Hostname: page-component-76fb5796d-vfjqv Total loading time: 0 Render date: 2024-04-29T00:45:56.129Z Has data issue: false hasContentIssue false

Evaluation of a commercial electrical stunning method for farmed grower saltwater crocodiles (Crocodylus porosus) using non-invasive EEG measurements

Published online by Cambridge University Press:  19 July 2023

Alison Small*
Affiliation:
CSIRO Agriculture & Food, Chiswick, New England Highway, Armidale NSW 2358 Australia
Dominic Niemeyer
Affiliation:
CSIRO Agriculture & Food, Chiswick, New England Highway, Armidale NSW 2358 Australia
Leisha Hewitt
Affiliation:
Dr Leisha Hewitt Livestock Welfare, Franklin, Tasmania 7113 Australia
*
Corresponding author: Alison Small; Email: Alison.small@csiro.au
Rights & Permissions [Opens in a new window]

Abstract

The aim of this study was to assess welfare outcomes of electrical stunning as a means of restraint in farmed grower saltwater crocodiles (Crocodylus porosus). Physical handling of a stunned, unconscious crocodile is far safer for the operator than handling a fully conscious animal. Electroencephalogram (EEG) was recorded before and after the application of electrical stunning at 50 Hz or 400 Hz using an electrical stunner applied to the cranial plate (Position 1: P1–50 Hz; n = 31, P1–400 Hz; n = 29) or immediately behind the skull (Position 2: P2–50 Hz; n = 29; P2–400 Hz; n = 30). For all electrical stuns, percentage total EEG power in a 10-s epoch decreased in the alpha and beta frequency bands; and increased in the delta and lower frequencies bands. All electrical stuns resulted in increased strength of signal, based on the quadratic mean EEG power in all frequency bands of the EEG. Greatest change in power occurred in the delta frequency band, with P1–50 Hz. This was greater than with P2–50 Hz; while decibel change using 400 Hz at either position was intermediate and not significantly different from either. Application of either electrical stunner at position 1 resulted in seizure-like activity and activation in low frequencies, but at position 2 this was not consistent across all animals. The ability of the electrical stunning equipment to consistently induce recoverable unconsciousness could be ranked in decreasing order as: P1–50 Hz > P1–400 Hz = P2–50 Hz > P2–400 Hz. Based on behavioural observations, all animals in the study appeared to stunned however evaluation of duration of EEG changes indicates that use of the electrical stunning equipment at 50 Hz would allow some margin for inaccuracies in tong placement, while achieving a consistently reliable stun.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© Dr Leisha Hewitt Animal Welfare Pty Ltd and Commonwealth Scientific and Industrial Research Organisation, 2023. Published by Cambridge University Press on behalf of The Universities Federation for Animal Welfare

Introduction

Farmed crocodiles are handled periodically (often once a month) during the finishing phase for essential husbandry procedures (e.g. relocating animals, skin quality assessment and prior to slaughter). In the past, this often involved manually capturing an individual animal with a rope noose and physically restraining it (usually with the jaws taped) to protect the safety of the operator. Saltwater crocodiles (Crocodylus porosus) are more aggressive than other farmed species of crocodilians, so manual capture of an animal that may be up to 2 m in length and weigh 25 kg presents a significant risk to operator safety. Furthermore, during manual capture, crocodilians struggle vigorously; sometimes to exhaustion, which represents a risk to welfare. To reduce the duration of handling and protect operator safety, the crocodile farming industry introduced electrical stunning as a means of capture and restraint for larger animals that cannot be manually handled without causing undue stress (Franklin et al. Reference Franklin, Davis, Peucker, Stephenson, Mayer, Whittier, Lever and Grigg2003; Manolis & Webb Reference Manolis and Webb2016). However, there has been very little scientific research into the effect of electrical stunning on crocodile welfare, and much of the cited information is based on anecdotal evidence. Furthermore, there is no published data validating the methodology as a stunning method (which induces loss of consciousness), in contrast to an immobilisation method (which results in an immobilised, but fully conscious animal). The latter could be considered a welfare risk, as electro-immobilisation has been shown to be aversive to mammals (Grandin et al. Reference Grandin, Curtis, Widowski and Thurmon1986; Rushen Reference Rushen1986a,Reference Rushenb; Rushen & Congdon Reference Rushen and Congdon1986a,Reference Rushen and Congdonb; Grandin Reference Grandin1988). Previous studies evaluating the physiological stress responses of farmed crocodiles, restrained using electrical methods compared to manual capture by noosing and roping, concluded that the stress response and time to recovery for animals exposed to electrical methods was significantly less than those subjected to manual capture (Franklin et al. Reference Franklin, Davis, Peucker, Stephenson, Mayer, Whittier, Lever and Grigg2003; Pfitzer et al. Reference Pfitzer, Ganswindt, Fosgate, Botha and Myburgh2014). The use of electrical methods also improves operator safety and appears to result in fewer injuries to the crocodile. There is, however, insufficient evidence to confirm whether this method of restraint induces immediate loss of consciousness without causing pain and distress: the behavioural and electroencephalographic responses of crocodiles to electrical stunning are yet to be evaluated.

