Lindsay R Walton1, Nick G Boustead1, Susan Carroll1, R Mark Wightman1,2. 1. Department of Chemistry, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599, United States. 2. Neuroscience Center, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599, United States.
Abstract
Glutamate is ubiquitous throughout the brain and serves as the primary excitatory neurotransmitter. Neurons require energy to fire, and energetic substrates (i.e., O2, glucose) are renewed via cerebral blood flow (CBF) to maintain metabolic homeostasis. Magnetic resonance brain functionality studies rely on the assumption that CBF and neuronal activity are coupled consistently throughout the brain; however, the origin of neuronal activity does not always coincide with signals indicative of energy consumption (e.g., O2 decreases) at high spatial resolutions. Therefore, relationships between excitatory neurotransmission and energy use must be evaluated at higher resolutions. In this study, we showed that both endogenously released and exogenously ejected glutamate decrease local tissue O2 concentrations, but whether hyperemic O2 restoration followed depended on the stimulus method. Electrically stimulating the glutamatergic corticostriatal pathway evoked biphasic O2 responses at striatal terminals: first O2 decreased, then concentrations increased above baseline. Using iontophoresis to locally eject ionotropic glutamate receptor antagonists revealed that these receptors only influenced the O2 decrease. We compared electrical stimulation to iontophoretic glutamate stimulation, and measured concurrent single-unit activity and O2 to limit both stimulation and recordings to <50 μm radius from our sensor. Similarly, iontophoretic glutamate delivery elicited monophasic O2 decreases without subsequent increases.
Glutamate is ubiquitous throughout the brain and serves as the primary excitatory neurotransmitter. Neurons require energy to fire, and energetic substrates (i.e., O2, glucose) are renewed via cerebral blood flow (CBF) to maintain metabolic homeostasis. Magnetic resonance brain functionality studies rely on the assumption that CBF and neuronal activity are coupled consistently throughout the brain; however, the origin of neuronal activity does not always coincide with signals indicative of energy consumption (e.g., O2 decreases) at high spatial resolutions. Therefore, relationships between excitatory neurotransmission and energy use must be evaluated at higher resolutions. In this study, we showed that both endogenously released and exogenously ejected glutamate decrease local tissue O2 concentrations, but whether hyperemicO2 restoration followed depended on the stimulus method. Electrically stimulating the glutamatergic corticostriatal pathway evoked biphasic O2 responses at striatal terminals: first O2 decreased, then concentrations increased above baseline. Using iontophoresis to locally eject ionotropic glutamate receptor antagonists revealed that these receptors only influenced the O2 decrease. We compared electrical stimulation to iontophoreticglutamate stimulation, and measured concurrent single-unit activity and O2 to limit both stimulation and recordings to <50 μm radius from our sensor. Similarly, iontophoreticglutamate delivery elicited monophasic O2 decreases without subsequent increases.
Despite accounting
for a small portion of total body mass, the
brain uses a disproportionately large percentage of the body’s
resting energy. This discrepancy arises from the energetically expensive
demands of neuronal communication and the maintenance of ionic gradients.[1] Metabolic substrates (i.e., glucose and O2) are replenished after neuronal activity via increased regional
cerebral blood flow (CBF), where they are consumed to generate adenosine
triphosphate (ATP) and reestablish ion gradients. To maintain energetic
homeostasis, neuronal activity is typically coupled with increased
CBF in a process termed functional hyperemia.[2] However, dysfunctional decoupling of neuronal activity and CBF can
lead to chronic energy deficits where blood flow cannot replenish
the energy consumed during neurotransmission. With insufficient energy,
ionic gradients collapse, often leading to neuronal death.[3] However, CBF delivery is not exclusively controlled
by metabolic deficiencies, as the amplitudes of task-evoked CBF increases
are maintained when the same task is performed under hypoglycemic
or hypoxic conditions.[4,5] Further, although CBF delivers
excess O2 to overcompensate for energy loss, the O2 concentrations delivered vary depending on stimulus type
and intensity.[6−8] Together, these suggest that neuronal activity and
metabolic deficits play complex roles in the regulation of energy
throughout the brain.Often, CBF is measured indirectly by monitoring
extracellular O2 concentrations, where increases in O2 can be attributed
to hyperemic increases in blood flow. This is the basis for blood
oxygenation level-dependent (BOLD) functional magnetic resonance imaging
(fMRI);[9] however, positive BOLD fMRI signals
(i.e., increases in oxygenated blood) only infer the presence of increased
neural activity.[10] Fast-scan cyclic voltammetry
(FSCV) also measures O2 changes, but the carbon-fiber microelectrodes
used with the technique limit analyte detection to a range within
a 20 μm radius of the electrode surface.[11−13] As with BOLD,
these electrochemical measurements also do not provide information
about neuronal activity. Previously, we used a multimodal sensor to
perform simultaneous FSCV and single-unit electrophysiology.[14] Here, we utilize a different voltammetric waveform
at our sensor to study colocalized O2 dynamics in conjunction
with cell firing. This approach uses a single, minimally invasive
carbon-fiber microelectrode and enables simultaneous detection of
both neuronal activity and O2 changes in localized environments.
Further, we coupled iontophoresis, a local drug delivery method, to
FSCV and electrophysiology at the same sensor to form a comprehensive
suite of techniques suited for spatially focused functional hyperemia
studies.[15] Using iontophoresis to eject
glutamate, an excitatory neurotransmitter, stimulated local neuronal
firing in anesthetized subjects and gave us a high degree of control
over the cell activity proximal to our sensor.[16−18] Together, we
used our multimodal sensor to stimulate and measure neuronal firing
and the subsequent O2 changes within a <50 μm
radius of brain tissue.In this study, we compared the effects
of electrically stimulated
glutamate versus local glutamate iontophoresis on O2 dynamics
between the striatum and somatosensory cortex. We first elicited endogenous
glutamate release via electrically stimulating the prefrontal cortex
(PFC) and found that striatal O2 concentrations both increased
and decreased in a manner dependent on stimulation intensity and the
availability of ionotropic glutamate receptors (iGluRs). In contrast,
glutamate ejected locally within the striatum evoked either O2 decreases exclusively or did not change local O2 concentrations. The ejection method, controlled iontophoresis, uses
current to deliver solution aliquots on the order of femto- to picomoles
and measures the solution delivery.[19] Previously,
we showed that iontophoresis ejection currents themselves do not influence
cell firing (i.e., ejecting NaCl) but that glutamate iontophoresis
has the intended excitatory effect of eliciting cell firing.[20] Finally, we compared glutamate iontophoresis
evoked changes in O2 and cell firing between cortical and
striatal locations. The majority of recording locations responded
to glutamate iontophoresis with increased cell firing and subsequent
O2 decreases; however, exceptions were found in both cortex
and striatum. Together, these data show that global, electrically
evoked glutamate release and local, chemically specific glutamatergic
excitation produce dissimilar O2 changes and that neuronal
firing does not always couple to O2 use throughout the
cortex and striatum.
