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Wade G Regehr

Publications and source records attributed to Wade G Regehr.

At least 19 recordsLinked to original sources

Brief bursts of parallel fiber activity trigger calcium signals in bergmann glia.

Changes in synaptic strength during ongoing activity are often mediated by neuromodulators. At the synapse between cerebellar granule cell parallel fibers (PFs) and Purkinje cells (PCs), brief bursts of stimuli can evoke endocannabinoid release from PCs and GABA release from interneurons that both inhibit transmission by activating presynaptic G-protein-coupled receptors. Studies in several brain regions suggest that synaptic activity can also evoke calcium signals in astrocytes, thereby causing them to release a transmitter, which acts presynaptically to regulate neurotransmitter release. In the cerebellum, Bergmann glia cells (BGs) are intimately associated with PF synapses. However, the mechanisms leading to calcium signals in BGs under physiological conditions and the role of BGs in regulating ongoing synaptic transmission are poorly understood. We found that brief bursts of PF activity evoke calcium signals in BGs that are triggered by the activation of metabotropic glutamate receptor 1 and purinergic receptors and mediated by calcium release from IP3-sensitive internal stores. We found no evidence for modulation of release from PFs mediated by BGs, even when endocannabinoid- and GABA-mediated presynaptic modulation was prominent. Thus, despite the fact that PF activation can reliably evoke calcium transients within BGs, it appears that BGs do not regulate synaptic transmission on the time scale of seconds to tens of seconds. Instead, endocannabinoid release from PCs and GABA release from molecular layer interneurons provide the primary means of feedback that dynamically regulate release from PF synapses.

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Sustained elevation of dendritic calcium evokes widespread endocannabinoid release and suppression of synapses onto cerebellar Purkinje cells.

Endocannabinoids can act as retrograde messengers that allow postsynaptic cells to regulate the strength of their synaptic inputs. In the cerebellum, Purkinje cells (PCs) release endocannabinoids through two mechanisms. Synaptic activation evokes local endocannabinoid release that relies on a pathway that involves the metabotropic glutamate receptor mGluR1 and phospholipase-C (PLC). In contrast, depolarization evokes endocannabinoid release from the entire dendritic arbor. This leads to depolarization-induced suppression of inhibitory (DSI) and excitatory (DSE) synapses by a mechanism that does not involve mGluR1 or PLC. This latter mechanism of endocannabinoid release has only been observed under artificial conditions that transiently elevate postsynaptic calcium to >5 microm. Here, we tested the possibility that this mechanism could lead to retrograde inhibition in response to more realistic calcium signals. At both climbing fiber and inhibitory synapses onto PCs, we found that prolonging the elevation of calcium significantly lowered the peak calcium required to evoke PLC-independent endocannabinoid release. This suggests that the mechanism of endocannabinoid release involved in DSI and DSE is likely to evoke endocannabinoid release in response to physiologically relevant levels of calcium. When dendritic calcium was elevated to 0.4-1 microm for 15 s or more, endocannabinoid release from PCs selectively suppressed inhibitory synapses. This suggests that inhibitory synapses are more sensitive to prolonged calcium increases. Thus, in contrast to localized retrograde inhibition evoked by synaptic activation, modest but sustained calcium elevation could globally suppress inhibitory synapses onto PCs.

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Retrograde endocannabinoid signaling in the cerebellar cortex.

The regulation of Purkinje cell activity is important for motor behavior and motor learning. As the sole output cell of the cerebellar cortex, Purkinje cell firing is controlled by parallel fibers and climbing fiber synapses, and by inhibitory interneurons. Depolarization of Purkinje cells evokes endocannabinoid release that activates cannabinoid CB1 receptors expressed on boutons of its synaptic inputs to transiently decrease neurotransmitter release. In addition, associative activation of the excitatory inputs can liberate endocannabinoids to decrease synaptic strength for a prolonged duration. Here we review the different mechanisms of evoking endocannabinoid release and discuss the physiological role of endocannabinoids in mediating global modulation of synaptic strength, localized short-term associative plasticity and cerebellar long term depression.

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The influence of multivesicular release and postsynaptic receptor saturation on transmission at granule cell to Purkinje cell synapses.

