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Research ArticleNew Research, Neuronal Excitability

Using a Semi-Automated Strategy to Develop Multi-Compartment Models That Predict Biophysical Properties of Interneuron-Specific 3 (IS3) Cells in Hippocampus

Alexandre Guet-McCreight, Olivier Camiré, Lisa Topolnik and Frances K. Skinner
eNeuro 29 August 2016, 3 (4) ENEURO.0087-16.2016; https://doi.org/10.1523/ENEURO.0087-16.2016
Alexandre Guet-McCreight
1Krembil Research Institute, University Health Network, Toronto, Ontario, M5T 2S8, Canada
2Department of Physiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada
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Olivier Camiré
3Department of Biochemistry, Microbiology and Bio-informatics, Neuroscience Axis, CHU de Québec Research Center (CHUL), Laval University, Québec City, Québec, G1V 0A6, Canada
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Lisa Topolnik
3Department of Biochemistry, Microbiology and Bio-informatics, Neuroscience Axis, CHU de Québec Research Center (CHUL), Laval University, Québec City, Québec, G1V 0A6, Canada
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Frances K. Skinner
1Krembil Research Institute, University Health Network, Toronto, Ontario, M5T 2S8, Canada
4Departments of Medicine (Neurology) and Physiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada
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  • Figure 1.
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    Figure 1.

    Morphological, membrane, and dendritic properties of IS3 cells. A, Topological model of an IS3 cell full morphology (M1) and with axonal branches removed (M2). B, Experimental IS3 cell traces during current-clamp recording showing IS3 cell electrophysiological features in two cells. In cell 1, current step injections show hyperpolarization with minimal sag (−100 pA; red), passive response without spiking (+10 pA; green), and depolarization with irregular spiking (+50 pA; blue). In cell 2, current injections show hyperpolarization with minimal sag (−100 pA; red), depolarization with spiking (+50 pA; blue), and depolarization block (+500 pA; orange). Recordings were obtained in the presence of synaptic blockers (i.e., NBQX, AP5, and gabazine). C, Two-photon image of an IS3 cell filled with Alexa Fluor 594 and OGB-1. White lines indicate where backpropagating action potential-evoked Ca2+-transient (bAP-CaT) line scans were performed. The protocol consisted of three consecutive 2 ms, 800 pA somatic current step injections in conjunction with dendritic CaT recordings. D, Representative examples of dendritic bAP-CaTs evoked by three APs at the soma. E, Summary plot showing average changes (solid red) and individual changes (dotted gray) in the bAP-CaT amplitude at different distances from the soma. The dashed black line indicates the threshold level below which the calcium signal was indistinguishable from noise.

  • Figure 2.
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    Figure 2.

    Semi-automated strategy. Flowchart outlining the steps in the approach that we used to develop the IS3 cell model databases. Note that gray boxes indicate steps that were performed manually through hand tuning, and green boxes indicate steps that were automated within NEURON and MATLAB.

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    Figure 3.

    Experimental measurement histograms. A–R, The histograms are generated from data where the criterion is that they exhibit hyperpolarization (A–E; CIPs include −100 and −90 pA for the “lack of sag feature”), passive depolarization (F; CIPs include 10 and 20 pA for the “no spiking feature”), depolarization with spiking (G–P; CIPs range from 10 to 140 pA with 10 pA intervals for the “normal spiking feature”), or depolarization block (Q, R; CIPs range from 450 to 700 pA with 50 pA intervals for the “depolarization block feature”). Note that the dashed lines indicate the measurements obtained from the selected IS3 cell experimental trace used to compute the distance metric for each model. The signature features, and characteristic measurements and their values are given in Table 2 (second, third, and fourth columns).

  • Figure 4.
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    Figure 4.

