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J Neurophysiol (November 1, 2002). 10.1152/jn.00729.2001
Submitted on 28 August 2001
Accepted on 24 July 2002
Laboratory of NeuroImaging, Department of Neurology, University of California, School of Medicine, Los Angeles, California 90024
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ABSTRACT |
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Ba, Alyssa M., Michael Guiou, Nader Pouratian, Arpitha Muthialu, David E. Rex, Andrew F. Cannestra, James W. Y. Chen, and Arthur W. Toga. Multiwavelength Optical Intrinsic Signal Imaging of Cortical Spreading Depression. J. Neurophysiol. 88: 2726-2735, 2002. Cortical spreading depression (CSD) is an important disease model for migraine and cerebral ischemia. In this study, we exploit the high temporal and spatial resolution of optical imaging to characterize perfusion-dependent and -independent changes in response to CSD and to investigate the etiology of reflectance changes during CSD. In this experiment, we characterized the optical response to CSD at wavelengths that emphasize perfusion-related changes (610 and 550 nm), and we compared these results with 850 nm and blood volume data. Blood volume changes during CSD were recorded using an intravascular fluorescent dye, Texas Red dextran. We observed triphasic optical signals at 850 and 550 nm characterized by spreading waves of increased, decreased, then increased reflectance (Fig. 1) which expanded at a rate of approximately 3-5 mm/min. The signal at 610 nm had a similar initial phase, but the phase 2 response was slightly more complex, with a parenchymal decrease in reflectance but a vascular increase in reflectance. Reflectance values decreased in phase three. Blood volume signals were delayed relative to the optical intrinsic signals and corresponded temporally to phases 2 and 3. This is the first study to characterize optical imaging of intrinsic signal responses to CSD, in vivo, at multiple wavelengths. The data presented here suggest that changes in light scattering precede perfusion responses, the blood volume increase (phase 2) is accompanied by a reduction in deoxyhemoglobin, and the blood volume decrease (phase 3) is accompanied by an increase in deoxyhemoglobin. Previous studies have suggested the oligemia of spreading depression was a result of decreased metabolic demand. This study suggests that during the oligemic period there is a greater reduction in oxygen delivery than in demand.
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INTRODUCTION |
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Cortical spreading depression
(CSD) is an important disease model for migraine (Lauritzen
1994
) and is related to other neurological disorders, such as
seizure (Gowers 1907
), neurotrauma (Oka et al.
1977
), and ischemia (Hossman 1996
, Takano
et al. 1996
). Characterization of CSD may enhance our
understanding of its role in the pathophysiology of these neurological
disorders. In the following study, we exploit the high temporal and
spatial resolution of optical imaging of intrinsic signals (OIS) to
characterize the profile and investigate the etiology of reflectance
changes during CSD in vivo.
CSD background: physiology
CSD was initially studied in 1944 by Aristedes Leão, who was
attempting to characterize electroencephalographic (EEG) phenomena observed during "experimental epilepsy." CSD may be induced by mechanical stimulation (Leão 1944a
; Piper
and Lambert 1996
; Richter and Lehmenkühler
1993
), elevated potassium (Koroleva and Bure
1980
; Takano et al. 1996
), glutamate
application, or electrical stimulation (Guedes et al.
1987
; Leão 1944a
; McLachlan and
Girvin 1994
). CSD may begin instantaneously or up to 20 s
after stimulation (Leão 1944a
). It is
characterized by EEG depression and a DC potential shift that spreads
across the cortex at a rate of 3-5 mm/min (Leão
1944a
). The negative deflection of the DC potential lasts
approximately 1-2 min (de Crespigny et al. 1998
;
van Harreveld and Ochs 1957
). Evoked potentials and EEG
are also attenuated for 5-10 min (Bure
et al.
1974
; Leão 1944a
). The
electrophysiological changes are accompanied by an increase in
extracellular potassium (Vysko
il et al. 1972
) and
a net movement of ions and fluid into the intracellular space
(van Harreveld and Ochs 1957
).
