The combined use of microelectrode array technology and 4-aminopyridine-induced chemical stimulation for investigating network-level nociceptive activity in the spinal cord dorsal horn is outlined.
The roles and connectivity of specific types of neurons within the spinal cord dorsal horn (DH) are being delineated at a rapid rate to provide an increasingly detailed view of the circuits underpinning spinal pain processing. However, the effects of these connections for broader network activity in the DH remain less well understood because most studies focus on the activity of single neurons and small microcircuits. Alternatively, the use of microelectrode arrays (MEAs), which can monitor electrical activity across many cells, provides high spatial and temporal resolution of neural activity. Here, the use of MEAs with mouse spinal cord slices to study DH activity induced by chemically stimulating DH circuits with 4-aminopyridine (4-AP) is described. The resulting rhythmic activity is restricted to the superficial DH, stable over time, blocked by tetrodotoxin, and can be investigated in different slice orientations. Together, this preparation provides a platform to investigate DH circuit activity in tissue from naïve animals, animal models of chronic pain, and mice with genetically altered nociceptive function. Furthermore, MEA recordings in 4-AP-stimulated spinal cord slices can be used as a rapid screening tool to assess the capacity of novel antinociceptive compounds to disrupt activity in the spinal cord DH.
The roles of specific types of inhibitory and excitatory interneurons within the spinal cord DH are being uncovered at a rapid rate1,2,3,4. Together, interneurons make up over 95% of the neurons in the DH and are involved in sensory processing, including nociception. Furthermore, these interneuron circuits are important for determining whether peripheral signals ascend the neuroaxis to reach the brain and contribute to the perception of pain5,6,7. To date, most studies have investigated the role of DH neurons at either the single-cell or whole-organism level of analysis using combinations of in vitro intracellular electrophysiology, neuroanatomical labeling, and in vivo behavioral analysis1,3,8,9,10,11,12,13,14. These approaches have significantly advanced the understanding of the role of specific neuron populations in pain processing. However, a gap remains in understanding how specific cell types and small macro-circuits influence large populations of neurons at a microcircuit level to subsequently shape the output of the DH, behavioral responses, and the pain experience.
One technology that can investigate macro-circuit or multicellular-level function is the microelectrode array (MEA)15,16. MEAs have been used to investigate nervous system function for several decades17,18. In the brain, they have facilitated the study of neuronal development, synaptic plasticity, pharmacological screening, and toxicity testing17,18. They can be used for both in vitro and in vivo applications, depending on the type of MEA. Furthermore, the development of MEAs has evolved rapidly, with different electrode numbers and configurations now available19. A key advantage of MEAs is their capacity to simultaneously assess electrical activity in many neurons with high spatial and temporal accuracy via multiple electrodes15,16. This provides a broader readout of how neurons interact in circuits and networks, under control conditions and in the presence of locally applied compounds.
One challenge of in vitro DH preparations is that ongoing activity levels are typically low. Here, this challenge is addressed in spinal cord DH circuits using the voltage-gated K+ channel blocker, 4-aminopryidine (4-AP), to chemically stimulate DH circuits. This drug has previously been used to establish rhythmic synchronous electrical activity in the DH of acute spinal cord slices and under acute in vivo conditions20,21,22,23,24. These experiments have used single-cell patch and extracellular recording or calcium imaging to characterize 4-AP-induced activity20,21,22,23,24,25. Together, this work has demonstrated the requirement of excitatory and inhibitory synaptic transmission and electrical synapses for rhythmic 4-AP-induced activity. Thus, the 4-AP response has been viewed as an approach that unmasks native polysynaptic DH circuits with biological relevance rather than as a drug-induced epiphenomenon. Furthermore, 4-AP-induced activity exhibits a similar response profile to analgesic and antiepileptic drugs as neuropathic pain conditions and has been used to propose novel spinally-based analgesic drug targets such as connexins20,21,22.
Here, a preparation that combines MEAs and chemical activation of the spinal DH with 4-AP to study this nociceptive circuitry at the macro-circuit, or network level of analysis, is described. This approach provides a stable and reproducible platform for investigating nociceptive circuits under naive and neuropathic 'pain-like' conditions. This preparation is also readily applicable to test the circuit-level action of known analgesics and to screen novel analgesics in the hyperactive spinal cord.
Studies were carried out on male and female c57Bl/6 mice aged 3-12 months. All experimental procedures were performed in accordance with the University of Newcastle's Animal Care and Ethics Committee (protocols A-2013-312, and A-2020-002).
