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Changes in Activity of the Same Thalamic Neurons to Repeated Nociception in Behaving Mice

  • Yeowool Huh,

    Affiliation Center for Neural Science, Korea Institute of Science and Technology, L7313 Hawolgok-dong Seongbuk-gu, Seoul, South Korea

  • Jeiwon Cho

    jeiwon@kist.re.kr

    Affiliations Center for Neural Science, Korea Institute of Science and Technology, L7313 Hawolgok-dong Seongbuk-gu, Seoul, South Korea, Neuroscience, University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon, South Korea

Abstract

The sensory thalamus has been reported to play a key role in central pain sensory modulation and processing, but its response to repeated nociception at thalamic level is not well known. Current study investigated thalamic response to repeated nociception by recording and comparing the activity of the same thalamic neuron during the 1st and 2nd formalin injection induced nociception, with a week interval between injections, in awake and behaving mice. Behaviorally, the 2nd injection induced greater nociceptive responses than the 1st. Thalamic activity mirrored these behavioral changes with greater firing rate during the 2nd injection. Analysis of tonic and burst firing, characteristic firing pattern of thalamic neurons, revealed that tonic firing activity was potentiated while burst firing activity was not significantly changed by the 2nd injection relative to the 1st. Likewise, burst firing property changes, which has been consistently associated with different phases of nociception, were not induced by the 2nd injection. Overall, data suggest that repeated nociception potentiated responsiveness of thalamic neurons and confirmed that tonic firing transmits nociceptive signals.

Introduction

A body could be involuntarily exposed to repeated injuries, but how the body responds to repeated injury is poorly understood. Studies on repeated tissue injuries suggest that it may lead to either adaptive or pathological changes. Protective adaptation was reported to occur in some cases with decreased inflammatory response and increased tissue regeneration [14], while another study reported reduced tissue regeneration and increased responsiveness of primary afferent neurons, suggested to be a trigger for developing chronic pain [5]. Despite many studies that tie abnormalities in thalamic structure and activity with various chronic pain states ranging from arthritis to neuropathic pain [68], understanding of neuronal response to repeated pain at thalamic level is yet limited.

The thalamus is a structure which relays sensory information to the cortex including pain signals [9]. The sensory thalamus, which includes the ventral posterolateral (VPL) and the ventral posteromedial (VPM) nuclei, has nociception specific neurons and is hypothesized to play a key role in sensory signal discrimination and modulation [1015]. Studies showing alteration in thalamic structures or changes in thalamic activities associated with many different types of pain disorders emphasize its importance in pain signal processing [7,8,16,17]. Sensory modulation is proposed to occur via the characteristic ability of a single thalamic neuron to switch between tonic and burst firing modes [15,18,19], respectively referring to firing in single spikes or a burst of high frequency spikes. Since the switch between the two firing modes are dependent on arousal state with burst firing becoming more prevalent during sleep or anesthesia [2022], some studies suggested that increased thalamic burst firing activity observed during the awake state of patients may cause neuropathic pain [8,17,23]. Whether increased burst firing during the awake state is actually the cause of neuropathic pain is controversial [16,24], but alterations in burst firing properties have beenreported in neuropathic pain models [25,26].

Although many studies investigated the role of the thalamus in acute and chronic pain conditions, how thalamic neurons respond to repeated nociceptive stimuli is not well studied. Considering the importance of the thalamus in pain processing, response of thalamic neurons to repeated nociceptive stimuli has been investigated in this study. Activities of identical neurons in the sensory thalamus, that directly receives nociceptive inputs via the spinothalamic tract [9], were recorded before and after two nociceptive stimulations induced by formalin in awake and behaving mice. Formalin induced nociception was used because it is a well characterized pain model suggested to be a good model of clinical pain [27].

Materials and Methods

Ethics statement

All experiments were approved and conducted in accordance to the guideline of Animal Care and Use Committee (IACUC) of Korean Institute of Science and Technology (protocol number: AP-201001034). Surgical procedures were conducted under general anesthesia (Zoletil, 30 mg/kg body weight) and monitored daily after surgery. Mice were handled gently before and during experiments to minimize their suffering.

Subjects

First generations of C57BL/6J × 129/SvJae hybrid male mice were used in experiments. Mice were maintained at constant temperature (22±1°C) with free access to food (constant nutrition formula, PicoLab) and water under a 12:12 hour light and dark cycle (light cycle beginning at 8:00 AM). Behavioral and neuronal recordings were done in different sets of mice due to technical constrains, since recording cable attached to microdrives for neuronal recordings interfered with the expression of nociceptive behavior such as licking. However, general movements were unhindered and mice were freely moving with the recording cable attached. Mice for behavior assessment were group caged: 2–3 mice per cage. For neuronal recordings, mice were initially group caged, but were individual caged after microdrive implantation surgery to protect implantation.

