Dyslexia (specific reading and writing disability) and dysgraphia (specific spelling disability only) compromise quality of life during childhood and adulthood if not diagnosed and treated at appropriate developmental stages. Better understanding of the etiology of these disorders may lead to better diagnosis, treatment, and prevention of mental health problems. The broad aims of Project IV are therefore to (a) understand the neural substrates differentiating dyslexia, dysgraphia, and normal reading and spelling; (b) investigate how these neural substrates may or may not change as a function of specific kinds of treatment for dyslexia and/or dysgraphia and passage of time for normal reading and spelling controls imaged at the same time as for dyslexics / dysgraphics; (c) evaluate whether previous fMRS (PEPSI) and fMRI findings are reproducible; and (d) examine interrelationships among multiple levels of neurological analyses (neuroanatomical, connectivity) and linguistic (cognitive/behavioral), and identify the most likely genetic candidates among the various neurological measures studied. To achieve these aims, Project IV (Brain Imaging) will work closely with Project I (Treatment) and Project III (Family Genetics) in the University of Washington Multidisciplinary Learning Disability Center. The purpose of this supplement is to release funds for Years -09 and -10 of Project IV so that the first three aims (see above) can be completed and the last aim can commence.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Specialized Center (P50)
Project #
3P50HD033812-09S1
Application #
6557727
Study Section
Pediatrics Subcommittee (CHHD)
Program Officer
Mccardle, Peggy D
Project Start
1996-12-01
Project End
2005-11-30
Budget Start
2003-12-01
Budget End
2004-11-30
Support Year
9
Fiscal Year
2004
Total Cost
$458,000
Indirect Cost
Name
University of Washington
Department
Psychology
Type
Schools of Education
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Nielsen, Kathleen; Abbott, Robert; Griffin, Whitney et al. (2016) Evidence-Based Reading and Writing Assessment for Dyslexia in Adolescents and Young Adults. Learn Disabil (Pittsbg) 21:38-56
Abbott, Robert D; Fayol, Michel; Zorman, Michel et al. (2016) Relationships of French and English Morphophonemic Orthographies to Word Reading, Spelling, and Reading Comprehension during Early and Middle Childhood. Can J Sch Psychol 31:305-321
Rubenstein, Kevin B; Raskind, Wendy H; Berninger, Virginia W et al. (2014) Genome scan for cognitive trait loci of dyslexia: Rapid naming and rapid switching of letters, numbers, and colors. Am J Med Genet B Neuropsychiatr Genet 165B:345-56
Berninger, Virginia W; Abbott, Robert D (2013) Differences between Children with Dyslexia Who Are and Are Not Gifted in Verbal Reasoning. Gift Child Q 57:
Peter, Beate; Matsushita, Mark; Raskind, Wendy H (2011) Global processing speed in children with low reading ability and in children and adults with typical reading ability: exploratory factor analytic models. J Speech Lang Hear Res 54:885-99
Berninger, Virginia; Richards, Todd (2010) Inter-relationships among behavioral markers, genes, brain and treatment in dyslexia and dysgraphia. Future Neurol 5:597-617
Richards, Todd L; Berninger, Virginia W; Stock, Pat et al. (2009) Functional magnetic resonance imaging sequential-finger movement activation differentiating good and poor writers. J Clin Exp Neuropsychol 31:967-83
Richards, Todd L; Berninger, Virginia W (2008) Abnormal fMRI Connectivity in Children with Dyslexia During a Phoneme Task: Before But Not After Treatment 1. J Neurolinguistics 21:294-304
Berninger, Virginia W; Nielsen, Kathleen H; Abbott, Robert D et al. (2008) Writing problems in developmental dyslexia: under-recognized and under-treated. J Sch Psychol 46:1-21
Igo Jr, Robert P; Wijsman, Ellen M (2008) Empirical significance values for linkage analysis: trait simulation using posterior model distributions from MCMC oligogenic segregation analysis. Genet Epidemiol 32:119-31

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