1. In vitro electrophysiology
Chemical | aCSF (mM) | aCSF (g/100 mL) | Sucrose-substituted aCSF (mM) | Sucrose-substituted aCSF (g/100 mL) | High-potassium aCSF (mM) | High-potassium aCSF (g/100 mL) |
Sodium chloride (NaCl) | 118 | 0.690 | – | – | 118 | 0.690 |
Sodium hydrogen carbonate (NaHCO3) | 25 | 0.210 | 25 | 0.210 | 25 | 0.210 |
Glucose | 10 | 0.180 | 10 | 0.180 | 10 | 0.180 |
Potasium chloride (KCl) | 2.5 | 0.019 | 2.5 | 0.019 | 4.5 | 0.034 |
Sodium dihydrogen phosphate (NaH2PO4) | 1 | 0.012 | 1 | 0.012 | 1 | 0.012 |
Magnesium cloride (MgCl2) | 1 | 0.01 | 1 | 0.01 | 1 | 0.01 |
Calcium chloride (CaCl2) | 2.5 | 0.028 | 2.5 | 0.028 | 2.5 | 0.028 |
Sucrose | – | – | 250 | 8.558 | – | – |
Table 1: Artificial Cerebrospinal Fluid compositions. Abbreviation: aCSF = artificial cerebrospinal fluid.
Figure 1: Spinal cord slice orientations, mounting and cutting methods. (A) Transverse slices require a Styrofoam cutting block with a supporting groove cut into it. The spinal cord is rested against the block in the support groove, the dorsal side of the cord facing away from the block. The block and cord are glued onto a cutting stage with cyanoacrylate adhesive. (B) Sagittal slices are prepared by placing a thin line of cyanoacrylate adhesive on the cutting stage and then positioning the spinal cord on its side on the glue. (C) Horizontal slices are prepared by placing a thin line of cyanoacrylate adhesive on the cutting stage and then positioning the spinal cord ventral side down on the glue. Please click here to view a larger version of this figure.
Microelectrode Array Layouts | ||||
Microelectrode Array Model | 60MEA 200/30iR-Ti | 60-3DMEA 100/12/40iR-Ti | 60-3DMEA 200/12/50iR-Ti | 60MEA 500/30iR-Ti |
Planar or 3-Dimensional (3D) | Planar | 3D | 3D | Planar |
Electrode Grid | 8 x 8 | 8 x 8 | 8 x 8 | 6 x 10 |
Electrode Spacing | 200 µm | 100 µm | 200 µm | 500 µm |
Electrode Diameter | 30 µm | 12 µm | 12 µm | 30 µm |
Electrode Height (3D) | N/A | 40 µm | 50 µm | N/A |
Experiments | Transverse slice | Transverse slice | Sagittal + Horizontal | Sagittal + Horizontal |
Table 2: Microelectrode array layouts.
Figure 2: Tissue positioning on the microelectrode array. (A) Image shows an open MEA headstage with an MEA placed in position. (B) Same as A with MEA headstage closed for recordings and tissue perfusion system in place. (C) Image shows an MEA as supplied by the manufacturer. Contact pads, which interface with the gold springs of the headstage, and the MEA tissue bath that holds the tissue bathing solution and tissue slice are shown. The area highlighted by the red square in the center is the location of the electrode array. (D) Schematics show the two MEA electrode configurations used in this study, with further details presented in Table 2. The reference electrode is denoted by the blue trapezoid. The left MEA electrode layout shows a 60-electrode square configuration, used most in the presented work-models 60MEA200/30iR-Ti with 30 μm diameter electrodes spaced 200 μm apart, or 200 μm spaced and 100 μm spaced 3-dimensional MEAs (60MEA200/12/50iR-Ti and 60MEA100/12/40iR-Ti) with electrodes 12 μm in diameter and either 50 μm or 40 μm high, respectively. The left MEA electrode layout shows a 6 x 10 electrode rectangular layout-60MEA500/30iR-Ti. (E) High-magnification image of a 60MEA100/12/40iR-Ti square MEA with transverse spinal cord slice positioned for recording. The slice sits on electrode rows 3-8. The top row of electrodes, which do not contact any tissue, serve as reference electrodes. The SDH area appears as a semitransparent band. In this case, the SDH overlies electrodes in rows 4, 5, and 6 and columns 2, 3, 4, 5, and 7 of the MEA. Scale bar = 200 µm. Abbreviations: MEA = microelectrode array; SDH = superficial dorsal horn. Please click here to view a larger version of this figure.
