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Stephen Mark Smith, BMedSCi, MB BS PhD

Affiliations: 
Medicine Oregon Health and Science University, Portland, OR 
Area:
Calcium, GABA, NMDA channels
Website:
http://www.ohsu.edu/ohsuedu/academic/som/pmcb/faculty-profile.cfm?facultyid=339
Google:
"http://www.google.com/search?q=Stephen+Smith+OHSU&rls=com.microsoft:en-us&ie=UTF-8&oe=UTF-8&startIndex=&startPage=1"
Bio:

Stephen Smith received his Ph.D. in Neuroscience in 1987 and his medical degree in 1990 from the University of Newcastle upon Tyne, UK. Following a residency in internal medicine, he undertook fellowship training at the National Institute for Medical Research and Guy`s Hospital, London. This was followed by further clinical training in intensive care medicine at the Royal Prince Alfred and Royal North Shore Hospitals in Sydney, Australia. In 1996, Smith began working as a postdoctoral research fellow in the Department of Molecular and Cellular Physiology at Stanford University. He joined the faculty at OHSU as assistant professor in 2000. He is a member of the Divisions of Molecular Medicine and Pulmonary & Critical Care Medicine and Department of Physiology & Pharmacology. Dr. Smith trains graduate students through the Neuroscience Graduate Program (NGP) and the Physiology and Pharmacology Graduate Program.

Mean distance: 13.45 (cluster 40)
 
SNBCP

Children

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Mark T. Harnett research assistant 2001-2003 OHSU
Cecilia G. Phillips research assistant 2003-2005 OHSU
Glynis B. Mattheisen grad student OHSU
Nicholas Vyleta grad student OHSU

Collaborators

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Michael C. Andresen collaborator 2004- OHSU
BETA: Related publications

Publications

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Fitzgibbon SP, Harrison SJ, Jenkinson M, et al. (2020) The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. Neuroimage. 117303
Harrison SJ, Bijsterboch JD, Segerdahl AR, et al. (2020) Modelling Subject Variability in the Spatial and Temporal Characteristics of Functional Modes. Neuroimage. 117226
Tournier JD, Christiaens D, Hutter J, et al. (2020) A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging. Nmr in Biomedicine. e4348
Littlejohns TJ, Holliday J, Gibson LM, et al. (2020) The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions. Nature Communications. 11: 2624
Alnæs D, Kaufmann T, Marquand AF, et al. (2020) Patterns of sociocognitive stratification and perinatal risk in the child brain. Proceedings of the National Academy of Sciences of the United States of America
Autio JA, Glasser MF, Ose T, et al. (2020) Towards HCP-Style Macaque Connectomes: 24-Channel 3T Multi-Array Coil, MRI Sequences and Preprocessing. Neuroimage. 116800
Smith SM, Elliott LT, Alfaro-Almagro F, et al. (2020) Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations. Elife. 9
Pervaiz U, Vidaurre D, Woolrich MW, et al. (2020) Optimising network modelling methods for fMRI. Neuroimage. 116604
Li H, Smith SM, Gruber S, et al. (2019) Denoising scanner effects from multimodal MRI data using linked independent component analysis. Neuroimage. 116388
Bzdok D, Nichols TE, Smith SM. (2019) Towards Algorithmic Analytics for Large-scale Datasets. Nature Machine Intelligence. 1: 296-306
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