    Semi-automated strategy and model databases. A1–A3, Top models in S.1, S.2, and SD. The current injection protocol is −100, +20, +50, and +500 pA. B1–B3, Parameter spaces for S.1, S.2, and SD (from left to right), as visualized using CBDR. Each pixel represents a single model and the distance metric of that model. Conductance axes are organized such that overall low-conductance models are in the bottom left quadrants and overall high-conductance models are in the top right quadrants. Black pixels represent models that are eliminated in step 2 and are assigned a distance value of 100 as a result. For S.1, S.2, and SD, respectively, 182 of 432, 59 of 81, and 42 of 81 models did not get rejected (i.e., the remaining colored pixels). C, Example experimental and model database (i.e., for S.1, S.2, and SD) voltage trace measurement histograms for spike half-width and first spike time during 50 pA stimulation. The additional flowchart above the figures shows example rationales for the changes that were made among the S.1, S.2, and SD distributions, including reasoning for why the S.2 models best captured IS3 experimental features.

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    Figure 5.

    Example adjustments made in between parameter refinement cycles for SDprox.1 and SDprox.2 model databases. A, For SDprox.1, five cycles of steps 1 to 6 were required (Cycle 1 = 47 remaining of 243 models; Cycle 2 = 64 remaining of 243 models; Cycle 3 = 22 remaining of 243 models; Cycle 4 = 52 remaining of 243 models; Cycle 5 = 70 remaining of 243 models). B, for SDprox.2, three cycles of steps 1 to 6 were required (Cycle 1 = 24 remaining of 243 models; Cycle 2 = 107 remaining of 243 models; Cycle 3 = 146 remaining of 243 models). The CBDR plots show the quality of the parameter space of the model database during each cycle. Note that blue-boxed areas indicate parameter spaces of interest that were focused on. Red-boxed areas indicate parameter spaces that were purposely avoided.

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    Figure 6.

    Kv3.1 and Kv2.1 expression in putative IS3 cells. A, B, Immunohistochemistry data showing GFP (green; left) and Kv3.1 expression (red; middle) in the stratum radiatum (A) and pyramidale (B) of a VIP-GFP mouse. Note the presence of Kv3.1 membrane labeling in the soma and proximal dendrites of VIP- expressing cells. C, D, Immunohistochemistry data showing GFP (green; left) and Kv2.1 expression (red; middle) in the stratum pyramidale (C) and radiatum (D) of a VIP-GFP mouse. Scale bar, 10 μm.

  • Figure 7.
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    Figure 7.

    VGC distributions in proximal dendrites. A, Action potential amplitude deterioration along a dendrite section (tree 1) in the S.2 top model following a somatic 800 pA current injection for 2 ms (GNa,t soma = 0.25 S/cm2; GNa,p soma = 0.0001 S/cm2; GKa soma = 0.15 S/cm2; GKdrf soma = 1 S/cm2). B, Action potential amplitude deterioration along a dendrite section (tree 1) in the SD top model following a somatic 800 pA current injection for 2 ms (GNa,t soma/dendrites = 0.06 S/cm2; GNa,p soma = 0.0002 S/cm2; GKa soma/dendrites = 0.1 S/cm2; GKdrf soma/dendrites = 0.1 S/cm2). C1, SDprox.1 top model with channels that are uniform from the soma until the first 70 μm of the dendrites using the Boltzmann function. Conductance values are as follows: GNa,t soma/dendrites = 0.07 S/cm2; GNa,p soma = 0.000075 S/cm2; GKdrf soma/dendrites = 0.25 S/cm2; GKa soma/dendrites = 0.07 S/cm2. Note that the current injection protocol is −100, +20, + 50, and +500 pA. C2, Parameter spaces for SDprox.1, as visualized using CBDR. Note that 70 of 243 models did not get rejected. C3, Action potential amplitude deterioration along a dendrite section (tree 1) in the above SDprox.1 top model following a somatic 800 pA current injection for 2 ms. D1, SDprox.2 top model with channels that are uniform from the soma until the first 70 μm of the dendrites using the Boltzmann function. Conductance values are as follows: GNa,t soma/dendrites = 0.055 S/cm2; GNa,p soma = 0.00015 S/cm2; GKdrf soma/dendrites = 0.295 S/cm2; GKa soma = 0.07 S/cm2. Note that the current injection protocol is −100, +20, + 50, and +500 pA. D2, Parameter spaces for SDprox.2, as visualized using CBDR. Note that 146 of 243 models did not get rejected. D3, Action potential amplitude deterioration along a dendrite section in the above SDprox.2 top model following a somatic 800 pA current injection for 2 ms.