Glutamatergic neurons
project from the PFC to medium spiny neurons (MSNs) in the striatum.[21,22] We recorded O2 changes at locations where glutamate iontophoresis
elicited single-unit activity, that is, near the soma of glutamate-sensitive
cells (Figure A).
Unit activity was evoked during the glutamate ejection and ceased
upon stimulation termination (Figure A). These cells were classified as MSNs, which account
for over 90% of the cells in the striatum,[23] based on their waveform shapes and low firing rates (Figure A). Next, we electrically stimulated
the PFC to drive glutamate release in the striatum (Figure B) and recorded subsequent
O2 changes at glutamate-sensitive neurons. Electrical stimulations
interfered with electrophysiological recordings, so we were unable
to assess the single-unit activity during PFC stimulations. With FSCV,
we observed robust, reproducible O2 responses that consisted
of two distinct phases: the first, event 1, was a decrease in O2, followed by an O2 increase to above baseline
values, termed event 2 (Figure C). These biphasic responses were consistent with poststimulus
O2 changes observed both locally using amperometry at microelectrodes[8,24] and globally with BOLD fMRI.[8,10,24] By comparison, 2 s glutamate iontophoresis ejections in the same
locations evoked O2 decreases of a similar magnitude as
the electrical stimulations but failed to ever produce an event 2
(Figure D).
Figure 1
Electrically
stimulated glutamatergic cell bodies in the PFC elicit
biphasic O2 changes in the striatum. (A) (i) The multimodal
sensor ejected glutamate iontophoretically to determine proximity
to glutamate-sensitive cells (e.g., medium spiny neuron, MSN). Sensor
barrel diameters and carbon-fiber length not to scale. (ii) Four replicate
perievent rasters, where each black tic represents a recorded single-unit
action potential. In anesthetized subjects, glutamate ejections (gray
box) evoked single-unit activity bursts that ceased soon after the
ejection. (iii) Averaged single-unit waveform of the unit isolated
in panel A, part ii. (B) Sagittal view of the chosen stimulated glutamatergic
pathway. A bipolar stimulating electrode was placed into the PFC (blue)
and a multimodal sensor was inserted into the dorsal striatum (orange).
(C) (top) Current taken at the O2 reduction potential (−1.35
V, horizontal dotted line in color plot below) tracked the time course
of O2 changes from the representative color plot below.
First, O2 decreased during the stimulation (event 1) and
subsequently increased above baseline following electrical stimulation
(event 2). Cyclic voltammograms from each event (insets, each taken
from horizontal white lines in color plot below) confirmed the identity
of O2, with background subtraction taken at the color plot
black dashed line. Slight hysteresis was attributed to concomitant
endogenous ion fluctuations. (bottom) Color plot representation of
cyclic voltammetry data recorded around a 100 pulse, 20 Hz, 300 μA
electrical stimulation as indicated by the gray bar. Abscissa, applied
voltage; ordinate, acquisition time of the cyclic voltammograms. Background-subtracted
currents are color coded. (D) Averaged O2 changes evoked
from 2 s glutamate iontophoresis ejections at the glutamate-sensitive
striatal cells before the first electrical stimulation and 10 min
after the last electrical stimulation (n = 6). Shading
indicates −SEM. (E) Experimental paradigm for assessing local
striatal iGluR influence over O2. PFC cell bodies were
electrically stimulated after a cocktail of AP5 (50 mM) and CNQX (10
mM) was ejected at striatal terminals for 60 s. (F) Event 1 was significantly
attenuated (**P = 0.001, Student’s t test) under iGluR blockade in the striatum. Error bars
indicate +SEM.
Electrically
stimulated glutamatergic cell bodies in the PFC elicit
biphasic O2 changes in the striatum. (A) (i) The multimodal
sensor ejected glutamate iontophoretically to determine proximity
to glutamate-sensitive cells (e.g., medium spiny neuron, MSN). Sensor
barrel diameters and carbon-fiber length not to scale. (ii) Four replicate
perievent rasters, where each black tic represents a recorded single-unit
action potential. In anesthetized subjects, glutamate ejections (gray
box) evoked single-unit activity bursts that ceased soon after the
ejection. (iii) Averaged single-unit waveform of the unit isolated
in panel A, part ii. (B) Sagittal view of the chosen stimulated glutamatergic
pathway. A bipolar stimulating electrode was placed into the PFC (blue)
and a multimodal sensor was inserted into the dorsal striatum (orange).
(C) (top) Current taken at the O2 reduction potential (−1.35
V, horizontal dotted line in color plot below) tracked the time course
of O2 changes from the representative color plot below.
First, O2 decreased during the stimulation (event 1) and
subsequently increased above baseline following electrical stimulation
(event 2). Cyclic voltammograms from each event (insets, each taken
from horizontal white lines in color plot below) confirmed the identity
of O2, with background subtraction taken at the color plot
black dashed line. Slight hysteresis was attributed to concomitant
endogenous ion fluctuations. (bottom) Color plot representation of
cyclic voltammetry data recorded around a 100 pulse, 20 Hz, 300 μA
electrical stimulation as indicated by the gray bar. Abscissa, applied
voltage; ordinate, acquisition time of the cyclic voltammograms. Background-subtracted
currents are color coded. (D) Averaged O2 changes evoked
from 2 s glutamate iontophoresis ejections at the glutamate-sensitive
striatal cells before the first electrical stimulation and 10 min
after the last electrical stimulation (n = 6). Shading
indicates −SEM. (E) Experimental paradigm for assessing local
striatal iGluR influence over O2. PFC cell bodies were
electrically stimulated after a cocktail of AP5 (50 mM) and CNQX (10
mM) was ejected at striatal terminals for 60 s. (F) Event 1 was significantly
attenuated (**P = 0.001, Student’s t test) under iGluR blockade in the striatum. Error bars
indicate +SEM.To confirm whether glutamatergic
neurotransmission was responsible
for the biphasic O2 response, we iontophoresed iGluR antagonists
for 60 s prior to electrical stimulation (Figure E). This was to achieve steady-state ejection
conditions and saturate the tissue within ∼100 μm of
our sensor.[25] After collecting a predrug
stimulation response, we delivered the NMDA receptor antagonist AP5
(50 mM) and the AMPA and kainate receptor antagonist CNQX (10 mM)
for 60 s from a single iontophoresis barrel attached to the carbon-fiber
electrode. After drug delivery, we stimulated the PFC again and compared
the striatal O2 changes before and after iGluR antagonism
(Figure F). We chose
a stimulation of 80 pulses delivered at 20 Hz, as this was the shortest
stimulation train capable of reliably eliciting biphasic O2 responses (Figure A,B). In all cases, the poststimulus O2 decrease (event
1) significantly diminished under local iGluR blockade to 44.8% ±
11.1% of predrug values (t(2,8) = 5.0, P = 0.001, n = 5; Figure F), while differences in event 2 amplitudes
were negligible. The attenuation of the evoked response with iGluR
antagonists confirmed that PFC stimulations released endogenous glutamate
into the striatum and indicated that local iGluR activation significantly
contributed to O2 decreases but not the overcompensating
O2 rebound.
