The Neuroimaging Core (Core B, NC) will provide expertise and support for acquisition and analysis of structural and functional Magnetic Resonance Imaging (sMRI/fMRI), functional Near-Infrared Spectroscopy (NIRS), and electroencephalography/event related potentials (EEG/ERP). By providing a centralized organizatlon for use of these techniques across multiple Projects, the NC will greatly increase efficiency of the Program as a whole by eliminating redundancy and providing common processing procedures and automation. Further, it will enable comparability across Projects and sites, by providing standardization in acquisition and analysis. The speciflc strengths of the Core Director and Invesflgators support each methodology: key personnel include experts Dr. Einar Mend, Core Director (structural and funcflonal MRI);Dr. Nicole Landi (EEG/ERP);and Heather Bortfeld (NIRS). Select consultants provide additional expertise: Dr. Robert Fulbright (neuroanatomy and medical review);Dr. Todd Constable (MR physics);and Dr. Ching-Po Lin (flbertract.imaging using DTI and DSI). Computaflonal resources are extensive, including multiple Linux and PC boxes, and a 40-core Mac Xgrid network running all necessary MR software packages and in-house developed Maflab programs. ERP and NIRS data processing are supported by dedicated Macintosh Pro computers. The NC will maintain wikis for communication and QC across sites, and provide local (weekly in person) and global (monthly via Skype) meetings for relevant staff and scientists. The NC will instantiate and maintain quality control and comparability of data acquisitions within each technique, across the multiple sites. As needed, NC staff will provide training of scientists and research associates across Projects in data acquisition and analysis. The NC will provide support for the proper design of experiments to take advantage of the particular strengths of each imaging modality. NC staff will preprocess and perform initial subject-level analysis for all MRI data collected at Haskins Laboratories, and provide support to Project scientists performing main across-subjects analyses for hypothesis testing. Finally, the NC staff will actively develop new techniques for acquisition and analysis to support the scientific goals of the Project.

Public Health Relevance

This program is relevant to the understanding the development of spoken and written language competence, which is crucial for successful academic and life outcomes. The Neuroimaging Core provides scientific expertise and computational support for MRI, EEG, and NIRS data acquisition and analysis, fostering synergy across Projects by providing efficiency, standardization, and quality control for all neuroimaging

National Institute of Health (NIH)
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Research Program Projects (P01)
Project #
Application #
Study Section
Special Emphasis Panel (ZHD1-DSR-H (52))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Haskins Laboratories, Inc.
New Haven
United States
Zip Code
Earle, F Sayako; Landi, Nicole; Myers, Emily B (2017) Sleep duration predicts behavioral and neural differences in adult speech sound learning. Neurosci Lett 636:77-82
Jasi?ska, Kaja K; Molfese, Peter J; Kornilov, Sergey A et al. (2017) The BDNF Val66Met polymorphism is associated with structural neuroanatomical differences in young children. Behav Brain Res 328:48-56
Li, Yu; Zhang, Linjun; Xia, Zhichao et al. (2017) The Relationship between Intrinsic Couplings of the Visual Word Form Area with Spoken Language Network and Reading Ability in Children and Adults. Front Hum Neurosci 11:327
Hancock, Roeland; Richlan, Fabio; Hoeft, Fumiko (2017) Possible roles for fronto-striatal circuits in reading disorder. Neurosci Biobehav Rev 72:243-260
Zhou, Hong; Li, Yu; Liang, Meng et al. (2017) Mandarin-Speaking Children's Speech Recognition: Developmental Changes in the Influences of Semantic Context and F0 Contours. Front Psychol 8:1090
Armstrong, Blair C; Frost, Ram; Christiansen, Morten H (2017) The long road of statistical learning research: past, present and future. Philos Trans R Soc Lond B Biol Sci 372:
Siegelman, Noam; Bogaerts, Louisa; Kronenfeld, Ofer et al. (2017) Redefining ""Learning"" in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities? Cogn Sci :
Olmstead, Annie J; Viswanathan, Navin (2017) Lexical exposure to native language dialects can improve non-native phonetic discrimination. Psychon Bull Rev :
van den Bunt, Mark R; Groen, Margriet A; Ito, Takayuki et al. (2017) Increased Response to Altered Auditory Feedback in Dyslexia: A Weaker Sensorimotor Magnet Implied in the Phonological Deficit. J Speech Lang Hear Res 60:654-667
Earle, F Sayako; Arthur, Dana T (2017) Native phonological processing abilities predict post-consolidation nonnative contrast learning in adults. J Acoust Soc Am 142:EL525

Showing the most recent 10 out of 435 publications