Behavioral assessment of nociceptive responses

Total of 9 mice (10–14 weeks, 24–33g body weight) were used for behavioral assessment of repeated nociception. Five mice (11–12 weeks, 24–25g body weight) were used for control. Prior to all tests, mice were handled and habituated to the recording environment for at least 20 min per day for a week. Recording chamber were made of opaque plastic cylinder (20 cm diameter, 25 cm height) placed on top of a clear plastic cube with a beveled mirror placed at a 45° angle for behavioral monitoring. To induce nociception, 10 μl of formalin (5%, 1:20 dilution of 37% formalin solution in deionized water) was injected into the left hind plantar paw and behavior was videotaped for an hour. Second formalin injection was given after a week. For control, saline (10 μl) was injected in place of formalin using the same protocol. After completion of behavioral experiments, videos were analyzed by at least two investigators ‘blinded’ to test groups. Degree of nociception was measured by summing the duration of licking and shaking behavior of the formalin injected paw in 5 min segments. Then phases-wise analysis was done based on behavioral nociception changes for better comparison between behavior and neuronal activities.

Microdrive implantation surgery

Craniotomy was performed to record neural signals. Mice were anesthetized with Zoletil (30 mg/kg body weight, i.p.) and supplementary dose, one third of the initial dose, was given to maintain full anesthesia throughout the surgery. Anesthetized mice were hooked up onto a stereotaxic instrument (Kopf, USA) for craniotomy. A hole was drilled above the target after exposing the skull and a microdrive with tetrodes (four 12.5μm nichrome polyamide-insulated microwires were intertwined into one tetrode, Kanthal precision technology; recording tip of each tetrode channel was gold plated to 400–500 kΩ) was placed into the right sensory thalamus (VPM/VPL; AP: -1.57 mm, ML: -1.8 mm, DV: -3.25 mm). After implantation, the microdrive was secured onto the skull with stainless steel screws and dental cement. Mice were allowed to recover for a week and the condition of mice was monitored every day.

Extracellular single unit recording

Recordings were done under dim lighting with a white noise generator set at a maximum of 85 dB. Each mouse was allowed to habituate to the experimental setting, identical to the one used for behavioral assessment, for at least 20 min. Neuronal signals were obtained with the Cheetah Acquisition System (Neuralynx, USA) and signals were filtered, amplified, and sampled at 30,303 Hz. For both formalin injections and saline control, spontaneous firing rate before injection was recorded for 10 min as baseline and induced firing rate after injection was recorded for an hour. A week interval was given between formalin injections. Injections (10 μl of saline or 5% formalin, 1:20 dilution of 37% formalin solution in double de-ionized water) were given to the left plantar paw, contra-lateral to the neuronal signal recording side. Mice were unrestrained and allowed to freely move during all recording sessions.

Data analysis

Neuronal spike data were collected with the Cheetah Acquisition System (Neuralynx, USA) and sorted into single units using the SpikeSort3D program (Neuralynx). Isolated signals were confirmed to originate from a single unit with inter-spike-interval histograms and cross-correlation analysis. Only the same pairs of well-isolated signals recorded during both the 1st and 2nd formalin injections, confirmed to be in the sensory thalamus post mortem, were used for data analysis. Thalamic neuronal signals were obtained from total of 9 mice, but only 5 mice (10-14weeks, body weight 24–32 g) had signals from identical neurons in both formalin injections. For saline control, all recorded neurons (not identical neurons recorded during both saline injections) obtained from 4 mice (12–13 weeks, body weight 24-26g), were analyzed. Overall, tonic and burst firing rates (spikes/s) were analyzed from spike train of individual neurons in 5 min segments or in phases (phase I, interphase, phase II, and phase III) for better comparison between neuronal signals and behavior. Since a single thalamic neurons is able to switch between tonic and burst firing, tonic and burst spikes were separated from overall spikes by distinguishing burst spikes and considering all non-burst spikes to be tonic spikes. A criterion for distinguishing low threshold spike (LTS) bursts [28]—spikes consisting of at least 2 spikes occurring within ≤4 ms with ≥100 ms proceeding silence—was used to determine burst spikes. Bursting properties—the number of burst spikes composing a burst, interval-between-bursts, and interval-between-burst-spikes—were also analyzed over time in 5 min segments. To compare changesin firing rate induced by formalin or saline injections, relative to the baseline firing rate, data were normalized by the following method: (firing rate after injection–baseline firing rate) / (firing rate after injection + baseline firing rate). This normalization method gives an accurate representation of the neural changes induced by formalin relative to the baseline of each individual cell, but the magnitude of relative neuronal activity changes is not reflected. In this method, value of -1 is the minimum, +1 is the maximum, and 0 indicates no change. Two tailed t-test was used to test the difference in firing rate and burst firing properties between the 1st and 2nd formalin injections and to compare changes induced by the 2nd formalin or 2nd saline injection with the baseline. A p-value of 0.05 was used to determine significance.