Hemodynamic response to CSD
Vascular changes that accompany CSD have been characterized with a
variety of methodologies including laser Doppler flowmetry (Dreier et al. 1998
; Fabricius and Lauritzen
1996
; Wolf et al. 1996
), laser Doppler perfusion
imaging (Lauritzen and Fabricius 1995
), observation of
pial vessel diameter (Leão 1944b
), autoradiography (Fabricius and Lauritzen 1993
; Lauritzen et al.
1982
), and OIS (O'Farrell et al. 2000
). These
techniques generally show that CSD leads to an increase in blood flow
and blood volume that lasts for 1-2 min (Leão
1944b
) followed by a reduction in blood flow that lasts for up
to 1 h (Lauritzen et al. 1982
). Perfusion studies in human migraine patients have demonstrated a spreading oligemia, consistent with the oligemia found in animal models of CSD
(Lauritzen 1994
; Lauritzen and Olesen
1984
; Woods et al. 1994
).
These methods of studying CSD all have specific advantages and disadvantages. Laser Doppler techniques have excellent temporal resolution, but recordings are only made from one spatial location. Autoradiography has excellent spatial resolution, but it is unable to track an event in one subject over time. PET and magnetic resonance imaging (MRI) have the capability to collect three-dimensional spatial information at multiple timepoints in one subject, but the spatial resolution of these techniques is on the order of millimeters. In this study, our goal was to simultaneously track the spatial and temporal characteristics of CSD with high-resolution, multi-wavelength OIS imaging.
OIS
OIS is a functional neuroimaging technique that measures cortical
reflectance changes with second temporal resolution and micron spatial
resolution (Cannestra et al. 1996
; Frostig et al. 1990
; Narayan et al. 1994
). OIS is particularly
appropriate for the study of CSD because a large region of cortex can
be studied simultaneously and multiple time points can be collected
over time as the depression spreads (O'Farrell et al.
2000
). These are distinct advantages over other methods that
offer either good temporal or spatial resolution but not both.
There are several compelling reasons for characterizing CSD in vivo
with a high-resolution, perfusion-related imaging technique such as
OIS. First, OIS may provide information about the pattern of spread of
CSD. For example, previous studies have suggested CSD spreads uniformly
in all directions from the initiation point (Ochs 1962
;
Somjen et al. 1992
). However, one study that used OIS to
image CSD in vivo (Yoon et al. 1996
) suggested the
pattern is nonuniform, driven by asymmetric cortico-cortical
connections or circuits. Second, in vivo OIS (in conjunction with dyes
or multi-wavelength studies) has the potential to correlate
perfusion-related changes with cellular or electrophysiologic changes
of CSD. This is important because most human imaging studies of
migraine are perfusion based (Lauritzen 1994
;
Woods et al. 1994
). Third, it is essential to recognize
the optical profile of CSD because OIS studies that involve seizure,
electrical stimulation, or mechanical perturbation of the cortex can
inadvertently induce CSD. Although CSD may have a role in seizure, one
would not want to confuse the spread of CSD with spread of seizure.
Fourth, OIS is being developed as an intraoperative tool for brain
mapping in humans (Cannestra et al. 1996
; Haglund
et al. 1992
; Toga et al. 1995
). Once the OIS
response to CSD is characterized in animals, intraoperative OIS could
be an excellent opportunity for identifying CSD in awake humans.
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METHODS |
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Animal preparation
Optical intrinsic signals, cerebral blood volume, and EEG were
monitored in rodent cortex during experimentally induced CSD. Thirty-two adult male Sprague Dawley rats [301 ± 71 (SD) g] were used for this study (10 rats at 850 nm, 5 rats at
610 nm, 9 rats at 550 nm, 8 rats for blood volume measurements). They
were prepared for imaging using our previously described methodology
(Blood et al. 1995
; Cannestra et al.
