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The Journal of Neurophysiology Vol. 88 No. 1 July 2002, pp. 422-437
Copyright ©2002 by the American Physiological Society
Laboratory of Neuro Imaging, Department of Neurology, Division of Brain Mapping, University of California, Los Angeles, California 90095
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ABSTRACT |
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Blood, Anne J., Nader Pouratian, and Arthur W. Toga. Temporally Staggered Forelimb Stimulation Modulates Barrel Cortex Optical Intrinsic Signal Responses to Whisker Stimulation. J. Neurophysiol. 88: 422-437, 2002. Characterization of neurovascular relationships is critical to accurate interpretation of functional neuroimaging data. We have previously observed spatial uncoupling of optical intrinsic signal imaging (OIS) and evoked potential (EP) responses in rodent barrel cortex following simultaneous whisker and forelimb stimulation, leading to changes in OIS response magnitude. To further test the hypothesis that this uncoupling may have resulted from "passive" overspill of perfusion-related responses between functional regions, we conducted the present study using temporally staggered rather than simultaneous whisker and forelimb stimulation. This paradigm minimized overlap of neural responses in barrel cortex and forelimb primary somatosensory cortex (SI), while maintaining overlap of vascular response time courses between regions. When contrasted with responses to 1.5-s lone-whisker stimulation, staggered whisker and forelimb stimulation resulted in broadening of barrel cortex OIS response time course in the temporal direction of forelimb stimulation. OIS response peaks were also temporally shifted toward the forelimb stimulation period; time-to-peak was shorter (relative to whisker stimulus onset) when forelimb stimulation preceded whisker stimulation and longer when forelimb stimulation followed whisker stimulation. In contrast with OIS and EP magnitude decreases previously observed during simultaneous whisker/forelimb stimulation, barrel cortex OIS response magnitude increased during staggered stimulation and no detectable changes in underlying EP activity were observed. Spatial extent of barrel cortex OIS responses also increased during staggered stimulation. These findings provide further evidence for spatial uncoupling of OIS and EP responses, and emphasize the importance of temporal stimulus properties on the effects of this uncoupling. It is hypothesized that spatial uncoupling is a result of passive overspill of perfusion-related responses into regions distinct from those which are functionally active. It will be important to consider potential influences of this uncoupling when designing and interpreting functional imaging studies that use hemodynamic responses to infer underlying neural activity.
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INTRODUCTION |
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Rigorous design and
interpretation of functional imaging studies using techniques such as
positron emission tomography (PET) and functional magnetic resonance
imaging (fMRI) presupposes a thorough understanding of neurovascular
coupling. Use of these techniques is based on the premise that
there is a spatial correlation between hemodynamic responses and
underlying neuronal activity (Fox et al. 1988
;
Roy and Sherrington 1890
; Sokoloff 1981
).
There is evidence, however, that under certain conditions there may be
substantial spatial uncoupling between these two processes, indicating
that neurovascular coupling requires further investigation (Blood and Toga 1998
).
Optical intrinsic signal imaging (OIS) is an ideal technique for
studying neurovascular relationships because it allows detection of
vascular-related activity over broad cortical regions with high spatial
and temporal resolution and can be paired with electrophysiological measurements in the same subject. Although OIS signals have been obtained using bloodless preparations (Cohen et al. 1971
,
1972
; MacVicar and Hochman 1991
), there is
evidence that, depending on imaging wavelength, a significant
proportion of OIS signals in the intact brain can be attributed to
changes in vascular activity, including blood flow, blood volume, and
hemoglobin oxygenation levels (Frostig et al. 1990
;
Grinvald 1992
; Grinvald et al. 1986
; Malonek and Grinvald 1996
; Narayan et al. 1994
,
1995
).
OIS and other imaging techniques, such as laser-Doppler flowmetry,
vascular beads, vascular dyes, PET, and fMRI, have been used to
characterize properties of regional cerebral perfusion during
functional neuronal activity (Cox et al. 1993
;
Grinvald et al. 1986
; Lindauer et al.
1993
; Narayan et al. 1994
; Ngai et al.
1988
; Rovainen et al. 1993
). The precision of
neurovascular coupling varies among temporal, magnitude, and spatial
dimensions and is also affected by stimulus parameters and baseline
physiological conditions. For example, Lindauer et al.
(1993)
used laser-Doppler flowmetry to characterize the delayed
and prolonged time course of activity-related perfusion relative to
electrophysiological activity in rodent barrel cortex. Peak cerebral
blood flow (CBF) responses occurred 2-3 s following stimulation onset
as compared with the millisecond resolution of electrophysiological
responses. Imaging spectroscopy and laser-Doppler flowmetry were used
to demonstrate that during functional activation, changes in
deoxygenated hemoglobin levels precede changes in CBF by more than
1 s (Malonek et al. 1997
). In addition, variables
such as stimulus frequency or regional CBF response amplitude
have been shown to correlate with time course of the vascular response
(Ances et al. 1998
; Blood et al. 1995
).