Electroencephalography (EEG) measures electrical activity in neural bundles in the brain, and can be used to assess consciousness or unconsciousness in the context of stunning (Devine et al. Reference Devine, Gilbert, Graafhuis, Tavener, Reed and Leigh1986a,Reference Devine, Tavener, Gilbert and Dayb; Murrell & Johnson Reference Murrell and Johnson2006). Briefly, in this context, the EEG signal is divided into frequency bands: alpha (8–12 Hz), beta (≥ 12 Hz), theta (4–8 Hz) and delta (< 4 Hz) for analysis (Cohen Reference Cohen2014). Little is known about the situation in reptiles, but in mammals, the conscious state is associated with a low amplitude signal, predominantly in the higher frequency bands (Seth et al. Reference Seth, Baars and Edelman2005), while the unconscious state is associated with lower frequency signal with increased amplitude due to synchronous firing of neurones (Boly et al. Reference Boly, Seth, Wilke, Ingmundson, Baars, Laureys, Edelman and Tsuchiya2013). As unconsciousness deepens, an iso-electric state develops in which brain activity is no longer recorded (Verhoeven et al. Reference Verhoeven, Gerritzen, Hellebrekers and Kemp2015).

The aim of this study was to develop a non-invasive EEG recording technique for crocodiles that could be used on a commercial crocodile farm, without the need to anaesthetise and surgically implant electrodes. This would be based upon equipment that has been successfully deployed in other species, but in this case used to assess the welfare outcomes of stunning juvenile saltwater crocodiles. Two electrical stunning units were evaluated: a 400-Hz stunner that has been in use in the crocodile farming industry for a number of years, and a 50-Hz stunner that has been designed more recently. The reason for designing the 50-Hz stunner was that the component parts for the 400-Hz stunner are becoming obsolete and unavailable, while a 50-Hz stunner could be more readily constructed by a local electrician. The outcomes of this study could be used to inform industry standards and best practice guidelines for the use of electrical stunning as a restraint method in crocodile farming enterprises.

Materials and methods

Ethical review

This study was carried out under the authority of the CSIRO Wildlife and Large Animals Animal Ethics Committee, ref 2017-05, in accordance with the Australian Code for the Care and Use of Animals for Scientific purposes (National Health and Medical Research Council 2013).

Study location and format

The study was carried out in two separate phases at a commercial crocodile farm in the Australian Northern Territory; the first, involving 40 crocodiles, took place over two days in May 2017 (five crocodiles from each treatment group processed on each day); and the second, involving 80 crocodiles, was carried out over a four-day period in October 2017 (five crocodiles from each treatment group processed on each day). The phase 2 animals originated from a different growing group than those in phase 1. The purpose of splitting the study into two phases was to confirm that the EEG recording apparatus developed would provide data collection suitable for further analysis prior to continuing with the remainder of the study (Table 1). Had the data from phase 1 not been suitable, the study would have been terminated as a Reduction measure under the 3 Rs of animal research ethics (Russell & Burch Reference Russell and Burch1959).

Table 1. Study phases

Animals and animal care

One hundred and twenty unsexed, farmed, grower saltwater crocodiles of approximately 1 m in length and 2.5 years of age were utilised in the study. The animals were not weighed as part of this study. This is the target class of crocodile for the electrical stunning procedures assessed, being the age and size most commonly entering the finishing phase of crocodile farming. Prior to the experiment, animals were housed communally in a holding shed adjacent to the study area and cared for under normal commercial conditions by farm staff. The facility follows the International Crocodile Farmers Association (ICFA) Good Operating Practice manual (https://internationalcrocodilian.com/about/). Animals are fed a meat-based ration with vitamin and mineral supplementation provided ad libitum three times weekly. The communal housing pen provides a large body of water and dry landing area for basking, enabling each animal to be provided with 2 m2.

