Reading Comprehension and Development

Spencer, M., Cho, S., & Cutting, L. E. (2018). Item response theory analyses of the Delis-Kaplan Executive Function System card sorting subtest. Child Neuropsychology, 1-19. DOI: https://doi.org/10.1080/09297049.2018.1433156

Landi, N. & Cutting, L. E. (2017). Global Approaches to Early Learning Research and Practice: Integrative Commentary. New Directions for Child and Adolescent Development, 2017 (158), 105-114. DOI: https://doi.org/10.1002/cad.20223

Aboud, K., Bailey, S., Petrill, S., & Cutting, L.E. (2016). Comprehending text versus reading words in young readers with varying reading ability: Distinct patterns of functional connectivity from common processing hubs. Developmental Science.

Miller, A.C., Davis, N., Gilbert, J.K., Cho, S.J., Toste, J.R., Street, J., & Cutting, L.E. (2014). Novel approaches to examine passage, student, and question effects on reading comprehension. Learning Disabilities Research and Practice, 29, 25-36.

Eason, S. H., Sabatini, J. P., Goldberg, L. F., Bruce, K. M., Cutting, L. E. (2013). Examining the relationship between word reading efficiency and oral reading rate in predicting comprehension among different types of readers. Scientific Studies of Reading, 17, 199-223.

Hart, S.A., Petrill, S.A., Willcutt, E., Thompson, L., Schatschneider, C., Deater-Deckard, K., Cutting, L.E. (2010). Exploring how symptoms of Attention-Deficit/Hyperactivity Disorder are related to reading and mathematics performance: General genes, general environments. Psychological Science, 21(11), 1708-1715.

Cutting L.E., Scarborough H.S. (2009). Prediction of Reading Comprehension: Relative Contributions of Word Recognition, Language Proficiency, and Other Cognitive Skills Can Depend on How Comprehension Is Measured. Scientific Studies of Reading, 10:3, 277-299.

Neuroimaging and Reading

Ding, Z., Huang, Y., Bailey, S. K., Gao, Y., Cutting, L. E., Rogers, B. P., Newton, A. T., & Gore, J. C. (2017). Detection of synchronous brain activity in white matter tracts at rest and under functional loading. PNAS, 115 (3), 595-600. DOI: https://doi.org/10.1073/pnas.1711567115

Wendelken, C., Ferrer, E., Ghetti, S., Bailey, S. K., Cutting, L., & Bunge, S. A. (2017). Frontoparietal Structural Connectivity in Childhood Predicts Development of Functional Connectivity and Reasoning Ability: A Large-Scale Longitudinal Investigation. Journal of Neuroscience, 37 (25), 8549 – 8558. DOI: https://doi.org/10.1523/JNEUROSCI.3726-16.2017

Wu, X., Yang, Z., Bailey, S. K., Zhou, J., Cutting, L. E., Gore, J. C., & Ding, Z. (2017). Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations. NeuroImage, 152, 371 – 380. DOI: https://doi.org/10.1016/j.neuroimage.2017.02.074

Bermudez, C., Huo, T., Plassard, A., Aboud, K. E., Cutting, L., & Landman, B. (2017). Prediction of chronological age from hierarchical brain volumes using a random forest progression can provide a personalized lifetime metric of aging. (P6.078). Neurology, 88 (16 Supplement).

Wilkey, E. D., Cutting, L. E., & Price, G. R. (2017). Neuroanatomical correlates of performance in a state-wide test of math achievement.  Developmental Science, 21 (2), DOI: https://doi.org/10.1111/desc.12545

Price, G. R., Yeo, D. J., Wilkey, E. D., & Cutting, L. E. (In Press). Prospective relations between resting-state connectivity of parietal subdivisions and arithmetic competence. Developmental Cognitive Neuroscience, DOI: https://doi.org/10.1016/j.dcn.2017.02.006

Huo Y., Aboud K., Kang H., Cutting L.E., Landman B.A. (2016) Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI. In: Ourselin S., Joskowicz L., Sabuncu M., Unal G., Wells W. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. MICCAI 2016.

. Ding, Z., Xu, R., Bailey, S.K., Wu, T., Morgan, V.L., Cutting, L.E., Anderson, A.W., & Gore, J.C. (2016). Visualizing Functional Pathways in the Human Brain Using Correlation Tensors and Magnetic Resonance Imaging. Magnetic Resonance Imaging, 34, 8-17. PMCID: PMC4714593.

Price, G.R., Wilkey, E.D., Yeo, D.J., & Cutting, L.E. (2016). The Relation between 1st Grade Grey Matter Volume and 2nd Grade Math Competence. Neuroimage, 1, 232-7. PMCID: PMC4651751.

Fan, Q., Anderson, A., Davis, N., & Cutting, L.E. (2014). Structural connectivity patterns associated with the putative visual word form area and children׳s reading ability. Brain Research, 1586, 118-29. PMCID: PMC4190016.