Magnitude of vascular perfusion is related both to characteristics of
the perfusion time course (Frahm et al. 1997
;
Kruger et al. 1996
) and to stimulus parameters. Using
PET, Fox and Raichle (1985)
observed a relationship
between photic stimulus rate and percent regional CBF increases in
striate cortex. Specific relationships have also been observed between
stimulus frequency or strength and pial arteriolar diameter changes in
rodent sensory hindlimb cortex (Ngai et al. 1988
).
Cannestra et al. (1998)
described decreased OIS response
magnitude to a somatosensory stimulus when stimulation occurred during
vascular "refractory periods." Vascular response magnitude is also
influenced by baseline physiological conditions; for example,
hypercapnia causes increased CBF in response to somatosensory stimulation in rats (Schmitz et al. 1996
).
Spatial relationships between microvascular anatomy and cortical
functional units have been illustrated by co-localization of dense
capillary beds and individual whisker barrels in layer IV of the rat
barrel cortex (Cox et al. 1993
; Woolsey et al.
1996
). However, arteriolar supply and venular drainage of blood
volume to a given region results in local uncoupling of the vascular response outside the boundaries of receptive fields or neuronal activity (Cox et al. 1993
; Narayan et al.
1995
; Woolsey et al. 1996
). For example, OIS and
vascular dye responses in rodent primary somatosensory cortex (SI) have
been shown to spread over wider areas than center receptive fields
mapped by single-unit recordings (Narayan et al. 1995
).
Spatial extent of perfusion-related responses may also increase due
to the fact that neurovascular coupling appears to be mediated,
at least in part, by freely diffusible substances such as nitric
oxide (NO) (Dirnagl et al. 1993
; Wahl and
Schilling 1993
).
While spatial uncoupling of neuronal and vascular activity most often
occurs locally, there is increasing evidence for "passive" overspill across functional boundaries of cerebral cortex. It appears
that CBF recruited by neural activity in a given cerebral region can
diffuse into vessel branches that are peripheral to the branches
overlying, feeding, or draining the functionally active region. This is
mechanically feasible when CBF is recruited through an upstream parent
artery that bifurcates to perfuse multiple cerebral regions. A passive
overspill response is thus functional in origin but is not recruited by
functional neural activity in the region to which it flows
(Blood and Toga 1998
). Note that the term passive is
used here to distinguish this type of overspill from the local spatial
incongruities produced by vessels feeding or draining a functionally
active region.
Previous studies have demonstrated evidence for passive overspill. For
example, Ngai et al. (1988)
showed that under some conditions, arteriolar diameter changes were observed outside hindlimb
sensory cortex following sciatic nerve stimulation. Similarly, we
recently observed OIS responses over and around branches of the MCA
feeding barrel cortex, following forelimb stimulation only
(Blood and Toga 1998
). These barrel cortex OIS responses were seen in the absence of whisker stimulation or detectable barrel
cortex evoked potentials (EPs). This dramatic spatial uncoupling also
appeared to influence the net magnitude of the barrel cortex OIS signal
during simultaneous whisker and forelimb stimulation because
there were complex changes in OIS response magnitude (including both
increases and decreases) during simultaneous whisker and forelimb
stimulation. Because barrel cortex EPs also decreased during
simultaneous whisker and forelimb stimulation, it was unclear whether
OIS magnitude decreased only as a result of neuronal modulation or if
other nonfunctional vascular modulation also contributed to magnitude
decreases. For example, magnitude decreases may have been caused
partially by "shunting" of blood flow from barrel cortex to
forelimb SI on activation of this region (Shmuel et al.
2001
). However, the hypothesis tested in the present study was
that vascular overspill is the dominant form of nonfunctional vascular
modulation that occurs when vascular response curves overlap, leading
to increases rather than decreases in OIS response magnitude.
Regions of rodent SI corresponding to whisker and forelimb are likely
candidates for vascular overspill because they are each perfused by
branches of the middle cerebral artery (MCA) arising from a common
parent vessel, which is located in the most lateral portion of SI
(Blood and Toga 1998
; Cox et al. 1993
;
Ngai et al. 1988
). SI representation of the rat's 25 primary mystacial whiskers is centered 2.4 mm posterior and 5.5 mm
lateral to bregma (Chapin and Lin 1984
) and is perfused
by a major posterolateral MCA arteriole (Cox et al.
1993
; Woolsey and Rovainen 1990
) (Fig.
1A). This region is referred
to as "barrel cortex" because of the barrel-shaped cytoarchitecture
corresponding to somatotopic representation of individual mystacial
whiskers of the rodent (Chapin and Lin 1984
). SI
representation of the rat forelimb is centered 1.0 mm anterior and 4.0 mm lateral to bregma and is perfused by a major anteromedial arteriole
arising from the same MCA parent vessel (Cox et al. 1993
) (Fig. 1A). Barrel and forelimb SI regions are
also particularly appropriate for investigation of neurovascular
relationships because their high level of anatomical and functional
organization has already been well studied using electrophysiological
and autoradiographic techniques (Durham and Woolsey
1977
; Santori et al. 1986
; Simons 1978
; Welker 1971
; Woolsey and Van der
Loos 1970
).