Figure 2
PFC electrical stimulations controlled the biphasic O2 response in the striatum through the number of applied stimulation
pulses. (A) Current traces taken at the O2 reduction potential
were averaged (n = 6). The number of electrical stimulation
pulses used (p) are indicated to the right of the traces. Stimulation
frequency and amplitude were held constant at 20 Hz and 300 μA,
respectively. Gray bars indicate stimulation durations. Dotted lines
indicate ±SEM. (B) The relative occurrence of biphasic O2 responses to electrical stimulation increased with the number
of stimulus pulses. (C) The maximum poststimulus O2 decreases
(event 1) and increases (event 2) increased linearly (event 1, R2 = 0.990; event 2, R2 = 0.975) with the number of stimulus pulses. Monophasic data (i.e.,
decreased O2 responses that did not return to baseline
within 60 s) were excluded from plotted event 2 points. Data points
represent averaged triplicate responses from each location. Error
bars indicate ±SEM.
PFC electrical stimulations controlled the biphasic O2 response in the striatum through the number of applied stimulation
pulses. (A) Current traces taken at the O2 reduction potential
were averaged (n = 6). The number of electrical stimulation
pulses used (p) are indicated to the right of the traces. Stimulation
frequency and amplitude were held constant at 20 Hz and 300 μA,
respectively. Gray bars indicate stimulation durations. Dotted lines
indicate ±SEM. (B) The relative occurrence of biphasic O2 responses to electrical stimulation increased with the number
of stimulus pulses. (C) The maximum poststimulus O2 decreases
(event 1) and increases (event 2) increased linearly (event 1, R2 = 0.990; event 2, R2 = 0.975) with the number of stimulus pulses. Monophasic data (i.e.,
decreased O2 responses that did not return to baseline
within 60 s) were excluded from plotted event 2 points. Data points
represent averaged triplicate responses from each location. Error
bars indicate ±SEM.
Biphasic O2 Responses Depend on Electrical Stimulation
Parameters
We next investigated the dependence of the observed
O2 events on the stimulation parameters to explore what
stimulus was sufficient to elicit a biphasic, hyperemic response.
First, we kept stimulation frequencies and amplitudes constant at
20 Hz and 300 μA, respectively, and changed the number of stimulation
pulses from 10–100 pulses (Figure A). The number of locations that responded
with biphasic O2 changes increased with the number of stimulus
pulses (Figure B).
Furthermore, the relationship was linear between both biphasic event
amplitudes and the corresponding number of stimulation pulses (event
1, R2 = 0.990; event 2, R2 = 0.975, Figure C). All O2 changes from 10 pulse stimulations were
monophasic, so we omitted these data from the linear fit. This confirmed
that both mono- and biphasic O2 responses can be elicited
at the same location, identified a pulse-dependent stimulus threshold
that must be exceeded before biphasic responses occurred, and showed
a strong linear relationship between the number of stimulation pulses
and the resulting O2 event amplitudes.To ensure
that the pulse-dependent stimulus effects were not caused by an increase
in total stimulation length, we kept pulse numbers and amplitudes
constant (120 pulses and 300 μA, respectively) and tested 5–60
Hz frequencies. These frequencies did not affect either event 1 or
event 2 (when applicable) amplitudes or influence whether responses
were mono- or biphasic (Figure A,B). Despite consistent amplitude changes across different
frequencies, the time interval between stimulations and maximum O2 event changes significantly increased from higher to lower
frequency stimulations (one-way ANOVA, event 1, F(6,53) = 6.26, P = 0.0002; event 2, F(6,35) = 5.47, P = 0.003, Figure C). Bonferroni post
hoc analysis revealed significant differences in event 1 minima times
between both 5 and 10 Hz stimulations as compared to higher stimulation
frequencies (5 Hz, 13.6 ± 2.5 s; 10 Hz, 13.1 ± 1.0 s; 30
Hz, 6.5 ± 0.5 s; 40 Hz, 6.4 ± 0.8 s; and 60 Hz, 6.2 ±
0.5 s; 5 Hz versus 30, 40, and 60 Hz: P < 0.01
each, n = 6 each; 10 Hz versus 30 and 40 Hz: P < 0.05 each; 10 Hz versus 60 Hz: P < 0.01, n = 6 each, Figure C). Time differences between stimulations
and event 2 maxima (when present) also increased from 5 and 10 Hz
stimulation frequencies to 60 Hz (5 Hz, 33.1 ± 7.5 s, n = 2; 10 Hz, 30.8 ± 2.8 s, n = 4;
60 Hz, 18.6 ± 0.5 s; 5 and 10 Hz versus 60 Hz: P < 0.05 each, Figure C). These findings indicated that, without affecting O2 event magnitudes, low frequency stimuli increased the time
elapsed between electrical stimulations and both the maximum event
1 and event 2 O2 decreases and increases, respectively.
Figure 3
PFC stimulation
frequencies affected the time to reach maximal
O2 decreases (i.e., event 1) and subsequent maximal O2 increases (i.e., event 2) in the dorsal striatum. (A) Current
traces taken at the O2 reduction potential were averaged
(n = 6), with their respective stimulation frequencies
indicated to the right. The number of biphasic pulses applied and
their amplitudes were kept constant (80 pulses and 300 μA, respectively).
Gray bars indicate stimulation durations. Dotted lines indicate ±SEM.
(B) Stimulus frequency did not affect whether or not the responses
were biphasic. (C) The stimulus frequency affected the time to reach
maximum event 1 O2 decreases and the subsequent event 2
O2 increases. Monophasic O2 responses were excluded
from event 2 statistics. Error bars indicate ±SEM. Significance
was determined with repeated measures one-way ANOVA and Bonferroni’s
post hoc test. *P < 0.05, **P < 0.01.
PFC stimulation
frequencies affected the time to reach maximal
O2 decreases (i.e., event 1) and subsequent maximal O2 increases (i.e., event 2) in the dorsal striatum. (A) Current
traces taken at the O2 reduction potential were averaged
(n = 6), with their respective stimulation frequencies
indicated to the right. The number of biphasic pulses applied and
their amplitudes were kept constant (80 pulses and 300 μA, respectively).
Gray bars indicate stimulation durations. Dotted lines indicate ±SEM.
(B) Stimulus frequency did not affect whether or not the responses
were biphasic. (C) The stimulus frequency affected the time to reach
maximum event 1 O2 decreases and the subsequent event 2
O2 increases. Monophasic O2 responses were excluded
from event 2 statistics. Error bars indicate ±SEM. Significance
was determined with repeated measures one-way ANOVA and Bonferroni’s
post hoc test. *P < 0.05, **P < 0.01.