Study-specific apparatus

Equipment to enable non-invasive EEG recording technique in crocodiles was developed. It was in the form of a wand that could be applied manually to individual animals before and after the application of a stunning treatment (Figure 1). The EEG wand allows low impedance (< 5 kΩ) electrode pads (RedDotMini, ref 2239, 3M Australia, North Ryde NSW, Australia: https://multimedia.3m.com/mws/media/1415893O/3m-red-dot-electrodes-ecg-electrodes-product-comparison-chart.pdf) to be applied firmly to contact points on the skin overlying the skull, allowing electrical activity within the brain to be recorded. High density soft rubber material was shaped so that when positioned vertically on top of the head all four EEG monitoring electrodes (which were glued onto the applicator surface) made good contact with the head. A PVC handle was machined to size and a perspex interface created so that handle and rubber could be adhered together to form a robust unit. The EEG leads were then buried within the rubber and directed up the handle. After successful field testing on live crocodiles in May 2017 minor alterations were carried out which made the applicator easier to position on the head as well as remain in position for the 60-s duration of the EEG trace. The end result, the MKII, was a more compact, better fitting, safer and ergonomic unit that measured 115 × 65 × 210 mm (length × width × height). Electrodes were moistened with electrode gel (Ten20®, ADInstruments, Sydney, NSW, Australia: https://www.adinstruments.com/) prior to application. The wand provides a four-electrode montage with the ground electrode sagittally placed on the frontal bones level with the proximal curve of the orbits; the reference electrode on the proximal border of the parietal bone, and the inverting electrodes on the distal wings of the parietal bone, level with the temporal fenestrae (Figure 2). Thus, the montage follows the pattern used in many mammalian studies, with the inverting electrodes on either side of the brain (Gibson et al. Reference Gibson, Johnson, Murrell, Mitchinson, Stafford and Mellor2009; Zulkifli et al. Reference Zulkifli, Goh, Norbaiyah, Sazili, Lotfi, Soleimani and Small2014; Small et al. Reference Small, Lea, Niemeyer, Hughes, McLean and Ralph2019) and the montage used by Nevarez et al. (Reference Nevarez, Strain, da Cunha and Beaufrere2014) when studying killing of alligators.

Figure 1. The non-invasive EEG wand applied to the head of a conscious crocodile.

Figure 2. Diagram of EEG electrode montage placement on a crocodile skull.

The 400-Hz electrical stunning equipment used in the study is typically in use on commercial farms (Manolis & Webb Reference Manolis and Webb2016), while the 50-Hz stunner was constructed to specification by a local electronic instrumentation specialist. Both instruments deliver an electrical stunning current (0.2–1.0 A, AC) that produces an immediate behavioural reaction in crocodilians (a tonic phase, with the legs first extended backwards along the body and tail, then the legs slowly extend to the sides, tremoring, with the tail beginning a slow sinuous movement), thought to be indicative of an effective stun (World Organisation for Animal Health [OIE] 2022). The 50-Hz stunner was designed due to component parts for the 400-Hz stunner becoming obsolete and unavailable, while a 50-Hz stunner could be readily constructed by a local electrician.