Histology

Locations of neuronal signal recording were verified with histology. Small electrolytic lesion was made at the tip of the recording site by passing anodic current (5–20 μA, 10 s) through tetrode channels. After completion of the study, mice were overdosed with 2% avertin and transcardially perfused with saline (0.9%) followed by formalin (10% formalin diluted in saline). Brains were removed and stored in formalin (10% formalin diluted with deionized water) for a day, and transferred to a 30% sucrose solution for another day for further fixation. Fixed brain tissues were cut frozen in coronal sections (50 μm) through the entire thalamus with a microtome (Microm). Brain slices were dried for a day and stained with cresyl violet. Stained slices were examined under a light microscope to determine locations of electrolytic lesion.

Results

Behavioral response to repeated nociception

First, behavioral response to repeated nociception was investigated by injecting formalin (5%, 10 μl each injection) or saline (10 μl) twice to the plantar hind paw of mice with a week term (Fig 1A). Both the 1st and 2nd formalin injections induced characteristic response of a formalin test with phasic nociceptive responses separated by the interphase (5–10 min) with identical peak nociceptive response timing at 0–5 min and 15–20 min (Fig 1B). Saline injections, however, did not trigger any nociceptive responses and there were no response difference between the 1st and 2nd saline injections (Fig 1B). Since the formalin pain model triggers complex changes in behavior, nociceptive responses were also analyzed in phases, based on the rise and declination in nociceptive behavior, for direct and simplified comparisons between behavior and neuronal activities: phase I (0–5 min), interphase (5–10 min), phase II (10–35 min), and phase III (35–60 min; Fig 1C). The 2nd formalin injection induced hyperalgesic response relative to the 1st, with significantly higher degree of nociception during the interphase and initial part of the phase II nociception (5–20 min; Fig 1B). PhaseI of the 2nd formalin injection had a tendency to be slightly higher than that of the 1st formalin injection, but was statistically insignificant (P = 0.06, Fig 1B). These differences in the degree of nociception between the 1st and 2nd injections are well represented in the phasic analysis of behavior, showing significant difference in the interphase and phase II (Fig 1C).

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Fig 1. Behavioral response to repeated nociception.

(A) Schematic drawing of the experiment procedure. Formalin or saline was injected into the left paw pad twice with one week term. (B) Behavioral nociceptive response of 1st and 2nd formalin or saline injections. (C) Phasic analysis of behavioral nociceptive responses of 1st and 2nd injections, based on changes in behavior. All data points are mean±SEM. Two tailed t-test was used to compare the degree of nociception between 1st and 2nd formalin injections for each time segments and phases or between 1st and 2nd saline injections at each time segments, *P<0.05.

https://doi.org/10.1371/journal.pone.0129395.g001

Relationship between thalamic activity and repeated nociception

Next, relationship between thalamic activity and behavior induced by the 2nd formalin injection was investigated to show whether changes in thalamic activity reflect behavioral changes. In total, activities of 48 and 34 single neurons were recorded during the 1st and 2nd formalin injections, respectively, but only 19 neurons recorded during both injections were used in the current analysis. All 13 neurons recorded during the 2nd saline injection were analyzed because there were no significant behavioral differences between the 1st and 2nd saline injections. Activities of primary sensory thalamic neurons recorded in the VPM and VPL region were normalized relative to the baseline to reveal changes induced by injections. Changes in overall firing rate of thalamic neurons by formalin injection mirrored the changes of the behavioral nociceptive responses. It significantly increased relative to the baseline during phase I, interphase, and most of phase II when behavioral nociceptive responses remained high (0–30 min) and then returned to the baseline to remain at baseline level during phase III (35–60 min; Fig 2A). Overall firing rate of the 2nd saline injection, on the other hand, never increased above the baseline level (Fig 2A saline Overall). Since a single thalamic neuron is able to switch between burst and tonic firing modes, which are suggested to have differential roles, burst and tonic firing were separated from overall firing as described in the Methods section and analyzed. Samples of a single neuron’s firing in burst and tonic mode are shown in Fig 2B. Tonic and burst firing activity also changed interactively according to the changes in behavioral nociceptive responses. Tonic firing increased significantly relative to the baseline after the 2nd formalin injection, like that of the overall firing rate, while burst firing was significantly decreased during the same period (Fig 2C). Both tonic and burst firing activity returned to the baseline level by phase III, when behavioral nociceptive responses were low. In contrast, no changes in tonic and burst firing rate changes were induced by the 2nd saline injection at most time segments.

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Fig 2. Thalamic neuronal activity changes induced by 2nd formalin or 2nd saline injection.