The properties of a synapse are crucially dependent on whether an action potential can trigger the release of multiple vesicles at an individual release site [multivesicular release (MVR)] and whether fusion of a single vesicle leads to receptor saturation. MVR and receptor saturation both occur at some high p synapses, but it is not known whether they also occur at low p synapses. Here we examine this issue at the low p synapse between parallel fibers and Purkinje cells using the low-affinity antagonist DGG (gamma-D-glutamylglycine) to relieve AMPA receptor saturation. We find that the presence of MVR and receptor saturation at this synapse alters the calcium dependence of synaptic transmission and reduces the extent of facilitation. These findings establish that MVR and postsynaptic receptor saturation can influence transmission even at synapses with a low initial probability of release and suggest that these properties may be common at synapses in the mammalian brain.

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Endocannabinoids control the induction of cerebellar LTD.

The long-term depression (LTD) of parallel fiber (PF) synapses onto Purkinje cells plays a central role in motor learning. Endocannabinoid release and LTD induction both depend upon activation of the metabotropic glutamate receptor mGluR1, require postsynaptic calcium increases, are synapse specific, and have a similar dependence on the associative activation of PF and climbing fiber synapses. These similarities suggest that endocannabinoid release could account for many features of cerebellar LTD. Here we show that LTD induction is blocked by a cannabinoid receptor (CB1R) antagonist, by inhibiting the synthesis of the endocannabinoid 2-arachidonyl glycerol (2-AG), and is absent in mice lacking the CB1R. Although CB1Rs are prominently expressed presynaptically at PF synapses, LTD is expressed postsynaptically. In contrast, a previously described transient form of inhibition mediated by endocannabinoids is expressed presynaptically. This indicates that Purkinje cells release 2-AG that activates CB1Rs to both transiently inhibit release and induce a postsynaptic form of LTD.

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Conventional synapses for unconventional cells.

Powerful synapses between climbing fibers (CF) and Purkinje cells are crucial to cerebellar motor learning. In this issue of Neuron, Lin and colleagues provide compelling evidence for the existence of direct synaptic contacts between CFs and NG2-expressing glia cells, adding to the intrigue of neuro-glial interactions.

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Timing and specificity of feed-forward inhibition within the LGN.

Local interneurons provide feed-forward inhibition from retinal ganglion cells (RGCs) to thalamocortical (TC) neurons, but questions remain regarding the timing, magnitude, and functions of this inhibition. Here, we identify two types of inhibition that are suited to play distinctive roles. We recorded excitatory and inhibitory postsynaptic currents (EPSCs/IPSCs) in TC neurons in mouse brain slices and activated individual RGC inputs. In 34% of TC neurons, we identified EPSCs and IPSCs with identical thresholds that were tightly correlated, indicating activation by the same RGC. Such "locked" IPSCs occurred 1 ms after EPSC onset. The remaining neurons had only "nonlocked" inhibition, in which EPSCs and IPSCs had different thresholds, indicating activation by different RGCs. Nonlocked inhibition may refine receptive fields within the LGN by providing surround inhibition. In contrast, dynamic-clamp recordings suggest that locked inhibition improves the precision of synaptically evoked responses in individual TC neurons by eliminating secondary spikes.

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Associative short-term synaptic plasticity mediated by endocannabinoids.

Associative learning is important on rapid timescales, but no suitable form of short-term plasticity has been identified that is both associative and synapse specific. Here, we assess whether endocannabinoids can mediate such plasticity. In the cerebellum, bursts of parallel fiber (PF) activity evoke endocannabinoid release from Purkinje cell dendrites that results in retrograde synaptic inhibition lasting seconds. We find that the powerful climbing fiber (CF) to Purkinje cell synapse regulates this inhibition. Compared to PF stimulation alone, coactivation of PF and CF synapses greatly enhanced endocannabinoid-mediated inhibition of PF synapses. Retrograde inhibition was restricted to PFs activated within several hundred milliseconds of CF activation. This associative plasticity reflects two aspects of calcium-dependent endocannabinoid release. First, PF-mediated activation of metabotropic glutamate receptors locally reduced the dendritic calcium levels required for endocannabinoid release. Second, CF and PF coactivation evoked localized supralinear dendritic calcium signals. Thus, endocannabinoids mediate transient associative synaptic plasticity.

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Dynamic-clamp analysis of the effects of convergence on spike timing. I. Many synaptic inputs.

