The Neuroimaging Core develops and implements state-of-the-art functional and structural brain imaging techniques for use by ADRC and other investigators pursuing AD-related brain imaging projects at USC and neighboring Institutes, to educate these investigators on the potential of structural/functional brain imaging, and to facilitate use of imaging resources at USC for AD and related projects.
The specific aims are to: (1) Provide technical support to investigators to conduct functonal MRI (fMRI) or diffusion tensor imaging (DTI) pilots and other imaging studies for testing their hypotheses in AD and related areas, including technical support to Project 1 """"""""Diffusion tensor tractography in AD and SVD"""""""" (2) Develop techniques to improve methodology for structural/functional neuroimaging including functional fMRI, functional connectivity, DTI-based white-matter tractography, and MRI volumetric measurements. Implement fMRI protocols on MRI systems at USC University Hospital, USC Imaging Science Center, and Rancho Los Amigos. Conduct pilot studies to validate technological developments. (3) Continue to refine methodology to combine fMRI with electroencephalography (EEG and magneto-encephalography (MEG) to enable fundamental improvements in the spatiotemporal resolution of functional brain imaging, and (4) Archive MRIs acquired for Projects 1, 2, and the Clinical Core. The core has developed key technology in IMRI, functional connectivity, EEG source localization, DTI-tractography and quantification of tractography based connectivity. During the past five years, the core supported approximately 20 projects including several RO 1s and pilots through design of preliminary fMRI studies and actually performing pilot experiments for these projects. In the proposed period, the core will support Project 1 (Diffusion tensor tractography AD and SVD) by providing data and image processing resources, and by adapting core-developed DTI and volumetric analysis methodology. The Core will also archive MRI data for the Clinical Core, Satellite, Project 1, and Project 2.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005142-25
Application #
7614299
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2008-04-01
Budget End
2009-03-31
Support Year
25
Fiscal Year
2008
Total Cost
$230,000
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Gallagher, Damien; Kiss, Alex; Lanctot, Krista L et al. (2018) Toward Prevention of Mild Cognitive Impairment in Older Adults With Depression: An Observational Study of Potentially Modifiable Risk Factors. J Clin Psychiatry 80:
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Weissberger, Gali H; Nation, Daniel A; Nguyen, Caroline P et al. (2018) Meta-analysis of cognitive ability differences by apolipoprotein e genotype in young humans. Neurosci Biobehav Rev 94:49-58
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307
Barnes, Josephine; Bartlett, Jonathan W; Wolk, David A et al. (2018) Disease Course Varies According to Age and Symptom Length in Alzheimer's Disease. J Alzheimers Dis 64:631-642
Wang, Junyan; Aydogan, Dogu Baran; Varma, Rohit et al. (2018) Modeling topographic regularity in structural brain connectivity with application to tractogram filtering. Neuroimage 183:87-98
Joe, Elizabeth; Medina, Luis D; Ringman, John M et al. (2018) 1H MRS spectroscopy in preclinical autosomal dominant Alzheimer disease. Brain Imaging Behav :
Aydogan, Dogu Baran; Shi, Yonggang (2018) Tracking and validation techniques for topographically organized tractography. Neuroimage 181:64-84
Burke, Shanna L; Maramaldi, Peter; Cadet, Tamara et al. (2018) Decreasing hazards of Alzheimer's disease with the use of antidepressants: mitigating the risk of depression and apolipoprotein E. Int J Geriatr Psychiatry 33:200-211
Weintraub, Sandra; Besser, Lilah; Dodge, Hiroko H et al. (2018) Version 3 of the Alzheimer Disease Centers' Neuropsychological Test Battery in the Uniform Data Set (UDS). Alzheimer Dis Assoc Disord 32:10-17

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