Experimental procedures

On the day of the trial, animals were manually captured within the holding shed and presented to the adjacent study area. Manual capture would not normally be used on-farm but was required for the purpose of the study in order to record a pre-stunning baseline EEG. Selection of animals was based on ease of manual capture with minimal disturbance to other animals in the holding shed. A single operator grasped the crocodile by the back of the neck at the base of the skull, supporting the body with the other arm (OIE 2022) before carrying the animal out of the holding pen to be placed on the table. Each animal was manually restrained on the table, one handler holding the crocodile across the back of the neck, whilst a second restricted movement of the body and tail, to allow a pre-stun EEG to be recorded for 30–60 s, using Powerlab and LabChart software (ADInstruments, Australia). After the EEG wand was removed, the crocodile was placed into a shallow pool of water that was located immediately adjacent to the table, and the electrical stunning equipment applied. The pool contained water at a depth of 15–20 cm, in accordance with the normal commercial electrical stunning procedure, such that the animal was wet but not submerged. The application position for the stunning equipment was classified as shown in Figure 3, with electrode position 1 (P1) applied onto the cranial plate directly above the brain (pallium and cerebellum) and position 2 (P2) applied above the brain-stem and ventral regions of the spinal cord, distal to the pallium and cerebellum. Each animal was stunned using one of four treatments: (1) head-only electrical stunning at 50 Hz applied to the cranial plate (comprising the rostral parts of the parietal bones and caudal parts of the frontal bones) over the brain (P1–50 Hz; n = 31); (2) head-only electrical stunning at 50 Hz applied to the dorsal surface of the neck immediately behind the skull (P2–50 Hz; n = 29); (3) head-only electrical stunning at 400 Hz applied to the cranial plate over the brain (P1–400 Hz; n = 29); and (4) head-only electrical stunning at 400 Hz to the dorsal surface of the neck immediately behind the skull (P2–400 Hz; n = 30).

Figure 3. Position of application of electric stun. Position 1 directly above the brain (pallium and cerebellum); position 2 above the brain-stem and ventral regions of the spinal cord, distal to the pallium and cerebellum, in the region bounded by the ‘2’ markers shown.

All stun treatments were applied by an experienced and competent operator, taking particular care to achieve the desired placement site assigned to each animal by the researcher. The stunner was applied for approximately 3 s, until the visible tonic response was observed. Multiple attempts were not permitted, and no animal did not enter the tonic state. If tonicity had not been observed in any animal, it would have been recorded as a ‘failed stun.’ Following application of the stun, the crocodile was lifted back onto the table and the EEG wand reapplied to each crocodile to record post-stun EEG activity for a further 60 s. The latency between stun and reapplication of the EEG wand ranged from 1 to 3 s.

The entire process was video recorded (Handycam HDR-XR260E, Sony, Japan) to assist analysis of the EEG data. The researcher also assessed each animal for behavioural signs of brain dysfunction, including behavioural response, absence of spontaneous blinking, loss of palpebral and corneal reflex and loss of nictitating membrane (3rd eyelid) reflex (OIE 2022). The behavioural response of crocodiles to electrical stunning is a tonic phase, with the legs first extended backwards along the body and tail, then the legs slowly extend to the sides, tremoring (similar to the response seen in poultry). As the legs extend slowly to the side, the tail begins a slow sinuous movement. Active convulsing and thrashing are not a feature of electrical stunning in crocodiles. Reflexes were tested using a soft rubber spatula to touch the corner of the eye twice prior to stunning (before and after EEG recording, and then after stunning immediately the animal was returned to the table and at 10-s intervals thereafter until post-stun EEG recording was complete). After EEG recording, electrically stunned crocodiles were placed into recovery chambers (dry tubular cells in which animals could be monitored for recovery prior to being returned to the water body of the home pen) according to normal commercial practice. All procedures were carried out on a single animal and that animal placed in the recovery chamber prior to the subsequent animal being brought to the processing area. Duration of recovery was not recorded as part of this study.

EEG recording and data preparation

The EEG was recorded using PowerLab and LabChart (ADInstruments, North Ryde, NSW, Australia), applying a low-pass filter of 50 Hz for a period of up to 1 min prior to and post-application of the stun treatment on each crocodile. The EEG data were analysed offline using LabChart 8 (ADInstruments, Sydney, NSW, Australia). Artefacts were identified and rejected manually, with reference to video footage to identify event-related artefact (e.g. animal movements, personnel movement or movement of leads), and the first and last two seconds of each recording were removed to eliminate edge artefacts.

Further analysis of EEG data was performed by a separate individual who had not been present during recording and was blinded to treatment. For comparison of EEG pre- and post-treatment, a band-pass filter of 0 to 30 Hz was applied to the raw data, and the Spectral Analysis Package within LabChart 8 was used to apply Fast Fourier Transformation (FFT) of 1K size, with multiplication using a Hann window in 1-s epochs with a 25% overlap. Band-pass filters were applied in order to extract power spectra in each of the delta (0.1–4 Hz); theta (4–8 Hz); alpha (8–12 Hz); and beta (12–30 Hz) frequency bands. Within each EEG dataset, ten serial epochs with minimal interference in each of pre-stun (T0, baseline), post-stun up to 25 s after stun application (T1) and post-stun from 26 to 50 s after stun application (T2) were extracted for statistical analysis. Root Mean Square (RMS; the quadratic mean: a measure of signal strength, or amplitude) values for power in each frequency band were calculated within LabChart for pre-stun (T0, baseline); post-stun up to 25 s after stun application (T1) and post-stun from 26 to 50 s after stun application (T2). T1 data were selected to represent the EEG shortly after stunning, as soon as movement artefact relating to handling of the stunned animal had subsided, while T2 data represented a later stage when visible tonic tremors had subsided. Percentage power in each frequency band was calculated for T0 and T1.

