This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Many patients with epilepsy have normal brain MRI with current imaging protocols. This research protocol will address questions of whether 7 T MRI can detect lesions in epilepsy patients whose 3 T MRI was normal, and whether lesions detected with 3 T MRI will be shown to be more extensive or otherwise be better characterized with 7 T MRI. Hypothesis 1: In an epilepsy sub-group with normal cerebral 3 T MRI, cerebral structural abnormalities can be detected with 7 T MRI. Hypothesis 2: In an epilepsy sub-group with cerebral lesions on 3 T MRI, additional relevant strucutral information concerning the lesions will be provided with 7 T imaging. Hypothesis 3: In both epilepsy sub-groups (those with and without cerebral lesions on 3 T MRI), fiber tracts of the limbic system ipsilateral to the ictal onset zone will be reduced in volume compared with those of the healthy adult subjects. We will acquire structural brain MRI and DTI data with the 7 T unit of the CMRR in 10 healthy volunteers and in 20 patients with fully diagnosed, symptomatic epilepsy (who in 10 cases have normal cerebral 3 T MRI and in 10 cases have cerebral lesions on 3 T MRI), and analyze these data qualitatively and volumetrically. We will develop 7 T MRI acquisition and analysis software and protocols, and estimate 7 T MRI sensitivity and specificity in detecting cerebral gray and white matter abnormalities, so as to plan future definitive testing of Hypotheses 1-3 in a larger study

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR008079-19
Application #
8362837
Study Section
Special Emphasis Panel (ZRG1-SBIB-S (40))
Project Start
2011-06-01
Project End
2012-05-31
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
19
Fiscal Year
2011
Total Cost
$30,257
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
U?urbil, Kamil (2018) Imaging at ultrahigh magnetic fields: History, challenges, and solutions. Neuroimage 168:7-32
Foell, Jens; Palumbo, Isabella M; Yancey, James R et al. (2018) Biobehavioral threat sensitivity and amygdala volume: A twin neuroimaging study. Neuroimage 186:14-21
Magnitsky, Sergey; Pickup, Stephan; Garwood, Michael et al. (2018) Imaging of a high concentration of iron labeled cells with positive contrast in a rat knee. Magn Reson Med :
Lee, Byeong-Yeul; Zhu, Xiao-Hong; Woo, Myung Kyun et al. (2018) Interleaved 31 P MRS imaging of human frontal and occipital lobes using dual RF coils in combination with single-channel transmitter-receiver and dynamic B0 shimming. NMR Biomed 31:
Wilson, Sylia; Malone, Stephen M; Hunt, Ruskin H et al. (2018) Problematic alcohol use and hippocampal volume in a female sample: disentangling cause from consequence using a co-twin control study design. Psychol Med 48:1673-1684
Herzberg, Max P; Hodel, Amanda S; Cowell, Raquel A et al. (2018) Risk taking, decision-making, and brain volume in youth adopted internationally from institutional care. Neuropsychologia 119:262-270
Bolan, Patrick J; Kim, Eunhee; Herman, Benjamin A et al. (2017) MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial. J Magn Reson Imaging 46:290-302
Nelson, Brent G; Bassett, Danielle S; Camchong, Jazmin et al. (2017) Comparison of large-scale human brain functional and anatomical networks in schizophrenia. Neuroimage Clin 15:439-448
Lyzinski, Vince; Fishkind, Donniell E; Fiori, Marcelo et al. (2016) Graph Matching: Relax at Your Own Risk. IEEE Trans Pattern Anal Mach Intell 38:60-73
Ugurbil, Kamil (2016) What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging. Philos Trans R Soc Lond B Biol Sci 371:

Showing the most recent 10 out of 493 publications