The main objective of this proposal is to improve the fidelity of fMRI localization to sites of neuronal activities. Two pre-requisites for achieving such an objective are uniform spatial coverage of relevant brain structures and accurate spatial localization of specific functional regions. Thus, we will develop improved acquisition methods that can ensure uniform spatial coverage in the presence of aggravated susceptibility artifacts at brain regions near air/tissue/bone interface and at high magnetic fields (e.g. 4T). We will also develop improved acquisition methods using dynamic apparent diffusion coefficient (ADC) contrast to achieve accurate spatial localization of the functional signal to the capillary networks that are closely tied to the neuronal activities. To this end, we propose three specific aims: First, improved acquisition methodology at high magnetic fields for uniform coverage and minimal distortion without the spatial confound of susceptibility artifacts will be developed and validated. Such method is especially needed at ventral brain regions where static susceptibility effects are pronounced. Second, improved acquisition methods with high temporal and spatial resolution will be developed to singularly detect synchronized ADC changes in capillary networks for close spatial coupling to the neuronal activities. Such signal changes will be compared with those obtained from the traditional blood oxygenation level dependent (BOLD) and cerebral blood flow (CBF) weighted contrasts to assess the improved spatial localization, using controlled visual activation paradigms. Third, using activated regions from the invasive intra-cranial electrical grid recordings during face and object recognition tasks as a standard, further validation of the localization ability of the susceptibility-compensated dynamic ADC contrast (optimized in the first two aims) in the ventral and middle temporal brain areas will be carried out using the same activation tasks. In parallel, the activated brain regions will also be used as seed points to initiate a diffusion tensor imaging (DTI) based nerve fiber tracking process to non-invasively validate their neuronal origins, based upon the knowledge that areas closely tied to the functioning neuronal populations are well connected by neural pathways. Together these three specific aims will help achieve the ultimate goal of neuroimaging for reliable, accurate and efficient localization of the neuronal activities, creating a comprehensive platform for assessing brain anatomy, function and neural pathways. It is anticipated that successful completion of the current research project will greatly improve the spatial specificity of the functional localization, effectively bridging the gap between neuroanatomy and neuroimaging.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS050329-03
Application #
7027733
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Chen, Daofen
Project Start
2004-05-15
Project End
2008-02-28
Budget Start
2006-03-01
Budget End
2007-02-28
Support Year
3
Fiscal Year
2006
Total Cost
$278,206
Indirect Cost
Name
Duke University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Chen, Nan-Kuei; Avram, Alexandru V; Song, Allen W (2011) Two-dimensional phase cycled reconstruction for inherent correction of echo-planar imaging Nyquist artifacts. Magn Reson Med 66:1057-66
Truong, Trong-Kha; Chen, Nan-Kuei; Song, Allen W (2010) Application of k-space energy spectrum analysis for inherent and dynamic B0 mapping and deblurring in spiral imaging. Magn Reson Med 64:1121-7
Hayes, Scott M; Baena, Elsa; Truong, Trong-Kha et al. (2010) Neural mechanisms of context effects on face recognition: automatic binding and context shift decrements. J Cogn Neurosci 22:2541-54
Truong, Trong-Kha; Song, Allen W (2009) Cortical depth dependence and implications on the neuronal specificity of the functional apparent diffusion coefficient contrast. Neuroimage 47:65-8
Chen, Nan-kuei; Chou, Ying-hui; Song, Allen W et al. (2009) Measurement of spontaneous signal fluctuations in fMRI: adult age differences in intrinsic functional connectivity. Brain Struct Funct 213:571-85
Song, Allen W; Truong, Trong-Kha; Woldorff, Marty (2009) Dynamic MRI of small electrical activity. Methods Mol Biol 489:297-315
Venkatraman, Talaignair N; Krishnan, Ranga R; Steffens, David C et al. (2009) Biochemical abnormalities of the medial temporal lobe and medial prefrontal cortex in late-life depression. Psychiatry Res 172:49-54
Madden, David J; Bennett, Ilana J; Song, Allen W (2009) Cerebral white matter integrity and cognitive aging: contributions from diffusion tensor imaging. Neuropsychol Rev 19:415-35
Truong, Trong-Kha; Chen, Bin; Song, Allen W (2008) Integrated SENSE DTI with correction of susceptibility- and eddy current-induced geometric distortions. Neuroimage 40:53-8
Chen, Bin; Song, Allen W (2008) Diffusion tensor imaging fiber tracking with local tissue property sensitivity: phantom and in vivo validation. Magn Reson Imaging 26:103-8

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