Due to the need to remove the EEG recording tool to apply the stun, transfer the stunned crocodile from the water-bath back to the EEG recording bench and then replace the recording tool, there was a short delay between stun and EEG capture. Removal of artefact associated with tool and lead movement immediately following re-application of the tool further extended the delay between stun and usable EEG recording. Thus, using the video footage to calculate time intervals, usable EEG recordings began between 7 and 20 s post-stun application (7 s being the earliest time at which a usable signal was identified).

Statistical analysis

Comparisons between RMS in each frequency band (assessing strength of signal or amplitude) were first analysed in R statistical software (R Core Team 2021) using a repeated measures (pseudo-replication structure, to account for non-independent samples) glm procedure with log-link function (Final model: glm[formula = EEGrms ~ TX + as.factor(time), family = quasi(link = log)]). Individual animal was fitted as a random factor, with fixed effects of stun method (treatment, four levels), time-period (three levels) and first order interactions, where significant. Post hoc contrasts were analysed using the Kolmogorov-Smirnov comparison of distributions.

The hypotheses tested were that:

  • Electrical stunning would result in alterations in RMS in each frequency band between T0 and T1; and

  • There would be differences in duration of RMS change between treatments based on differences in RMS between T1 and T2.

In order to compare treatments in terms of total power, power data were first corrected for baseline. The median value of power in the overall EEG and in each frequency band in the cleaned pre-stun recording for each animal was calculated and this was used as the baseline value. Baseline normalisation was then carried out by transforming data for each 1-s epoch into decibel change (dBchange) from baseline according to the formula: dBchange = 100 × log10(value/baseline), to bring all data sets into a comparable format (Cohen Reference Cohen2014). Data were charted and post-stun data inspected for EEG suppression and visible dB changes in total power, a count of number of animals receiving each stun method that showed sustained (> 25 s post stun) changes in dB as made. These counts were compared using a χ2 test. Where possible, time to nadir (the time of greatest change in the EEG) and time to resolution of EEG suppression was recorded. Within time-period (T1 and T2), differences in dBchange were analysed using the Kolmogorov-Smirnov comparison of distributions, as data could not be transformed to satisfy a normal distribution.

The hypotheses tested were that:

  • Electrical stunning would result in alterations in total power in each frequency band between T0 and T1; and

  • There would be differences in dBchange between treatments at T1 and T2.

Results

All animals were deemed unconscious after stunning, based on absence of palpebral and corneal reflexes (taken on the table within 3 s of stun application) and the presence of a tonic behavioural response, identified in the pool post-stun application, prior to lifting onto the table. Clonic (trembling and slow sinuous movements of the tail) activity was observed in all animals following the tonic phase. Despite the delay between stun application and usable EEG data capture, it was possible to estimate EEG nadir as occurring between 10- and 22-s post-stun application. Examples of raw EEG traces are shown in Figure 4. The percentage power represented in each frequency band of the EEG prior to, and post stun is shown in Table 2. For all four electrical stunning treatments, the percentage of total power in the alpha band decreased, and the same with beta (but to a lesser extent); and the percentage of power in the very low frequencies (frequency less than 0.1 Hz) increased, and the same with delta band (but to a lesser extent). Large standard deviations around the means prevented statistically significant differences pre- and post-stun being found when data were aggregated.

Figure 4. Examples of raw EEG traces. (A) Pre-stun trace, animal assigned to P2–50 Hz treatment, (B) post-stun trace from the same animal, (C) pre-stun trace, animal assigned to P1–50 Hz treatment, (D) post-stun trace from the same animal, (E) pre-stun trace, animal assigned to P1–400 Hz treatment, (F) post-stun trace from the same animal, (G) pre-stun trace, animal assigned to P2–400 Hz treatment, (H) post-stun trace from the same animal.