  • Figure 8.
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    Figure 8.

    Electrotonic analysis of the M2 morphology. A, A guide of the M2 morphology designating all of the morphological subsections, as well as showing both the spatial scale and diameter. B, Electrotonic distance along the dendritic arbor for voltage flowing into the soma. C, Electrotonic distance along the dendritic arbor for voltage flowing away from the soma. Note that the electrotonic distance is equal to the log value of attenuation, where attenuation is measured as voltage upstream/voltage downstream. More specifically, voltage upstream is an applied 1 mV signal, and voltage downstream is the downstream response to the 1 mV signal. In this sense, electrotonic distances >1 would imply a 10-fold attenuation in the signal.

  • Figure 9.
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    Figure 9.

    Threshold weight with distance from soma in top models. A1–A3, Left y-axes, Synaptic weight threshold (in μS) necessary to evoke a somatic spike in response to a single presynaptic spike applied incrementally at different points along the dendritic arbor for the S.2 top model. Right y-axes, S.2 top model local changes in membrane potential (i.e., maximum potential − minimum potential in the first 1 ms following the presynaptic spike) at the site of the synapse, where synaptic current saturation is reached once the local membrane potential reaches the reversal potential (i.e., an increase of ∼70 mV). Note that tree 1 is plotted in A1, tree 2A is plotted in A2, and tree 2B is plotted in A3. The plots show that the location along the dendrites where there is an exponential increase in threshold weight (i.e., dashed red line at around 0.5 μS) for each main dendritic tree approximately co-locates with the location along the dendrites where synaptic current saturation occurs. B, S.2 top model synaptic threshold weights (in μS) in all dendritic trees. Plot shows that there are differences in the location along the dendrites where there is an exponential increase (i.e., dashed red line) in the threshold weight, depending on the dendritic tree of interest. C1–C3, Relative to passive dendrites (S.2 top model), active dendrites with A-type potassium channels in the first 70 μm of dendrites (SDprox.1 top model) show a decrease in the distance from the soma at which the exponential increase in threshold weight is observed. On the other hand, active dendrites in the first 70 μm of dendrites with A-type potassium channels restricted to the soma (SDprox.2 top model) shows an increase in the distance from the soma at which the exponential increase in threshold weight is observed. This is shown in all main trees (C1–C3). D, Note that the SD top model does not reach input saturation, and the amount of input to elicit a somatic spike does not increase exponentially in any of the dendritic trees.

Tables

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    Table 1:

    Model passive properties

    MorphologyRN (MΩ)τm (ms)Resting Vm (mV)Cm (μF/cm2)Ra (Ω/cm)Gm (S/cm2)
    M1411.824.2−69.70.92550.000019
    M2414.324.2−69.74 (Axon)300 (axon)0.000185 (axon)
    Experimental/literature413.024.2−69.70.9 ± 0.3100-300N/A
    • Passive property measurements (columns 2–4) and passive parameter values (columns 5–7) for both computational morphologies (without active properties) compared with the experimental (columns 2–4) and literature (columns 5–7) values. Note that for M2, the parameter values listed refer to the values set for the remaining axon segments. The M2 somatic and dendritic parameter values are the same as those listed for M1. RN, input resistance; τm, membrane time constant; Vm, membrane potential; Cm, specific membrane capacitance; Ra, axial resistance; Gm, specific membrane conductance; N/A, not applicable.

