This project aims to use advanced in-vivo optical imaging and microscopy techniques to study blood flow variations in the resting brain, and the meaning of synchronizations in blood flow fluctuations in different brain regions. Functional connectivity mapping (FCM) is an increasingly popular tool in functional magnetic resonance imaging (fMRI), which harnesses synchronous fluctuations in blood flow throughout the resting brain to infer connectivity between different regions. FCM is widely thought to capture a fundamental property of the brain's networks, and is rapidly being adopted for studies of complex conditions such as autism, Alzheimer's, depression and schizophrenia. However, while FCM is increasingly being applied in preference to traditional stimulation-based fMRI studies, very little is understood about the mechanisms causing the fluctuations in cerebral blood, nor the underlying meaning of hemodynamic synchrony in different brain areas. In fact, there is mounting evidence that baseline fluctuations in blood flow have a range of origins that may not all be related to the presence of neuronal activity, nor represent genuine connectivity between brain regions. In this project, we will optimize and extend the suite of advanced in-vivo exposed-cortex optical imaging and microscopy tools that we have developed to date to address the primary challenge of baseline imaging;that data must be acquired without averaging over multiple trials and therefore must have high signal to noise, and all parameters must be recorded in parallel. To this end, we will develop high-speed, high resolution parallel imaging of both hemodynamics and bulk-loaded calcium sensitive dyes over large bilateral cranial windows in rats to map the relations between baseline blood flow and neuronal activity. We will also map fluctuations in flavoprotein (FAD) autofluorescence with spontaneous hemodynamics as a measure of local oxidative metabolism, both complemented with simultaneous electrophysiology. These studies will be performed under a range of anesthesia states as well as in a small subset of awake animals (aim 1). To relate our findings directly to fMRI data in the whole brain, we will develop a system for simultaneous acquisition of exposed cortex optical imaging and fMRI data in rats, elucidating the metabolic (FAD) and neuronal (Ca2+) basis of fMRI signal fluctuations and their relation to fluctuations in the rest of the brain (aim 2). We will further use in-vivo two-photon microscopy for cellular-level metabolic imaging of FAD and NADH fluorescence, and of calcium sensitive dyes to explore the cellular correlates of spontaneous hemodynamic activity, with simultaneous wide-field reflectance imaging of hemoglobin oxygenation dynamics (aim 3). These innovative studies will allow us to determine whether spontaneous hemodynamic fluctuations have the same underlying basis as stimulus-evoked responses, and to explore the nature of the connectivity that FCM infers. Our results will be highly significant, as they will provide insight into the meaning of clinical fMRI FCM results, while also providing guidance for FCM researchers in how to avoid potential neurovascular coupling-related confounds.

Public Health Relevance

This proposal aims to use advanced in-vivo optical imaging and microscopy to study the way that blood flow varies in the resting brain, and the meaning of synchronizations in blood flow fluctuations in different brain regions. Fluctuations in blood flow are currently being used in human magnetic resonance imaging studies to infer connectivity between brain regions, and the popularity of this technique is growing rapidly for studies of diseases such as autism, Alzheimer's and schizophrenia. This project will study the underlying basis of this connectivity mapping, both helping researchers to better understand their clinical results, while also providing new guidance for collection and analysis of data acquired from the resting brain.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS076628-04
Application #
8717740
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Babcock, Debra J
Project Start
2011-08-15
Project End
2016-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
4
Fiscal Year
2014
Total Cost
$342,224
Indirect Cost
$125,662
Name
Columbia University (N.Y.)
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
049179401
City
New York
State
NY
Country
United States
Zip Code
10027
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