Glutamate Iontophoresis
Provokes Local Single-Unit Firing and
O2 Decreases
We next delivered glutamate directly
to the recording locations to exclude the confounding effects of nonglutamatergic
neurotransmitters that could be released from electrical stimulation.
Experiments started in the somatosensory cortex as proof of principle,
then extended deeper within the brain through the striatum. We ejected
glutamate from an iontophoresis barrel in 2 s pulses, until electrophysiology
could resolve single-unit firing from background noise at the carbon
fiber (Figure A,C).
The amount of glutamate ejected was not quantified for each experiment,
as the concentration gradient from a 2 s iontophoretic ejection overestimates
the quantity ejected when using a standard calibration curve;[26] instead, a steady-state glutamate concentration
was used to estimate ejected quantities. A 120 s controlled iontophoresis
ejection using 100 nA, with an assumed 175 pL s–1 ejection rate based on the ejection current,[25] yielded a 3–5 mM glutamate steady-state plateau.
Therefore, glutamate iontophoresis for 2 s at 100 nA ejected glutamate
on the order of 1–2 pmol. Though steady-state ejections can
diffuse solution to a radius of several hundreds of micrometers, a
2 s ejection is unlikely to diffuse much further than the barrel tip,[26] especially with the efficiency of glial glutamate
transporters.[27]
Figure 4
Multimodal sensors characterized
a variety of microenvironments
based on the effects of local glutamate-elicited excitation via iontophoresis.
Recording locations fell into one of two broad categories, those that
responded to glutamate with excitatory single-unit activity, that
is, glutamate-sensitive cells (A, C), and those that did not (B, D).
Within each group, glutamate ejections either were succeeded by an
O2 decrease (A, B) or experienced no change in O2 relative to baseline (C, D). Black tics (top) indicate action potentials
during each of the four repeated trials shown. Gray boxes indicate
the glutamate ejection duration. The averaged O2 traces
from the four repeated trials are shown (bottom). Baseline concentrations
are shown as a dotted line. Sharp peaks immediately prior to and following
ejections reflect an ejection artifact.
Multimodal sensors characterized
a variety of microenvironments
based on the effects of local glutamate-elicited excitation via iontophoresis.
Recording locations fell into one of two broad categories, those that
responded to glutamate with excitatory single-unit activity, that
is, glutamate-sensitive cells (A, C), and those that did not (B, D).
Within each group, glutamate ejections either were succeeded by an
O2 decrease (A, B) or experienced no change in O2 relative to baseline (C, D). Black tics (top) indicate action potentials
during each of the four repeated trials shown. Gray boxes indicate
the glutamate ejection duration. The averaged O2 traces
from the four repeated trials are shown (bottom). Baseline concentrations
are shown as a dotted line. Sharp peaks immediately prior to and following
ejections reflect an ejection artifact.We investigated differences between the role of glutamate
in superficial
and deep brain environments, exploring the somatosensory cortex and
the striatum. Cortical cells required >100 nA cathodic current
to
respond and were most often found at or below 0.9 mm D-V, corresponding
to the most densely populated layers IV–VIb. These observations
were consistent with published observations,[16,17,28] and validated our approach to locally activate
cells with iontophoresed glutamate. Meanwhile, in agreement with the
literature,[29] we observed denser cell responses
in the ventral striatum as compared to the dorsal striatum. Striatal
cells responded using only 20 to 80 nA ejection currents, which was
both less than the >100 nA ejection currents required for cortical
cells[16] and consistent with previous reports.[30,25,26] The difference in ejection currents
between brain regions is worth noting, as the amount of glutamate
ejected per 2 s scales with ejection current.[25] The consistent difference in the ejection currents required to elicit
cell firing in the cortex versus the striatum suggested that glutamate
sensitivity may differ between these two brain regions. However, cells
also required different glutamate ejection currents within the same
brain region, which we attribute to either cell proximity to the drug
barrel, cell sensitivity to glutamate, or the availability of local
excitatory receptors.[17] These differences
both between and within brain regions may be extremely subtle given
that picomole or sub-picomole quantities of glutamate are ejected
using currents above and below 100 nA, respectively.We used
FSCV to record O2 changes during glutamate iontophoresis
and simultaneous single-unit activity recording. In contrast to electrical
stimulations, we observed one of two effects in the recorded environments
following glutamate iontophoresis: either an exclusive monophasic
O2 decrease (i.e., event 1 not followed by event 2; Figure A,B) or negligible
O2 changes (Figure C,D). The monophasic O2 decreases typically returned
to baseline within 40 s (Figure A,B). This contradicted a previous study that found
a robust O2 increase following a local pressure ejection
of 0.5 nmol glutamate aliquots.[31] In contrast,
our generous estimate of the glutamate delivered from a 2 s iontophoretic
ejection was orders of magnitude less, 1–2 pmol. Overall, our
sensor recorded one of four responses to glutamate at any given location.
Either glutamate evoked cell firing or it did not, and the ejection
was either succeeded by O2 decreases or did not perturb
local tissue O2 (Figure ), indicating that sensor responses were sensitive
to the natural heterogeneity of the surrounding brain tissue.
While characterizing
glutamate-responsive neurons in the striatum,
we serendipitously observed fast-spiking interneurons in ventral locations,
offering us the unique opportunity to study them in vivo. These cells represent only 5–10% of striatal neurons and
were identified as interneurons based on the observed high spontaneous
firing rates (Figure A). Though we were unable to positively identify the type of fast-spiking
interneuron from single-unit recordings alone, the 2 to 20 Hz spontaneous
firing rates observed in deeply anesthetized subjects were in line
with spontaneous firing rates reported for cholinergic interneurons.[23,32] Up to 3 spontaneously active cells could be discerned per fast-spiking
interneuron recording location (Figure A,B), consistent with interneuron clustering.[33] Local glutamate ejections significantly inhibited,
rather than augmented, single-unit firing rates in the vast majority
of these spontaneously active cells (49.0% ± 8.2% of baseline
activity, t(2,36) = 5.91, n = 19, P < 0.0001, Figure C); however, glutamate did not affect the
single-unit activity of 3 fast-spiking cells that were included in
these statistics. One fast-spiking cell responded with augmented single-unit
firing and was excluded as a Grubbs statistical outlier (P < 0.05; cell no. 1 in Figure A). In some instances, these ejections fully suppressed
firing with extended ejection times (Figure B). Basal firing rates recovered after glutamate
ejections ceased in all cases (examples in Figure B). To our knowledge, we are the first to
show this explicit chemical relationship between the majority of striatal,
fast-spiking interneurons and glutamate in vivo in
an intact brain.