2. Data processing and analysis
NOTE: The following steps detail how to use the analysis software for MEA experiments on spinal cord slices. One of the 60 electrodes serves as an internal reference (marked by a trapezoid in Figure 2 C,D), while between four and twenty-five of the remaining 59 are positioned under the SDH in an adult mouse spinal cord slice. Subsequent analysis detects extracellular action potential (EAP) and local field potential (LFP) waveforms (see Figure 3B for examples) from the raw signal in this region.
Figure 3: Data recording and analysis tool layouts and example microelectrode array recordings showing extracellular action potential and local field potential waveforms. (A) Schematic shows preconfigured recording templateused for the acquisition of MEA data. Linking the MEA2100 and the recording (headstage/amplifier) tool enables the data to be named and saved. Four example traces of raw data (right, 5-min epochs) were collected by one MEA channel showing activity at baseline, 12 min after 4-AP application, a further 15 min after established 4-AP activity, and following bath application of TTX (1 µM). Note, the addition of 4-AP (second trace) produces a clear increase in background noise and EAP/LFP activity. Importantly, the activity remains relatively stable for at least 15 min after 4-AP-induced activity is established (third trace). Addition of TTX (1 µM) abolishes all activity (bottom trace). (B) Schematic (left) shows analyzer software configuration for data analysis. The raw data explorer tool is used to import recordings collected by recording software. These data are then run through a cross-channel filter tool that subtracts the selected reference electrode(s) signal(s) from other electrodes to remove background noise. Data pass through the EAP filter and the LFP filter tools to optimize signal-to-noise relationships for each waveform. Following this step, the EAP path data enter the EAP detector tool, where thresholds are set. EAPs are detected and then sent to the EAP analyzer tool where the latencies of each event are recorded and exported as a txt. file. An identical workflow occurs for LFP data using a corresponding LFP toolkit. Right traces show data from a single MEA channel containing various extracellular waveforms. Location of EAP and LFP signals are highlighted in the above 'count rasters.' Lower traces are epochs from upper recording (denoted by red bars) showing waveforms on an expanded timescale, including various LFP signals (note the variety of appearances) and individual extracellular EAPs (red circles). Note, LFP/EAP waveform and polarity vary relative to the number of neurons producing these signals, their proximity to the recording electrode, and their location in relation to the nearby electrode(s). Abbreviations: MEA = microelectrode array; EAP = extracellular action potential; LFP = local field potential; 4-AP = 4-aminopyridine; TTX = tetrodotoxin. Please click here to view a larger version of this figure.
Model of network activity in the spinal cord dorsal horn
Application of 4-AP reliably induces synchronous rhythmic activity in the spinal cord DH. Such activity presents as increased EAPs and LFPs. The later signal is a low-frequency waveform, which has previously been described in MEA recordings30. Changes in EAP and/or LFP activity following drug application reflect altered neural activity. Examples of EAPs and LFPs are shown in Figure 3B and Figure 4. The focus here is on the following parameters or features of the EAP/LFP data: frequency, total counts, active electrode counts, synchronicity as characterized by the number of coincident events detected across multiple electrodes, number of linked adjacent electrodes, and the strength of linkages between adjacent electrodes. Representative results are shown in Table 3 and Figure 3, Figure 4, Figure 5, Figure 6, Figure 7, and Figure 8. They show a significant increase in all the parameters measured (all p<0.001 by paired t-test or the Wilcoxon Signed-Rank non-parametric equivalent test) for both EAPs (Figure 5 and Figure 6) and LFPs (Figure 7 and Figure 8) following 4-AP stimulation and then relative stability for the remainder of the recordings. Data were tested for normality prior to statistical analysis. In summary, 4-AP induces EAP and LFP activity in the spinal cord DH, and various features of the data can be extracted from the MEA recordings. The activity is reproducible, and much of the activity, particularly for LFPs, is rhythmic and synchronous.