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Secondary somatosensory cortex (SII), which may respond to activity in
either barrel cortex or forelimb SI, is located just lateral to barrel
cortex (Chapin and Lin 1984
). Although SII is most
likely fed by vessels diverging from the most lateral branch of the
posterolateral MCA arteriole feeding barrel cortex, the coordinates of
SII itself usually lie lateral to this MCA branch (Welker and
Sinha 1972
). Thus the vascular supply to SII may, at least in
some cases, overlap with the supply to barrel cortex. This offers an
alternative and/or additional explanation for the origin of barrel
cortex OIS responses to lone forelimb stimulation.
To further investigate the hypothesized influence of
neurovascular uncoupling on the magnitude and time course of OIS
responses in rodent somatosensory cortex, the present study was
conducted using OIS and a modified version of the stimulus paradigm
used by Blood and Toga (1998)
. In this modified
paradigm, whisker and forelimb stimulation were temporally staggered
rather than simultaneous (Fig. 2).
Because the temporal resolution of neuronal and vascular responses
differs substantially (milliseconds vs. seconds, respectively), we
designed this stimulus paradigm based on the premise that
staggered stimulation should result in significant temporal
overlap of vascular responses, but not primary neuronal responses, in
whisker and forelimb SI. EP measurements were used to support this
premise. Thus we were able to observe evidence for the effects of
vascular overspill on spatial, magnitude, and temporal properties of
the OIS signal, while minimizing temporal overlap of neural activity in
the two regions. We discuss these properties and their practical implications.
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METHODS |
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Animal preparation
Nine adult male Sprague-Dawley rats (Charles River Laboratories)
weighing between 200 and 350 g were prepared with thinned skulls
(Blood et al. 1995
). During surgery, rats were initially anesthetized with gaseous halothane and the right femoral vein was
cannulated with PE-50 tubing. Rats were then given 0.4-0.5 ml of 0.5 M
urethan during 0.5 h, and urethan administration was continued
throughout data collection to maintain anesthesia, while still
allowing withdrawal from toe pinch. Halothane administration was
discontinued once urethan anesthesia stabilized and at least 1 h before imaging began.
Anesthetized rats were placed in a stereotaxic frame, heads shaved, and a midline incision made in the scalp. The skull was cleaned and the right temporalis muscle retracted. A small metal scraping instrument (Biomedical Research Instruments, Rockville, MD) was then used to thin the bone over the primary somatosensory region of the right hemisphere of the brain until branches of the superior cerebral vein and the MCA were visible (Fig. 1, B and C). Thinning was done uniformly so that the entire imaging field was viewed through a homogenous region of bone. Silicone oil was applied to the skull after thinning and as needed during imaging sessions to make the bone more translucent. After each application of silicone oil, excess oil was wiped off with a dry cotton swab, and oil was allowed to soak in for several minutes to minimize the likelihood of significant changes in the quality and properties of the optical interface across time. Furthermore, overall reflectance was recorded at the beginning and end of each trial to ensure that there were no large global changes in reflectance across time. All animal and experimental protocols were approved by the Animal Research Committee of the University of California, Los Angeles.
Experimental protocol
Following surgery, anesthetized rats with thinned skulls were placed, still in the stereotaxic frame, under the CCD camera (Princeton Instruments) and secured in place so that cortical vessels were visible on a computer screen display of the camera's field of view. The field of view was placed such that both barrel cortex and forelimb SI regions were visible. To more precisely characterize OIS responses in barrel cortex, however, it was not possible to include the entire forelimb SI region in this field of view. Because a substantial portion of the forelimb response could be detected, however, we opted to calculate and compare OIS response time course for this portion of the forelimb SI responses. Unlike measurements of magnitude and spatial extent, time course is measured within individual trials and is made as a relative rather than an absolute measurement. It should be noted, however, that the measurements of time course in forelimb SI are only estimations and are not fully conclusive. OIS response magnitude and spatial extent in forelimb SI were not calculated due to the limited field of view.
During imaging, the cortex was illuminated with voltage-stabilized
white light and images were filtered at 850 nm. Filtering images at
different wavelengths emphasizes detection of signals associated with
different physiological processes (Frostig et al. 1990
;
Grinvald 1992
; Haglund et al. 1994
;
Holthoff and Witte 1996
; Malonek and Grinvald
1995
; Narayan et al. 1994
, 1995
). An 850-nm
filter was used in the present study, emphasizing intrinsic signals due
largely to light scattering from changes in blood volume, blood flow,
vascular morphology, and/or cell swelling. Although the absorbance
spectra for oxy- and deoxyhemoglobin extend into the 850-nm range, the
light scattering component of the signal at this wavelength is
significantly larger than the absorbance due to either oxy- or
deoxyhemoglobin. Therefore it is generally assumed that changes in
hemoglobin oxygenation contribute negligibly to the signal at 850 nm
(Narayan et al. 1995
, Nemoto et al.
1999
).
The left whisker C1 was mechanically deflected using a motorized
whisker nudger, while left forelimb digits 3-5 were vibrated with a
piezoelectric device (Narayan et al. 1994
). The 8-V
electromechanical motorized whisker nudger had an angle of deflection
of approximately 30° and was driven at 10 Hz, 80V. Velocity of
whisker deflection was 1.2 m/s in an anterior to posterior direction.