Figure 5
Glutamate inhibited fast spiking interneurons observed
in the ventral
striatum. (A) A 2D waveform density plot distinguished a cluster of
three spontaneously fast-spiking cells at a single carbon fiber at
one location, each resolved from the background. High firing rates
(>10 Hz) produced large, dense clusters over the time course. Insets:
Color-coded average action potential waveforms, with outliers >4σ
removed. (B) Firing rate histograms for two interneurons (α
and β), recorded at a different location than that of panel
A. The firing rate of both cells attenuated during glutamate ejections
and recovered after the ejections ended. The dashed lines from left
to right represent the start of ejection, end of the 2 s ejection,
and end of the 10 s ejection. (C) A 2 s glutamate ejection inhibited
single-unit interneuron activity in the ventral striatum (Student’s t-test: t(2,36) = 5.91, P < 0.0001). Firing was normalized to the spontaneous
firing during baseline recordings. Error bars indicate SEM.
Glutamate inhibited fast spiking interneurons observed
in the ventral
striatum. (A) A 2D waveform density plot distinguished a cluster of
three spontaneously fast-spiking cells at a single carbon fiber at
one location, each resolved from the background. High firing rates
(>10 Hz) produced large, dense clusters over the time course. Insets:
Color-coded average action potential waveforms, with outliers >4σ
removed. (B) Firing rate histograms for two interneurons (α
and β), recorded at a different location than that of panel
A. The firing rate of both cells attenuated during glutamate ejections
and recovered after the ejections ended. The dashed lines from left
to right represent the start of ejection, end of the 2 s ejection,
and end of the 10 s ejection. (C) A 2 s glutamate ejection inhibited
single-unit interneuron activity in the ventral striatum (Student’s t-test: t(2,36) = 5.91, P < 0.0001). Firing was normalized to the spontaneous
firing during baseline recordings. Error bars indicate SEM.
Transient O2 Events
Finally, while characterizing
glutamate responses in both cortical and striatal environments, we
also observed spontaneous, discrete O2 changes throughout
both regions (Figure ). These transient O2 events occurred without reliably
concurrent cell activity, presented during baseline recordings in
absence of glutamate, and persisted throughout data collections unaffected
by glutamate ejections. The cyclic voltammograms revealed that the
fluctuations were not noise because they only occurred at the O2 reduction potential. The overlapping relationships between
these transients and glutamate-stimulated O2 decreases
and single-unit activity between cortical and striatal environments
are summarized in Figure . A total of n = 197 discrete data sets were
collected at both glutamate-sensitive and glutamate-insensitive locations
in the cortex (n = 59 and 24, respectively) and striatum
(n = 79 and 35, respectively, for MSNs). Additionally,
we collected O2 data at fast-spiking interneuron locations
(n = 16). For categorization purposes, we defined
glutamate-sensitive cells as those that responded to glutamate ejections
with increased single-unit activity, and transients as baseline-resolved
O2 changes that exceeded 3 standard deviations above baseline
noise. Interestingly, 90.0% of all recorded locations with glutamate-sensitive
cells presented with spontaneous O2 transients. These transients
appeared in 93.7% of striatal glutamate-sensitive recording locations
(excluding interneurons) and 88.6% of striatal glutamate-insensitive
locations (Figure ). In contrast, spontaneous O2 transients presented at
80.8% of glutamate-sensitive cortical cell locations but only 54.8%
of cortical glutamate-insensitive locations (Figure ). These data revealed the high probability
of encountering spontaneous O2 fluctuations in close proximity
to glutamate-sensitive neurons, but further studies are needed to
determine their significance.
Figure 6
Locations exhibited spontaneous O2 transients in (A)
a layer Vb cortical cell, (B) a medium spiny neuron (MSN) in the striatum,
and (C) an interneuron in the ventral striatum. Each black hash (top)
indicates a single recorded action potential. Clean and discrete O2 events presented alone, with no other significant electrochemical
signals (color plots, middle). Current traces (bottom) were obtained
by setting the background current such that all events were O2 decreases/positive current deflections for consistency.
Figure 7
Majority of glutamate-sensitive cell locations
in the striatum
and cortex both led to an O2 decrease following glutamatergic
excitation and exhibited spontaneous O2 transients. Circles
for each cell category (i.e., cortical, striatal, and interneuron
cells) are drawn to scale. Numbers indicate the quantity of discrete
recording locations within a category. The color of each circle corresponds
to a category as defined in the legend.
Locations exhibited spontaneous O2 transients in (A)
a layer Vb cortical cell, (B) a medium spiny neuron (MSN) in the striatum,
and (C) an interneuron in the ventral striatum. Each black hash (top)
indicates a single recorded action potential. Clean and discrete O2 events presented alone, with no other significant electrochemical
signals (color plots, middle). Current traces (bottom) were obtained
by setting the background current such that all events were O2 decreases/positive current deflections for consistency.Majority of glutamate-sensitive cell locations
in the striatum
and cortex both led to an O2 decrease following glutamatergic
excitation and exhibited spontaneous O2 transients. Circles
for each cell category (i.e., cortical, striatal, and interneuron
cells) are drawn to scale. Numbers indicate the quantity of discrete
recording locations within a category. The color of each circle corresponds
to a category as defined in the legend.