Table 2. Mean (± SD) percentage power in each frequency band by treatment and time-period

There was a significant effect of time-point (P < 0.001) on RMS in all frequency bands and a significant effect of stun treatment (P < 0.05) in the alpha (P = 0.0198), theta (P = 0.0137) and delta (P = 0.0396) frequency bands. Mean and standard deviation RMS power for each treatment and each frequency band are shown in Table 3, with the post hoc contrasts indicated. All electrical stun treatments resulted in a significant (P < 0.001) increase in RMS in all frequency bands during T1 post stun. With the P1–50 Hz, RMS in the beta, theta and delta frequency bands remained significantly (P < 0.05) greater than baseline during T2. Using P1–400 Hz, RMS in the beta and delta bands remained significantly (P < 0.05) greater than baseline at T2, RMS in alpha and theta returning towards, and not significantly different from, baseline. Using P2–50 Hz, RMS in the beta, theta and delta frequency bands remained significantly (P < 0.05) greater than baseline during T2, while alpha RMS had returned to baseline. Using P2–400 Hz, RMS in the beta frequency band remained significantly (P = 0.008) greater than baseline, while alpha, theta and delta RMS had dropped and were not significantly different from baseline.

Table 3. Mean (± SD) RMS in each frequency band by treatment and time-period

A, B, C: means across rows with different uppercase superscript differ significantly (P < 0.05, Kolmogorov-Smirnov post hoc analysis). x, y, z: within frequency bands, means within a column with different lowercase differ significantly (w, x: P < 0.05; y, z: P < 0.005, Kolmogorov-Smirnov post hoc analysis).

Table 4. Mean (± SD) dB Change from baseline (T0) at T1 and T2, by treatment and frequency band

A, B, C: within frequency bands, means within columns with different superscript differ significantly (P < 0.05, Kolmogorov-Smirnov post hoc analysis).

Examples of decibel change in power charts for each treatment are shown in Figures 58. Visually it appeared that the 50-Hz stunner resulted in the greatest changes in the low frequency bands, theta and delta, and these changes were more often sustained in the charts related to position 1 application (Figure 5) than in charts related to position 2. Application P2–50 Hz appeared to induce changes in the beta frequency band (Figure 6), and this was also a feature in many traces associated with the 400-Hz stunner (Figure 8). Movement artefact was also more commonly encountered when the 400-Hz stunner was used, particularly at position 2. Although the proportion of ‘good’ stuns (i.e. changes in decibel sustained for longer than 25 s) was greatest in P1–50 Hz (94%); and lowest in P2–400 Hz (73%), with P1–400 Hz and P2–50 Hz (both 90%) intermediate, these differences were not statistically significant by χ2 test (P > 0.05).

Figure 5. Example of P1–50 Hz EEG trace, showing decibel change from baseline power in each frequency band.

Figure 6. Example of P2–50 Hz EEG trace, showing decibel change from baseline power in each frequency band.

Figure 7. Example of P1–400 Hz EEG trace, showing decibel change from baseline power in each frequency band.

Figure 8. Example of P2–400 Hz EEG trace, showing decibel change from baseline power in each frequency band.

Mean and standard deviations for each treatment and each frequency band are shown in Table 4. The greatest decibel change in power was observed in T1 in the delta frequency band, associated with P1–50 Hz. This change was significantly (P = 0.0236; D = 0.369) greater than that seen using P2–50 Hz; while use of the 400-Hz stunner at either position led to an intermediate decibel change that was not significantly different from either P1–50 Hz or P2–50 Hz. Decibel change in power in the theta band in T1 was greatest using P2–400 Hz, and least using the P2–50 Hz (P = 0.0115; D = 0.399). However, P1–50 Hz and P1–400 Hz were intermediate and not significantly different from either P2–400 Hz or P2–50 Hz. Similarly, decibel change in power in the beta band was greatest in T1 using P2–400 Hz, and least using P1–50 Hz (P = 0.0131; D = 0.414). However, P2–50 Hz and P1–400 Hz were intermediate and not significantly different from either P2–400 Hz or P1–50Hz. In the alpha band, P1–400 Hz or P2–400 Hz resulted in the greatest decibel change in power, and P2–50 Hz resulted in the lowest (P = 0.0344; D = 0.353), with P1–50 Hz intermediate and not significantly different from the other electrical stun treatments.

