Despite the maturing of the methodology of functional magnetic resonance imaging (fMRI) based on the endogenous blood oxygenation level dependent (BOLD) contrast, advances are still being made in a number of aspects, furthering the application and utility of fMRI. This proposal is a competitive renewal of a currently funded project, in which we focused our research on methodological issues in event-related fMRI and characterization of the BOLD response, particularly at very high magnetic fields, along with applications to studying brain cognition. Our effort has resulted in a number of new techniques for data acquisition and analysis, a further understanding of the BOLD response and a contribution to the understanding of brain cognition. In this renewal, we propose to further enhance BOLD based functional imaging by developing new imaging techniques. Furthermore, because recent work has illustrated the feasibility and utility of detecting brain connectivity and the potential of combining connectivity measures with fMRI, we will investigate methods for detecting brain connectivity and combining these measures with BOLD imaging. With this in mind, the first 2 specific aims of this application will focus on the development of approaches for improved BOLD imaging and the development of new methods for measuring anatomic and functional connectivity. Along with these methodological developments, we will demonstrate the utility of these functional and connectivity measures by applying them to study the disruption of language related brain network in autism. The accomplishment of these aims will lead to methodological advances, better characterization of connectivity measures, and better understanding of neurobiological basis of autism and fetal alcohol syndrome. We believe the proposed work is both innovative and scientifically significant.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB002009-12
Application #
7214067
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Mclaughlin, Alan Charles
Project Start
1996-09-01
Project End
2009-03-31
Budget Start
2007-04-01
Budget End
2008-03-31
Support Year
12
Fiscal Year
2007
Total Cost
$402,909
Indirect Cost
Name
Emory University
Department
Biomedical Engineering
Type
Schools of Medicine
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Chang, Jean-Yun; Lee, Ming-Hui; Lin, Sing-Ru et al. (2015) Trafficking protein particle complex 6A delta (TRAPPC6A?) is an extracellular plaque-forming protein in the brain. Oncotarget 6:3578-89
He, Xiao-Song; Wang, Zhao-Xin; Zhu, You-Zhi et al. (2015) Hyperactivation of working memory-related brain circuits in newly diagnosed middle-aged type 2 diabetics. Acta Diabetol 52:133-42
Gao, Hao; Li, Longchuan; Zhang, Kai et al. (2014) PCLR: phase-constrained low-rank model for compressive diffusion-weighted MRI. Magn Reson Med 72:1330-1341
Shin, Jaemin; Ahn, Sinyeob; Hu, Xiaoping (2013) Correction for the T1 effect incorporating flip angle estimated by Kalman filter in cardiac-gated functional MRI. Magn Reson Med 70:1626-33
Nair, Govind; Hu, Xiaoping P (2012) Manifestation and post hoc correction of gradient cross-term artifacts in DTI. Magn Reson Imaging 30:764-73
Ahn, Sinyeob; Hu, Xiaoping P (2012) View angle tilting echo planar imaging for distortion correction. Magn Reson Med 68:1211-9
Craddock, R Cameron; James, G Andrew; Holtzheimer 3rd, Paul E et al. (2012) A whole brain fMRI atlas generated via spatially constrained spectral clustering. Hum Brain Mapp 33:1914-28
Poplawsky, Alexander J; Dingledine, Raymond; Hu, Xiaoping P (2012) Direct detection of a single evoked action potential with MRS in Lumbricus terrestris. NMR Biomed 25:123-30
Feinberg, David A; Yacoub, Essa (2012) The rapid development of high speed, resolution and precision in fMRI. Neuroimage 62:720-5
Yang, Zhi; Zuo, Xi-Nian; Wang, Peipei et al. (2012) Generalized RAICAR: discover homogeneous subject (sub)groups by reproducibility of their intrinsic connectivity networks. Neuroimage 63:403-14

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