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J Neurophysiol 95: 1800-1811, 2006. First published November 23, 2005; doi:10.1152/jn.01074.2005
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Control of the Subthalamic Innervation of Substantia Nigra Pars Reticulata by D1 and D2 Dopamine Receptors

Osvaldo Ibañez-Sandoval1,2, Adán Hernández1, Benjamin Florán1, Elvira Galarraga2, Dagoberto Tapia2, Rene Valdiosera1, David Erlij3, Jorge Aceves1 and José Bargas2

1Departamento de Fisiología, Biofísica y Neurociencias, Centro de Investigación y Estudios Avanzados and 2Departamento de Biofísica, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Mexico City, Mexico; and 3Department of Physiology, Downstate Medical Center, New York University, New York, New York

Submitted 12 October 2005; accepted in final form 22 November 2005


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
The effects of activating dopaminergic D1 and D2 class receptors of the subthalamic projections that innervate the pars reticulata of the subtantia nigra (SNr) were explored in slices of the rat brain using the whole cell patch-clamp technique. Excitatory postsynaptic currents (EPSCs) that could be blocked by 6-cyano-7-nitroquinoxalene-2,3-dione and D-(–)-2-amino-5-phosphonopentanoic acid were evoked onto reticulata GABAergic projection neurons by local field stimulation inside the subthalamic nucleus in the presence of bicuculline. Bath application of (RS)-2,3,4,5-tetrahydro-7,8-dihydroxy-1-phenyl-1H-3-benzazepine hydrochloride (SKF-38393), a dopaminergic D1-class receptor agonist, increased evoked EPSCs by ~30% whereas the D2-class receptor agonist, trans-(–)-4aR-4,4a,5,6,7,8,8a,9-octahydro-5-propyl-1H-pyrazolo(3,4-g)quinoline (quinpirole), reduced EPSCs by ~25%. These apparently opposing actions were blocked by the specific D1- and D2-class receptor antagonists: R-(+)-7-chloro-8-hydroxy-3-methyl-1-phenyl-2,3,4,5-tetra-hydro-1H-3-benzazepinehydrochloride (SCH 23390) and S-(–)-5-anino-sulfonyl-N-[(1-ethyl-2-pyrrolidinyl)-methyl]-2-methoxybenzamide (sulpiride), respectively. Both effects were accompanied by changes in the paired-pulse ratio, indicative of a presynaptic site of action. The presynaptic location of dopamine receptors at the subthalamonigral projections was confirmed by mean-variance analysis. The effects of both SKF-38393 and quinpirole could be observed on terminals contacting the same postsynaptic neuron. Sulpiride and SCH 23390 enhanced and reduced the evoked EPSC, respectively, suggesting a constitutive receptor activation probably arising from endogenous dopamine. These data suggest that dopamine presynaptically modulates the subthalamic projection that targets GABAergic neurons of the SNr. Implications of this modulation for basal ganglia function are discussed.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
Neurons of the substantia nigra pars reticulata (SNr) receive synaptic inputs from the striatum (Chevalier et al. 1985Go; Smith and Bolam 1991Go), globus pallidus (Smith and Bolam 1989Go), and subthalamic nucleus (STN) (Bevan et al. 1994Go; Iribe et al. 1999Go; Kita and Kitai 1987Go; Robledo and Feger 1990Go). The latter being the best-documented excitatory input, although other sources of excitation have not been discarded. These neurons are also exposed to dopamine released from dendrites of the pars compacta neurons as well as from dopaminergic neurons located inside the pars reticulata (Cheramy et al. 1981Go; Geffen et al. 1976Go; Nakanishi et al. 1987Go; Richards et al. 1997Go; Rohrbacher et al. 2000Go). Dopamine release and a high density of dopamine receptors in the SNr (Barone et al. 1987Go; Beckstead et al. 1988Go; Richfield et al. 1987Go) suggest a role for dopamine in regulating basal ganglia output nuclei (Double and Crocker 1995Go; Floran et al. 2002Go; Robertson and Robertson 1989Go; Trevitt et al. 2001Go; Waszczak 1990Go; Weick et al. 1990Go; Wichmann et al. 2001Go). However, most studies on the action of dopamine in the reticulata have been directed to understand the role of dopamine D1 receptors present on striatonigral afferents (Barone et al. 1987Go) that when activated, facilitate GABAergic inhibitory transmission onto SNr neurons (Floran et al. 1990Go; Radnikow and Misgeld 1998Go).

In addition to its actions on striatonigral input, D1–class receptors may also facilitate the release of glutamate from subthalamonigral afferents (Rosales et al. 1997Go). In support of this hypothesis, STN neurons express both D1 and D2 class receptors (Baufreton et al. 2003Go; Ciliax et al. 2000Go; Flores et al. 1999Go; Hurd et al. 2001Go; Khan et al. 2000Go; Svenningsson and Le Moine 2002Go). Accordingly, in this work, the role of dopamine receptors in the regulation of the subthalamonigral projection was explored. We found that this regulation is, at least, as important as the regulation of the inhibitory inputs coming form the neostriatum. A preliminary report of these results has been presented in abstract form (Ibañez et al. 2002Go).


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
Preparation of slices

All procedures were carried out in accordance with the National Institutes of Health Guide for Care and Use of Laboratory Animals and were approved by the Institutional Animal Care Committees of the CINVESTAV and UNAM. The experiments were performed on brain slices obtained from Wistar rats [postnatal day (PD) 14–21]. The rats were anesthetized and decapitated. The brain was rapidly obtained an immersed for 1 min in cold oxygenated saline (~4°C; 95% O2-5% CO2) of the following composition (in mM): 124 NaCl, 2.5 KCl, 1.3 MgCl2, 1.2 NaH2PO4, 2.4 CaCl2, and 10 glucose. The same saline but with choline chloride (124 mM) instead of NaCl was used during the slicing procedure. Parasagittal slices (300 µm) containing both STN and SNr (see Fig. 1) were cut on a vibratome (Pelco101 Series 1000; Pelco, St. Louis, MO) and transferred to the saline with NaCl (preceding text). The slices were left for equilibration for ≥1 h in oxygenated saline at room temperature (~25°C). After equilibration, a single slice was transferred to a recording chamber placed on the stage of an upright microscope and was continuously superfused (2–3 ml/min) with oxygenated saline at room temperature.