Forelimb stimulus intensity driving the vibratory device was set at 80 Hz, 150 V.1
Stimulus duration was either 1.5 or 3.0 s (see following text). Frequency, duration, voltage, and other stimulus parameters were controlled with a Grass stimulator (model 888, Quincy, MA). Images were
collected and digitized on an IBM personal computer (PC) and analyzed
on PC and Macintosh computers and/or sent via network to a UNIX
workstation for data analysis.
Images were collected before, during, and after lone whisker, lone
forelimb, or staggered whisker and forelimb stimulation. During the
staggered-stimulation condition, OIS images were obtained in barrel
cortex before, during, and after staggered stimulation of whisker and
forelimb (Fig. 2). Forelimb stimulation occurred either immediately
before (forelimb-whisker condition) or immediately after
(whisker-forelimb condition) whisker stimulation. Stimulus duration was
adjusted so that although the whisker and forelimb stimuli themselves
did not overlap, the vascular response curves were still temporally
overlapping (Cannestra et al. 1996
). During staggered
stimulation, each of the two stimuli lasted 1.5 s, for a total of
3.0 s of stimulation. An average OIS response to 1.5-s whisker
stimulation lasts approximately 4-5 s, peaking at 2.0-2.5 s following
stimulus onset (Fig. 3A) (see
Cannestra et al. 1996
for more detailed description of
OIS response time course). Thus onset of the second stimulus preceded
the OIS response peak of the first stimulus, while the peak of the
second stimulus occurred just before the first stimulus OIS response
returned to baseline. For comparison, the lone whisker was stimulated
for both 1.5 and 3.0 s, and lone forelimb was stimulated for
1.5 s; 1.5 whisker stimulation was used as the main comparison
with staggered stimulation so that whisker stimulation time was
identical between conditions. The only difference was addition of the
forelimb stimulation. As an additional control stimulus, and for
replication of previous findings (Blood and Toga 1998
),
whisker and forelimb were stimulated simultaneously (whisker/forelimb)
for 1.5 s.
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Data were collected for each stimulus condition in groups of three
subtrials which, when averaged across time epochs (see Data
analysis), comprised one trial. During each subtrial, images were
collected every 150 ms for 8.25 s for a total of 55 image frames.
Camera exposure time for each frame was 50 ms. There were 30-s
intervals between all subtrials and trials to allow cortical activity
to return to baseline. Trials were acquired in groups of six,
comprising one trial set (see Blood et al. 1998
): 1.5-s lone-whisker stimulation; staggered whisker-forelimb stimulation; staggered forelimb-whisker stimulation; lone forelimb stimulation; 3.0-s whisker stimulation; and simultaneous whisker/forelimb
stimulation. Data for each trial set were collected within a time
period less than 1 h to minimize variations in anesthetic level.
Stimulus conditions within each trial set were presented pseudorandomly to ensure that there were no order or "learning" effects. Trial sets were used to counterbalance stimulus conditions across time and to
make the desired comparisons within a given period of time; subjects
had no way of knowing when one trial set ended and the next began. Thus
each stimulus was equally likely to occur at any time, and there was no
possible way that subjects could anticipate an upcoming condition. To
add a further element of randomization, as well as to keep trial sets
within the designated 1-h period, 5 of the 16 trial sets included in
the study did not include all six stimulus conditions; however, all
trial sets included the 1.5-lone -whisker, whisker-forelimb, and
forelimb-whisker conditions.
Following OIS data collection, EPs were recorded from barrel cortex in three OIS subjects to verify that there were no changes in barrel cortex field potentials with addition of the forelimb stimulus. EPs were chosen as the most appropriate comparative measurement of electrical activity in this study because OIS measures activity over broad regions rather than from individual neurons.
To measure EPs, a craniotomy was performed over barrel cortex to allow
electrode insertion. Recordings were made from just below the surface
of the cortex using SNEX-200 bipolar electrodes with 100-µm tip
diameter (Rhodes Medical, CA). Electrodes were placed in
stereotaxically defined coordinates corresponding to barrel C1
(Chapin and Lin 1984
). Additional measurements also were
made in a 3 × 3 grid at 1-mm intervals around the C1 barrel. EPs
were averaged using a Nicolet model 527 signal averager (Nicolet Instrument, Madison, WI), and recorded with a Model 7D polygraph (Grass Instruments).
EPs were measured from barrel cortex during each of the following stimulation periods: during 1.5-s lone-whisker stimulation, during whisker stimulation in the forelimb-whisker condition, during forelimb stimulation in the whisker-forelimb condition, during lone forelimb, and during simultaneous whisker/forelimb stimulation. Eight traces were averaged for each condition. Note that in staggered-stimulation conditions, EPs were measured during the second stimulus only (during forelimb stimulation in the whisker-forelimb condition and during whisker stimulation in the forelimb-whisker condition). Because there was no temporal overlap of the staggered whisker and forelimb stimuli, the first stimulus in the staggered-stimulation conditions was identical to the lone-whisker or lone forelimb stimulation conditions; thus these measurements did not provide any further information and were not included. The objective of the EP measurements was to determine first whether barrel cortex EPs observed during lone-whisker stimulation were altered when a forelimb stimulus preceded whisker stimulation and, second, whether there were any detectable barrel cortex EPs during forelimb stimulation that had been preceded by whisker stimulation. These questions were answered entirely by measurement of EPs during the second stimulus in staggered-stimulation conditions.
