Literature DB >> 29403360

Commentary: Synaptic Excitation in Spinal Motoneurons Alternates with Synaptic Inhibition and Is Balanced by Outward Rectification during Rhythmic Motor Network Activity.

Rune W Berg1.   

Abstract

Entities:  

Keywords:  balanced networks; central pattern generators (CPG); motor control; patch-clamp; rhythm generation; spinal cord; voltage-clamp

Mesh:

Year:  2018        PMID: 29403360      PMCID: PMC5778114          DOI: 10.3389/fncir.2018.00001

Source DB:  PubMed          Journal:  Front Neural Circuits        ISSN: 1662-5110            Impact factor:   3.492


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In a recent study, Guzulaitis and Hounsgaard (2017) (GH2017) used whole cell voltage clamp (VC) on the reversal potential for inhibition or excitation to assess their synaptic currents (Johnston and Wu, 1995; Brette and Destexhe, 2012). GH2017 concluded that inhibition and excitation alternated during rhythmic scratching, and a voltage-dependent intrinsic conductance was masking this input such that it appeared as balanced excitation and inhibition in previous published work (Berg et al., 2007; Petersen et al., 2014). Nevertheless, this reasoning relies entirely on the validity of the clamp and, as we will see below, there is a clamp error, which complicates the interpretation of their data. Errors associated with voltage-clamp is a common problem as noted in previous reports (Spruston et al., 1993; Williams and Mitchell, 2008; Petersen, 2017). The membrane current (I) is composed of intrinsic, leak, excitatory and inhibitory currents with individual conductances and reversal potentials, which collectively form a membrane resistance (R) and an equilibrium potential (E). When recording these using a pipette electrode, its resistance (R), sometimes called access or series resistance, is in series with R (Figure 1A). When there is no electrode current the membrane potential V = E. However, during VC, a non-zero current introduces a drop in potential over R, which can only be partially compensated with the amplifier electronics (Brette and Destexhe, 2012). R therefore has an uncompensated part (blue, R, Figures 1A,B), which generates an unaccounted drop in potential from the clamp potential (V) proportional to the pipette current:
Figure 1

Caveats using voltage clamp to resolve excitation and inhibition. (A) Whole-cell VC can be decomposed into electrical components including the pipette series resistance (R). (B) Partial compensation for R introduces a disparity between clamped potential (V) and V due to uncompensated resistance (red). (C) Reciprocal model for rhythmic V has alternating E/I. (R = 20MΩ, E = −70mV). (D) Balanced model has concurrent E/I and also rhythmic V. (E) Outward currents measured using VC is assumed to be inhibition when clamping 0mV (black). The actual clamp is at −30 mV (red). (F) Balanced E/I spuriously appears as reciprocal when the actual clamp is below synaptic reversal potential (“same phase” cf. red in F and black in E). (G) VC-recording of a putative motoneuron with blocked spikes (with intracellular QX314) at different holding potentials (gray: current, red: mean, blue: nerve). Reversal of phase (arrow) is consistent with the balanced scheme (F) although with a smaller out-of-phase inhibition (indicated). (H) Blocking inhibition (strychnine) increases firing rate also consistent with the balanced scheme. (G) provided by A. Alaburda (current levels indicated, right) and (H) adapted with permission (Vestergaard and Berg, 2015).