Activity Feature | Baseline | 4-Aminopyridine | Significant Difference |
Extracellular Action Potentials (EAPs) | |||
Frequency | 0.07 ± 0.01 | 0.88 ± 0.09 | p<0.001 |
Total Spike Count | 261.41 ± 70.62 | 3289. 57 ± 484.38 | p<0.001 |
Active Electrode Count | 2.36 ± 0.34 | 8.95 ± 0.68 | p<0.001 |
Number of Coincident Spikes | 9.26 ± 4.01 | 966.94 ± 189.21 | p<0.001 |
Number of Linked Electrodes | 2.03 ± 0.42 | 24.06 ± 1.96 | p<0.001 |
Strength of Linkages Between Electrodes | 1.97 ± 0.58 | 29.13 ± 4.60 | p<0.001 |
Local Field Potentials (LFPs) | |||
Frequency | 0.00 ± 0.00 | 0.28 ± 0.03 | p<0.001 |
Total Spike Count | 4.79 ± 0.82 | 688.47 ± 121.16 | p<0.001 |
Active Electrode Count | 0.41 ± 0.16 | 7.64 ± 0.73 | p<0.001 |
Number of Coincident Spikes | 0.43 ± 0.23 | 108.06 ± 278.22 | p<0.001 |
Number of Linked Electrodes | 0.24 ± 0.15 | 22.91 ± 2.46 | p<0.001 |
Strength of Linkages Between Electrodes | 0.34 ± 0.19 | 29.20 ± 3.59 | p<0.001 |
Table 3: 4-Aminopyridine-induced activity. All presented as means ± SEM.
Figure 4: Exemplar baseline extracellular action potential activity. Panels show EAP activity (recordings are from different slices). Most electrodes in a given slice recording did not show baseline EAP activity (upper panel). Low-frequency sporadic EAPs were occasionally observed at baseline, potentially containing multiple spike waveforms (middle panel). High-frequency EAP activity was rarely observed in recordings at baseline (lower panel). Insets show individual EAPs from corresponding recordings on an expanded timescale. Abbreviation: EAP = extracellular action potential. Please click here to view a larger version of this figure.
Slice orientation
The DH circuitry activated by 4-AP is connected in all three dimensions. Thus, slice orientation is an important consideration for in vitro preparations. Sagittal or horizontal slicing may be preferential to observe intersegmental signaling, whereas transverse slices better preserve mediolateral and dorsoventral connectivity. Given these considerations, it can be seen that 4-AP stimulation induces similar rhythmic activity in the SDH, regardless of slice orientation (see Figure 9).
Long-term stability of 4-AP induced activity
The stability of 4-AP-induced activity is obviously crucial when studying the effects of applied drugs. Therefore, the stability of 4-AP-induced activity parameters was characterized, and this is presented in Figure 5, Figure 6, Figure 7, and Figure 8 and Table 4. All activity characteristics, plus the coincidence of activity for LFPs, were stable based on the similarity of 4-AP-induced activity at 12 min after 4-AP application and 15 min later (p>0.05). Other LFP synchronicity characteristics, the number of linked adjacent electrodes, and linkage strength between adjacent electrodes decreased over 15 min (p=0.016 and p=0.033, respectively), though the difference was modest. This gradual change could easily be distinguished from the more immediate actions of a test drug during pharmacological studies (see below). Data were tested for normal distribution before statistical comparisons and then assessed using paired t-tests or non-parametric Wilcoxon Signed-Rank tests as appropriate.
Activity Feature | 4-Aminopyridine | 4-Aminopyridine (15 min) | Significant Difference |
Extracellular Action Potentials (EAPs) | |||
Frequency | 0.8 ± 0.13 | 0.85 ± 0.10 | p>0.05 (no dif.) |
Total Spike Count | 2706.36 ± 510.96 | 2838.09 ± 447.73 | p>0.05 (no dif.) |
Active Electrode Count | 9.32 ± 0.70 | 10.09 ± 0.56 | p>0.05 (no dif.) |
Number of Coincident Spikes | 1037.63 ± 306.84 | 1013.09 ± 269.80 | p>0.05 (no dif.) |
Number of Linked Electrodes | 22.00 ± 3.37 | 22.41 ± 2.56 | p>0.05 (no dif.) |
Strength of Linkages Between Electrodes | 30.44 ± 6.27 | 31.88 ± 7.68 | p>0.05 (no dif.) |
Local Field Potentials (LFPs) | |||
Frequency | 0.25 ± 0.03 | 0.17 ± 0.03 | p>0.05 (no dif.) |
Total Spike Count | 792.32 ± 155.83 | 546.32 ± 120.93 | p>0.05 (no dif.) |
Active Electrode Count | 9.50 ± 1.11 | 7.86 ± 1.00 | p>0.05 (no dif.) |
Number of Coincident Spikes | 1631.27 ± 734.77 | 1073.00 ± 490.85 | p>0.05 (no dif.) |
Number of Linked Electrodes | 26.68 ± 4.58 | 20.95 ± 3.68 | p<0.05 |
Strength of Linkages Between Electrodes | 33.35 ± 6.19 | 24.81 ± 5.41 | p<0.05 |
Table 4: 4-Aminopyridine activity stability. All presented as means ± SEM.