Figure 1
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FIG. 1. Subthalamonigral fibers. A: parasagittal slice showing the borders of both subthalamic nucleus (STN) at left and subtantia nigra pars reticulata at right (SNr). Inset: a scheme of the experiment: biocytin was instilled inside the STN borders in a slice continuously superfused. After histochemistry (see METHODS), numerous fibers leaving the STN and reaching the subtantia nigra compacta (SNc) and reticulata (SNr) were observed (negative image). B: amplification of a region with abundant fibers (white square in A). C, 1: threshold field stimulation was delivered in the anterior SNr, where abundant fibers were present, while recording a neuron in the posterior STN. When threshold stimulus did not elicit an action potential, no synaptic event was evident (2). When action potentials were elicited (3), they were similar, and could collide (not shown), with those evoked with intracellular current injections (4).

 
Whole cell recordings

Recordings were made at room temperature ({approx}25°C) from neurons located inside the SNr boundaries as seen in the parasagittal slice. This region mainly contains GABAergic neurons (see following text). Neurons were visualized using infrared differential interference videomicrosocopy with an x40 water-immersion objective. Micropipettes for whole cell recordings were pulled (Sutter Instrument, Novato, CA) from borosilicate glass tubes (1.5 mm OD, WPI, Sarasota, FL) for a final resistance of 2–5 M{Omega} when filled with internal saline of the following composition (in mM): 120 KSO3CH4, 10 NaCl, 10 K2EGTA, 10 HEPES, 1 CaCl2, 2 MgCl2, 2 ATP-Mg, and 0.3 GTP-Na (pH 7.3, 290 mosM/l). Voltage-clamp recordings were made with an Axopatch 200A amplifier (Axon Instruments, Foster City, CA). Liquid junction potentials (≤5 mV) were not corrected. Current-voltage relationships made in current-clamp mode (i.e.: with bridge balance) superimposed tightly with those performed in voltage-clamp mode (i.e.: with 60–80% compensated series resistance; Fig. 3). This coincidence suggested that neither bridge balance nor series resistance (<15 M{Omega}) represent a problem.


Figure 3
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FIG. 3. Two main classes of neurons recorded in subtantia nigra pars reticulata. A: representative example of the minority of neurons. a: note a strong sag (inward rectification) evoked by hyperpolarizing steps and a long latency before 1st spike after step depolarization. b: current-voltage relationship (I-V plot) measured in current-clamp mode is not linear. c: current traces after hyperpolarizing and depolarizing voltage commands show time- and voltage-dependent inward rectification as well as outward currents with transient (clipped) and persistent components, respectively. d: I-V plot from voltage-clamp traces (bullet) show both inward and outward rectifications. {circ}, superimposed current-clamp I-V plot (from b) with inverted axes. B: representative example of the majority of neurons: a: note a weaker (as compared with A) and slower sag (inward rectification) evoked by hyperpolarizing steps and high-frequency firing on depolarization. b: current-voltage relationship (I-V plot) measured in current-clamp mode is not linear. c: current traces after hyperpolarizing and depolarizing voltage commands show an apparent asymmetry between time- and voltage-dependent inward rectification for hyperpolarizing commands on the one side and outward currents evoked by depolarizing commands on the other. Inward rectification is smaller as compared with cell in A. d: I-V plot from voltage-clamp traces (bullet) show the result of this asymmetry: a negative slope conductance region with 2 additional crosses through the voltage axis. {circ}, superimposed current-clamp I-V plot (from b) with inverted axes. C: minority of neurons were parvalbumin-negative and had broader action potentials. a: a single action potential representative of a minority of neurons, b: biocytin-filled neuron, c: parvalbumin-negative neuron, d: merge. D: most neurons were immunoreactive for parvalbumin and had briefer action potentials. A single action potential representative of a majority of neurons (a), biocytin-filled neuron (b), parvalbumin-positive neurons (c), merge (d) shows that the biocytin-filled neuron was a parvalbumin-positive neuron.

 
Evoked synaptic currents

Synaptic currents were evoked in SNr neurons by field stimulation inside the STN boundaries with concentric bipolar tungsten electrodes (FHC, Bowdoinham, ME) (50 µm at the tip; 1 k{Omega} DC resistance) at a frequency of 0.1 Hz (20 µs, 1–10 V or 1–20 µA). To be accepted into the sample, postsynaptic neurons had input resistances >100 or 200 M{Omega} for the first and second class of recorded neurons, respectively (see Fig. 3).

Single or paired subthreshold stimulation (not enough to evoke action currents) was delivered in the presence of 10 µM bicuculline to block synaptic GABAergic responses. Isolation units (digitimer LTD, Hertfordshire, UK) between the computer and the stimulating electrodes were used to adjust stimulus parameters during the experiment. Distance between recording and stimulating electrode was commonly >500 µm (cf. Fig. 4). When field stimulation electrodes were placed anywhere inside the STN boundaries (Fig. 1), the probability to get a response in a SNr neuron was 1 of 10 trials. If stimulation electrodes were placed outside the STN border, the probability to get a response was null. Thus exploratory anatomical experiments using anterograde biocytin transport were performed to improve the probabilities of finding connections (see Vergara et al. 2003Go). A sharp micropipette (tip: <0.5 µm) filled with external saline and 5% biocytin (Sigma-Aldrich, St Louis, MO) was placed inside the STN border (near the middle) and left there for 1 h while the slice was constantly superfused. Thereafter the pipette was retired, and the slice was superfused with oxygenated saline for another 6 h. The slice was then fixed overnight in a 0.1 M phosphate-buffered saline (PBS; pH = 7.4; 4°C) with 4% paraformaldehyde and 1% picric acid. Afterward slices were infiltrated with 30% sucrose and cut on a vibratome (Ted Pella, Reading, CA) into 60-µm sections. After washing with Tris-buffered saline (TBS) containing Triton X-100 and avidin-biotin-peroxydase complex (1:100; Vector Laboratories, Burlingham, CA) for 4 h at room temperature, the slices were reacted with 3,3'-diaminobenzidine tetrahydrochloride (DAB; 0.05%) and H2O2 (0.003%) in TBS and mounted on slides to visualize the bound HRP. This enabled resolution, through trans-illumination microscopy, of labeled neurons inside the STN (Fig. 1A) and, most importantly, of subthalamonigral fibers projecting to their target. One of such experiments is illustrated in Fig. 1. The inset shows the arrangement of the biocytin-filled electrode, while the photograph shows at left (in negative), the stained STN with numerous subthalamofugal fibers arising from it and going toward both subtantia nigra pars compacta (SNc) (Iribe et al. 1999Go; Kanazawa et al. 1976Go; Smith and Grace 1992Go) and SNr (Bevan et al. 1994Go; Iribe et al. 1999Go; Kanazawa et al. 1976Go; Kita and Kitai 1987Go; Robledo and Feger 1990Go). The white square inside SNr borders (Fig. 1A) depicts the region expanded in Fig. 1B. Several anterogradely filled fibers can be appreciated. When stimulation electrodes are placed in this region while recording a subthalamic neuron (scheme in Fig. 1C1), antidromic action potentials can be elicited in subthalamic neurons (Fig. 1C, 2 and 3). A dashed circle (S) in the posterior part of the stained STN indicates the region where antidromic action potentials were most probably recorded. It coincides with the origin of many subthalamonigral fibers. When stimulation electrodes were placed in this region (S), the probability to get an evoked excitatory postsynaptic current (EPSC) in a SNr neuron was increased to one of two trials. Therefore most recordings of SNr neurons were done in the anterior part of the SNr (Fig. 2) and field stimulation was given in the posterior part of the STN (Fig. 1A). Holding potential in most experiments was –80 mV.