GH2017 report: “Voltage clamp (VC) experiments were performed on motoneurons when access resistance was low (R < 20 MΩ) and possible to compensate by 60-80%.” This means that R = 20 − 40% · 20 MΩ = 4–8 MΩ. When clamping at 0 mV the applied current is likely large. The authors do not report I for their clamp experiments (Figures 8–9), but their IV-plots suggest up to 10 nA (Figures 5E, 6). Hence, when trying to clamp at 0 mV, V is really −10nA·4MΩ = −40mV with 80% R-compensation. Caveats using voltage clamp to resolve excitation and inhibition. (A) Whole-cell VC can be decomposed into electrical components including the pipette series resistance (R). (B) Partial compensation for R introduces a disparity between clamped potential (V) and V due to uncompensated resistance (red). (C) Reciprocal model for rhythmic V has alternating E/I. (R = 20MΩ, E = −70mV). (D) Balanced model has concurrent E/I and also rhythmic V. (E) Outward currents measured using VC is assumed to be inhibition when clamping 0mV (black). The actual clamp is at −30 mV (red). (F) Balanced E/I spuriously appears as reciprocal when the actual clamp is below synaptic reversal potential (“same phase” cf. red in F and black in E). (G) VC-recording of a putative motoneuron with blocked spikes (with intracellular QX314) at different holding potentials (gray: current, red: mean, blue: nerve). Reversal of phase (arrow) is consistent with the balanced scheme (F) although with a smaller out-of-phase inhibition (indicated). (H) Blocking inhibition (strychnine) increases firing rate also consistent with the balanced scheme. (G) provided by A. Alaburda (current levels indicated, right) and (H) adapted with permission (Vestergaard and Berg, 2015). To better understand the issue, we consider steady-state where all current passes through the resistors. From Ohm's law the voltage drop over R is V − V = I · R. Similarly, the voltage drop over the membrane is E − V = I · R. Combining these we can eliminate I and isolate V: Hence, for a good clamp (V ≈ V) it is required that R ≫ R. GH2017 report a membrane conductance of 49.2 nS (Figure 5B), which gives R = 20MΩ. With these values (E = −70mV) clamping at 0 mV gives Whereas R is assumed constant, R may change dramatically due to synaptic and intrinsic conductance. GH2017 nicely document a nonlinearity starting at −30 mV (Figures 5, 6), and a conductance of 314 nS (R = 3.2MΩ). Here, the low R even becomes smaller than R and therefore the clamp deteriorates further: The clamp is unlikely to be this bad, since the reduction in R occurs above −50mV. Also, E, which we assume constant, may depolarize due to change in the weighted average (Figure 1B), which mitigates the effect. The exact level of clamping of V with (V = 0mV) is difficult to estimate and may change in time. A reasonable guess is around V = −30mV. What is the consequence of this clamping error? To address this question, we use a one-compartment model receiving either reciprocal (Figure 1C) or concurrent (balanced) excitation and inhibition (E/I) (Figure 1D), which are the schemes that GH2017 intended to distinguish between. Both result in rhythmic V, although the effect of balanced E/I may seem counter-intuitive (Kolind et al., 2012; Petersen et al., 2014). The problem appears when presuming the outward current is inhibition, when setting V = 0mV (assumed clamp, black line Figures 1E,F). From the above, we know that the actual clamp is likely at −30 mV (red traces). Here, the phase of the outward current reverses making the actual clamp in the balanced scheme (red, F) appear qualitatively similar to the assumed clamp in the reciprocal (black, E). Therefore, the VC experiments by GH2017 are difficult to interpret and ill-suited to discriminate between these schemes. Although reciprocal E/I is a widely held belief in the literature, there is remarkably little experimental support in tetrapod vertebrates. The Ia-inhibitory interneuron has reciprocal activity (Geertsen et al., 2011), whereas the Renshaw interneuron has recurrent inhibition, both connected to motoneurons. Nevertheless the action of the remaining inhibitory population is largely unexplored. The scarcity in experimental reports that resolve E/I input is likely due to nonlinear properties and difficulties in separating synaptic current, although methods have been proposed (Berg and Ditlevsen, 2013; Vich et al., 2017). Space clamp issues also confounds the separation of E/I (Chadderton et al., 2014). Previous observations in turtles based on current-clamp indicated concurrent E/I. Here, voltage-activated conductances were circumvented by injecting negative current to hyperpolarize V below the onset of the IV-nonlinearity. Therefore the disparity between reports cannot be attributed to outward rectification, as otherwise suggested by GH2017, see e.g., Figure 3A in Berg et al. (2007) and Figures 2–4 in Berg et al. (2008). Further, VC experiments were performed using sharp electrodes where spikes were blocked by pharmacology (QX314). QX314 likely also has the advantage of increasing R, thus improving the R ≫ R requirement (Monier et al., 2008). A current-reversal was observed in accordance with the balanced scheme (Figure 1G). Other experiments confirm that when blocking excitation and inhibition pharmacologically, the high conductance vanish even at the same V, suggesting that conductance increase is caused by synaptic input rather than voltage-activated conductances (Figure 8 in Berg and Ditlevsen, 2013). Application of strychnine had a strong depolarizing effect (Figure 1H) especially in the on-phase, which is also difficult to reconcile with the reciprocal E/I scheme (Berg et al., 2007; Vestergaard and Berg, 2015). Contrary to the conclusions of GH2017, these observations suggest that a substantial fraction of the spinal neurons receive concurrent E/I, which may not exclude that others receive reciprocal. In fact, the neuronal population is divided between irregular and regular spiking, suggesting some receive reciprocal and others receive balanced input most likely on a spectrum between the two (Petersen and Berg, 2016; Berg, 2017). Notice in addition to the in-phase E/I there is also a weaker out-of-phase inhibition (Figure 1G). Spinal motor pattern generation may therefore be more complex and not exclusively conform to either of the schemes (Kishore et al., 2014).