Data analysis
OIS IMAGES.
Ratio subtraction images (Blood and Toga 1998
;
Blood et al. 1995
) were calculated for each subtrial and
the three subtrials in each trial were averaged to increase
signal-to-noise ratio. Similar to our previous study (Blood and
Toga 1998
), there were spatially distinct OIS responses in
barrel and forelimb SI regions (Fig. 1D). We analyzed time
course, magnitude, and spatial extent in these two regions separately
by dividing raw images between the major anteromedial and
posterolateral arterioles of the MCA which overlie forelimb SI and
barrel cortex, respectively (Fig. 1A) (Cox et al.
1993
). This division clearly separated barrel and forelimb SI
regions as defined by stereotaxic coordinates (Chapin and Lin
1984
). This division was made for each subject, and then used
to create masks to isolate either the barrel cortex region or the
forelimb SI region for all subsequent time course, magnitude, and
spatial extent analyses in that subject. As noted earlier, it was not
possible to include the entire forelimb SI region in the camera field
of view and thus only time course was analyzed in this region. While
there was some variation in the exact configuration of vascular anatomy
between subjects, the major anteromedial and posterolateral MCA
arterioles could be observed in all subjects. The posterolateral
arteriole, feeding barrel cortex, bifurcated into at least two
additional branches (1 medial and 1 lateral) in all subjects as well
(Fig. 1B).
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(1) |
i, where
i = 1-11) and eigenvectors
(V
i) were determined by the
Jacobi transformations technique.
Choosing the significant eigenvectors.
Once the V
i's were
determined, the significant
V
i's were chosen dependent
on the SNR of the images. When the SNR was high, the
i's with the single largest order of
magnitude were used to select the
V
i's. This calculation
yielded a correlation constant, the lowest of which indicated the best
fit to the established time course curve and therefore the appropriate
V
i.
Reconstruction of the image data set.
The matrix [XS] was then reconstructed by
summing the contributions of each significant
V
i at each pixel
|
(2) |
2 and
V
3, m = 2 and
n = 3). [XR] was
then decomposed into the original data set by separating the columns of
matrix [XR] into individual 192 × 144 images.
In the present study, the first component of the PCA analysis was used
to extract the time course of the OIS signal (expressed as percentage
of maximum signal over time) in barrel cortex and forelimb SI regions.
Time courses from each of the two regions were averaged separately for
each stimulus condition within and across subjects, then graphed and
compared across conditions. Mean OIS response time-to-peak values for
each condition were determined from the time corresponding to the frame
of peak average PCA value. Peak times for individual trials were
compared using a one-way ANOVA to determine if there was a significant
effect of stimulation condition (whisker, whisker-forelimb,
forelimb-whisker) on OIS response time to peak. Paired
t-tests were also used to compare individual trial values of
OIS response time to peak between the lone-whisker conditions and each
staggered-stimulation condition, separately. Values were paired within
each trial set to compare relative differences between conditions.
OIS response magnitude was compared between conditions using the
statistically defined region of interest (ROI) analysis described in
detail in our previous papers (Blood and Toga 1998EVOKED POTENTIALS. EP response amplitude and timing across the 3 × 3 grid were compared between staggered-stimulation and 1.5-s lone-whisker or forelimb conditions and between EP and OIS techniques.
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RESULTS |
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Staggered forelimb stimulation altered temporal, magnitude, and
spatial extent properties of barrel cortex OIS responses to whisker
stimulation in the absence of detectable changes in underlying EPs. OIS
response time course in barrel cortex was dramatically broadened during
staggered stimulation, and OIS response peaks were temporally shifted
toward the relative time of forelimb stimulation. Barrel cortex peak
OIS response magnitude and spatial extent were significantly greater in
the staggered-stimulation conditions compared with lone-whisker
controls. Barrel cortex OIS response time courses in
staggered-stimulation conditions were highly correlated with the sum of
barrel cortex OIS response time courses in lone-whisker and forelimb
conditions. No significant changes in time course were observed in
forelimb SI OIS responses during staggered stimulation. Similar to our
previous study (Blood and Toga 1998
), distinct OIS
responses were observed in barrel cortex and forelimb SI regions, corresponding to whisker or forelimb stimulation, respectively (Fig.
1D). As also seen in our previous study, OIS responses were often observed in the barrel cortex region, as well as in forelimb SI,
during forelimb stimulation. As in our previous study (Blood and
Toga 1998
), OIS response intensity was greatest over branches of the MCA.
OIS response time course in barrel cortex
Overall OIS response time course in barrel cortex was dramatically
broadened in the temporal direction of the forelimb stimulus in both
staggered-stimulation conditions (Figs. 3 and
4). Furthermore, time-to-peak OIS
response as defined by PCA analysis was either shortened or delayed
relative to whisker stimulation onset, depending on whether forelimb
stimulation occurred before or after whisker stimulation, respectively
(Table 1). When whisker C1 was
stimulated independently for 1.5 s, average OIS response time to
peak in barrel cortex was 2.10 s (relative to stimulus onset).
