Contemporary research in neuroimaging and neuroscience depends heavily on technical quantitative expertise in the areas of study design, statistical modeling and inference, and computation. The inclusion of a Design and Analysis Core is motivated by the need to provide access to COBRE investigators, and the neuroimaging research community at Brown, to the diverse set of tools and expertise required to conduct work in this area. Having a core with faculty and staff from the fields of statistics, neuroscience and physics will obviate or minimize the need for COBRE project leaders to seek these resources on their own. The primary mission of the DAC will be collaboration with COBRE investigators on issues related to design, analysis, and computing. We will work with investigators on standard aspects of design and analysis, and provide access to technical staff needed for acquiring and formatting image data, using computer clusters, implementing data analyses on various software platforms, and archiving project data (including image data) on servers. Several projects will demand development of new methodology, and the faculty configuration of the core is designed to respond to those demands and indeed to generate synergy in methods development. The core will coordinate and facilitate access to computational resources available to investigators. These resources include hardware (e.g., computing clusters, data archiving platforms), software (specialized programs such as AFNI, SPM, Brain Voyager;more general tools such as Matlab and R, and tools developed at Brown for visualization and analysis), and technical personnel with expertise in programming and software operation. The core will organize a regular working group and seminar series, providing a venue for the active exchange of ideas on design, statistical analysis and methodology, computation, software, and related issues between neuroimaging researchers both within and outside of Brown.

Public Health Relevance

Contemporary neuroscience research requires synthesis and integration of information drawn from brain images, characteristics of genomic sequences, and phenotypic measure, accomplished by using mathematical and statistical models implemented on high-end computing systems. This core provides expertise and infrastructure needed to meet the complex analytic requirements of each research project.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Exploratory Grants (P20)
Project #
Application #
Study Section
Special Emphasis Panel (ZGM1-TWD-B (CB))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Brown University
United States
Zip Code
Luo, X; Gee, S; Sohal, V et al. (2016) A point-process response model for spike trains from single neurons in neural circuits under optogenetic stimulation. Stat Med 35:455-74
Im, Hee Yeon; Bédard, Patrick; Song, Joo-Hyun (2016) Long lasting attentional-context dependent visuomotor memory. J Exp Psychol Hum Percept Perform 42:1269-74
Moher, Jeff; Song, Joo-Hyun (2016) Target selection biases from recent experience transfer across effectors. Atten Percept Psychophys 78:415-26
McCarthy, J Daniel; Song, Joo-Hyun (2016) Global attention facilitates the planning, but not execution of goal-directed reaches. J Vis 16:7
Erb, Christopher D; Moher, Jeff; Sobel, David M et al. (2016) Reach tracking reveals dissociable processes underlying cognitive control. Cognition 152:114-26
Markant, Julie; Ackerman, Laura K; Nussenbaum, Kate et al. (2016) Selective attention neutralizes the adverse effects of low socioeconomic status on memory in 9-month-old infants. Dev Cogn Neurosci 18:26-33
Markant, Julie; Amso, Dima (2016) The Development of Selective Attention Orienting is an Agent of Change in Learning and Memory Efficacy. Infancy 21:154-176
Nussenbaum, Kate; Amso, Dima (2016) An Attentional Goldilocks Effect: An Optimal Amount of Social Interactivity Promotes Word Learning from Video. J Cogn Dev 17:30-40
Markant, Julie; Oakes, Lisa M; Amso, Dima (2016) Visual selective attention biases contribute to the other-race effect among 9-month-old infants. Dev Psychobiol 58:355-65
Salminen, Lauren E; Schofield, Peter R; Pierce, Kerrie D et al. (2016) Neuromarkers of the common angiotensinogen polymorphism in healthy older adults: A comprehensive assessment of white matter integrity and cognition. Behav Brain Res 296:85-93

Showing the most recent 10 out of 39 publications