Precise action potential timing is crucial in sensory acuity and motor control. Convergence of many synaptic inputs is thought to provide a means of decreasing spike-timing variability ("jitter"), but its effectiveness has never been tested in real neurons. We used the dynamic-clamp technique in mouse auditory brain stem slices to examine how convergence controls spike timing. We tested the roles of several synaptic properties that are influenced by ongoing activity in vivo: the number of active inputs (N), their total synaptic conductance (G(tot)), and their timing, which can resemble an alpha or a Gaussian distribution. Jitter was reduced most with large N, up to a factor of over 20. Variability in N is likely to occur in vivo, but this added little jitter. Jitter reduction also depended on the timing of inputs: alpha-distributed inputs were more effective than Gaussian-distributed inputs. Furthermore, the two distributions differed in their sensitivity to synaptic conductance: for Gaussian-distributed inputs, jitter was most reduced when G(tot) was 2-3 times threshold, whereas alpha-distributed inputs showed continued jitter reduction with higher G(tot). However, very high G(tot) caused the postsynaptic cell to fire multiple times, particularly when the input jitter outlasted the cell's refractory period, which interfered with jitter reduction. G(tot) also greatly affected the response latency, which could influence downstream computations. Changes in G(tot) are likely to arise in vivo through activity-dependent changes in synaptic strength. High rates of postsynaptic activity increased the number of synaptic inputs required to evoke a postsynaptic response. Despite this, jitter was still effectively reduced, particularly in cases when this increased threshold eliminated secondary spikes. Thus these studies provide insight into how specific features of converging inputs control spike timing.

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Dynamic-clamp analysis of the effects of convergence on spike timing. II. Few synaptic inputs.

Sensory pathways in the nervous system possess mechanisms for decreasing spike-timing variability ("jitter"), probably to increase acuity. Most studies of jitter reduction have focused on convergence of many subthreshold inputs. However, many neurons receive only a few active inputs at any given time, and jitter reduction under these conditions is not well understood. We examined this issue using dynamic-clamp recordings in slices from mouse auditory brain stem. Significant jitter reduction was possible with as few as two inputs, provided the inputs had several features. First, jitter reduction was greatest and most reliable for supra-threshold inputs. Second, significant jitter reduction occurred when the distribution of input times had a rapid onset, i.e., for alpha- but not for Gaussian-distributed inputs. Third, jitter reduction was compromised unless late inputs were suppressed by the refractory period of the cell. These results contrast with the finding in the previous paper in which many subthreshold inputs contribute to jitter reduction, whether alpha- or Gaussian-distributed. In addition, convergence of many subthreshold inputs could fail to elicit any postsynaptic response when the input distribution outlasted the refractory period of the cell. These significant differences indicate that each means of reducing jitter has advantages and disadvantages and may be more effective for different neurons depending on the properties of their inputs.

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Synaptic computation.

Neurons are often considered to be the computational engines of the brain, with synapses acting solely as conveyers of information. But the diverse types of synaptic plasticity and the range of timescales over which they operate suggest that synapses have a more active role in information processing. Long-term changes in the transmission properties of synapses provide a physiological substrate for learning and memory, whereas short-term changes support a variety of computations. By expressing several forms of synaptic plasticity, a single neuron can convey an array of different signals to the neural circuit in which it operates.

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Variance-mean analysis in the presence of a rapid antagonist indicates vesicle depletion underlies depression at the climbing fiber synapse.

Many types of synapses throughout the nervous system are transiently depressed during high-frequency stimulation. Several mechanisms have been proposed to account for this depression, including depletion of release-ready vesicles. However, numerous studies have raised doubts about the importance of depletion in depression of central synapses and have implicated alternative mechanisms, such as decreased release probability. We use variance-mean analysis to determine the mechanism of depression at the climbing fiber to Purkinje cell synapse. We find that postsynaptic receptor saturation makes it difficult to distinguish between a decrease in available vesicles and a reduction in release probability. When AMPA receptor saturation is relieved with a low-affinity antagonist, variance-mean analysis reveals that depression arises from a decrease in the number of release-ready vesicles. Vesicle depletion is prominent, despite numerous docked vesicles at each release site, due to multivesicular release. We conclude that vesicle depletion can contribute significantly to depression of central synapses.

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Endocannabinoids inhibit transmission at granule cell to Purkinje cell synapses by modulating three types of presynaptic calcium channels.