(A) Overall thalamic neuronal firing rate changes and behavior nociceptive responses induced by 2nd formalin or saline injection. (B) Sample of a thalamic neuron firing in burst (+) or tonic (•) spikes. (C) Tonic and burst firing of thalamic neurons after 2nd formalin or saline injection. Blue line indicates tonic firing, red line indicates burst firing, and dotted line is the behavioral responses. (A and C) All data points are mean±SEM. Formalin N = 19 neurons from 2nd injection recorded in pairs, 5 mice. Saline N = 13 neurons, 4 mice. Two tailed t-test was used to compare each data points with respective baselines. * indicates significant difference at P<0.05.

https://doi.org/10.1371/journal.pone.0129395.g002

To track changes in thalamic response to repeated formalin injections, the same neurons recorded during both injections were analyzed in pairs (19 pairs). Fig 3A shows spike sorting sample of the three paired neurons recorded during both injections. The same neuron was identified by similar topology of waveform shapes and sizes captured from individual wires of a tetrode and the shape of an inter-spike-interval histogram. As shown in the spike sorting samples, some neurons that were detected during the 1stinjection disappeared and new neurons appeared during the 2ndinjection, but these neurons were excluded from the analysis. Baseline neuronal firing frequencies before formalin injections were the same for overall, tonic, and burst firing between injections (Fig 3B). However, the 2nd formalin injection induced significant potentiation of the overall thalamic firing rate, compared to that of the 1st, during all phases except phase I (Fig 3C, bar graph), indicating that the 2nd injection induced potentiation of thalamic firing relative to the baseline than the 1st. Potentiated tendency of nociceptive behavior during phaseI (P = 0.17) was also reflected in the overall thalamic activities. In sum, potentiation of behavioral nociception was reflected by potentiation of thalamic activity. Additional analysis of tonic and burst firing,showed that changes in tonic firing rate were the same as thechanges in the overall firing rate with significant potentiation induced by the 2nd injection in all phases except for phase I (Fig 3D, Tonic). Burst firing rate changes, however, were similarbetween both injections in all phases without any significant differences (Fig 3D, Burst bar graph). Changes in firing rate and relative ratio of tonic and burst spike firing during different phases of nociception are summarized in Table 1. The table confirms the response pattern and shows that majority of thalamic activities recorded during the awake state are tonic spikes.

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Fig 3. Paired comparison of thalamic neuronal activity changes during the 1st and 2nd formalin injection.

(A) Outline of experimental procedures and cluster cut sample of the same cells recorded during the 1st and 2nd formalin injection. (B) Comparison between baseline firing rates before 1st and 2nd formalin injection. (C) Overall thalamic neuronal firing rate changes induced by the 1st and 2nd formalin injection. (D) Tonic and burst firing rate changes of thalamic neurons induced by 1st and 2nd formalin injection. (B-D) All data points are mean±SEM of normalized value relative to respective baselines (see Methods).N = 19 pairs of the same neurons during 1st and 2nd injection, 5 mice. PI, interP, PII and PIII of bar graphs respectively indicate phase I (0–5 min), interphase (5–10 min), phase II (10–35 min), and phase III (35–60 min), based on changes in behavioral nociception. Two tailed t-test was used to compare each data points between 1st and 2nd injection. * indicates significant difference at P<0.05.

https://doi.org/10.1371/journal.pone.0129395.g003

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Table 1. Comparison of Thalamic Discharges to the 1st and 2nd Formalin Induced Nociception.

https://doi.org/10.1371/journal.pone.0129395.t001

Individual neuronal response types to repeated nociception

Analysis by averaging may mask individual thalamic response patterns, thus, individual neuronal responses before and after the two formalin injections were examined. Four types of representative neuronal responses are delineated in Fig 4. Type 1 includesneurons that had lower tonic and burst firing rate in the 2nd injection than the 1st (3 out of 19). Type 2 includes neurons that had lower tonic firing, but higher burst firing in the 2nd than the 1st (3 out of 19). Type 3 had higher tonic firing, but lower burst firing in the 2nd injection than the 1st (6 out of 19). Type 4 neurons had higher tonic and burst firing in the 2nd injection than the 1st (7 out of 19). Most cells belonged to type 3 or 4, signifying that most thalamic neurons increased tonic firing, but had mixed responses in burst firing rate changes duringre-exposure to nociception.

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Fig 4. Types of thalamic neuronal activity changes induced by 1st and 2nd formalin injection.

Example of four different types of neuronal activity changes of the same neuron for 1st and 2nd formalin injection is shown. Tonic firing activities are on the left and burst firing activities are on the right. All blue lines are data during the 1st formalin injection, while all red lines are data during 2nd formalin injection. Vertical grey lines indicate the point of formalin injection. Plots with blue backgrounds indicate cases where firing rate of 1stformalin injection was higher than that of the 2nd. Plots with pink backgrounds indicate the reverse. Sample shown for type 4 is also a neuron that had prominent theta oscillation after 2nd injection.