1996
) in accordance with Animal Research Committee
institutional guidelines.
Anesthesia was induced with gaseous halothane (4-5%) and maintained (1-2%) at a depth such that the rat had no response to toe pinch. For imaging preparation, all rats were placed in a stereotactic frame (David Kopf Instruments, Tujunga, CA), and their heads were shaved. A midline scalp incision was made to expose the bone over the parietal cortex of one or both hemispheres. The bone over the hemisphere to be imaged was thinned with a metal scraping instrument (Biomedical Research Instruments, Rockville, MD), and silicone oil was applied to increase the translucency. Under high magnification, two to three burr holes were drilled in the right parietal bone for recording EEG (3.5-4 mm posterior to bregma, and 5.5-6 mm lateral to bregma) and pinprick-induction of CSD (32-gauge needle, 2-3 mm anterior or posterior to the electrode). Drilling the burr holes under high magnification allowed the dura to remain intact prior to electrode insertion or CSD induction.
After surgery, the animal, still in the stereotactic frame, was transferred to the imaging stage. Halothane was discontinued and replaced with enflurane (1.5-2%). The electrode was positioned at a depth of 0.5-1 mm, and the animal was allowed to recover (under anesthesia) for at least 1 h. During imaging, anesthesia was adjusted so that the animal maintained a corneal blink reflex but no response to toe pinch. Core body temperature was monitored with a rectal temperature probe and maintained with a heating pad.
Optical intrinsic signal imaging
The parietal bone was epi-illuminated with white light from a voltage-regulated Cuda I-150 halogen source (Cuda) via fiber optic illumination guides, and images were collected with a cooled charge-coupled device (CCD, model TE/CCD-576EFT, Princeton Instruments, Trenton, NJ) mounted over the imaging stage. Images were filtered (Corion, Holliston, MA) at 550 nm (530-570 nm), 610 nm (605-615 nm), and 850 nm (845-855 nm). Images were acquired (1-2 frames/s, 200-ms exposure time, 192 × 144 pixel array, 2 × 2 pixel binning, 16 bit, 430- kHz acquisition, spatial resolution approximately 50 µm) and stored on a personal computer.
We wished to record baseline signals and at least 5 min of data after CSD induction to see development of perfusion changes. Due to software limitations, we could only record for 150 s at a time, so three sets of 150 images were acquired: baseline, CSD induction, and post-induction (1 frame/s, 200-ms exposure, 5 s between sets). CSD was induced during the second image set, approximately 5-20 s after the start of recording.
Intravascular dye
In eight animals, we imaged changes in blood volume using the
intravascular fluorescent dye Texas Red dextran (M. W. 70,000, Molecular Probes) as previously reported (Cannestra et al.
1998
; Narayan et al. 1995
;
O'Farrell et al. 2000
). We cannulated the right femoral
vein with PE-50 tubing for intravenous dye administration and prepared
the animal for imaging as in the preceding text. The dye was
administered (50-75 mg/kg iv in physiological saline) over 2 h
through a syringe pump. The cortex was epi-illuminated with 590 nm
(585-595 nm) light from an intense metal halide lamp
(Luminous 250, Progressive Dynamics), and the reflected light was
filtered at 650 nm (630-670 nm). We used the same imaging protocol for
the dye study as for optical intrinsic imaging (1-2 frames/s, 200-ms
exposure time, 192 × 144 pixel array, 2 × 2 pixel binning,
16 bit, 430 kHz acquisition).
Electrophysiology
EEG was acquired simultaneously (200 Hz) with OIS and blood
volume data. Recordings were made in the area of the right barrel cortex in all animals with a 12 M
unipolar electrode. The electrode was advanced to a depth of approximately 0.5-1 mm, and the animal recovered for at least 1 h before the start of data collection. The signal was amplified with a Grass Amplifier (3-35 Hz, Grass Instruments, Quincy, MA) and collected with Labview (5.0, National Instruments, Austin, TX) on a Pentium (Intel, Santa Clara, CA) workstation. We used Labview to simultaneously trigger digital collection of the electrophysiological data and optical images.