During the forelimb-whisker stimulation condition, this time to peak was 1.50 s following whisker stimulus onset (600 ms earlier), whereas in the whisker-forelimb condition it was 3.3 s (1,200 ms
later). A one-way ANOVA showed a significant effect of stimulus condition (1.5-s lone whisker, whisker-forelimb, forelimb-whisker) on
OIS response time to peak (F = 44.590;
P < 0.0001). When OIS response time to peak for
individual trials was paired within trial sets and compared between
1.5-s lone-whisker and staggered-stimulation conditions, these
differences were statistically significant both for 1.5 s lone
whisker versus whisker-forelimb and for 1.5 s lone whisker versus
whisker-forelimb (t =
4.58 for lone whisker vs. whisker-forelimb, P < 0.001, 2-tailed; t = 9.79 for lone whisker vs. forelimb-whisker, P < 0.0001, 2-tailed; paired t-tests). Note that these effects
on time course were very consistent: SEs were small and quite similar
between 1.5-s lone-whisker and staggered-stimulation conditions (Fig.
4). SD of individual time-to-peak values (Table 1) was also consistent
between whisker and staggered-stimulation conditions.
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We also compared OIS response time to peak for the 3.0-s whisker stimulation condition with staggered-stimulation conditions. A one-way ANOVA showed a significant effect of stimulus condition (3.0-s lone whisker, whisker-forelimb, forelimb-whisker) on OIS response time to peak (F = 18.010; P < 0.001). When OIS time to peak for individual trials was paired within trial sets and compared between 3.0-s lone-whisker and staggered-stimulation conditions, the difference between 3.0-s lone whisker versus forelimb-whisker time to peak was statistically significant (P < 0.01, 2-tailed; paired t-test).
When OIS response time to peak was compared between 1.5- and 3.0-s lone-whisker stimulation conditions, there was no significant difference between conditions. There was also no significant difference in OIS response time to peak between simultaneous whisker/forelimb and 1.5-s lone-whisker stimulation conditions. Finally, there was no significant difference in OIS response time to peak between 1.5-s lone-whisker and 1.5-s forelimb stimulation conditions.
As a complementary analysis, ROI magnitude analysis was used to
identify the peak barrel cortex OIS response frame for 1.5-s lone-whisker and staggered-stimulation conditions. Using this analysis,
average time to peak for the 1.5-s lone-whisker condition was 2.40 ± 0.099 (SD) s. Average time to peak for the staggered whisker-forelimb condition was 3.39 ± 0.200 s. Average time to peak for the staggered forelimb-whisker condition was 1.50 ± 0.279 s. There was a significant effect of stimulus condition on time to peak (ANOVA: F = 74.4; P < 0.0001).
Time to peak for the 1.5-s lone-whisker condition was also
significantly different from time to peak in both the whisker-forelimb
(t =
7.26; P < 0.0001) and forelimb-whisker (t = 5.86; P < 0.0001) conditions.
OIS response magnitude in barrel cortex
We calculated magnitude differences in barrel cortex OIS responses
between 1.5-s lone-whisker and staggered-stimulation conditions as a
comparison with overall magnitude decreases observed previously during
simultaneous whisker/forelimb stimulation (Blood and Toga 1998
). During both staggered-stimulation conditions, OIS
magnitude increased relative to the 1.5-s lone-whisker condition.
Average peak magnitude following 1.5-s lone-whisker stimulation,
staggered whisker-forelimb, and staggered forelimb-whisker stimulation
was, respectively, 2.986 × 10
3,
3.533 × 10
3, and 3.759 × 10
3 reflectance decrease from unstimulated
baseline (Fig. 5A). A one-way
ANOVA showed a significant effect of stimulus condition (1.5-s lone
whisker, whisker-forelimb, forelimb-whisker) on OIS response magnitude
(F = 3.345; P < 0.05). When OIS
response magnitude for individual trials was paired within trial sets
and compared between 1.5-s lone-whisker and staggered-stimulation
conditions, these differences were statistically significant both for
1.5-s lone whisker versus whisker-forelimb and for 1.5-s lone-whisker versus whisker-forelimb (P < 0.05, 2-tailed; paired
t-tests). Replicating previous findings, barrel cortex OIS
responses were frequently observed during lone forelimb stimulation
(Figs. 3D and 6), and were not
accompanied by detectable EPs in barrel cortex (see following text).
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The effect of staggered stimulation on OIS response magnitude was robust: on average, magnitude increased approximately 20% between 1.5-s lone-whisker and staggered conditions. Even low-magnitude late-onset OIS responses to whisker stimulation were enhanced by staggered forelimb stimulation. In Fig. 3B, for example, the OIS response to whisker stimulation is quite faint and begins later than the OIS response to lone-whisker stimulation in Fig. 3A (note that this initial difference in time course between 3, A and B, occurred before forelimb stimulus onset). After forelimb stimulus onset, however, the barrel cortex OIS response in Fig. 3B increased to a magnitude much greater than that following lone-whisker stimulation in Fig. 3A, and extended temporally beyond Fig. 3A as well.