With electrical stunning, decibel change from baseline in each frequency band was much greater in T1 (first 25 s post-stun application) than in T2 (26–50 s post-stun application). Decibel change in alpha power in T2 was still significantly (P = 0.01314; D = 0.414) greater in P1–50 Hz than P2–400 Hz, with P2–50 Hz and P1–400 Hz intermediate between, but not significantly different from, those methods. Similarly, at T2, decibel change in theta power was significantly greater in P1–50 Hz than in P2–50 Hz (P = 0.0463; D = 0.339), with P2–400 Hz and P1–400 Hz intermediate between, but not significantly different from, those methods. P2–400 Hz showed the greatest decibel change in beta power at T2, significantly greater than that of P1–50 Hz (P = 0.0299; D = 0.379) and P2–50 Hz (P = 0.0236; D = 0.369), with P1–400 Hz intermediate and not significantly different from the other electrical stunning methods. There were no significant treatment differences in the delta frequency band, in T2.

Discussion

Equipment that delivers an electrical current, through manually applied electrodes, has been widely adopted as a capture and restraint method in the crocodile industry, as an alternative to manual capture and restraint for grower crocodilians. Electrical stunning can be applied to the animal in its grower pen, without first having to manually capture and restrain the animal, therefore reducing stress to the animal and increasing operator safety (Manolis & Webb Reference Manolis and Webb2016). Although the application of an electrical stun as a restraint method has been shown to be less physiologically stressful than manual capture in both saltwater and Nile crocodiles (Crocodylus niloticus) (Franklin et al. Reference Franklin, Davis, Peucker, Stephenson, Mayer, Whittier, Lever and Grigg2003; Pfitzer et al. Reference Pfitzer, Ganswindt, Fosgate, Botha and Myburgh2014), it is unclear whether the equipment renders the crocodile unconscious (electrical stunning), or only produces immobilisation while the animal remains conscious and able to feel pain. In the current study, two hand-held electrical stunning units (50 and 400 Hz) were compared for their ability to induce unconsciousness based on EEG changes when applied at a position directly spanning the brain (P1) or on the neck immediately behind the skull (position 2). The 50-Hz stunner applied at P1 was superior, resulting in 94% of stuns showing significant within-animal changes in RMS and total power sustained beyond 25 s, and the 400-Hz stunner applied at position 2 was least reliable, resulting in 73% of stuns showing sustained (> 25 s) changes in dB power. For both stunners, position P1 was superior to position P2.

The purpose of electrical stunning is to induce epileptiform activity in the brain that will render an animal unconscious. Effective electrical stunning will result in the generation of a tonic/clonic epileptiform seizure in the brain of the animal (Cook Reference Cook1993; Cook et al. Reference Cook, Devine, Gilbert, Smith and Maasland1995), which is characterised by the presence of high amplitude, low frequency (HALF) activity followed by EEG suppression. European Council Regulation (EC) No 1099/2009 on the protection of animals at the time of killing (EC 2009) defines “stunning” in Article 2 (f) as “any intentionally induced process which causes loss of consciousness and sensibility without pain including any process resulting in instantaneous death.” The European Food Safety Authority [EFSA] Scientific Report of the Scientific Panel for Animal Health and Welfare on Welfare Aspects of Animal Stunning and Killing Methods, concluded that stunning and killing methods should ideally induce an immediate and unequivocal loss of consciousness and sensibility (EFSA 2004). Electrical stunning is therefore an effective and humane process for all livestock species provided that those parameters are satisfied. For example, research on poultry (Raj Reference Raj2006) demonstrated that when insufficient current was applied, birds were electrically immobilised and not stunned. Electro-immobilisation has been demonstrated to be aversive, and even painful in a number of species (Lambooy Reference Lambooy1985; Pascoe & McDonell Reference Pascoe and McDonell1985; Grandin et al. Reference Grandin, Curtis, Widowski and Thurmon1986; Jephcott et al. Reference Jephcott, McMillen, Rushen, Hargreaves and Thorburn1986, Reference Jephcott, McMillen, Rushen and Thorburn1987, Reference Jephcott, McMillen, Congdon and Thorburn1988; Pascoe Reference Pascoe1986; Pascoe & McDonell Reference Pascoe and McDonell1986; Rushen Reference Rushen1986a,Reference Rushenb, Reference Rushen1987; Rushen & Congdon Reference Rushen and Congdon1986a,Reference Rushen and Congdonb, Reference Rushen and Congdon1987; Baxter Reference Baxter1987; McCaig Reference McCaig1987; Grandin Reference Grandin1988; Kuchel et al. Reference Kuchel, Mather, Runciman and Carapetis1990), and this is considered a poor welfare outcome.