Discussion
In this study, we extended the use of an
existing multimodal sensor
to investigate the relationship between glutamatergic neurotransmission
and O2 responses in highly localized environments. We assessed
the differences between stimulated (global, nonspecific) and iontophoresed
(local, specific) glutamate responses. Endogenous glutamate release
via electrical PFC stimulation elicited a biphasic O2 pattern
in the striatum, first decreasing and then increasing above baseline
levels, consistent with the idea that O2 is first locally
consumed (event 1) following neurotransmission before being replenished
via hyperemic CBF increases (event 2).[8,10,24] In previous work, we showed that stimulated O2 increases do not occur in brain slices devoid of CBF, supporting
the idea that event 2 is hyperemic in origin.[12] Striatal iGluR activation was responsible for a significant portion
of the O2 decrease amplitude, but its negligible effect
on the O2 increase event (i.e., CBF) suggested that either
stimulus strength, the release of other electrically evoked neurotransmitters,
or both play this role in hyperemia. Local O2 responses
to glutamate iontophoresis resembled those from weak electrical stimulations,
that is, monophasic O2decreases insufficient to provoke
CBF-driven O2 increases. Taken together, it is clear that
our improved multimodal sensor provides a chemically and spatially
selective method of studying exclusive glutamatergic influence on
single-unit activity and local O2 changes throughout the
intact brain.Here, we stimulated glutamatergic cell bodies
in the PFC to measure
O2 changes at terminals in the dorsal striatum. Typical
electrical stimulation paradigms use biphasic pulses and optimize
stimulation parameters through tuning curves.[6,8,34,35] Studies have
reported that below a threshold stimulation “strength”,
both O2 decreases and cell firing occurred without evoking
CBF changes.[6,8] We stimulated glutamatergic PFC
projections to the striatum and evoked O2 decreases that
were only followed by O2 increases past a threshold “strength”
related to the number of stimulating pulses. The event amplitudes
grew linearly with the number of stimulation pulses, as did the likelihood
of the location responding with a biphasic O2 pattern (i.e.,
first consuming O2, then replenishing O2 to
increases above baseline). Together, these results support current
functional hyperemia dogma that stimulating neuronal activity leads
to increased energy consumption followed by overcompensating amounts
of O2 delivered via CBF. Thus, we verified that a stimulation
threshold must be exceeded to elicit hyperemicO2 responses
in the corticostriatal pathway and identified that this threshold
directly depends upon the number of electrical stimulus pulses.In contrast to previous studies that show both CBF and neuronal
activity as being dependent upon stimulation frequency,[6,8,34,35] we found no relationship between higher stimulation frequencies
and whether the locations expressed biphasic behavior. It is important
to note that each of these studies kept the stimulation duration constant
while modulating the frequency, which confounds frequency effects
with the pulse numbers per stimulus. Further, we found no relationship
between the event amplitudes and frequency, which we attribute to
using a consistent number of pulses. Lowering the stimulation frequency
only increased the amount of time between the stimulation onset and
the maximal O2 event responses, which again supported our
conclusion that the number of pulses ultimately controls the magnitude
of O2 responses. Thus, we concluded that, for a constant
number of electrical stimulus pulses, the PFC stimulation frequency
has no influence over hyperemicO2 amplitudes in the striatum.Interestingly, we did not observe dopamine release at the sensor
as a result of PFC stimulation, as has been reported in the ventral
striatum;[21] however, we positioned our
electrodes in the dorsal striatum and optimized our sensor location
based on robust glutamate-evoked single-unit activity. Additionally,
the O2 voltammetric waveform has poor sensitivity for dopamine
(2.5 nA/μm at the dopamine oxidation potential [+0.6 V]).[36] We observed catechol-like signals in some locations
following stimulation, but the absence of a catecholamine reduction
peak at −0.3 V and the presence of negative current at −0.1
V suggested that these signals indicated pH shifts.While manipulating
PFC stimulation parameters controlled whether
striatal O2 changes were mono- or biphasic, the specific
role of glutamate as an excitatory neurotransmitter only influenced
local O2 decreases (i.e., event 1). Subsequent O2 overcompensation (i.e., event 2) was insensitive to iGluR blockade
at the cell terminals, consistent with studies that related neurovascular
coupling to postsynaptic receptor activity.[6,37] As
a sufficient quantity of stimulation pulses was necessary to evoke
O2 overcompensation (i.e., CBF), the process responsible
required either a larger recruitment of excited cells or robust, accumulative
stimulation in order to release certain neurotransmitters. Meanwhile,
glutamate iontophoresed at the same striatal locations as the PFC
recordings only evoked O2 decreases, even with high ejection
currents (i.e., greater quantities of glutamate released). Extensive
electrical PFC stimulations at similar frequencies have been shown
to increase glutamate concentrations by several micromolar in the
ventral striatum, orders of magnitude greater than what our iontophoretic
ejections are estimated to release.[38] The
picomoles of glutamate iontophoresed with our 2 s ejection are unlikely
to diffuse far enough to excite the same number of neurons as a stimulating
electrode, but the magnitude of the O2 decreases with iontophoresis
were still comparable to “weaker” electrical stimuli
(i.e., fewer pulses). Together, this suggests that local O2 overcompensation at striatal terminals depended on PFC neurotransmission.
However, the lack of specificity offered by electrical stimulation
barred any conclusions about whether this hyperemic relationship was
driven by neuronal activity or the stimulated release of vasoactive
neurotransmitters, especially since the potential amount of striatal
glutamate released versus ejected may differ by orders of magnitude.It is well-known that electrical stimulations excite spatially
extensive cell populations, so we adapted an existing multimodal sensor
to excite local neuronal populations, record action potentials, and
observe subsequent O2 changes. These techniques have exceptionally
high spatial resolutions; steady-state iontophoresis (i.e., ejections
120 s or longer) delivers drug to a radius in the hundreds of micrometers,[25] extracellular single-unit recordings detect
somatic firing within a ∼50 μm radius,[39] and FSCV at a carbon-fiber electrode probes O2 changes within a 20 μm radius.[13] A 2 s (i.e., far from steady-state) iontophoreticglutamate ejection,
estimated to deliver 1–2 pmol of glutamate, evoked single-unit
activity in highly localized cell populations, in agreement with previous
studies.[16,17,20] Nearly all
recording locations at glutamate-sensitive cells (100+) showed either
a monophasic O2 decrease that returned to baseline or no
O2 change in response to the 2 s glutamate ejection (Figure ; O2 examples
in Figure A,C). Glutamate
iontophoresis evoked single-unit activity without subsequent O2 changes and vice versa, in agreement with studies showing
decoupling at high spatial resolution.[7,40] However, the
outstanding majority of glutamate-sensitive cells showed a decrease
in O2 after glutamate stimulation, similar to a “weak”
electrical stimulus. Iontophoresed glutamate could not elicit biphasic
responses, even with extended (>5 s) ejections using currents >500
nA (data not shown). Previous work established how to both quantify
the drug ejected and track its spatial diffusion,[19,25] which we used to confirm that a 2 s ejection released glutamate
on the order of picomoles (vide supra). This is unlikely
to be excitotoxic[41] and establishes glutamate
iontophoresis as a safe method of investigating local excitatory dynamics.
It is unlikely that glutamate ejections of this magnitude could diffuse
to a sufficient number of neurons and match the stimulation strength
necessary to elicit a biphasic response, especially with the efficiency
of glutamate uptake through neuronal and astrocytic transporters.[42]Cell firing is normally inhibited in deeply
anaesthetized animals;
however, we observed cells in the ventral striatum that fired spontaneously
at high rates, a well-known characteristic of interneurons. Glutamate
significantly and reversibly inhibited most of the recorded fast-spiking
interneurons; however, glutamate had no effect on a small number of
fast-spiking cells and increased cell firing only in one single case.