At many central synapses, endocannabinoids released by postsynaptic cells inhibit neurotransmitter release by activating presynaptic cannabinoid receptors. The mechanisms underlying this important means of synaptic regulation are not fully understood. It has been shown at several synapses that endocannabinoids inhibit neurotransmitter release by reducing calcium influx into presynaptic terminals. One hypothesis maintains that endocannabinoids indirectly reduce calcium influx by modulating potassium channels and narrowing the presynaptic action potential. An alternative hypothesis is that endocannabinoids directly and selectively inhibit N-type calcium channels in presynaptic terminals. Here we test these hypotheses at the granule cell to Purkinje cell synapse in cerebellar brain slices. By monitoring optically the presynaptic calcium influx (Ca(influx)) and measuring the EPSC amplitudes, we found that cannabinoid-mediated inhibition arises solely from reduced presynaptic Ca(influx). Next we found that cannabinoid receptor activation does not affect the time course of presynaptic calcium entry, indicating that the reduced Ca(influx) reflects inhibition of presynaptic calcium channels. Finally, we assessed the classes of presynaptic calcium channels inhibited by cannabinoid receptor activation via peptide calcium channel antagonists. Previous studies established that N-type, P/Q-type, and R-type calcium channels are all present in granule cell presynaptic boutons. We found that cannabinoid activation reduced Ca(influx) through N-type, P/Q-type, and R-type calcium channels to 29, 60, and 55% of control, respectively. Thus, rather than narrowing the presynaptic action potential or exclusively modulating N-type calcium channels, CB1 receptor activation inhibits synaptic transmission by modulating all classes of calcium channels present in the presynaptic terminal of the granule cell to Purkinje cell synapse.

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Presynaptic calcium measurements at physiological temperatures using a new class of dextran-conjugated indicators.

Presynaptic calcium (Ca(pre)) has been studied extensively because of its role in triggering and modulating neurotransmitter release. Although calcium regulation and calcium-driven processes can be strongly temperature dependent, technical difficulties have limited most studies of Ca(pre) to temperatures well below the physiological range. Here we assessed the use of membrane-permeant acetoxymethyl (AM) indicators and dextran-conjugated indicators for measuring Ca(pre) at physiological temperatures. A comparison of these two types of indicators loaded into parallel fibers of rat cerebellar slices revealed striking differences. AM indicators were rapidly extruded from axons and presynaptic terminals and therefore cannot be used for long-term measurements at high temperatures. In contrast, dextran-conjugated indicators were retained within parallel fibers and are therefore well suited to measuring Ca(pre) at physiological temperatures. The limited number of dextran indicators available prompted us to synthesize three new indicators that show peak emission in the red (575-600 nm). These indicators allow for simultaneous use of multiple calcium indicators that can be readily distinguished on the basis of excitation and emission wavelengths, use of excitation and emission wavelengths that are relatively insensitive to tissue autofluorescence, and measurements in systems with expression of green fluorescent protein (GFP). Thus we find that dextran-conjugated indicators are well suited to long-term recordings of Ca(pre) at physiological temperatures and that the development of new red indicators greatly extends their utility.

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Structural contributions to short-term synaptic plasticity.

Synaptic ultrastructure is critical to many basic hypotheses about synaptic transmission. Various aspects of synaptic ultrastructure have also been implicated in the mechanisms of short-term plasticity. These forms of plasticity can greatly affect synaptic strength during ongoing activity. We review the evidence for how synaptic ultrastructure may contribute to facilitation, depletion, saturation, and desensitization.

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Brief presynaptic bursts evoke synapse-specific retrograde inhibition mediated by endogenous cannabinoids.

Many types of neurons can release endocannabinoids that act as retrograde signals to inhibit neurotransmitter release from presynaptic terminals. Little is known, however, about the properties or role of such inhibition under physiological conditions. Here we report that brief bursts of presynaptic activity evoked endocannabinoid release, which strongly inhibited parallel fiber-to-Purkinje cell synapses in rat cerebellar slices. This retrograde inhibition was triggered by activation of either postsynaptic metabotropic or ionotropic glutamate receptors and was restricted to synapses activated with high-frequency bursts. Thus, endocannabinoids allow neurons to inhibit specific synaptic inputs in response to a burst, thereby dynamically fine-tuning the properties of synaptic integration.

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