The nature of the coupling between neuronal activity and the associated hemodynamic response is a subject of great debate [
1–
4]. Clearer understandings of the neuro-metabolic-vascular relationship will enable greater insight into the functioning of the normal brain and will also have significant impact on diagnosis and treatment of neurovascular diseases such as stroke [
5,
6], Alzheimer’s disease [
7,
8], and head injury [
9]. In order to achieve this goal, simultaneous monitoring of the spatio-temporal characteristics of blood oxygenation, cerebral blood flow (CBF), and the cerebral metabolic rate of oxygen (CMRO
2) is crucial.
Positron emission tomography (PET) [
10,
11] and functional magnetic resonance imaging (fMRI) [
12,
13] are at present the most common neuroimaging modalities. Although these technologies are currently successfully applied for imaging brain hemodynamics and metabolism, each of them has specific limitations. For example, the spatio-temporal resolution of PET is limited, and fMRI requires careful calibration of the scaling factor between the blood oxygen level dependent (BOLD) signal and the relative changes of deoxy-hemoglobin concentration, as well as assumptions about the relationship between the changes in CBF and cerebral blood volume (CBV). In addition, PET and fMRI require multiple imaging methods and contrast agents and due to the cost and complexity they may not be readily available to researchers. On the other hand, optical imaging modalities have shown a great potential to provide high spatio-temporal resolution and more quantitative imaging of hemodynamic responses based on a variety of contrast mechanisms [
14–
19].
Simultaneous optical imaging of cortical hemodynamic parameters during functional activation and pathological conditions has been demonstrated previously in small rodents [
16,
20–
23]. In particular, a single instrument [
16] capable of simultaneously obtaining high-speed wide field images of relative cerebral blood flow (rCBF) based on laser speckle flowmetry [
24–
28] and hemoglobin oxygen saturation changes based on multi-spectral diffuse reflectance imaging [
16,
29] in the brain through a thinned skull preparation was successfully applied in studies of ischemia [
30–
32] and functional activation [
24]. However, multi-spectral measurement of blood oxygenation relies on modeling the migration of photons through the brain and requires assumptions about the optical tissue parameters that may undergo dynamic changes during the experiment [
32].
On the other hand, estimation of the partial pressure of oxygen (pO
2) based on oxygen dependent quenching of phosphorescence [
33–
36] should not be significantly affected by the changes in the optical parameters of the tissue and provides an absolute measure of pO
2. Experimental systems that utilize oxygen sensitive dyes have been demonstrated in
in vivo studies of the perfused tissue as well as for monitoring the oxygen content in tissue cultures, showing that phosphorescence quenching is a potent technology capable of accurate oxygen imaging in the physiological pO
2 range [
19,
37–
44]. However, in most cases, their field of view was limited or their temporal resolution was low due to increased signal averaging.
In this paper we present a novel imaging instrumentation that provides high-speed wide-field images of pO
2 and rCBF in the brain vasculature by combining phosphorescence lifetime imaging with laser speckle contrast imaging. E3cient excitation of the oxygen sensitive phosphorescence dye (Oxypor R2, Gen 2 polyglutamic Pd porphyrin dendrimer [
45,
46]) with a pulsed laser and high light-collection efficiency allowed us to obtain high signal-to-noise ratio (SNR) images of the phosphorescence intensity decay. We demonstrate the potential of the system as a novel tool for quantitative analysis of the dynamic delivery of oxygen by imaging the pO
2 and rCBF during functional activation and cortical spreading depression (CSD) in rats. Future applications of this system should lead to a greater understanding of neurovascular coupling in normal and pathological brain conditions.