https://doi.org/10.1371/journal.pone.0129395.g004

Burst firing properties and repeated nociception

Thalamic burst properties were shown to change accordingly to different phases of formalin induced nociception [15] and altered under neuropathic pain [25]. Thus, differences in burst firing properties between two formalin injections have been investigated as delineated in Fig 5A. Joint probability density (JPD) has been computed between the first and second intervals of burst spikes within a burst, namely Intra-Burst-Interval (IntraBI), IntraBI1 and IntraBI2 (Fig 5B). JPD is the probability distribution between the length of IntraBI1 and IntraBI2, showing integrity of burst spikes within a burst. Before formalin injection and during phase III, whenbehavioral nociceptive response is low, JPDs of both the 1st and 2nd formalin injections were similar. However during phase II, when nociceptive responses are high, burst integrity during the 2nd injection was lower than the 1st and widely dispersed. This signifies that probabilistically corresponding lengths of the IntraBI1 and IntraBI2 became more variable after the 2nd injection compared to the 1st. However, there were no differences between the two injections in averages of burst parameters (Fig 5C). The mean number of burst spikes composing a burst was the same. The averages of interval-between-bursts and IntraBI between injections were also similar except at one segment (35–40 min), where the burst firing activity after the 2nd had a tendency to be slightly greater than the 1st. Most burst properties did not differ between the two injections, implicating that temporal integrity of consecutive IntraBIs may be more critical in gating pain signals.

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Fig 5. Thalamic burst firing property changes induced by the 2nd formalin injection.

(A) Parameters used in the burst firing property analysis. (B) Joint probability density analysis between 1st and 2ndIntraBI of bursts at different time segments. (C) Burst firing property changes induced by 1st and 2nd formalin injection. Vertical grey lines indicate the point of formalin injection. All data points are mean±SEM. N = 19 pairs of same neurons during 1st and 2nd injection, 5 mice. Two tailed t-test was used to compare each data points between 1st and 2nd injection. * indicates significant difference at P<0.05.

https://doi.org/10.1371/journal.pone.0129395.g005

Oscillation and repeated nociception

Multiple studies showed that chronic pain patients had increased power in the theta frequency band compared to controls. Whether the 2nd formalin injection induced any changes in cellular oscillation frequency had been analyzed with power spectrum analysis in all recorded cells. All neuronal recordings were done in the awake and behaving state, in which oscillations are unlikely in non-pathological conditions. Unlike the 1st formalin injection where no oscillation was observed in any cells (0 out of 48 cells), 2 cells out of 34 (6%) cell fired in rhythmic oscillation even in the awake stateafter the 2nd formalin injection. Both cells had maximum power at 8.5 Hz, which is within the theta frequency range (4–9 Hz), and had peak power spectral density (PSD) value of 0.50% and 0.72% (Fig 6A). Of the two cells showing oscillation, one was recorded during both injections (1 out of 19 pairs of cells, 5%). This cell had a power spectrum mostly in the very low frequency (<1 Hz) during the baselines before injections, and after the 1st formalin injection. However, the 2nd formalin injection induced prominent oscillation in this cell with maximum power at 8.5 Hz (PSD 0.72%). This cell had type 4 neuronal activity changes, which is the cell shown in Fig 4, with increased tonic and burst firing activities due to the 2nd formalin injection compared to the 1st. Since this cell may have different burst firing properties from those of the other cells, burst firing properties of this cell was analyzed using the same parameters described in Fig 5A. Indeed this cell had different burst firing properties between the two injections (Fig 6B). The average number of burst spikes composing a burst was consistently greater in the 2nd injection. The interval-between-bursts was shorter in the 2nd injection at most time segments after formalin, indicating increased burst firing frequency by the 2nd injection. The IntraBI, however, was longer during the interphase and early phase II (5–25 min) after the 2nd injection, which is when behavioral nociception of the 2nd injection was greater than the 1st.

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Fig 6. Analysis of a neuron that exhibit theta frequency oscillation after the 2nd formalin injections.

(A) Left top and bottom is a power spectral density before and after the 1st formalin injection, respectively. Right top and bottom is a power spectral density before and after the 2nd formalin injection, respectively. (B) Burst firing property analysis of the same neuron for 1st and 2nd formalin injections. Vertical grey lines indicate the point of formalin injection.

https://doi.org/10.1371/journal.pone.0129395.g006

Discussion

Results show that thalamic neurons increased firing to repeated nociceptive stimulation in accordance with potentiated behavioral nociceptive responses. In terms of tonic and burst firing, tonic firing was potentiated while there were no changes in burst firing activities by the 2nd injection, confirming the interactive role of tonic and burst firing in processing nociceptive information during the awake state [15].

Behaviorally, nociceptive response of the interphase and phase II was significantly elevated by the 2nd injection. This indicates that phase II of the formalin test, thought to occur by the development of inflammation, was affected more than phase I, suggested to occur mainly by direct activation of nociceptors [29]. Behavioral hypersensitivity to the 2nd injection is probably due to lasting hyperalgesia following the 1st injection because mechanical and thermal hyperalgesia is reported to last for more than 3 weeks [30]. Lasting hyperalgesia may have also reduced the efficiency of peripheral inhibition, since the interphase is suggested to occur by active peripheral inhibition [31]. Despite the significant potentiation induced by the 2nd injection, nociceptive responses rapidly reduces to the level of the 1st injection after the peak of phase II. Since greater degree of nociception reduction must occur in the 2nd injection to reach the nociception level of the 1st, adaptive changes may have occurred after the 1st injection to effectively reduce the potentiated nociceptive responses of the 2nd.