When PCA curves were multiplied by peak OIS response magnitude for each trial, summated for lone stimulation conditions, and compared with similar curves from each of the staggered-stimulation conditions, there was a high degree of similarity between the curves (Fig. 7). The correlation coefficient for the whisker-forelimb condition was r = 0.898 (Fig. 7A) and for the forelimb-whisker condition was r = 0.895 (Fig. 7B). In the whisker-forelimb condition, however, there was a slight delay in the early part of the time course in comparison to the summated lone condition response curves (Fig. 7A) that was not observed in either the lone-whisker condition or the summated lone-whisker and lone forelimb curves.
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Magnitude in the staggered-stimulation conditions was not significantly
different from the summation of lone-whisker and forelimb magnitude at
whisker-forelimb or forelimb-whisker peak response time points.
However, magnitude at the time point of the lone-whisker peak in the
whisker-forelimb condition was significantly different from (less than)
magnitude of summated lone-whisker and lone forelimb responses
(P < 0.05; t = 2.70), consistent with
the time course lag seen in this condition in the previous paragraph
(Fig. 7A). This difference was not significant at whisker
peak time in the forelimb-whisker condition. Average magnitude of
responses in the whisker-forelimb condition at the time of the
whisker-forelimb peak was 2.20 × 10
3 ± 0.748 × 10
3 reflectance decrease from
unstimulated baseline, and the sum of whisker and forelimb responses at
corresponding time points was 2.43 × 10
3 ± 0.983 × 10
3 reflectance decrease from
unstimulated baseline. Average magnitude of responses in the
forelimb-whisker condition at the time of the forelimb-whisker peak was
2.71 × 10
3 ± 0.590 × 10
3 reflectance decrease from unstimulated
baseline, and the sum of whisker and forelimb responses at
corresponding time points was 2.53 × 10
3 ± 1.04 × 10
3 reflectance decrease from
unstimulated baseline. Average magnitude of responses in the
whisker-forelimb condition at the time of the lone-whisker peak was
1.52 × 10
3 ± 0.730 × 10
3 reflectance decrease from unstimulated
baseline, and the sum of whisker and forelimb responses at
corresponding time points was 2.45 × 10
3 ± 0.747 × 10
3 reflectance decrease from
unstimulated baseline. Average magnitude of responses in the
forelimb-whisker condition at the time of the lone-whisker peak was
2.24 × 10
3 ± 0.760 × 10
3 reflectance decrease from unstimulated
baseline, and the sum of whisker and forelimb responses at
corresponding time points was 2.89 × 10
3 ± 0.986 × 10
3 reflectance decrease from
unstimulated baseline.
OIS response morphology and spatial extent in barrel cortex
OIS RESPONSE MORPHOLOGY.
In all stimulation conditions, OIS signal intensity was greatest over
MCA branches (compare raw images and OIS responses in Figs. 3 and 6).
OIS responses to whisker stimulation were usually observed over at
least two branches of the posterolateral MCA arteriole (Figs. 3 and 6)
as observed in our previous studies (Blood and Toga
1998
; Blood et al. 1995
). In most cases,
staggered stimulation led to broadened time courses and magnitude
increases over both a more medial and the most lateral of these
branches (compare Figs. 6, A with B and
C; and 3, A with C). OIS responses were sometimes uniform over both branches (Fig. 6, A vs.
B), but often they were greater over the more lateral branch
(Fig. 3, A vs. B and C). Barrel cortex
OIS responses during forelimb stimulation also occurred more often,
although not exclusively, over the more lateral of these two branches
(Figs. 3D and 6D).
OIS SPATIAL EXTENT. In the 1.5-s lone-whisker, staggered whisker-forelimb, and staggered forelimb-whisker stimulation conditions, average peak spatial extent as defined using magnitude ROIs (number of pixels in the ROI) was, respectively, 3,700, 4,174, and 3,760. A one-way ANOVA indicated that the effects of stimulus condition on spatial extent were just under significance (F = 3.09; P < 0.0554). In contrast, there was a significant effect of stimulus condition on spatial extent as defined using area ROIs (examples of magnitude and area ROIs from 2 different subjects can be seen in Figs. 3 and 6). In the 1.5-s lone-whisker, staggered whisker-forelimb, staggered forelimb-whisker, and simultaneous whisker/forelimb stimulation conditions, average peak spatial extent of area ROIs (number of pixels in the ROI) was, respectively, 3,780, 9,381, 10,369, and 8,009 (Fig. 8). A one-way ANOVA showed a significant effect of stimulus condition (1.5-s lone whisker, whisker-forelimb, forelimb-whisker) on OIS response spatial extent (F = 6.030; P < 0.01). When OIS response spatial extent for individual trials was paired within trial sets and compared between 1.5-s lone-whisker and staggered-stimulation conditions, these differences were statistically significant both for 1.5-s lone whisker versus whisker-forelimb, and for 1.5-s lone whisker versus whisker-forelimb (P < 0.01, 2-tailed; paired t-tests). Spatial extent as defined using area ROIs was also significantly different between 1.5-s lone-whisker and simultaneous whisker/forelimb conditions (P < 0.05, 2-tailed; paired t-test).