Figure 4
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FIG. 4. Many recorded neurons were reticulata projection neurons. A: neuronal soma seen with infrared videomicroscopy in SNr. B: area where most SNr neurons were recorded. C: examples of camera lucida reconstructions of recorded neurons. Axons of neurons 1 and 2 could be followed outside the border of SNr.

 

Figure 2
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FIG. 2. AMPA and N-methyl-D-aspartate (NMDA) components of subthalamonigral synaptic currents. A: scheme of the experiments: In a parasagittal slice preparation, field stimulation was delivered inside the STN border at the posterior part while recording a parvalbumin immunoreactive SNr neuron (whole cell voltage-clamp mode). B: evoked postsynaptic current recorded in the SNr neuron. Control current (B, top, control) was evoked in the presence of 10 µM bicuculline. Addition of 10 µM of the AMPA/KA channel blocker, 6-cyano-7-nitroquinoxalene-2,3-dione (CNQX, B, middle, +CNQX) reduced the postsynaptic current. A subsequent addition of 50 µM of the NMDA channel blocker, D-(–)-2-amino-5-phosphonopentanoic acid (AP-5; B, bottom; +AP-5), virtually abolished the current left by CNQX. V-holding = –80 mV. C: histogram summarizing a sample of similar experiments. It can be seen that CNQX blocked >60% (**P < 0.001) and AP-5 >35% (*P < 0.01) of the recorded current; which can then be classified as excitatory postsynaptic current or EPSC. D: CNQX-sensitive and AP-5-sensitive components of the synaptic current were obtained by digital subtraction at different holding potentials (representative traces). E: current-voltage relationships (I-V plots) of the excitatory postsynaptic current (EPSC) components: {circ}, AMPA (mean ± SE); {triangledown}, NMDA. Note linearity of the AMPA component and voltage dependency of the NMDA component.

 
A paired-pulse protocol was sometimes used for field stimulation with inter-pulse intervals of ~50 ms. It was used to evaluate changes in the paired-pulse ratio (PPR) of EPSC responses (PPR = 2nd EPSC/1st EPSC). PPR values are known to be linearly proportional to the probability of release, and the paired-pulse protocol has been demonstrated to detect presynaptic actions of transmitters (e.g., Baldelli et al. 2005Go; Dunwiddie and Hass 1985Go; Guzman et al. 2003Go; Kamiya and Zucker 1994Go; Zucker 1999Go). In addition, 80–120 consecutive 25-Hz trains of subthreshold EPSCs, evoked at a frequency of 0.1 Hz, were used to perform mean-variance analyses in which mean amplitudes of evoked EPSCs (corrected for basal lines from previous EPSCs) were plotted against their peak variance (Clements and Silver 2000Go; Koos et al. 2004Go). Then, a parabola of the form (Eq. 1)

Formula 1(1)
was fitted with a Marquart algorithm (Fig. 7); where y represents EPSC variance (ordinates), x represents EPSC mean amplitude (abscissae), and A and B are free parameters. Basically, parameter A indicates the initial slope of the parabola and parameter B depends on the width of the parabola. From this fit, a weighted average of the quantal amplitude, Qw, was obtained (Eq. 2)

Formula 2(2)
where CV is the coefficient of variation of EPSCs amplitudes. In addition, the approximate number of release sites (N) and the average probability of release across release sites (assuming a binomial distribution) can be approximated by (Eqs. 3 and 4)

Formula 3(3)

Formula 4(4)
Signals were filtered at 5 kHz and either digitized at 10 kHz using a Digidata 1200 interface (Axon Instruments) connected to a PC running Clampex 7.0 software or with an AT-MIO-6040E interface and a DAQ (NI-DAQ) board (National Instruments, Austin, TX) in a PC clone. On-line data acquisition used custom programs made in the LabVIEW environment (National Instruments). The NI-DAQ board was used to save the data on binary files in the computer hard disk for further off-line analysis.