Pharmacological investigation of activity characteristics
To demonstrate that MEA-recorded 4-AP-induced activity is readily amenable to pharmacological manipulations, the dependence of these signals on action potential discharge was highlighted. Bath application of the voltage-gated sodium channel antagonist, tetrodotoxin (TTX, 1 μM), abolished both EAP and LFP activity, confirming spike dependency of these signals. Example traces are shown in Figure 3A. This result also provides an example of the utility of the preparation for future pharmacological investigations, where novel compounds and established analgesics can be assessed for their action in activated spinal DH circuits. Finally, to shed further light on the relevance of 4-AP activation of the DH networks, an alternative approach was trialed to achieve modest depolarization of the DH network. In this approach, an elevated potassium (4.5 mM) aCSF solution (Table 1) was bath-applied and shown to evoke a similar DH response to 4-AP stimulation. This manipulation evoked LFP activity that featured the same synchronous characteristics as 4-AP-induced responses (Figure 10), suggesting a similar mechanism and underlying circuitry.
Figure 5: Example 4-aminopyridine-induced extracellular action potential activity. (A) Raster plots show EAP activity from active channels, detected at baseline (upper) and two timepoints (12 min – established, and 27 min) following bath addition of 4-AP (middle and lower). Vertical blue windows highlight periods of synchronous (close latency) activity in more than 5 recording electrodes. (B) Panels summarize EAP activity map analysis of MEA data. Left schematic shows the orientation of spinal cord slice relative to the electrode array. Middle left panel summarizes activity at baseline (active electrodes colored red) and EAP frequency indicated by white shading around active electrodes (shading intensity denotes increased activity). Middle right panel shows activity in the same slice after 12 min of 4-AP exposure. Note, the number of active electrodes (red) increased along with EAP frequency. In addition, synchrony between adjacent electrodes is indicated by red connecting lines, producing a network map of activity (line thickness denotes the degree of EAP similarity between electrodes). Right panel shows activity in the same slice following a further 15 min of 4-AP exposure. Note the number of active electrodes (red), degree of EAP activity (white), and network structure (red lines) have remained stable over this period. Abbreviations: 4-AP = 4-aminopyridine; EAP = extracellular action potential; MEA = microelectrode array. Please click here to view a larger version of this figure.
Figure 6: Group data summary of 4-aminopyridine-induced extracellular action potential activity. (A–F) Group data plots summarizing EAP properties from several experiments identical to the EAP data presented in Figure 4 (data also summarized in Table 3 and Table 4). EAP frequency (A), count (B), coincident events (C), active electrodes (D), linked electrodes (E), and average linkage strength (F) rose after bath application of 4-AP and were then stable for 15 min following the establishment of 4-AP-induced activity. Data are from 11 experiments (data in red is from the experiment in Figure 5). Abbreviations: 4-AP = 4-aminopyridine; EAP = extracellular action potential. Please click here to view a larger version of this figure.
Figure 7: 4-Aminopyridine-induced local field potential activity. Data are presented as in Figure 5 except for LFP data. (A) Raster plots show LFP activity from multiple channels, detected at baseline (upper) and two timepoints (12 min – established, and 27 min) following bath addition of 4-AP (middle and lower). Vertical blue windows highlight periods of synchronous (close latency) activity in more than 5 recording electrodes. (B) Panels summarize LFP activity map analysis of MEA data. Left schematic shows the orientation of spinal cord slice relative to the electrode array. Middle left panel summarizes activity at baseline (active electrodes colored red), with minimal LFP frequency indicated by white shading around active electrodes (shading intensity denotes increased activity). Middle right panel shows activity in the same slice after 12 min of 4-AP exposure. The number of active electrodes (red) and LFP frequency are substantially increased. In addition, synchrony between adjacent electrodes (red connecting lines) shows a strong network map of LFP activity (line thickness denotes the degree of similarity between electrodes). Right panel shows LFP activity in the same slice following a further 15 min of 4-AP exposure. Note the number of active electrodes (red), degree of LFP activity (white), and network structure (red lines) are relatively stable over this period. Abbreviations: 4-AP = 4-aminopyridine; MEA = microelectrode array; LFP = local field potential. Please click here to view a larger version of this figure.