CSD induction
We used cortical pinprick (Becton-Dixon tuberculin needle, tip:
less than 50 µm, angle = 11.3°, maximal diameter: 0.4 mm) to
the parietal cortex because it is an extremely reliable method of
eliciting CSD, and it allowed us to control the timing and location of
induction. The needle was inserted to a depth of 1 mm, and each
induction lasted 1-2 s (calculated as the number of frames during
which the needle was visible during an imaging trial). No resistance
was encountered during induction. Each induction was performed after
the start of OIS imaging allowing for this calculation. Successful
induction of CSD was confirmed by EEG depression. Similar methods have
been used to induce CSD in rabbit (Leão 1944a
,b
),
rat (Lauritzen and Fabricius 1995
; Richter and Lehmenkühler 1993
), and cat (Piper and Lambert
1996
). In the rare (3-4) instances that EEG depression was not
observed, the recordings and pinprick were repeated.
Data analysis
IMAGE ANALYSIS. For each set of optical images, we performed a ratio analysis to detect small changes in the optical reflectance over time. For each set of optical images, a pixel-by-pixel ratio was calculated [(image-control)/control] for each image, using the first image of trial 2 as a control. The resulting ratio images represent a percentage change from baseline. We excluded data sets in which the pinprick caused bleeding, since it obscured the OIS response. Rate-of-spread calculations were performed on these ratio images.
REGION OF INTEREST ANALYSIS. Because optical signals evolved and spread across the cortex, a description of the average image intensity was not particularly useful. Instead, we chose small regions of interest (ROIs) at different distances from the pinprick and calculated the average OIS intensity in the ROI for each frame. We then plotted these reflectance values versus time. Because the evolution of signals over the macroscopic vasculature was different from the signals observed in the parenchyma, vessel ROIs and parenchymal ROIs were both identified and graphed separately.
Average time courses at each wavelength across subjects were calculated by aligning curves to the initial post-CSD peak or trough, then averaging. This method of realignment was necessary because there were differences in the distance of the ROI from the induction site, the rate of spread was not consistent, and the onset of CSD after pinprick was also variable. We did not use the same method for aligning data across different wavelengths because the temporal profile of the CSD at different wavelengths was dissimilar, and we did not want to assume anything about the relative timing of the signals at different wavelengths. To display this data on a similar time scale, we shifted databased on the rate of CSD spread, the distance from the induction site, and the time of CSD induction. Phase plots were generated from this data by taking the average timecourses and plotting the value for 610 nm on the y axis and 850 nm on the x axis for each point in time. This process was repeated for 550 versus 850 nm and blood volume versus 850 nm.| |
RESULTS |
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We observed triphasic optical signals at 850 and 550 nm, characterized by spreading waves of increased, decreased, then increased reflectance that expanded at a rates of 3.5 ± 1.6 to 4.9 ± 1.2 mm/min (Fig. 1, Table 1). The signal at 610 nm had a similar initial phase; however, the phase 2 response was slightly more complex, with a parenchymal decrease in reflectance, but a vascular increase in reflectance. Reflectance values increased in phase 3. Blood volume signals, as measured using intravascular dye, were delayed relative to the optical intrinsic signals, and corresponded temporally to phases 2 and 3.
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Electroencephalography
CSD was identified by decreases in the amplitude of the EEG. This EEG depression generally occurred within 5-30 s of the pinprick and began to recover within 5 min. In three of the four cases where EEG depression did not occur, there was also no evidence of optical CSD. The one exception was one animal with multiple CSD inductions where the EEG was still depressed from the last induction. We observed no EEG depression unless optical CSD was observed.
Characteristics of OIS response
850 nm.