High frequency (400 Hz) equipment has been available in the crocodile industry for a number of years and, more recently, low frequency (50 Hz) electrical stunning equipment has been introduced on some Australian crocodile farms. During the electrical stunning of livestock, the applied frequency can influence the effectiveness of the stun (even at the same current level). In chickens, increasing frequency from 50 to 400 Hz increased the duration of changes in EEG, but 1,500 Hz failed to induce the desired changes in EEG to achieve unconsciousness (Raj & O’Callaghan Reference Raj and O’Callaghan2004; Raj et al. Reference Raj, O’Callaghan and Hughes2006a,Reference Raj, O’Callaghan and Knowlesb). It was therefore necessary to confirm that both these systems produce changes in the EEG of saltwater crocodiles that are regarded as incompatible with consciousness, to confirm that animal welfare is not compromised as a result of use of the equipment. In the current study, the 50-Hz stunner was superior to the 400-Hz stunner in farmed grower crocodiles, providing sustained changes in EEG in a greater proportion of animals.

For the purpose of this study, a non-invasive EEG recording technique in crocodiles was developed, based on equipment that has been used successfully in other species, e.g. cattle (Small et al. Reference Small, Lea, Niemeyer, Hughes, McLean and Ralph2019). For ideal EEG recording, needle electrodes inserted under the skin should be utilised. However, this is invasive and likely to be a painful procedure, and so to minimise stress to the animals non-invasive pads have been used reliably for humane slaughter research. These pads provide less detail in the EEG than needle electrodes, but as this is an on-farm validation of commercial practice, and the EEG is only being assessed for evidence of epileptiform activity or suppression; and not for nuances of sleep or cognition, the non-invasive method provides sufficient data for this study. Although 6% of animals did not demonstrate significant within-animal changes in the EEG data, all showed behavioural responses indicative of unconsciousness. In commercial situations where non-invasive EEG techniques are used on fully conscious animals, artefact and noise leads to uncertainty around the data produced. Furthermore, the presence of the transitional state (Bates Reference Bates2010; Meyer Reference Meyer2015) further confounds interpretation of EEG data alone.

There are few published studies on the EEG of crocodilians, none of which specifically measure the EEG of the saltwater crocodile and, although a number of studies involving other species of reptile exist, it appears that the resting EEG of different reptiles does differ in character (Knyazev Reference Knyazev2012). Furthermore, of the existing studies, all use differing methodologies for EEG collection, data extraction and analysis. Thus, comparison of our data against these studies is limited by a range of confounding factors. For example, comparison of absolute power values between studies is not possible, as absolute recorded value is affected by equipment and data extraction and analysis method (Cohen Reference Cohen2014). Furthermore, individual variation in EEG frequency band power values can be large so our use of baseline normalisation methods allows better comparison between treatment groups within the current study. Indeed, Parsons and Huggins (Reference Parsons and Huggins1965) reported individual variation in the dominant frequency band in resting caimans (Caiman sclerops), and Nevarez et al. (Reference Nevarez, Strain, da Cunha and Beaufrere2014) reported significant differences between groups in terms of base-line values for absolute power in each frequency band in alligators (Alligator mississippiensis), making comparison of treatments within that study difficult in the absence of a base-line normalisation process. The need to manually capture and restrain the animals prior to stunning could influence the characteristics of the baseline EEG. However, EEG changes relating to arousal and activation would be expected in the alpha and beta bands, and the degree of synchrony induced by manual handling (total power or dB) would be expected to be small in comparison with the effects of electrical stunning.

In the absence of prior knowledge with regard to effects of electric stunning on the EEG in saltwater crocodiles, we must look instead to knowledge gleaned from other species. For example, electric and electromagnetic stunning in mammals results in epileptiform activity in the EEG (Devine et al. Reference Devine, Gilbert, Graafhuis, Tavener, Reed and Leigh1986a,Reference Devine, Tavener, