho-educational testing, and 49 completed neuroimaging and functional tasks. At session T1 participants completed auditory, visual, and audio-visual word and pseudo-word rhyming judgment tasks in the scanner. At session T2 participants completed visual word and pseudo-word rhyming judgement tasks in the scanner.

Funder

U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference53 articles.

1. Gross, J., Hudson, C. & Price, D. The long term costs of literacy difficulties: 2nd Edition. (Every Child a Chance Trust and KPMG, 2009).

2. Maxwell, J. & Teplova, T. Canada’s hidden deficit: The social cost of low literacy skills. (Canadian Language and Literacy Research Network, 2007).

3. Siegel, L. S. Perspectives on dyslexia. Paediatr. Child Healt. 11, 581–7 (2006).

4. Seidenberg, M. S. Connectionist models of word reading. Curr. Dir. Psychol. Sci. 14, 238–242 (2005).

5. Plaut, D. C., McClelland, J. L., Seidenberg, M. S. & Patterson, K. Understanding normal and impaired word reading: Computational principles in quasi regular domains. Psychol. Rev. 103, 56–115 (1996).

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