The optical response we observed at 850 nm was similar to that
described in a prior study (O'Farrell et al. 2000
) with
increased, decreased, then increased reflectance (Fig. 1). In this
paper, we followed the signals over a longer time course and calculated average time courses across multiple CSD events (Fig.
2A). These averaged
timecourses highlight one aspect of the signal that was not as clear in
the prior study, an initial decrease in reflectance prior to phase 1. This is seen as a slight dip at 20 s in Fig. 2A and as
a dark halo around the CSD margin at 30 and 60 s in Fig. 1, 850 nm. This initial decrease in reflectance occurred in many of the CSD
events; however, it was not consistently present, and it was not
uniform (Fig. 1).
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550 nm. The response at 550 nm had a very similar triphasic pattern of increased, decreased, then increased reflectance (Figs. 1 and 2B). Phase 1 had a highly uniform wavefront and fairly homogenous rate of spread. Phases 2 and 3 had a less homogeneous spread with large, rapid signal changes over the vasculature. The averaged timecourse shows a small decrease in reflectance prior to phase 1 (Fig. 2B at approximately 8 s); however, it is easier to see in some of the unaveraged data (Fig. 4A).
610 nm. The response at 610 nm was very different from that seen at either 850 or 550 nm (Figs. 1 and 2C). We observed an initial wave of increased reflectance consistent with phase 1 seen at the other wavelengths. Phase 1 was homogeneous, small amplitude, sharp wavefront that displayed an even rate of spread. This was followed by a spreading decrease in parenchymal reflectance very similar to phase 2 at 850 and 550 nm. We labeled this phase 2p. Coincident with 2p, was a very high magnitude increase in reflectance over the veins which we labeled 2v. Phase 2v was vascular, large amplitude, and inhomogeneous, with a highly nonuniform wavefront. The parenchymal (2p) and macrovascular (2v) components can be differentiated by comparing time courses over different ROIs (Fig. 3). Reflectance values over the parenchyma reached a peak more quickly and declined while the venous reflectance was still increasing. There was a second peak in the parenchymal signal that appeared to coincide with the vascular peak. Finally, we observed a large reflectance decrease over the veins that coincided temporally with phase 3.
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INTRAVASCULAR DYE (BLOOD VOLUME).
The optical response we observed with the intravascular dye was similar
to that described in a prior study (O'Farrell et al. 2000
), with a delayed increase, then decrease in blood volume (Figs. 1 and 2D).
Timing and duration of optical phases
RATE OF SPREAD. The propagation rate for all wavelengths was between 3.5 ± 0.7 and 4.9 ± 1.2 mm/min (Table 1); however, the later phases demonstrate much larger variability in rate, particularly for 550 nm, 610 nm, and blood volume response. The general trend at all wavelengths was slow propagation of the waves away from the pinprick site (Fig. 4, A and B).
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ONSET. The time of onset of the three phases was consistent for 550, 610, and 850 nm. For 550 nm, phase 1 begins 10.5 ± 4.3 s after the pinprick, phase 2 begins 18.2 ± 7.0 s, 71.3 ± 12.4. For 610 nm, phase 1 begins at 12.7 ± 7.8, phase 2v begins at 19.3 ± 11.5, phase 2p at 31.5 ± 5.8, and phase 3 at 101.1 ± 15.5. For 850 nm, phase 1 begins 10.3 ± 3.3 s after the pinprick, phase 2 begins 29.3 ± 4.9 s after the pinprick, and phase 3 begins 93.0 ± 19.6 s after the pinprick (Table 2, A and B). The blood volume increase, as measured with Texas Red dextran, coincides with phase 2 of the OIS data while the blood volume decrease coincides with phase 3.
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DISCUSSION |
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This is the first study to characterize OIS responses to CSD in vivo at multiple wavelengths. This model allows us to observe and compare electrophysiology, blood volume, perfusion-related changes, and light scattering effects in response to CSD with sufficient spatial and temporal resolution to differentiate macrovascular from parenchymal signals.