While our sensor afforded us the unique advantage of recording interneuron
responses to glutamate in an intact brain, technical limitations precluded
our ability to definitively categorize the interneurons into their
specific subtypes using single-unit activity waveforms alone.[23,32] It is possible that the iontophoresed glutamate induces a temporary
depolarization block, as has been previously observed with extended
glutamate iontophoresis in dopamine neurons and ventral striatum neurons,[43,44] which may explain why some neurons required longer ejections at
stronger currents to quell firing (Figure B). The specific effect of glutamate on interneuron
firing rates adds to the growing body of literature investigating
the complex interactivity between neurotransmitters through striatal
MSNs and fast-spiking interneurons.[33,45,46]Spontaneous O2 events, found here
in both the cortex
and striatum, have been observed in vivo as early
as 1957.[47] Studies attributed these spontaneous
events to factors ranging from the type of anesthetic used[48] and to spontaneous astrocytic excitation,[49,50] among other possibilities. Studies from Lowry et al. detected baseline
current fluctuations when observing O2 via amperometry,
a technique that is also capable of determining absolute tissue O2 concentrations.[51] FSCV measures
changes in O2rather than absolute concentrations; however,
the unique voltammogram shape allowed us to confirm what may be mistaken
for noise as O2 (examples in Figure C). Though some transients were large (>20
μM), the short (<60 s) durations, continued neuronal sensitivity
to glutamate excitation, and lack of concomitant ionic signals precluded
these from representing spreading depolarizations.[52]When glutamate ejected during a transient event,
we observed augmented
O2 decreases that returned to baseline on the same time
scale as those without transients, suggesting that the transients
are controlled by mechanisms that are independent of (or unlikely
to compete with) neuronal glutamate receptor-dependent O2 decreases. Indeed, spontaneous O2 events did not always
correspond with single-unit firing (Figure and 7) despite the
spatial resolution of O2 detection being more confined
than that of extracellular single-unit detection (∼20 and 50
μm radii, respectively).[13,39] Nearly 30% of oxidative
metabolism in the brain originates from astrocytes,[53] undetectable with single-unit electrophysiology, making
them attractive potential sources of these transients. That a larger
percentage of transients were observed in deeper brain regions also
indicated a possible environmental factor to their presence. The large
overlap between locations with spontaneous transients and glutamate-sensitive
neurons would make multiunit cellular recording an interesting future
topic of exploration. Though we did not investigate any underlying
chemical or physical source(s) of these transients, research from
the Venton group has been investigating the relationship between adenosine
and O2 changes, both as stimulated events and as spontaneous
transients.[54,55]As technology progresses
to stimulate the brain more selectively
and specifically, increasing evidence suggests that disconnects between
functional hyperemia relationships exist in healthy subjects. Here,
we elicited a hyperemic response from electrically stimulated glutamate
release in the striatum, but targeted, exogenous glutamate excitation
produced only decreases in recorded O2. Modifying an existing
multimodal sensor that paired iontophoresis with electrophysiology
and FSCV permitted the simultaneous detection of highly localized
O2 and cell firing responses to selective glutamatergic
stimuli in an intact, anesthetized animal. This technique serves as
a starting point for investigating spatially targeted cerebrovascular
coupling as it relates to glutamate elicited neurotransmission and
O2 responses.
Methods
Animal Care
All animal protocols were approved by the
Institutional Animal Care and Use Committee of the University of North
Carolina at Chapel Hill (UNC) in accordance with the Guide for Care
and Use of Laboratory Animals (eighth edition). Male Sprague–Dawley
rats (300–450 g, Charles River, Wilmington, MA, USA) were pair-housed
at UNC animal facilities, given food and water ad libitum, and kept on a 12 h light/dark cycle. Care was taken to reduce the
number of animals used. A total of 6 animals were used for stimulation
experiments, and glutamate iontophoresis data were pooled and analyzed
from 70 animals originally used for other protocols. A single rat
expired during a stimulation experiment, and was excluded from this
study.
Surgery
Animals were anesthetized with urethane (1.5
g/kg ip) and placed in a stereotaxic frame (Kopf, Tujunga, CA, USA).
Coordinates are relative to bregma from the Paxinos and Watson (2007)
atlas. Depths were measured relative to dura mater. Holes were drilled
in the dorsal striatum (+0.7 or +2.0 mm A-P, +3.2 mm M-L, −2.5
to −3.5 mm D-V) for the carbon-fiber electrode and the PFC
(+3.0 mm A-P, +0.8 mm M-L, −3.0 mm D-V) for the stimulating
electrode. A Ag/AgCl reference electrode wire was placed in the contralateral
hemisphere and served also as an iontophoresis ground. Holes were
drilled for glutamate iontophoresis studies in the striatum (+2.2
mm A-P, +1.7 mm M-L, −6.4 to −7.8 mm D-V) and somatosensory
cortex (+0.6 mm A-P, +2.8 mm M-L and +2.0 mm A-P, +2.6 mm M-L, −0.9
to −2.0 mm D-V for each).
Drugs and Solutions
dl-2-Amino-5-phosphonopentanoic
acid sodium salt (AP5, NMDA receptor antagonist), and 1,2,3,4-tetrahydro-7-nitro-2,3-dioxoquinoxaline-6-carbonitrile
disodium salt (CNQX, AMPA receptor/kainate antagonist) were obtained
from Abcam (Cambridge, MA, USA). All other chemicals were obtained
from Sigma-Aldrich (St. Louis, MO, USA). Iontophoresis solutions of
glutamate, AP5, and CNQX were 200, 50, and 10 mM, respectively, with
the latter two combined into a single cocktail solution. AP5 and CNQX
concentrations were chosen based on existing literature,[56] with a higher CNQX concentration to compensate
for experimentally observed difficulties ejecting the drug at higher
currents. Drugs were dissolved in 5 mM NaCl and ejected iontophoretically
using cathodic currents (−25 to −400 nA).
Voltammetric
O2 Measurements and Iontophoresis
Multimodal sensors
were fabricated from a four-barrelled glass
capillary as described previously.[15] Briefly,
a ∼5 μm diameter carbon fiber, pulled into a glass capillary,
was inserted into a 4-barrel capillary and cut under a light microscope
to an exposed length between 80–120 μm. The remaining
iontophoresis barrels were filled with drug solutions.FSCV
measurements were obtained and analyzed with the high-definition cyclic
voltammetry (HDCV) computer program.[14] The
voltammetric waveform was 11 ms in duration, first scanned from a
holding potential of 0.0 V to +0.8 V, then to −1.4 V, and finally
back to the holding potential (vs Ag/AgCl reference electrode) at
a scan rate of 400 V s–1. Carbon-fiber surfaces
were conditioned in the brain by scanning the waveform at 60 Hz, followed
by 10 Hz, each for 15 min. Simultaneous electrochemical and electrophysiological
measurements were acquired with a 5 Hz repetition rate as described
previously.[14] Briefly, each 200 ms data
acquisition period consisted of single-unit activity recordings for
179 ms, a voltammetric waveform lasting 11 ms, and a 0 V potential
held both prior to and following each waveform for 5 ms each. O2 current versus time traces were exported at the O2 reduction potential on the forward scan (−1.35 V) to exclude
the nonfaradaic current that immediately follows switching potentials
from adsorbing species that disrupt the electrical double-layer capacitance
(e.g., calcium).[12] O2 concentrations
were estimated from the current at the O2 reduction potential
(−1.35 V) using a −0.35 nA μM–1 calibration factor, such that negative currents indicate O2 increases and positive currents indicate O2 decreases.