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EPs in barrel cortex
Because OIS measures activity over broad regions, rather than individual neurons, EPs were chosen as the most appropriate comparative measurement of electrical activity in this study. In contrast to OIS responses, no quantitative or qualitative EP amplitude or timing changes were observed in barrel C1 or the surrounding 3 × 3 grid when a temporally staggered forelimb stimulus was added before or after the whisker stimulus. Figures 6 and 8 show examples of EP measurements from two different subjects. Note that EPs were measured during the second stimulus only in staggered-stimulation conditions (forelimb stimulation in the whisker-forelimb condition and whisker stimulation in the forelimb-whisker condition).
There were no changes in amplitude or timing of barrel cortex EPs
during whisker stimulation in the forelimb-whisker condition, relative
to the 1.5-s lone-whisker condition. There were also no detectable EPs
in barrel cortex during forelimb stimulation, either alone or during
the forelimb stimulus in the whisker-forelimb condition. Replicating
our previous findings (Blood and Toga 1998
), EP
responses in barrel cortex decreased relative to 1.5-s lone-whisker stimulation during simultaneous whisker/forelimb stimulation.
EP response amplitude was in the range of 50-150 µV, and the time
course of EP responses was approximately 100-ms duration with an
average latency of approximately 10 ms. Similar to our previous studies
(Blood and Toga 1998
; Narayan et al.
1994
), the maximal EP response amplitude was always seen at the
middle (C1) recording electrode, and there was very little EP activity
in the surrounding 3 × 3 grids (Fig.
9). Although there was a small amplitude
EP response at electrode 8 in Fig. 9, this response was similar during
lone-whisker and staggered forelimb-whisker conditions.
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OIS responses in forelimb SI
While forelimb responses could not be fully observed or quantified due to the camera position, OIS response time course in the portions of forelimb SI included in the images was not significantly different between lone-forelimb and staggered-stimulation conditions. Time-course changes observed in forelimb SI following staggered-stimulation conditions were very small (Table 1, Fig. 10). When whisker stimulation followed forelimb stimulation, OIS responses in forelimb SI peaked, on average, at the same time as OIS responses to lone forelimb stimulation. When whisker stimulation preceded forelimb stimulation, average OIS responses in forelimb SI peaked only 150 ms earlier than following lone-forelimb stimulation. A very slight broadening of OIS response curves in forelimb SI was detectable during staggered stimulation, but this broadening was considerably less than that observed in barrel cortex. In addition, no significant forelimb OIS responses were observed following lone-whisker stimulation. In some particular cases, however, forelimb SI response magnitude appeared to increase with staggered stimulation in a pattern similar to that seen in barrel cortex (compare Fig. 6, B-D).
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DISCUSSION |
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Temporal, magnitude, and spatial properties of barrel cortex OIS responses were modulated by nonoverlapping forelimb stimulation, in the absence of detectable changes in barrel cortex EPs. Barrel cortex OIS response time courses broadened, OIS response peaks shifted temporally in the direction of the forelimb stimulus, and OIS response magnitude and spatial extent increased significantly during staggered stimulation relative to lone-whisker stimulation. The high degree of correlation between magnitude response curves in staggered-stimulation conditions and summated lone-whisker and forelimb curves suggests that when stimuli do not overlap temporally, modulation of response properties by vascular overspill occurs in an approximately linear fashion. Together, these data provide further evidence for uncoupling of vascular and electrophysiological responses in barrel cortex.
Time-course broadening and magnitude increases in the absence of electrophysiological changes suggest that passive vascular overspill may have been the physiological mechanism underlying modulation of OIS response properties in barrel cortex. We hypothesize that vascular responses functionally recruited to forelimb SI overspilled into MCA branches overlying barrel cortex. Because neural activity in barrel cortex and/or forelimb SI may have triggered neural activity in SII, it is also possible that overspill originated from vascular responses recruited to SII. In either case, vascular overspill crossed functional boundaries: in the first case within SI and in the second case between SI and SII.
While it cannot be ruled out that neural activity in SII enhanced the OIS response in barrel cortex to some degree, we believe that this was not the only source of enhancement because in most cases, activity increased over the medial as well as the more lateral branch of the posterolateral MCA arteriole feeding barrel cortex (see Figs. 3, A vs. C, and 6, A vs. B and C). It is unlikely that this medial branch feeds SII. Another possibility that must be considered is that activity in SII altered barrel cortex activity itself, resulting in increased OIS response magnitude over the more medial branch. However, this scenario is not consistent with the absence of changes in EP responses during these conditions.
Mechanisms of overspill
What previous evidence is there for mechanisms of passive vascular overspill and how might these mechanisms have influenced OIS responses in this particular study?
Vascular anatomical and morphological characteristics are fundamental
to the concept of vascular overspill. While brain capillaries are known
to be organized in functional modules with high spatial resolution,
arterioles that feed and venules that drain these regions may be
somewhat spatially unrelated to specific neuronal units. For example,
Cox et al. (1993)
and Woolsey et al.
(1996)
have described that, while there are capillary tufts
which are highly localized to individual whisker