Interpretation of electroencephalography
This study demonstrated depression of EEG activity after pinprick,
which was similar to the depression seen in previous studies of CSD
(Bure
et al. 1974
; Leão
1944a
). We only observed the characteristic optical signals
(3-4 mm/min spreading waves) that we term CSD, in conjunction with EEG
depression. This suggests that we are, in fact, observing CSD-related
events and not an artifact of pinprick.
Previous studies have shown that evoked potentials and EEG are
attenuated for 5-10 min after CSD (Bure
et al.
1974
; Leão 1944a
). Hence, when designing
an experiment, one should be cautious in interpreting evoked response
data in the initial minutes after an electrode is first inserted into
the brain of a subject because it is possible that CSD could be
triggered, depressing the response. This is relevant for both in vivo
and in vitro electrophysiology.
Interpretation of OIS data
WAVELENGTH DEPENDENCE.
In vivo optical changes are spatially correlated with neuronal activity
and are due to changes in light scattering, blood volume, and
hemoglobin and cytochrome oxidation (Holthoff and Witte
1996
; Malonek and Grinvald 1996
; Narayan
et al. 1995
). These components all have different absorbance
spectra, so it is possible to emphasize different physiological
phenomena by filtering the incident or reflected light at various
wavelengths. At an isobestic point of hemoglobin (approximately 550 nm), deoxygenated hemoglobin and oxygenated hemoglobin have the same
absorbance and therefore changes in total hemoglobin concentration are
emphasized (Frostig et al. 1990
; Grinvald et al.
1986
). In the low 600-nm range, oxyhemoglobin absorbance is
negligible compared with that of deoxyhemoglobin absorbance. By imaging
at 610 nm, one emphasizes changes in deoxyhemoglobin concentration or
hemoglobin oximetry (Frostig et al. 1990
; Malonek and Grinvald 1996
; Nemoto et al. 1999
). Light
scattering occurs over the entire visible spectrum and near infrared.
At 850 nm, hemoglobin absorption is low, so light scattering effects
predominate (Frostig et al. 1990
; Narayan et al.
1995
). Decreases in reflectance at 850 nm in response to
somatosensory stimulation correlate with cellular swelling and
increased local cerebral blood volume (Cohen et al.
1973
; Holthoff and Witte 1996
;
Narayan et al. 1995
). At 610 and 550 nm, light
scattering and cellular swelling also contribute to reflectance changes
during stimulation; however, under "normal" conditions of
somatosensory stimulation, the hemoglobin and blood volume contribution
appears to be much larger (Malonek and Grinvald 1996
;
Nemoto et al. 1999
).
PHASE 1.
The phase 1 responses at 550, 850, and 610 nm are consistent in
appearance, timing, and magnitude suggesting that light scattering is a
likely etiology of the signal (Malonek and Grinvald
1996
). Experiments show that the light scattering signal is
independent of wavelength although the magnitude of the signal may vary
(Bonhoeffer and Grinvald 1996
). Changes in light
scattering could be due to changes in blood volume (Holthoff and
Witte 1996
; Narayan et al. 1995
), but
intravascular dye studies indicate no change in blood volume during
phase 1. Changes in light scattering could also be due to increases in
cellular swelling; however, these would be expected to lead to
decreases in reflectance as opposed to the increase we observed
(Holthoff and Witte 1996
). (It is possible that the
decrease in reflectance that preceded phase 1 could have been due to
cellular swelling.) A potential explanation comes from in vitro slice
observations, which suggest dendritic beading, mitochondrial swelling,
or ultra-structural changes are the cause of the increases in light
scattering after induction of CSD (Müller and
Somjen 1999
).
PHASE 2.