Figure 7
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FIG. 7. Mean-variance analyses of the actions of dopamine agonists on the subthalamonigral EPSC. A: train of 10 evoked EPSCs shows synaptic depression as the short-term dynamics at 25 Hz. Black trace is the average of 85 consecutive trials. Gray traces are individual traces illustrating amplitude variation. B: similar train of EPSCs taken from 90 consecutive trials recorded on the same neuron in the presence of 1 µM SKF-38393. Colors of traces are as in A. Note increase in 1st response. C: average traces in A (black) and B (gray) are superimposed at higher magnification. D: mean peak EPSC amplitudes of train responses (x axis) are plotted against their mean peak variances (y axis). Control: filled circles. D1-agonist: empty circles. Lines represent best fitted parabolas (Eq. 1) to each data set: black to control data points and gray to D1-agonist data points. Note that except for the 1st EPSC, most data points from both sets are intermingled together at the initial portion of the parabolas. In fact, initial slopes were not significantly different for these fits, indicating that quantal amplitude was not changed by the D1-agonist (Clements and Silver 2000Go). E: train of 10 evoked control EPSCs at 25 Hz. Black trace is the average of 105 consecutive trials. Individual traces are in gray. F: similar train of EPSCs taken from 120 consecutive trials recorded on the same neuron in the presence of 1 µM quinpirole. Colors of traces are as in E. G: average traces in E (black) and F (gray) are superimposed at higher magnification. Note decrease in amplitude responses after D2-agonist. H: mean EPSC amplitudes plotted against their mean peak variances. Control: filled circles. D2-agonist: empty circles. Lines represent best-fitted parabolas to each data set: black to control data points and gray to D2-agonist data points. Note that most data points are intermingled together at the initial portion of the parabolas. Initial slopes were not significantly different for these independent fits, indicating that quantal amplitude was not changed by D2-agonist (Clements and Silver 2000Go).

 
Unless stated otherwise, graphs of time courses averaged six records per point: frequency of stimulation was 0.1 Hz or one trace each 10 s. Thus each point represents 1-min recording. However, illustrated records of PPRs are the average of 25 consecutive events during steady state. All data are given as means ± SE unless stated otherwise. Significance of the effect of drugs as well as the significance of the differences in PPRs was tested with nonparametric statistics: the Wilcoxon t-test or Mann-Whitney’s U test depending on paired or unpaired samples. When the same sample had more than one treatment, Friedman’s statistics with post hoc Student-Newman-Keuls test was employed. Statistical differences of fitted functions were assessed by comparing the obtained parameters and their estimation errors with Student’s t-test.

Immunocytochemical procedures

To identify the recorded cells, 1% byocitin was included in the pipette solution (Horikawa and Armstrong 1988Go). To reconstruct biocytin-loaded cells (Fig. 4), a procedure similar to that described in the preceding text to see the trajectory of subthalamonigral fibers was used except that slices were 40 µm thick. When processed for immunocytochemistry, the slices were incubated in streptavidin conjugated with Cy3 (1:200 dissolved in PBS, Zymed Laboratories, San Francisco CA). This allowed visualize the recorded neuron (1 per slice; Fig. 3). Thereafter slices were incubated 30 min with 1% bovine albumin to block unspecific binding sites. Then incubation for 36 h with a mouse monoclonal antibody against parvalbumin followed (anti-PV; 1:2000, Sigma-Aldrich dissolved in PBS containing 0.25% Triton-X). The slices were then rinsed thrice with PBS and incubated with a goat versus mouse secondary antibody during 1 h. This antibody was conjugated with Cy5 (Jackson Inmuno Res Lab, West Grove, PA). Next, slices were mounted on covered slides and observed with different fluorescent filters (vectashield, Vector Laboratories) or in a confocal microscope (Bio-Rad Microscience. London, UK).

Drugs

Drugs were stored as dry aliquots and stock solutions were prepared just prior to each experiment and added to the perfusion solution in the final concentration indicated. trans-(–)-4aR-4,4a,5,6,7,8,8a,9-octahydro-5-propyl-1H-pyrazolo(3,4-g)quinoline (quinpirole), (RS)-2,3,4,5-tetrahydro-7,8-dihydroxy-1-phenyl-1H-3-benzazepine hydrochloride (SKF-38393), R-(+)-7-chloro-8-hydroxy-3-methyl-1-phenyl-2,3,4,5-tetra-hydro-1H-3-benzazepine hydrochloride (SCH 23390), S-(–)-5-anino-sulfonyl-N-[(1-ethyl-2-pyrrolidinyl)-methyl]-2-methoxybenzamide (sulpiride), 6-cyano-7-nitroquinoxalline-2,3-dione (CNQX), D-(–)-2-amino-5-phosphonopentanoic acid (D-AP-5) and bicuculline methaiodide were obtained from Sigma.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
Subthalamonigral connection

As described in METHODS, staining after anterograde transport of biocytin can disclose subthalamonigral fibers in a parasagittal brain slice that includes both STN and SNr (Fig. 1, A and B). Field stimulation (see METHODS), where subthalamonigral fibers are abundant inside the SNr can elicit antidromic action potentials in the subthalamic neurons (Fig. 1C3). Most frequently, on neurons located in the posterior part of the STN (Fig. 1A, "S"). Figure 1C1 shows a scheme of the experiment. Field stimulation was of threshold intensity in Fig. 1C, 2 and 3 (i.e.: the strength necessary to evoke an action potential in 50% of cases). Note that an action potential can be evoked in the absence of any underlying synaptic response. Figure 1C4 illustrates an action potential evoked with an intracellular current injection. These action potentials (Fig. 1C, 3 and 4) can be made to collide (not shown) and subthalamonigral fibers could be seen arising from the location where the antidromic spikes were most probably recorded (Fig. 1A, "S"). The probability to get a response of a postsynaptic SNr neuron after a field stimulus inside the posterior STN was {approx}0.5 (see METHODS) when field stimulation was delivered at this site. Thus field stimulation inside the STN borders in a parasaggital slice can evoke synaptic events (EPSCs) on neurons located inside the SNr in the presence of bicuculline (10 µM). Field stimulation inside STN borders but outside this region much lowered the probability to get a response (see METHODS).

Synaptic events evoked by stimulating the subthalamonigral connection are illustrated in Fig. 2. Field stimulation inside STN borders (Fig. 2A) evoked a synaptic inward current in a SNr neuron (Fig. 2B) in the presence of 10 µM bicuculline (Fig. 2B, control). This subthreshold EPSC was greatly, but not completely reduced, by the addition of CNQX (10 µM) to the bath saline at –80 mV (Fig. 2B, +CNQX). Subsequent addition of +D-AP-5 (50 µM) virtually abolished the synaptic response (Fig. 2B, +AP-5). The AMPA receptor antagonist, CNQX, reduced EPSCs by ~61%, from (mean ± SE) 102 ± 12 to 40 ± 2 pA (Fig. 2C; n = 8; **P < 0.001; Friedman’s statistics with post hoc Student-Newman-Keuls test). Posterior addition of D-AP5 to the CNQX-containing medium further reduced the synaptic current to 6 ± 2 pA (Fig. 2C; n = 8; *P < 0.01; Friedman’s statistics with post hoc Student-Newman-Keuls test after a pair-wise comparison with CNQX values), suggesting that about one-third of this current was mediated by NMDA channels at –80 mV (Fig. 2C). It was concluded that EPSCs evoked by field stimulation of the subthalamonigral connections have both AMPA and N-methyl-D-aspartate (NMDA) components as seen from the somatic recording site.