Author contributions

The author confirms being the sole contributor of this work and approved it for publication.

Conflict of interest statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  17 in total

1.  In vitro and in vivo measures of evoked excitatory and inhibitory conductance dynamics in sensory cortices.

Authors:  C Monier; J Fournier; Y Frégnac
Journal:  J Neurosci Methods       Date:  2007-11-22       Impact factor: 2.390

2.  Direct measurement of somatic voltage clamp errors in central neurons.

Authors:  Stephen R Williams; Simon J Mitchell
Journal:  Nat Neurosci       Date:  2008-06-15       Impact factor: 24.884

3.  Systematic shifts in the balance of excitation and inhibition coordinate the activity of axial motor pools at different speeds of locomotion.

Authors:  Sandeep Kishore; Martha W Bagnall; David L McLean
Journal:  J Neurosci       Date:  2014-10-15       Impact factor: 6.167

4.  Premotor spinal network with balanced excitation and inhibition during motor patterns has high resilience to structural division.

Authors:  Peter C Petersen; Mikkel Vestergaard; Kristian H R Jensen; Rune W Berg
Journal:  J Neurosci       Date:  2014-02-19       Impact factor: 6.167

5.  Reciprocal Ia inhibition contributes to motoneuronal hyperpolarisation during the inactive phase of locomotion and scratching in the cat.

Authors:  Svend S Geertsen; Katinka Stecina; Claire F Meehan; Jens B Nielsen; Hans Hultborn
Journal:  J Physiol       Date:  2010-11-08       Impact factor: 5.182

Review 6.  Whole-Cell Recording of Neuronal Membrane Potential during Behavior.

Authors:  Carl C H Petersen
Journal:  Neuron       Date:  2017-09-13       Impact factor: 17.173

7.  Voltage- and space-clamp errors associated with the measurement of electrotonically remote synaptic events.

Authors:  N Spruston; D B Jaffe; S H Williams; D Johnston
Journal:  J Neurophysiol       Date:  1993-08       Impact factor: 2.714

8.  Lognormal firing rate distribution reveals prominent fluctuation-driven regime in spinal motor networks.

Authors:  Peter C Petersen; Rune W Berg
Journal:  Elife       Date:  2016-10-26       Impact factor: 8.140

9.  Opposing Effects of Intrinsic Conductance and Correlated Synaptic Input on V-Fluctuations during Network Activity.

Authors:  Jens Kolind; Jørn Hounsgaard; Rune W Berg
Journal:  Front Comput Neurosci       Date:  2012-07-04       Impact factor: 2.380

Review 10.  Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts.

Authors:  Rune W Berg
Journal:  Front Neural Circuits       Date:  2017-12-19       Impact factor: 3.492

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