Allen Newton, Ph.D.Research Assistant Professor of Radiology and Radiological Sciences
I am interested in the development of new fMRI methods including advances in both image acquisition and image analysis. I am particularly interested in methods involving imaging at ultra high field (7T).
Currently, I have several parallel research paths I am pursuing. First, I am developing methods for pushing the spatial resolution of whole brain fMRI data. The goal of this project is to obtain images with the highest possible isotropic spatial resolution while minimizing geometric distortions of the images and maintaining reasonable temporal resolution. Second, I am developing methods for similarly pushing the temporal resolution of fMRI data while maintaining spatial resolutions similar to those typically used at lower field strengths. These acquisitions will be used for measuring cognitive latencies and validating methods for removing physiological noise.
Modulation of steady state functional connectivity in the default mode and working memory networks by cognitive load. Newton AT, Morgan VL, Rogers BP, Gore JC. Hum Brain Mapp. 2010 Nov 12. [Epub ahead of print]
Integrating functional and diffusion magnetic resonance imaging for analysis of structure-function relationship in the human language network. Morgan VL, Mishra A, Newton AT, Gore JC, Ding Z. PLoS One. 2009 Aug 17;4(8):e6660.
Assessing functional connectivity in the human brain by fMRI. Rogers BP, Morgan VL, Newton AT, Gore JC. Magn Reson Imaging. 2007 Dec;25(10):1347-57. Epub 2007 May 11. Review.
Task demand modulation of steady-state functional connectivity to primary motor cortex. Newton AT, Morgan VL, Gore JC. Hum Brain Mapp. 2007 Jul;28(7):663-72.
A technique for producing ordered arrays of metallic nanoclusters by electroless deposition in focused ion beam patterns Weller RA, Ryle WT, Newton AT, McMahon MD, Miller TM, Magruder RH IEEE TRANS. ON NANOTECHNOLOGY. 2003 Sep; 2(3):154-157.