If synaptic components are isolated by digital subtraction (in Fig. 2D, see CNQX- and AP-5-sensitive components), then a current-voltage relationship (I-V plot) of each synaptic component can be built (Fig. 2E). The NMDA component seems to increase during depolarization reaching a maximal amplitude around –40 mV (Fig. 2, D and E, {triangledown}) thus exhibiting a voltage-dependent I-V plot. In contrast, AMPA current decreases with depolarization and has a linear I-V plot (Fig. 2, D and E, {circ}). This result suggests that NMDA current may be an important drive to reach firing threshold during physiological conditions.

Figure 3 illustrates the two physiologically distinct classes of neurons that could be recorded in the anterior SNr (Nakanishi et al. 1987Go; Richards et al. 1997Go; Rohrbacher et al. 2000Go). One class (n = 24/114; Fig. 3, A and C) had a strong voltage- and time-dependent inward rectification (Fig. 3,A, a and c), could not fire at high frequencies during strong depolarizations (see following text), had a large outward rectification (Fig. 3d) including an initial, transient, fast-activating outward current, its action potentials lasted longer: 2.3 ± 0.1 ms (n = 24)—measured at half-amplitude (Fig. 3Ca), and its I-V plot did not exhibit a negative slope conductance region (Fig. 3Ad).

The class of neurons most frequently recorded: n = 90/114, could fire at high frequencies on depolarization (Fig. 3Ba), exhibited a slowly activating smaller voltage- and time-dependent inward rectification (Fig. 3B, a and d), a much smaller outward rectification (Fig. 3Bc), a briefer action potential (Fig. 3Da): 0.73 ± 0.01 ms—measured at half-amplitude (n = 40; P < 0.001, comparing both neuron sets with Mann-Whitney’s U test), and very frequently, exhibited a negative slope conductance region in its I-V plot (Fig. 3Bd) as seen with voltage-clamp recordings. Moreover, 60% of this class of neurons was immunoreactive to parvalbumin antibodies (Fig. 3D), whereas the first group never was (Fig. 3C). Parvalbumin-positive cells of the SNr have been shown to contain GAD67 and be GABAergic projection neurons (Gerfen et al. 1985Go; Gonzalez-Hernandez and Rodriguez 2000Go; Hontanilla et al. 1997Go; Parent et al. 1996Go; Rajakumar et al. 1994Go). These data then suggest that the most abundant neuron recorded was the GABAergic projection neuron of the SNr (Nakanishi et al. 1987Go; Richards et al. 1997Go). On the other hand, and according to previous studies (Nakanishi et al. 1987Go; Richards et al. 1997Go; Rohrbacher et al. 2000Go), the first class of neurons probably belonged to dopaminergic neurons present in the SNr. Finally, these neuron classes did not differ significantly in their mean membrane potentials as measured between threshold and maximal amplitude of the interspike interval during spontaneous firing: –55 ± 5 versus –58 ± 2 mV for the putative dopaminergic and GABAergic samples, respectively. Whole neuron input resistances were RN = 169 ± 14 M{Omega} (n = 5) for the putative dopaminergic neurons and 365 ± 20 M{Omega} (n = 10) for the putative GABAergic neurons, respectively (P < 0.002, Mann-Whitney U test). In the present work, we only refer to synaptic responses recorded in the most abundant class of neurons of the SNr, i.e., the putative GABAergic neurons. Some of them were reconstructed with a camera lucida, and three representative neurons are illustrated in Fig. 4. Somata of SNr neurons (Fig. 4A), mainly recorded in the anterior part of the SNr (Fig. 4B; see preceding text), were seen to be parvalbumin immunoreactive cells, had triangular or fusiform somata under infrared videomicroscopy with a major diameter of 18–22 µm. After reconstruction (Fig. 4C), they were observed to have four to six main dendritic trunks that extended rostrocaudally as seen in a parasagittal slice. Dendrites ramify into secondary branches and the axon (Fig. 4C, gray neurites) commonly emerged from a primary dendrite. In some cases, it could be followed out of the borders of the SNr. Together with their immunoreactivity to parvalbumin, these anatomical characteristics supported the view that this class of neuron was the SNr projection neuron: the output of the basal ganglia.

Activation of dopaminergic D1-class receptors facilitates evoked EPSCs

Activation of D1-class receptors with the D1-agonist, SKF-38393 (1 µM; saturating concentration), reversibly increased peak EPSC amplitude by ~30%, from mean 106 ± 17 to 140 ± 23 pA (Fig. 5, A and B; n = 10; P < 0.005; Wilcoxon’s t-test). In the presence of the D1-class receptor antagonist, SCH 23390 (1 µM), SKF-38393 had no effect (n = 4; not shown but see Fig. 8), indicating that this action was specific. The effect of the D1-class agonist was accompanied by a 15% decrease in the PPR from 1.3 ± 0.08 to 1.1 ± 0.09 because the first response was enhanced more than the second (Fig. 5, C and D; n = 8; P < 0.02; Wilcoxon t-test). Superimposed records in Fig. 5C demonstrate that neither shape nor decay of EPSCs were affected during the action of SKF-38393 (1 µM), and whole cell input resistance (RN), as tested with a hyperpolarizing command, did not change. Therefore the present experiments suggest that activation of D1-class receptors presynaptically located at the subthalamonigral terminals enhances glutamatergic transmission between STN and SNr.


Figure 5
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FIG. 5. Activation of dopaminergic D1-class receptors facilitates evoked subthalamonigral EPSCs. A: time course of action of 1 µM (RS)-2,3,4,5-tetrahydro-7,8-dihydroxy-1-phenyl-1H-3-benzazepine hydrochloride (SKF-38393) (saturating concentration), a D1-receptor agonist, on evoked EPSC amplitude. Black bar indicates the time of agonist application, and top traces are representative records taken at indicated numbers on the time course. B: histogram summarizing the experimental sample: D1-agonist produces a significant increase in EPSC. C: responses to paired-pulse stimulation in control and in the presence of 1 µM SKF-38393 (gray trace at the middle). Bottom trace shows a superimposition of the above traces. There was no change in EPSC time course during agonist application. D: change in the paired-pulse ratio (2nd EPSC/1st EPSC) in a sample of neurons was always in the same direction: enhancement of synaptic depression.