The phase 2 results in the parenchyma (2p) were consistent with a
decrease in light scattering due to an increase in blood volume or an
increase in cell swelling (Holthoff and Witte 1996
; Nemoto et al. 1999
) because there was a decrease in
reflectance at all wavelengths. An increase in blood volume is
consistent with the intravascular dye results, and an increase in cell
swelling is expected from in vitro studies and investigations using MRI (de Crespigny et al. 1998
). The 610 nm data also suggest
an increase in parenchymal deoxyhemoglobin concentration. A clearer
picture of the events underlying phase 2 could be determined in future studies using spectroscopic techniques or with simultaneous acquisition of data at multiple wavelengths.
PHASE 3.
The phase three results are consistent with a decrease in blood volume
(Nemoto et al. 1999
). A decrease in blood volume is not
surprising in the light of prior CSD experiments (O'Farrell et
al. 2000
). Phase 3 signals cannot be due solely to light
scattering or reduction in blood volume because the 610 nm signal is
opposite in sign from the 550 and 850 nm signals. The 610 nm results
suggest an increase in deoxyhemoglobin (Nemoto et al.
1999
), which is somewhat surprising. It has been suggested that
the spreading oligemia of migraine or CSD is a reaction to decreased
metabolic demand during neuronal depression (Lauritzen et al.
1982
). Our results suggest, in the wake of CSD, the oxygen
demand is greater than the supply, at least relative to pre-CSD
conditions. This could explain the role of CSD in expanding the area of
infarction in stroke models (Hossman 1996
; Iijima
et al. 1992
; Takano et al. 1996
).
Implications
This study characterized the response to CSD at multiple wavelengths. This is a necessary step for identification of CSD in past or future OIS imaging experiments. These results could also help guide the design of future experiments. For example, the signals at 550 and 610 nm are large amplitude; this may make them useful for detection of CSD. The 850-nm signal is much cleaner, so it may be more appropriate if one wishes to focus on spread of the initial wavefront, or spatial characteristics of the signal.
Another application of these findings is for mapping in humans.
Intraoperative OIS provides an exciting opportunity to detect and study
CSD. This is a compelling goal because few studies have been able to
identify CSD in humans (Mayevsky et al. 1996
;
McLachlan and Girvin 1994
) despite the fact that it is
hypothesized to play a role in many neurological disorders. The
majority of the evidence for CSD in humans is based on perfusion
studies without accompanying electrophysiological measurements. With
intraoperative OIS, we could image perfusion changes and light
scattering characteristic of CSD in conjunction with
electrophysiological monitoring.
The identification of CSD in other OIS experiments is also critical
because CSD is so easily induced in animals by mechanical (Piper
and Lambert 1996
), or electrical stimulation (Leão
1944a
; McLachlan and Girvin 1994
) or seizure
(Koroleva and Bure
1983
). In fact, one study
(Haglund 1998
) demonstrates optical responses to
seizure that have a very strong resemblance to CSD. Spreading waves of
alternating increased then decreased reflectance were observed. The
author suggests that these alternating waves are due to alternating
excitation and inhibition during seizure. In such cases, CSD should be
ruled out by measuring rates of spread or monitoring EEG or DC potential.
Conclusion
This is the first OIS study to characterize multi-wavelength OIS responses to CSD in vivo. We demonstrated a triphasic response at all wavelengths with perfusion-related and nonperfusion-related components. Signals were consistent with in vitro measurements of light scattering, MRI, laser Doppler flowmetry (LDF), and autoradiographic observations of perfusion and electrophysiological markers of CSD. However, our study suggests light scattering changes precede perfusion changes during CSD. It also suggests venous oxygenation may be increased during the hyperperfusion phase and decreased during the hypoperfusion phase of CSD.
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ACKNOWLEDGMENTS |
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This work was supported by National Institutes of Health Grant MH/NS-52083 and Medical Scientist Training Program (GM-08042).
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FOOTNOTES |
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Address for reprint requests: A. W. Toga, Laboratory of NeuroImaging, 710 Westwood Plaza, Rm. 4-238, Mail Code 176919, Los Angeles, CA 90024-1769 (E-mail: toga{at}loni.ucla.edu).
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