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1
Brain basis of cognitive resilience: Prefrontal cortex predicts better reading comprehension in relation to decoding.
In: PloS one, vol 13, iss 6 (2018)
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2
Neurobiological Bases of Reading Disorder Part II: The Importance of Developmental Considerations in Typical and Atypical Reading
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3
Neuroimaging correlates of handwriting quality as children learn to read and write.
Gimenez, Paul; Bugescu, Nicolle; Black, Jessica M. - : eScholarship, University of California, 2014
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4
Neuroimaging correlates of handwriting quality as children learn to read and write.
Gimenez, Paul; Bugescu, Nicolle; Black, Jessica M. - : eScholarship, University of California, 2014
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5
White matter morphometric changes uniquely predict children's reading acquisition.
In: Psychological science, vol 25, iss 10 (2014)
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6
Functional neuroanatomical evidence for the double-deficit hypothesis of developmental dyslexia.
Norton, Elizabeth S; Black, Jessica M; Stanley, Leanne M. - : eScholarship, University of California, 2014
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7
Functional neuroanatomical evidence for the double-deficit hypothesis of developmental dyslexia
In: Elsevier (2014)
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8
Structural changes in white matter are uniquely related to children’s reading development
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9
Neuroimaging correlates of handwriting quality as children learn to read and write
Gimenez, Paul; Bugescu, Nicolle; Black, Jessica M.. - : Frontiers Media S.A., 2014
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10
The Brain Basis of the Phonological Deficit in Dyslexia is Independent of IQ
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11
Neural Systems Predicting Long-Term Outcome in Dyslexia
In: PNAS (2010)
Abstract: Individuals with developmental dyslexia vary in their ability to improve reading skills, but the brain basis for improvement remains largely unknown. We performed a prospective, longitudinal study over 2.5 y in children with dyslexia (n = 25) or without dyslexia (n = 20) to discover whether initial behavioral or brain measures, including functional MRI (fMRI) and diffusion tensor imaging (DTI), can predict future long-term reading gains in dyslexia. No behavioral measure, including widely used and standardized reading and language tests, reliably predicted future reading gains in dyslexia. Greater right prefrontal activation during a reading task that demanded phonological awareness and right superior longitudinal fasciculus (including arcuate fasciculus) white-matter organization significantly predicted future reading gains in dyslexia. Multivariate pattern analysis (MVPA) of these two brain measures, using linear support vector machine (SVM) and cross-validation, predicted significantly above chance (72% accuracy) which particular child would or would not improve reading skills (behavioral measures were at chance). MVPA of whole-brain activation pattern during phonological processing predicted which children with dyslexia would improve reading skills 2.5 y later with >90% accuracy. These findings identify right prefrontal brain mechanisms that may be critical for reading improvement in dyslexia and that may differ from typical reading development. Brain measures that predict future behavioral outcomes (neuroprognosis) may be more accurate, in some cases, than available behavioral measures. ; Eunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (Grant HD054720) ; Lucile Packard Children’s Hospital at Stanford (Child Health Research Program) ; National Center for Research Resources (U.S.) (Grant P41RR009874) ; William & Flora Hewlett Foundation ; Richard King Mellon Foundation
URL: http://hdl.handle.net/1721.1/69912
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12
Neural systems predicting long-term outcome in dyslexia
Hoeft, Fumiko; McCandliss, Bruce D.; Black, Jessica M.. - : National Academy of Sciences, 2010
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