 

Figure 8
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FIG. 8. Tonic activation of dopamine receptors. A: time course of the effects of subsequent application of, 1st, S-(–)-5-anino-sulfonyl-N-[(1-ethyl-2-pyrrolidinyl)-methyl]-2-methoxybenzamide (1 µM), and 2nd, SCH 23390 R-(+)-7-chloro-8-hydroxy-3-methyl-1-phenyl-2,3,4,5-tetra-hydro-1H-3-benzazepine hydrochloride (1 µM) on the amplitude of evoked EPSCs. Top: recordings obtained at the numbers indicated in the time course. B: histogram summarizing a sample of experiments (*P < 0.01). Note that in this case, each point represents the average of 2 min recordings.

 
Activation of dopaminergic D2-class receptors depresses evoked EPSCs

Activation of D2-class receptors with the D2-agonist, quinpirole (1 µM; above saturating concentration), reversibly decreased peak EPSC amplitude by ~25%, from mean 89 ± 17 to 67 ± 9 pA (Fig. 6, A and B; n = 9; P < 0.008; Wilcoxon’s t-test). In the presence of the D2-class receptor antagonist, sulpiride (1 µM), quinpirole had no effect (n = 5; not shown but see Fig. 8); indicating a specific action. The effect of the D2-class agonist was accompanied by a 38% increase in PPR because the first response decreased more than the second (Fig. 6, C and D; n = 7; P < 0.02; Wilcoxon’s t-test). Superimposed records in Fig. 6C demonstrate that neither shape nor decay of EPSCs were affected during the action of quinpirole (1 µM). RN, as tested with a hyperpolarizing command, did not change either. The experiments suggest that the activation of D2-class receptors located presynaptically at subthalamonigral terminals are capable to decrease glutamatergic transmission between STN and SNr.


Figure 6
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FIG. 6. Activation of dopaminergic D2-class receptors depresses evoked subthalamonigral EPSCs. A: time course of action of 1 µM trans-(–)-4aR-4,4a,5,6,7,8,8a,9-octahydro-5-propyl-1H-pyrazolo(3,4-g)quinoline (quinpirole; saturating concentration), a D2-receptor agonist, on evoked EPSC amplitude. Black bar indicates the time of agonist application, and top traces are representative records taken at indicated numbers on the time course. B: histogram summarizing the experimental sample: D2-agonist produces a significant decrease in EPSC. C: responses to paired-pulse stimulation in control and in the presence of 1 µM quinpirole (gray trace at the middle). Bottom trace shows a superimposition of the above traces. There was no change in EPSC time course during agonist application. D: change in the paired-pulse ratio (2nd EPSC/1st EPSC) in a sample of neurons was always in the same direction: enhancement of synaptic facilitation.

 
Mean-variance analysis

Trains of evoked EPSCs were recorded from SNr neurons on STN stimulation (see METHODS). Figure 7, A and E, illustrates that at 25 Hz in the control condition, the short-term dynamics of the excitatory subthalamonigral connection is synaptic depression. EPSCs trains were used to perform mean-variance analyses (see METHODS) (see also Koos et al. 2004Go) to independently confirm if modulatory dopaminergic actions were presynaptic (Clements and Silver 2000Go). The D1-class receptor agonist, SKF-38393 (1 µM), enhanced synaptic depression by increasing the initial response (cf. Fig. 7, AC). In contrast, the D2-class receptor agonist, quinpirole (1 µM), reduced short-term depression by decreasing EPSCs (cf., Fig. 7, EG). Mean-variance plot shows that most control (full circles) and agonists (empty circles) data points cluster together at the initial part of the fitted parabolas (Fig. 7, D and H; controls = black lines; dopamine agonists = gray lines), so that the initial slopes, determined by the A parameter (Eq. 1), were not significantly different. Weighted quantal amplitudes, QW (Clements and Silver 2000Go), calculated with initial slopes (Eq. 2) had a range of 5–9 pA (n = 4); similar to quantal amplitudes reported for other glutamatergic synapses in the brain (e.g., Bolshakov and Siegelbaum 1995Go; Paulsen and Heggelund 1994Go). For example, in the experiment illustrated in Fig. 7D,QW was 6 ± 0.6 and 6 ± 0.5 pA for control and SKF-38393, respectively. In the experiment of Fig. 7H, QW was 9 ± 0.6 for the control and 9 ± 2 pA for quinpirole, respectively. In contrast, the width of the parabolas, determined by parameter B (Eq. 1), was significantly different for the same data as it is seen in Fig. 7, D and H. When B was used to approximate the number of release sites (Eq. 3), the D1-agonist produced an increase in N from 19 ± 3 to 29 ± 4 (Fig. 7D; P < 0.01; Student t for fitted parameter B), and conversely, the D2-agonist produced a decrease in N from 11 ± 3 to 4 ± 1 (Fig. 7H; P < 0.01; Student t for fitted parameter B). Therefore it was concluded that changes were presynaptic because a change in N was detected without a change in QW. Dopamine enhances or depresses the activity of release sites.

However, this method could not detect changes in the average probability of release sites because average probability (P), assuming binomial distribution, and approximated with both A and B parameters (Eq. 3) (Clemens and Silver 2000Go) did not show significant differences. Thus in the presence of the D1-agonist P changed from 0.22 ± 0.1 to 0.17 ± 0.1, and in the presence of the D2-agonist, it changed from 0.22 ± 0.05 to 0.29 ± 0.05. Further quantal analyses have to be performed to discard or show changes in release probabilities, perhaps at the single bouton level. However, for the goals of the present work, mean-variance analysis confirmed that dopaminergic modulation of subthalamonigral transmission occurs presynaptically.

Two questions remained, however, first, if the same SNr neuron could receive terminals with both receptor classes, and second, if the dopaminergic modulation is constitutively active, or else, if it is only responsive to sudden changes in dopamine levels.