Although rapid reduction of potentiated behavioral responses after phase II insinuates the possible presence of adaption to repeated nociception, no adaptive changes were evident in the sensory thalamic responses. Rather, overall thalamic activity was potentiated by the 2nd injection. Thalamic sensitization was shown to occur by inflammatory mediators inducing allodynia [32] and inflammation-produced hyperalgesia was shown to be mediated by thalamic NMDA receptor activation [33]. Given the nature of formalin induced nociception, which is due to the development of inflammation during phase II, thalamic sensitization mediated by NMDA receptors may have occurred by the repeated injections. However, sensitizations of the periphery and the spinal cord might also be reflected in the potentiated thalamic response.

Differential analysis of tonic and burst firing showed that tonic firing also was significantly potentiated in accordance to the potentiated behavioral nociceptive responses. Tonic and overall firing patterns were similar because tonic firing was the predominant firing mode during the awake state, composing at least 87% of all spikes in the present study. Positive relationship between tonic firing and behavioral nociception in both injections demonstrate an agreement with the hypothesis that tonic firing serves as a faithful representation of the external world [18]. Since the sensory thalamus also receives tactile inputs [9], tactile information induced by licking of the inflicted paw may also be reflected in tonic firing changes. In contrast to tonic firing activity changes, no changes were observed in burst firing activities between injections. This reduction may be due to dichotomy of neuronal populations that either increased (10 out of 19 cells) or decreased burst firing (9 out of 19 cells) almost in equal sample size by the 2nd injection compared to the 1st, driving the average value towards no change. Unlike differential thalamic responses induced by repeated nociception, baseline tonic and burst firing activities before formalin injections did not differ, indicating that there were no lasting changes in spontaneous firing activity induced by the 1st injection.

Focusing on the changes in burst firing properties associated with neuropathic pain [25,26], possible alteration that may have occurred by repeated nociception was investigated and found no significant differences between injections. Decrease in the average interval-between-bursts and IntraBI after the 2nd injection at one time segment (35–40 min) may be caused by slight higher, despite the statistically insignificant, relative changes in burst firing rate of the 2nd injection compared to that of the 1st during that period. Increased burst firing frequency will shorten the interval-between-bursts and decrease the IntraBI. Normal level of burst activity can modulate potentiated nociception and another implication is that no neuropathic condition has yet developed by the 2nd formalin injection. However, the dispersed shape of the JPD analysis between IntraBI1 and IntraBI2 induced by the 2nd injection in phase II implies that integrity of consecutive burst spikes composing a burst may have been compromised by the 2nd injection in a way that is less effective in reducing nociception. This may have led to greater behavioral nociception during the phase II, since previous studies demonstrated that the length of IntraBI is significant in producing an anti-nociceptive effect [15,34].

Oscillation study showed that most cells did not have any oscillation during both injections. However, two thalamic neurons developed prominent oscillation in the theta frequency after the 2nd injection, even though the recording was done in the awake state. There were no single neuron that exhibited any oscillations to the 1st formalin injection (48 neurons, unpublished data), strongly suggesting that the 2nd injection induced oscillation in these neurons. Increase in theta frequency oscillation in the thalamus has been observed in many forms of pathological conditions including neuropathic pain [10,3538]. This power increase in theta frequency has been proposed to be due to increase in burst firing activity [37]. Consistently, the one neuron that was recorded in pairs and developed oscillation in our data had increased burst firing by the 2nd injection compared to the 1st, although not all neurons with increased burst firing activity showed oscillation. In addition, burst firing properties were found to be altered. The number of burst spikes composing a burst and the burst firing frequency increased, but integrity of burst spikes, shown by the IntraBI, decreased by the 2nd injection, during the interphase and phase II, which corresponds to the phase of increased behavioral nociception. As already mentioned, changes in burst firing properties have been associated with neuropathic pain [25] and loosened integrity of burst spikes composing a burst directly influenced the ability of burst firing to have an anti-nociceptive effect [34]. Increase in the number of cells responding in this pattern, even in the awake state, may eventually lead to the development of chronic pain. If so, repeated formalin injection may be used as a transitional model that links acute and chronic pain. However, case size was too small to definitely determine this in the current study and more injections may be necessary to develop into chronic pain.

Overall, our data show that sensory thalamic neurons increased responsiveness to repeated nociception and confirmed the interactive roles of tonic and burst firing in processing nociceptive information.

Author Contributions

Conceived and designed the experiments: JC YH. Performed the experiments: YH. Analyzed the data: JC YH. Contributed reagents/materials/analysis tools: JC YH. Wrote the paper: JC YH.