    • View popup
    Table 2:

    IS3 cell signature features, CIPs, measurements, and model elimination criteria

    CIP stepSignature featureCharacteristic measurements of featureSelected IS3 cell measurement valuesElimination criteria (step 2)
    −100 pALack of “sag”(1) Hyperpolarization Vm Difference (mean pulse value − mean initial value)−34.2649 mVNone
    (2) Minimum potential time58.9000 ms
    (3) Minimum potential−112.6709 mV
    (4) Potential sag6.7865 mV
    5) Sag time constant14.3000 ms
    20 pANo spiking(1) Passive depolarization Vm difference (mean pulse value − mean initial value)12.4910 mVIf spikes are observed
    50 pANormal spiking(1) Active depolarization Vm difference (mean pulse value − mean initial value)29.4174 mVIf fewer than three spikes are observed If membrane potential fails to repolarize
    (2) Interspike interval36.6898 ms
    (3) First spike time33.1000 ms
    (4) Spike voltage threshold mean−44.3428 mV
    (5) Spike half-width mean1.0301 ms
    (6) Spike amplitude mean61.7296 mV
    (7) Spike rate35.0044 Hz
    8) Spike maximum afterhyperpolarization mean6.8820 mV
    (9) Number of spikes28.0000
    (10) Spike frequency adaptation1.3305
    500 pADepolarization block(1) Depolarization block Vm difference (final 700 ms mean pulse value − mean initial value)62.6461 mVIf spikes in the last 700 ms of the CIP are observed If membrane potential fails to repolarize If spikes in the recovery period are observed
    (2) Initial 100 ms spike rate60.0000 Hz
    • For each CIP step (1st column) we note a signature feature that is observed experimentally (2nd column), characteristic measurements that are used to quantify the signature feature (3rd column), characteristic measurement values from the selected IS3 traces (4th column), as well as conditions where models would be rejected for clearly not capturing the experimental feature (5th column). CIP, Current Injection Protocol; Vm, membrane potential.

    • View popup
    Table 3:

    Statistical tests

    DataData structureType of testPower
    bAP-CaT amplitude at soma vs 50 μmUnknownSigned rank test0.260
    bAP-CaT amplitude at soma vs 150 μmUnknownSigned rank test0.028
    bAP-CaT amplitude at 50 vs 150 μmUnknownSigned rank test0.043
  • Table 4:
    • View popup
    Table 5:

    Summary of channel type combinations and spatial distribution profiles across the morphology of the model

    Distribution labelsSoma channel typesDendrite channel typesAxon channel types
    S.1Persistent sodium
    Transient sodium
    A-type potassium
    Fast delayed rectifier potassium
    Slow delayed rectifier potassium
    NoneNone
    S.2Persistent sodium
    Transient sodium
    A-type potassium
    Faster delayed rectifier potassium
    NoneNone
    SDPersistent sodium
    Transient sodium
    A-type potassium
    Faster delayed rectifier potassium
    Transient sodium
    A-type potassium
    Faster delayed rectifier potassium
    None
    • Note that in all cases, each channel has a uniform distribution, whether it is restricted to the soma or distributed across the soma and dendrites.

    • View popup
    Table 6:

    Summary of the starting and final conductance ranges found using the semi-automated strategy for S.1, S.2, and SD