Dopamine receptors can be tonically active

STN neurons exhibit tonic activity (Beurrier et al. 1999Go; Bevan and Wilson 1999Go). This activity may induce a continuous excitation of SNr and SNc neurons. Continuous activation of dopaminergic neurons in the SNr or SNc (Iribe et al. 1999Go; Kanazawa et al. 1976Go) may produce a tonic extracellular level of dopamine in SNr (Falkenburger et al. 2001Go; Mintz et al. 1986Go; Richards et al. 1997Go; Rohrbacher et al. 2000Go; Rosales et al. 1994Go, 1997Go). Accordingly, we explored whether dopamine receptors modulating subthalamonigral connections were partially active in the control (unstimulated) situation. This was explored with dopamine receptor antagonists administered in a sequential manner. Figure 8A shows that the D2 antagonist, sulpiride (1 µM), enhanced peak EPSC amplitude by ~44% from 101 ± 9 to 146 ± 13 pA (Fig. 8, A and B; n = 9; P < 0.01, Friedman's statistics with post hoc Student-Newman-Keuls test), as if it blocked a tonic D2 action thus leaving a tonic D1-action to predominate. Moreover, the subsequent addition of SCH 23390 (1 µM), in the continuous presence of sulpiride, reduced peak EPSC amplitude by ~15% from 146 ± 13 to 124 ± 12 pA (Fig. 8, A and B; n = 9; P < 0.01, Friedman’s statistics with post hoc Student-Newman-Keuls test for pairwise comparison between sulpiride and sulpiride plus SCH 23390 samples), as though it blocked the D1 action. Note that in the presence of both receptor antagonists, EPSC amplitude is above the control level (Fig. 8A3); suggesting that D2-action may predominate in the control. Control amplitude is recovered on wash out. The experiments suggest that subthalamonigral transmission is continuously being tuned by endogenous dopamine levels. They also show that terminals making synaptic contacts with single postsynaptic SNr neurons could posses D1- or D2- class receptors. Further research is needed to see if both receptor classes can be located at the same terminal.

Dopamine agonists were also added sequentially while observing the PPR (Fig. 9). It was seen that SKF-38393 (1 µM) could turn paired-pulse facilitation seen in the control (Fig. 9A, top) into paired-pulse depression (Fig. 9A, middle). The subsequent addition of quinpirole (1 µM), in the continuous presence of SKF 38393, reduced the synaptic events enlarged by the D1-agonist and also decreased the amount of D1-mediated synaptic depression (Fig. 9A, bottom). Superimposed traces can be seen in Fig. 9B. To observe if these actions may affect transmission physiologically, a similar experiment was performed in current-clamp mode. It was evident that these presynaptic effects could influence SNr output: D1-class receptor action could change a subthreshold EPSP into a threshold EPSP capable to sustain firing, whereas D2-class receptor actions abolished D1 actions returning the EPSP into the subthreshold range (Fig. 9C). Thus by controlling subthalamonigral connections, dopamine may control the firing of basal ganglia output neurons.


Figure 9
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FIG. 9. Subthalamonigral terminals with D1 and D2 receptors make synaptic contacts with a single postsynaptic neuron. A1: pair of EPSC in the control condition exhibiting paired-pulse facilitation. A2: addition of 1 µM SKF-38393 enhanced both EPSCs and turned paired-pulse facilitation into mild paired-paired pulse depression. A3: subsequent addition of 1 µM quinpirole, in the continuous presence of SKF-38393, reversed both the amplitude increase in EPSCs and paired-pulse depression. B: superimposition of traces in A, 2 and 3. C: a similar experiment was performed with a subthreshold subthalamonigral excitatory postsynaptic potential (EPSP). Note that D1-action transformed the subthreshold EPSP into a suprathreshold EPSP, capable to elicit repetitive firing. A subsequent addition of quinpirole returned the suprathreshold EPSP into the subthreshold range again.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
The present results show that dopamine in the subtantia nigra pars reticulata presynaptically modulates the glutamatergic inputs coming from the subthalamic nucleus. Both D1 and D2 class receptors participate. D1-class receptors facilitate, whereas D2-class receptors reduce, the excitatory subthalamonigral transmission onto SNr neurons. Physiologically, both receptors may be acting simultaneously to dynamically tune, in real time, the output of the basal ganglia. Interestingly, a sizable component of the subthalamonigral input is mediated by NMDA receptors and SNr neurons display an intrinsic negative slope conductance region in their I-V plot.

Presynaptic control by dopamine

A great body of literature has proven that the paired-pulse protocol is a reliable method to demonstrate presynaptic modulation in synapses (e.g., Dunwiddie and Haas 1985Go; reviewed in Kamiya and Zucker 1994Go; Zucker 1999Go). For example, this protocol has been used to demonstrate a presynaptic site of action for both D1 and D2 receptors in various nuclei of the basal ganglia such as the recurrent axon collaterals that interconnect striatal projection neurons (Guzman et al. 2003Go; Salgado et al. 2005Go), the synaptic inputs that target striatal cholinergic interneurons (Pisani et al. 2000Go; Momiyama and Koga 2001Go), the excitatory transmission onto dopamine neurons of the ventral tegmental area (Koga and Momiyama 2000Go), or the inhibitory striatonigral transmission (Radnikow and Misgeld 1998Go). In many cases, additional procedures were used to further demonstrated the validity of the paired-pulse protocol such as frequency analyses of spontaneous events in the striatopallidal transmission (Cooper and Standford 2001Go), or KO mice, 6-hydroxy-dopamine lesions, or fluorescence methods, in the corticostriatal transmission (Bamford et al. 2004Go; Tang et al. 2001Go). In the present paper, mean-variance analysis (Clements and Silver 2000Go) was used to further corroborate the findings of the paired-pulse protocol. It was found that both methods coincide in identifying a presynaptic site of action for the actions of dopamine, thus adding to the tests that the paired-pulse protocol has endured.

The present results show that activation of D1-class receptors facilitates, whereas activation of D2-class receptors depresses, subthalamonigral excitatory transmission onto SNr neurons. In contrast, glutamatergic cortical terminals only posses D2-class receptors (Bamford et al. 2004Go; Cepeda et al. 2001Go; Flores-Hernandez et al. 1997Go; Tang et al. 2001Go); showing that dopaminergic receptor distribution is selective: not all excitatory terminals have both receptor classes.