References

  1. 1. Nosaka K, Clarkson PM. Muscle damage following repeated bouts of high force eccentric exercise. Medicine and science in sports and exercise. 1995;27(9):1263–9. Epub 1995/09/01. pmid:8531624.
  2. 2. McHugh MP. Recent advances in the understanding of the repeated bout effect: the protective effect against muscle damage from a single bout of eccentric exercise. Scandinavian journal of medicine & science in sports. 2003;13(2):88–97. Epub 2003/03/19. pmid:12641640.
  3. 3. Sacco P, Jones DA. The protective effect of damaging eccentric exercise against repeated bouts of exercise in the mouse tibialis anterior muscle. Experimental physiology. 1992;77(5):757–60. Epub 1992/09/01. pmid:1418957.
  4. 4. Pizza FX, Davis BH, Henrickson SD, Mitchell JB, Pace JF, Bigelow N, et al. Adaptation to eccentric exercise: effect on CD64 and CD11b/CD18 expression. J Appl Physiol (1985). 1996;80(1):47–55. Epub 1996/01/01. pmid:8847330.
  5. 5. Dessem D, Lovering RM. Repeated muscle injury as a presumptive trigger for chronic masticatory muscle pain. Pain research and treatment. 2011;2011:647967. Epub 2011/11/24. pmid:22110928; PubMed Central PMCID: PMC3195998.
  6. 6. Dostrovsky JO, Guilbaud G. Nociceptive responses in medial thalamus of the normal and arthritic rat. Pain. 1990;40(1):93–104. Epub 1990/01/01. doi: 0304-3959(90)91056-O [pii]. pmid:2339022.
  7. 7. Apkarian AV, Sosa Y, Sonty S, Levy RM, Harden RN, Parrish TB, et al. Chronic back pain is associated with decreased prefrontal and thalamic gray matter density. J Neurosci. 2004;24(46):10410–5. Epub 2004/11/19. pmid:15548656.
  8. 8. Lenz FA. Evidence That Thalamus Is Involved in the Generation of Sensory Abnormalities Observed in Human Central Pain Syndromes. Adv Pain Res Ther. 1991;19:141–50. pmid:ISI:A1991GP96100009.
  9. 9. Jones EG. The thalamus. 2nd ed. Cambridge; New York: Cambridge University Press; 2007.
  10. 10. Walton KD, Llinas RR. Central Pain as a Thalamocortical Dysrhythmia: A Thalamic Efference Disconnection? In: Kruger L, Light AR, editors. Translational Pain Research: From Mouse to Man. Frontiers in Neuroscience. Boca Raton, FL2010.
  11. 11. Guilbaud G, Peschanski M, Gautron M, Binder D. Neurones responding to noxious stimulation in VB complex and caudal adjacent regions in the thalamus of the rat. Pain. 1980;8(3):303–18. Epub 1980/06/01. pmid:7402691.
  12. 12. Peschanski M, Guilbaud G, Gautron M, Besson JM. Encoding of noxious heat messages in neurons of the ventrobasal thalamic complex of the rat. Brain Res. 1980;197(2):401–13. Epub 1980/09/22. pmid:7407564.
  13. 13. Lee JI, Ohara S, Dougherty PM, Lenz FA. Pain and temperature encoding in the human thalamic somatic sensory nucleus (ventral caudal): Inhibition-related bursting evoked by somatic stimuli. J Neurophysiol. 2005;94(3):1676–87. pmid:ISI:000231259400005.
  14. 14. Lenz FA, Gracely RH, Romanoski AJ, Hope EJ, Rowaland LH, Dougherty PM. Stimulation in the Human Somatosensory Thalamus Can Reproduce Both the Affective and Sensory Dimensions of Previously Experienced Pain. Nature Medicine. 1995;1(9):910–3. pmid:ISI:A1995RT30300044.
  15. 15. Huh Y, Bhatt R, Jung D, Shin HS, Cho J. Interactive responses of a thalamic neuron to formalin induced lasting pain in behaving mice. PLoS One. 2012;7(1):e30699. Epub 2012/02/01. pmid:22292022; PubMed Central PMCID: PMC3264641.
  16. 16. Dostrovsky JO. Role of thalamus in pain. Prog Brain Res. 2000;129:245–57. Epub 2000/12/01. doi: S0079-6123(00)29018-3 [pii] pmid:11098694.
  17. 17. Hirayama T, Dostrovsky JO, Gorecki J, Tasker RR, Lenz FA. Recordings of abnormal activity in patients with deafferentation and central pain. Stereotact Funct Neurosurg. 1989;52(2–4):120–6. Epub 1989/01/01. pmid:2657934.
  18. 18. Sherman SM. Tonic and burst firing: dual modes of thalamocortical relay. Trends Neurosci. 2001;24(2):122–6. Epub 2001/02/13. doi: S0166-2236(00)01714-8 [pii]. pmid:11164943.
  19. 19. McCormick DA, Feeser HR. Functional implications of burst firing and single spike activity in lateral geniculate relay neurons. Neuroscience. 1990;39(1):103–13. Epub 1990/01/01. doi: 0306-4522(90)90225-S [pii]. pmid:2089273.