    Distribution labelGNa,t (S/cm2)GNa,p (S/cm2)GKa (S/cm2)GKdrf (S/cm2)GKdrs (S/cm2)
    S.1 start0.08, 0.12, 0.16, 0.200.0002, 0.0003, 0.00040.05, 0.10, 0.150.04, 0.08, 0.120.04, 0.08, 0.12
    S.1 final0.16, 0.18, 0.20, 0.220.0001, 0.0002, 0.00030.05, 0.10, 0.150.03, 0.07, 0.110.03, 0.06, 0.09
    S.2 start0.2, 0.225, 0.250.0001, 0.00015, 0.00020.15, 0.20, 0.250.8, 0.9, 1.0(faster)0
    S.2 final0.2, 0.225, 0.250.00005, 0.00010, 0.000150.15, 0.20, 0.250.95, 1.0, 1.05(faster)0
    SD start0.04, 0.05, 0.060.0002, 0.0004, 0.00060.06, 0.08, 0.10.05, 0.10, 0.15(faster)0
    SD final0.04, 0.05, 0.060.0002, 0.0004, 0.00040.06, 0.08, 0.10.1, 0.13, 0.16(faster)0
    SDprox.1 start0.05, 0.075, 0.1(50, 70, 90 μm)0.00005, 0.00010, 0.000150.03, 0.05, 0.07(50, 70, 90 μm)0.2, 0.3, 0.4(faster)(50, 70, 90 μm)0
    SDprox.1 final0.07, 0.0725, 0.075(50, 70, 90 μm)0.00005, 0.000075, 0.00010.03, 0.05, 0.07(50, 70, 90 μm)0.25, 0.275, 0.3(faster)(50, 70, 90 μm)0
    SDprox.2 start0.055, 0.1025, 0.15(50, 70, 90 μm)0.00005, 0.00010, 0.000150.03, 0.05, 0.070.2, 0.3, 0.4(faster)(50, 70, 90 μm)0
    SDprox.2 final0.055, 0.060, 0.065(50, 70, 90 μm)0.00005, 0.00010, 0.000150.03, 0.05, 0.070.27, 0.295, 0.32(faster)(50, 70, 90 μm)0
    • Note that for the SDprox.1 and SDprox.2 distributions, we also investigated channels that were uniform in soma and dendrites up until 50, 70, and 90 μm from the soma. The choice of the number of conductance values to use was determined by balancing parameter space resolution against computational speed.

    • View popup
    Table 7:

    Summary of starting hand-tuned conductance values and top model conductance values from SDprox.1 and SDprox.2

    ModelDistributionGNa,t (S/cm2)GNa,p (S/cm2)GKa (S/cm2)GKdrf (faster kinetics)(S/cm2)
    SDprox.1 hand tunedUniform across soma and first 50 μm of dendrites(GNa,p: soma only)0.0750.00010.050.3
    SDprox.1 top modelUniform across soma and first 70 μm of dendrites(GNa,p: soma only)0.070.0000750.070.25
    SDprox.1 second best modelUniform across soma and first 50 μm of dendrites(GNa,p: soma only)0.0750.0000750.070.3
    SDprox.1 third best modelUniform across soma and first 70 μm of dendrites(GNa,p: soma only)0.070.000050.070.25
    SDprox.2 hand tunedUniform across soma and first 50 μm of dendrites(GNa,p and GKa: soma only)0.070.00010.050.3
    SDprox.2 top modelUniform across soma and first 70 μm of dendrites(GNa,p and GKa: soma only)0.0550.000150.030.295
    SDprox.2 second best modelUniform across soma and first 70 μm of dendrites(GNa,p and GKa: soma only)0.060.000150.050.295
    SDprox.2 third best modelUniform across soma and first 90 μm of dendrites(GNa,p and GKa: soma only)0.060.000150.070.32
    • View popup
    Table 8.

    Morphological analysis of the IS3 cell multi-compartment model

    TreeNumber of branching pointsSurface area* (μm2)Maximum distal length (μm)Summed length from all branches (μm)
    172463.79508.41749.40
    2A82385.98399.00789.62
    2B91982.60410.84704.49
    2C1372.21121.80114.51
    31447.4279.6885.28
    Axon2859.35208.04317.45
    • *Note that to compute the surface area, the effective area was computed for each compartment via a trapezoidal integration across the compartment length using the NEURON area(x) function.

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Using a Semi-Automated Strategy to Develop Multi-Compartment Models That Predict Biophysical Properties of Interneuron-Specific 3 (IS3) Cells in Hippocampus
Alexandre Guet-McCreight, Olivier Camiré, Lisa Topolnik, Frances K. Skinner
eNeuro 29 August 2016, 3 (4) ENEURO.0087-16.2016; DOI: 10.1523/ENEURO.0087-16.2016

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Using a Semi-Automated Strategy to Develop Multi-Compartment Models That Predict Biophysical Properties of Interneuron-Specific 3 (IS3) Cells in Hippocampus
Alexandre Guet-McCreight, Olivier Camiré, Lisa Topolnik, Frances K. Skinner
eNeuro 29 August 2016, 3 (4) ENEURO.0087-16.2016; DOI: 10.1523/ENEURO.0087-16.2016
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