Figure 8: Group data summary of 4-aminopyridine-induced local field potential activity. (A–F) Group data plots summarizing LFP properties from several experiments identical to the EAP data presented in Figure 7 (data also summarized in Table 3 and Table 4). LFP frequency (A), count (B), coincident events (C), and active electrodes (D) were stable for 15 min after the 4-AP effect peaked (data in red is from the experiment in Figure 7). However, linked electrodes (E) and the average LFP linkage strength (F) decreased over time (both p<0.05). Data are from 11 experiments (data in red is from the experiment in Figure 7). Abbreviations: 4-AP = 4-aminopyridine; LFP = local field potential. Please click here to view a larger version of this figure.
Figure 9: 4-Aminopyridine-induced extracellular action potential and local field potential activity in sagittal and horizontal slices. Panels summarize EAP and LFP activity in MEA network map analysis of 4-AP-induced signaling in sagittal (A) and horizontal (B) spinal cord slices. Schematics (far left) show the orientation of spinal cord slices relative to rectangular electrode arrays. Left network maps show baseline EAP and LFP activity in sagittal (A) and horizontal (B) spinal cord slices (active electrodes are red, frequency indicated by white shading intensity, and synchrony between adjacent electrodes by red connecting lines with thickness denoting the degree of synchrony). Right network maps show EAP and LFP activity in the same slice after 12 min of 4-AP exposure in sagittal (A) and horizontal (B) spinal cord slices. Note the substantial increase in the number of active electrodes, frequency of activity, and synchrony of these signals following 4-AP exposure, unmasking networks in both slice orientations. Abbreviations: MEA = microelectrode array; EAP = extracellular action potential; LFP = local field potential; 4-AP = 4-aminopyridine. Please click here to view a larger version of this figure.
Figure 10: Elevated potassium (high K+)-induced local field potential activity. Panels summarize high K+ (4.5 mM) aCSF-induced LFP activity. (A) Example traces from one MEA channel at baseline and following bath addition of high K+ aCSF (5-min epochs). Elevation of K+ concentration produced clear LFP activity that was absent at baseline, similar to that seen with 4-AP application (Figure 3). Inset shows an LFP waveform on an expanded timescale. (B) Panels summarize LFP network activity induced by high K+ aCSF. Left schematic shows orientation of spinal cord slices relative to square electrode arrays. Network maps compare baseline and high K+-evoked LFP activity (active electrodes red, frequency indicated by white shading intensity, and synchrony between adjacent electrodes by red connecting lines with thickness denoting degree of synchrony). Note the substantial increase in the number of active electrodes, frequency of activity, and synchrony of these signals following high K+ aCSF exposure, unmasking the underlying network in a similar manner to 4-AP. Abbreviations: aCSF = artificial cerebrospinal fluid; MEA = microelectrode array; EAP = extracellular action potential; LFP = local field potential; 4-AP = 4-aminopyridine. Please click here to view a larger version of this figure.
Despite the importance of the spinal DH in nociceptive signaling, processing, and the resulting behavioral and emotional responses that characterize pain, the circuits within this region remain poorly understood. A key challenge in investigating this issue has been the diversity of neuron populations that comprise these circuits6,31,32. Recent advances in transgenic technologies, led by optogenetics and chemogenetics, are beginning to unravel these important connections and define the microcircuits that process sensory information1,2,3,4,8,9,10,11,12,13,14. Reconciling how these microcircuits come together to shape activity in larger networks of DH neurons remains challenging, especially for developing new and more effective pain treatments. Here, a functional model of DH activity monitored on MEAs and using 4-AP-stimulated rhythmic activity to study broader network connectivity is described. This model reveals local extracellular spiking (EAPs) and larger network-based LFPs, which depend on action potential discharge and can be used to map changes in network properties. By combining the use of MEAs to facilitate circuit investigation and 4-AP to uncover the underlying circuits, this preparation allows DH circuit function to be studied at a regional or 'macroscopic' level.