Fan, Q., Davis, N., Anderson, A., & Cutting, L.E. (2014). Thalamo-Cortical Connectivity: What Can Diffusion Tractography Tell Us about Reading Difficulties in Children? Brain Connectivity, 6, 428-39. PMCID: PMC4120642.

Barquero, L.A., Davis, N., & Cutting, L.E. (2014). Neuroimaging of Reading Intervention: A Systematic Review and Activation Likelihood Estimate Meta-Analysis. PLOS ONE, DOI: 10.1371/journal.pone.0083668.

Lauzon, C.B., Asman, A.J., Esparza, M.L., Burns, S.S., Fan, Q., Gao, Y., Anderson, A.W., Davis, N., Cutting, L.E., & Landman, B.A. (2013). Simultaneous Analysis and Quality Assurance for Diffusion Tensor Imaging, PloS one 8 (4), e61737.

Swett, K., Miller, A.C., Burns, S., Hoeft, F., Davis, N., Petrill, S.A., Cutting, L.E. (2013). Comprehending expository texts: The dynamic neurobiological correlates of building a coherent text representation. Frontiers in Human Neuroscience, 1-14. PMCID: PMC3860184.

Cutting, L.E., Clements-Stephens, A., Pugh, K.R., Burns, S., Cao, A., Pekar, J., Davis, N., & Rimrodt, S.L. (2013). Not All Reading Disabilities are Dyslexia: Distinct Neurobiology of Specific Comprehension Deficits. Brain Connectivity, 3, 199-213.

Dyslexia and Reading Intervention

Aboud, K. S., Barquero, L. A., & Cutting, L. E. (2018). Prefrontal mediation of the reading network predicts intervention response in dyslexia. Cortex, 101, 96-106. DOI: https://doi.org/10.1016/j.cortex.2018.01.009

Bailey, S., Aboud, K., Hoeft, F., & Cutting, L.E. (2016). Anomalous Gray Matter Patterns in Specific Reading Comprehension Deficits are Independent of Dyslexia. Annals of Dyslexia. PMCID in progress.

Barquero, L.A., Davis, N., & Cutting, L.E. (2014). Neuroimaging of Reading Intervention: A Systematic Review and Activation Likelihood Estimate Meta-Analysis. PLOS ONE, DOI: 10.1371/journal.pone.0083668.

Cutting, L.E., Clements-Stephens, A., Pugh, K.R., Burns, S., Cao, A., Pekar, J., Davis, N., & Rimrodt, S.L. (2013). Not All Reading Disabilities are Dyslexia: Distinct Neurobiology of Specific Comprehension Deficits. Brain Connectivity, 3, 199-213.

S.L. Rimrodt, A.M. Clements-Stephens, K.R. Pugh, S.M. Courtney, P. Gaur, J.J. Pekar, L.E. Cutting (2009). Functional MRI of Sentence Comprehension in Children with Dyslexia: Beyond Word Recognition. Cereb Cortex; 19 (2): 402-413. doi: 10.1093/cercor/bhn092

Behavioral Genetics

Soden, B., Christopher, M. E., Hulslander, J., Olson, R. K., Cutting, L., Keenan, J. M., Thompson, L. A., Wadsworth, S. J., Willcutt, E. G., & Petrill, S. A. (2015). Longitudinal stability in reading comprehension is largely heritable from grades 1 to 6. PLOSOne. DOI:10.1371/journal.pone.0113807.

Logan, J. A. R., Hart, S. A., Cutting, L., Deater-Deckard, K., Schatschneider, C., Thompson, L. A., & Petrill, S. A. (2013). Genetic and Environmental Etiology of Latent Quadratic Growth in Reading Skills. Child Development, 84, 2131-44. PMCID: PMC3773299.

Scarborough, H. S., Sabatini, J. P., Shore, J., Cutting, L. E., Pugh, K. R., & Katz, L. (2013). Meaningful gains by adult literacy learners. Reading and Writing: An Interdisciplinary Journal, 26, 593-613.

Neurofibromatosis Type 1 (NF-1)

Barquero, L., Sefcik, A., Cutting, L.E., & Rimrodt, S. (2015). Teaching Reading to Children with Neurofibromatosis Type 1: A Clinical Trial with random Assignment to Different Approaches. Developmental Medicine & Child Neurology, 57 (12), 1150-1158. PMCID: PMC4618264.

Acosta, M. T., Bearden, C. E., Castellanos, X. F., Cutting, L., Elgersma, Y., Gioia, G., Gutmann, D. H., Lee, Y. S., Legius, E., Muenke, M., North, K., Parada, L. F., Ratner, N., Hunter-Schaedle, K., Silva, A.J. (2012). The Learning Disabilities Network (LeaDNet): Using neurofibromatosis type 1 (NF1) as a paradigm for translational research. American Journal of Medical Genetics, 158A, 9, 2225–2232.