? Brain imaging methods such as functional magnetic resonance imaging (fMRI), magnetic source imaging (MSI) and diffusion tensor imaging (DTI) are rapidly evolving as essential tools for assaying normal and abnormal brain function. The overall goal of this research is to enhance our understanding of the relationship between the signals measured using these imaging techniques and the underlying neural activity. We propose to conduct a series of experiments in anesthetized macaque monkeys to examine the correlation between functional brain imaging signals, specifically the BOLD signals of fMRI, the modeled current sources of MSI, and the imaging of white-matter tracts with DTI, with """"""""gold standard"""""""" single and multi-unit electrophysiological recordings, and neuroanatomical tracing techniques.
The specific aims are 1) To measure the stimulus evoked changes in magnitude, location and timing of functional brain imaging signals and relate them to changes in underlying neural activity, 2) To correlate non-invasive anatomic connectivity measures derived from tractography of DTI with connectivity derived using neuroanatomical techniques, and 3) To compare measures of functional connectivity based on the covariance of fMRI and MSI time-series with anatomic connectivity derived from DTI and neuroanatomic studies. These experiments represent a unique collaborative effort to combine several techniques in the same animal to generate a better understanding of the ability of modem imaging techniques to track changes in the nervous system under varying stimulus conditions and to uncover the circuitry necessary for complex sensory abilities. Our efforts are among the first to bridge the gap between imaging, neurophysiology and anatomy, an essential step in relating the wealth of electrophysiological recording data from macaque monkeys to the human cortex, and in understanding complex functions such as the sensory integration necessary for cognitive processes like object recognition and language. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS044590-03
Application #
6891466
Study Section
Diagnostic Radiology Study Section (RNM)
Program Officer
Babcock, Debra J
Project Start
2003-05-15
Project End
2008-04-30
Budget Start
2005-05-01
Budget End
2006-04-30
Support Year
3
Fiscal Year
2005
Total Cost
$475,464
Indirect Cost
Name
University of California Davis
Department
Neurology
Type
Schools of Medicine
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Westlake, Kelly P; Hinkley, Leighton B; Bucci, Monica et al. (2012) Resting state ?-band functional connectivity and recovery after stroke. Exp Neurol 237:160-9
Hinkley, Leighton B N; Nagarajan, Srikantan S; Dalal, Sarang S et al. (2011) Cortical temporal dynamics of visually guided behavior. Cereb Cortex 21:519-29
Zumer, Johanna M; Nagarajan, Srikantan S; Krubitzer, Leah A et al. (2010) MEG in the macaque monkey and human: distinguishing cortical fields in space and time. Brain Res 1345:110-24
Zhu, Zhao; Zumer, Johanna M; Lowenthal, Marianne E et al. (2009) The relationship between magnetic and electrophysiological responses to complex tactile stimuli. BMC Neurosci 10:4
Hinkley, Leighton B N; Krubitzer, Leah A; Padberg, Jeff et al. (2009) Visual-manual exploration and posterior parietal cortex in humans. J Neurophysiol 102:3433-46
Zhu, Zhao; Disbrow, Elizabeth A; Zumer, Johanna M et al. (2007) Spatiotemporal integration of tactile information in human somatosensory cortex. BMC Neurosci 8:21
Hinkley, Leighton B; Krubitzer, Leah A; Nagarajan, Srikantan S et al. (2007) Sensorimotor integration in S2, PV, and parietal rostroventral areas of the human sylvian fissure. J Neurophysiol 97:1288-97
Kirsch, Heidi E; Zhu, Zhao; Honma, Susanne et al. (2007) Predicting the location of mouth motor cortex in patients with brain tumors by using somatosensory evoked field measurements. J Neurosurg 107:481-7
Zumer, Johanna M; Attias, Hagai T; Sekihara, Kensuke et al. (2007) A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data. Neuroimage 37:102-15
Krubitzer, Leah; Huffman, Kelly J; Disbrow, Elizabeth et al. (2004) Organization of area 3a in macaque monkeys: contributions to the cortical phenotype. J Comp Neurol 471:97-111

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