The calibration methods used have been described elsewhere,[12] where the O2 reduction current is
measured from solutions of known O2 content passing through
an airtight flow cell. Custom instrumentation controlled the alternating
connection of the carbon fiber between a current transducer (cyclic
voltammetry) and a voltage follower (electrophysiology measurements).[14]Iontophoretic ejections were performed
by applying constant current
(NeuroPhore BH-2 System, Harvard Apparatus, Holliston, MA, USA). Ejection
timing was controlled by HDCV. Iontophoretic barrels were primed at
least 400 μm dorsal to the measurement region, outside the brain
regions of interest, to test barrel functionality without affecting
receptors at the actual recording locations.
Stimulus isolators (NL800A,
Neurolog, Digitimer, Hertfordshire, UK)
generated electrical stimulations at a bipolar stainless steel electrode
(Plastics One, West Lafayette, IN, USA) in the PFC glutamatergic cell
bodies. A multimodal sensor was placed in the ipsilateral dorsal striatum.
One drug barrel contained glutamate (200 mM) while another contained
an AP5 (50 mM) and CNQX (10 mM) cocktail to antagonize iGluRs. Recordings
were taken at locations where glutamate reponsive cells were present,
defined as locations where single-unit activity accompanied a 2 s
glutamate ejection using cathodic currents <100 nA. The electrode
depth was optimized for the strongest biphasic response while maintaining
sensitivity to iontophoresed glutamate. One location was used per
animal. Dorsal striatum locations were verified with histology as
described below.Stimulations were optimized to maximize biphasic
O2 responses while maintaining physiologically relevant
stimulus lengths. Stimulation frequencies from 5 to 60 Hz were tested;
all stimulations were comprised of 120 biphasic pulses of 0.2 ms width
and 300 μA amplitude. These frequencies were chosen with the
knowledge that high frequency corticostriatal stimulations raise striatal
glutamate levels[57] and are within the range
of stimulations used in other studies.[58,59] To measure
the effect of stimulation duration, we held stimulation frequency
and current amplitude constant (20 Hz and 300 μA, respectively)
and varied pulse numbers from 10 to 100. A random number generator
controlled the order in which different frequencies or pulse numbers
were used.Pharmacological studies investigated the role of
local iGluRs on
O2 events in the striatum following PFC stimulation. To
antagonize NMDA, AMPA, and kainate receptors, a drug cocktail (50
mM AP5 and 10 mM CNQX) was iontophoretically ejected into the dorsal
striatum recording location for 60 s using cathodic current. The ejection
duration was chosen to reach near-steady state diffusion, such that
local (∼100 μm radius)[25] receptors
would become saturated with antagonists. After the drug ejections
ended, 10–30 s elapsed before the postdrug PFC stimulation
(20 Hz, 80 pulses) to measure O2 changes under local iGluR
antagonism. Glutamate was iontophoresed before the first electrical
stimulation in each subject and again 10 min after the end of the
final drug cocktail stimulation to confirm drug clearance.
Local
Glutamatergic Excitation with Iontophoresis
A
multimodal sensor was placed in either the cortex or the striatum,
with one barrel containing a glutamate solution (200 mM glutamate
dissolved in 5 mM NaCl). Each probe was used for multiple locations,
if background currents remained stable, to both avoid tissue damage
and minimize the number of animals. Recording locations were at least
300 μm apart.[15]Both the electrophysiological
software and HDCV continuously display data in real time, which allowed
us to locate glutamate-sensitive cells quickly. The sensor was lowered
into the brain region of interest and glutamate was ejected (2 s).
Locations were designated as cell locations if they produced reproducible
single-unit firing that time-locked to the glutamate ejection. If
no time-locked response occurred, the sensor was lowered further and
the glutamate ejection repeated until a cell was located. We optimized
the depth of cell recording locations for maximal single-unit activity
responses to glutamate. Because multiple data sets could be collected
per animal, data sets were also taken at locations that were insensitive
to glutamate to characterize other metrics (i.e., O2 responses
and spontaneous O2 transients, vide infra). Each recording location data set consisted of 3–6 replicates
each of baseline O2 activity (nothing ejected) and 2 s
glutamate ejections. Time between subsequent glutamate ejections was
120 s.
Single-Unit Activity Electrophysiology
Single-unit
activity was measured at the carbon-fiber for 179 ms between each
voltammetric scan. The data were amplified (×5000), fed through
a bandpass filter (300–3000 Hz, Krohn-Hite Corp., Brockton,
MA), and digitized using commercially available software (Digitizer,
Plexon, Dallas, TX, USA). Single units were analyzed using Offline
Sorter (Plexon, Dallas, TX, USA). Individual waveforms coinciding
with a coupling artifact were excluded. After cell sorting, perievent
rasters depicting the firing rate of cells over time were compiled
using commercially available software (NeuroExplorer, NexTechologies,
Madison, AL) and exported in 0.18 s bins for statistical analysis.
Histology
Following data collection, the probe location
was lesioned by cyclically applying a ramp of 0–10 V DC potential
three times over 20 s. Animals were euthanized with urethane cardiac
puncture. Brains were removed and fixed in 10% formalin for >7
days.
Brains were then cryoprotected in 30% sucrose for >48 h, before
coronal
sections (50 μm) were taken with a freezing microtome (Leica,
Germany). Slices were mounted on microscope slides and viewed under
a light microscope to confirm electrode placements.
Statistical
Analyses
Statistical analysis was performed
using GraphPad Prism 6 (GraphPad Software, San Diego, CA, USA). A
repeated measures one-way analysis of variance (ANOVA) with post hoc
Bonferroni’s test was used to evaluate significance between
different electrical stimulation parameters. A Student’s t-test was used to determine significance between pre- and
postdrug O2 events elicited by electrical stimulation.
Differences were significant when *P < 0.05. Venn
diagrams were generated using Venn Diagram Plotter software (Pacific
Northwest National Laboratory, Richland, WA, USA; https://omics.pnl.gov/).
Authors: J D Rothstein; M Dykes-Hoberg; C A Pardo; L A Bristol; L Jin; R W Kuncl; Y Kanai; M A Hediger; Y Wang; J P Schielke; D F Welty Journal: Neuron Date: 1996-03 Impact factor: 17.173
Authors: Anna M Belle; Catarina Owesson-White; Natalie R Herr; Regina M Carelli; R Mark Wightman Journal: ACS Chem Neurosci Date: 2013-03-26 Impact factor: 4.418
Authors: Hao Zhang; Philipp Gutruf; Kathleen Meacham; Michael C Montana; Xingyue Zhao; Antonio M Chiarelli; Abraham Vázquez-Guardado; Aaron Norris; Luyao Lu; Qinglei Guo; Chenkai Xu; Yixin Wu; Hangbo Zhao; Xin Ning; Wubin Bai; Irawati Kandela; Chad R Haney; Debashis Chanda; Robert W Gereau; John A Rogers Journal: Sci Adv Date: 2019-03-08 Impact factor: 14.136
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