  20. 20. Livingstone MS, Hubel DH. Effects of sleep and arousal on the processing of visual information in the cat. Nature. 1981;291(5816):554–61. Epub 1981/06/18. pmid:6165893.
  21. 21. Steriade M, McCormick DA, Sejnowski TJ. Thalamocortical oscillations in the sleeping and aroused brain. Science. 1993;262(5134):679–85. Epub 1993/10/29. pmid:8235588.
  22. 22. Maffei L, Moruzzi G, Rizzolatti G. Geniculate Unit Responses to Sine-Wave Photic Stimulation during Wakefulness and Sleep. Science. 1965;149:563–4. Epub 1965/07/30. pmid:14330529.
  23. 23. Lenz FA, Kwan HC, Dostrovsky JO, Tasker RR. Characteristics of the bursting pattern of action potentials that occurs in the thalamus of patients with central pain. Brain Res. 1989;496(1–2):357–60. Epub 1989/09/04. doi: 0006-8993(89)91088-3 [pii]. pmid:2804648.
  24. 24. Radhakrishnan V, Tsoukatos J, Davis KD, Tasker RR, Lozano AM, Dostrovsky JO. A comparison of the burst activity of lateral thalamic neurons in chronic pain and non-pain patients. Pain. 1999;80(3):567–75. Epub 1999/05/26. doi: S0304395998002486 [pii]. pmid:10342418.
  25. 25. Hains BC, Saab CY, Waxman SG. Alterations in burst firing of thalamic VPL neurons and reversal by Na(v)1.3 antisense after spinal cord injury. J Neurophysiol. 2006;95(6):3343–52. pmid:ISI:000237653900006.
  26. 26. Gerke MB, Duggan AW, Xu L, Siddall PJ. Thalamic neuronal activity in rats with mechanical allodynia following contusive spinal cord injury. Neuroscience. 2003;117(3):715–22. Epub 2003/03/06. S0306452202009612 [pii]. pmid:12617975.
  27. 27. Dubuisson D, Dennis SG. The formalin test: a quantitative study of the analgesic effects of morphine, meperidine, and brain stem stimulation in rats and cats. Pain. 1977;4(2):161–74. Epub 1977/12/01. pmid:564014.
  28. 28. Lu SM, Guido W, Sherman SM. Effects of membrane voltage on receptive field properties of lateral geniculate neurons in the cat: contributions of the low-threshold Ca2+ conductance. J Neurophysiol. 1992;68(6):2185–98. Epub 1992/12/01. pmid:1337104.
  29. 29. Le Bars D, Gozariu M, Cadden SW. Animal models of nociception. Pharmacol Rev. 2001;53(4):597–652. Epub 2001/12/06. pmid:11734620.
  30. 30. Li K, Lin T, Cao Y, Light AR, Fu KY. Peripheral formalin injury induces 2 stages of microglial activation in the spinal cord. The journal of pain: official journal of the American Pain Society. 2010;11(11):1056–65. Epub 2010/05/22. pmid:20488758.
  31. 31. Henry JL, Yashpal K, Pitcher GM, Coderre TJ. Physiological evidence that the 'interphase' in the formalin test is due to active inhibition. Pain. 1999;82(1):57–63. Epub 1999/07/28. doi: S0304395999000330 [pii]. pmid:10422660.
  32. 32. Burstein R, Jakubowski M, Garcia-Nicas E, Kainz V, Bajwa Z, Hargreaves R, et al. Thalamic sensitization transforms localized pain into widespread allodynia. Ann Neurol. 2010;68(1):81–91. Epub 2010/06/29. pmid:20582997; PubMed Central PMCID: PMC2930514.
  33. 33. Kolhekar R, Murphy S, Gebhart GF. Thalamic NMDA receptors modulate inflammation-produced hyperalgesia in the rat. Pain. 1997;71(1):31–40. Epub 1997/05/01. pmid:9200171.
  34. 34. Huh Y, Cho J. Discrete pattern of burst stimulation in the ventrobasal thalamus for anti-nociception. PLoS One. 2013;8(6):e67655. Epub 2013/08/21. pmid:23950787; PubMed Central PMCID: PMC3732121.
  35. 35. Schulman JJ, Cancro R, Lowe S, Lu F, Walton KD, Llinas RR. Imaging of thalamocortical dysrhythmia in neuropsychiatry. Frontiers in human neuroscience. 2011;5:69. Epub 2011/08/25. pmid:21863138; PubMed Central PMCID: PMC3149146.
  36. 36. Jones EG. Thalamocortical dysrhythmia and chronic pain. Pain. 2010;150(1):4–5. Epub 2010/04/17. pmid:20395046.
  37. 37. Llinas RR, Ribary U, Jeanmonod D, Kronberg E, Mitra PP. Thalamocortical dysrhythmia: A neurological and neuropsychiatric syndrome characterized by magnetoencephalography. Proc Natl Acad Sci U S A. 1999;96(26):15222–7. Epub 1999/12/28. pmid:10611366; PubMed Central PMCID: PMC24801.
  38. 38. Fuggetta G, Noh NA. A neurophysiological insight into the potential link between transcranial magnetic stimulation, thalamocortical dysrhythmia and neuropsychiatric disorders. Exp Neurol. 2013;245:87–95. Epub 2012/10/16. pmid:23063603.