Advantages of the MEA/4-AP spinal cord slice model include tight experimental control of an in vitro preparation, which is amenable to detailed pharmacological investigation and provides high spatial and temporal resolution of neural activity-individual, i.e., EAPs and LFPs across a large tissue region and multichannel data that can assess signaling across networks and regions. Importantly, 4-AP-induced rhythmic activity is reliable, reproducible, and can be studied in different spinal cord slice orientations. This preparation helps bridge the gap between single-cell and whole-animal investigations and can reveal changes within these circuits under both normal and pathological conditions. The effects of various drugs on network activity can also be determined. Thus, this platform could act as a screening tool for investigating the actions of existing and novel analgesics on DH circuits.
There are several critical steps in this protocol. First, careful tissue preparation is key to producing slices that are viable for experiments and sensitive to 4-AP, regardless of slice orientation. A number of resources are highlighted here that provide detailed information and troubleshooting advice. Briefly, accuracy in making solutions, rapid but meticulous dissection of the spinal cord, optimized slicing parameters to minimize tissue compression and damage, and care when transferring slices at any point are all important factors in the preparation phase. Careful handling of MEAs, particularly when in close proximity to the electrodes, is key to maintaining the function of these components. The optimal position of the DH over the maximum number of MEA electrodes is important for increasing the recording yield of each experiment. When using 3D MEAs, more care and practice are required, especially when positioning and removing slices. It is easy to drag the tissue across protruding MEA electrodes and compromise future use.
There are some caveats to the approach described here. Unlike in single-cell recordings, where the identity of neurons being studied can be determined using either genetic labeling or post hoc immunolabeling, the exact source of the electrical signals detected by MEAs cannot be determined. Another challenge is the level of baseline activity in spinal cord slices. Although some reports describe tonically active DH neurons at baseline, the most recent work is in young neonatal tissue33,34. Furthermore, tonic activity reported in adult tissue is typically recorded using a searching strategy where electrodes are advanced to first identify and then study this activity35. When an unbiased sampling approach is used, establishing recording before assessing activity, less than 20% of adult DH neurons exhibit ongoing spiking (28/150 recordings), and regular discharge was only observed in 2% of these cells (3/150)36.
Given this ratio and the fixed nature of electrodes relative to a tissue slice, it is unsurprising that few MEA electrodes (~2 electrodes/slice in these MEAs) exhibit activity at baseline. This lack of activity is the primary reason the method described here involves stimulating slices with 4-AP to enhance EAPs and evoked LFP activity. This approach is based on the use of 4-AP to activate rhythmic circuit activity in many in vitro preparations, from studying epileptiform mechanisms in the cortex and hippocampus through to fictive locomotor activity in the ventral horn of the spinal cord37,38,39. An extensive literature also highlights that 4-AP induces activity confined to superficial DH circuits in spinal slices and depends on excitatory and inhibitory synaptic transmission as well as electrical synapses 20,21,22. Furthermore, in vivo 4-AP administration produces a dose-dependent increase in DH neuron receptive fields without altering responses to graded stimulation in the central receptive zone or causing degenerate responses24. Finally, it can be seen that a modest depolarization of these circuits by elevating extracellular potassium ion concentration also produces comparable LFP activity. Together, these observations support the view that 4-AP unmasks functionally relevant networks within the superficial DH that can be studied with MEAs. Finally, the exact source of LFP activity is unclear, though these waveforms are thought to represent a summation of activity detected from multiple neurons surrounding an electrode. They may relate to or result from bursting activity in neurons or correspond to synaptic potentials30. Regardless of their origins, the characteristics of LFPs can be compared within and between slices (multiple recordings/drug applications), providing a valuable readout of circuit and network function.
The nature of in vitro slice preparations also warrants consideration, with the potential disruption of neuronal circuits and damage to cells on the slice surface. Despite this, slicing the tissue provides more direct electrical access to the relevant DH circuits and uninterrupted pharmacological access. These experimental advantages and disadvantages should be carefully considered, with emphasis on the importance of considering slice orientation to maximally preserve connectivity in the networks of interest. For the vast majority of data presented in this paper, medial-lateral spread of activity within the dorsal horn and the intrinsic connectivity of the neurons in this region are presented. To investigate rostro-caudal activity spread, the use of sagittal or horizontal slices preferentially maintains connectivity between spinal segments, as highlighted in Figure 9.