Inhibitory terminals of axon collaterals that interconnect neostriatal neurons may also posses both receptors (Guzman et al. 2003Go). However, they are probably segregated into different terminals because neurons are separated into the striatopallidal or indirect pathway mainly possessing D2-type receptors and the striatonigral or direct pathway mainly possessing D1-type receptors (Gerfen et al. 1990Go). Further investigation is necessary to see if this is the case for subthalamonigral terminals (e.g., with EPSCs evoked with minimal stimulation). In the present work, we show that both receptor classes could be detected on terminals making synapses onto the same postsynaptic SNr neuron similarly to the findings in neostriatal neurons (Guzman et al. 2003Go): inputs onto the same neuron may be enhanced or repressed by dopamine. However, in contrast to neostriatal projection cells, many presynaptic subthalamic neurons posses both D1- and D2 -class receptors (Baufreton et al. 2003Go; Ciliax et al. 2000Go; Flores et al. 1999Go; Hurd et al. 2001Go; Khan et al. 2000Go; Svenningsson and Le Moine 2002Go).

Physiological consequences

Although the STN is a documented main source of excitation for both dopaminergic SNc neurons (Iribe et al. 1999Go; Kanazawa et al. 1976Go; Smith and Grace 1992Go) and GABAergic SNr projection neurons (Bevan et al. 1994Go; Iribe et al. 1999Go; Kita and Kitai 1987Go; Robledo and Feger 1990Go), other excitatory afferents have not been discarded. Nevertheless, stimulation of the subthalamic nucleus has been shown to increase the release of dopamine in the SNr (Falkenburger et al. 2001Go; Johnson et al. 1992Go; Mintz et al. 1986Go; Rosales et al. 1994Go, 1997Go). Dopamine released in the SNr may in turn control presynaptic receptors at subthalamonigral (this work) and striatonigral terminals (Floran et al. 1990Go; Radnikow and Misgeld 1998Go), thus controlling the activity of SNr neurons. In return, SNr neurons activity may control SNc neurons firing (Tepper et al. 1995Go). Therefore these interconnections could make the basis for a local circuit that regulates basal ganglia output. Dopamine cells may fire tonically or in bursts (Pucak and Grace 1994Go), determining dopamine levels. Dopamine levels may rule which receptors are preferentially activated.

At present, it is hard to speculate the physiological significance for such a segregation of presynaptic dopamine receptors: D1-class receptors at both striatonigral (Floran et al. 1990Go; Hernandez-Lopez et al. 1997Go; Radnikow and Misgeld 1998Go) and subthalamonigral afferents (this work), whereas D2-class receptors only at subthalamonigral afferents. However, the presence of D1-class receptors on subthalamonigral afferents may explain some contradictory data in the literature. Thus iontophoretic application of a D1-agonist (SKF-38393) into the SNr increases the firing of pars reticulata neurons (Martin and Waszczak 1994Go), suggesting that D1-action on the subthalamonigral pathway predominates in this situation. Nonetheless when given by a systemic route, D1-agonists inhibit SNr neurons firing (Weick et al. 1990Go), suggesting that the most massive D1-receptor activation of the striatonigral pathway predominates in this situation (Floran et al. 1990Go; Hernandez-Lopez et al. 1997Go; Radnikow and Misgeld 1998Go). Moreover, the inhibitory effects of systemic D1-agonist on the firing of SNr neurons can be potentiated by the co-administration of D2-agonists (Weick and Walters 1987aGo,bGo). The present results show that this latter action may also result from inhibition of the subthalamonigral input by D2 receptors.

Further reinforcing the view of diverse D1-class receptor actions, it has been posited that D1-class receptors present at subthalamonigral terminals belong perhaps to the D5-type (Baufreton et al. 2003Go; Ciliax et al. 2000Go; Khan et al. 2000Go; Svenningsson and Le Moine 2002Go). D5-type receptors are reported to have an opposite effect to D1-type receptors in locomotion: they repress not promote movement (Dziewczapolski et al. 1998Go). And in fact, D1-class actions on STN neurons and terminals lead to burst-firing (Baufreton et al. 2003Go). These actions would tend to increase SNr neurons firing and thus inhibit movement.

Contribution of NMDA receptors to the evoked EPSC

The blockade of AMPA/kainate receptors with CNQX did not completely block subthreshold EPSC evoked at –80-mV holding potential. The blockade of NMDA receptors with D-AP-5 was necessary to block all EPSC. This suggests that in contrast to other synapses (Bonci and Malenka 1999Go; Kita 1996Go; Koga and Momiyama 2000Go; Zhu and Pan 2004Go), subthalamonigral transmission has an important contribution of NMDA current even at subthreshold membrane potentials (cf. Maccaferri and Dingledine 2002Go). In addition, many SNr neurons displayed a negative slope conductance region in their I-V plot. These two characteristics make SNr neurons prone to be activated by tonic excitatory inputs coming from the STN (Beurrier et al. 1999Go).

In conclusion, dopamine can affect the output from the basal ganglia modulating not only the GABAergic input from the striatum but also the glutamatergic input from the subthalamic nucleus. These effects may help to understand the actions of dopamine in motor control and can be helpful to understand the changes during motor deficits such as Parkinson’s Disease.


    GRANTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
This work was supported in part by Consejo Nacional de Ciencia y Tecnología Grants G34706 [GenBank] and 42636 to J. Aceves and E. Galarraga, respectively, and by the Dirección General de Asuntos del Personal Académico. Further support was provided by Universidad Nacional Autónoma de México Grants IN201603 to J. Bargas and IN200803 to E. Galarraga as well as Stem Cell Research Group Universidad Nacional Autónoma de México /IMPULSA 02 grants to E. Galarraga and J. Bargas.


    ACKNOWLEDGMENTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
The technical assistance of A. Sierra and A. Laville is greatly appreciated. L. Carrillo designed the software in the LabView environment.


    FOOTNOTES
 
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Address for reprint requests and other correspondence: J. Bargas. Biofísica. Instituto de Fisiología Celular UNAM. PO Box: 70-253. México City, DF 04510 México (E-mail: jbargas{at}ifc.unam.mx)


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