Additionally, it is unavoidable that sectioning the spinal cord will result in some degree of damage at the surface of slices. Minimizing this damage comes back to the careful preparation of tissue, slicing parameters-including slow advance speed and high-frequency blade oscillations-and solutions and conditions that are neuroprotective during this process. A detailed assessment of the benefit of different conditions for spinal cord slice health has been published previously40. Notwithstanding the potential impact of slice health on MEA recordings, internal consistency in slice preparation procedures ensures that this factor impacts results across a dataset equally. It should also be noted that that MEA electrodes are thought to pick up signals arising approximately 30-100 µm away from the activity source. As the damaged slice surface is likely to span the top cell layer, approximately 15-30 µm, the effects of slicing-related damage on MEA recordings can be managed and mitigated to still yield valuable datasets and insights on DH network activity15,41.
In summary, the MEA/4-AP spinal cord slice approach described here provides a platform for understanding the connectivity of DH circuits and how the networks they form drive spinal pain processing. There is also potential for further methodological expansion in terms of analysis parameters, network stimulation source, and its capacity to be used as a platform for pharmacological screening or use with models of pathological pain.
The authors have nothing to disclose.
This work was funded by the National Health and Medical Research Council (NHMRC) of Australia (grants 631000, 1043933, 1144638, and 1184974 to B.A.G. and R.J.C.) and the Hunter Medical Research Institute (grant to B.A.G. and R.J.C.).
4-aminopyridine | Sigma-Aldrich | 275875-5G | |
100% ethanol | Thermo Fisher | AJA214-2.5LPL | |
CaCl2 1M | Banksia Scientific | 0430/1L | |
Carbonox (Carbogen – 95% O2, 5% CO2) | Coregas | 219122 | |
Curved long handle spring scissors | Fine Science Tools | 15015-11 | |
Custom made air interface incubation chamber | |||
Foetal bovine serum | Thermo Fisher | 10091130 | |
Forceps Dumont #5 | Fine Science Tools | 11251-30 | |
Glucose | Thermo Fisher | AJA783-500G | |
Horse serum | Thermo Fisher | 16050130 | |
Inverted microscope | Zeiss | Axiovert10 | |
KCl | Thermo Fisher | AJA383-500G | |
Ketamine | Ceva | KETALAB04 | |
Large surgical scissors | Fine Science Tools | 14007-14 | |
Loctite 454 Instant Adhesive | Bolts and Industrial Supplies | L4543G | |
MATLAB | MathWorks | R2018b | |
MEAs, 3-Dimensional | Multichannel Systems | 60-3DMEA100/12/40iR-Ti, 60-3DMEA200/12/50iR-Ti | 60 titanium nitride (TiN) electrodes with 1 internal reference electrode, organised in an 8×8 square grid. Electrodes are 12 µm in diameter, 40 µm (100/12/40) or 50 µm (200/12/50) high and equidistantly spaced 100 µm (100/12/40) or 200 µm (200/12/50) apart. |
MEA headstage | Multichannel Systems | MEA2100-HS60 | |
MEA interface board | Multichannel Systems | MCS-IFB 3.0 Multiboot | |
MEA net | Multichannel Systems | ALA HSG-MEA-5BD | |
MEA perfusion system | Multichannel Systems | PPS2 | |
MEAs, Planar | Multichannel Systems | 60MEA200/30iR-Ti, 60MEA500/30iR-Ti | 60 titanium nitride (TiN) electrodes with 1 internal reference electrode, organised in either a 8×8 square grid (200/30) or a 6×10 rectangular grid (500/30). Electrodes are 30 µm in diameter and equidistantly spaced 200 µm (200/30) or 500 µm (500/30) apart. |
MgCl2 | Thermo Fisher | AJA296-500G | |
Microscope camera | Motic | Moticam X Wi-Fi | |
Multi Channel Analyser software | Multichannel Systems | V 2.17.4 | |
Multi Channel Experimenter software | Multichannel Systems | V 2.17.4 | |
NaCl | Thermo Fisher | AJA465-500G | |
NaHCO3 | Thermo Fisher | AJA475-500G | |
NaH2PO4 | Thermo Fisher | ACR207805000 | |
Rongeurs | Fine Science Tools | 16021-14 | |
Small spring scissors | Fine Science Tools | 91500-09 | |
Small surgical scissors | Fine Science Tools | 14060-09 | |
Sucrose | Thermo Fisher | AJA530-500G | |
Superglue | cyanoacrylate adhesive | ||
Tetrodotoxin | Abcam | AB120055 | |
Vibration isolation table | Newport | VH3048W-OPT | |
Vibrating microtome | Leica | VT1200 S |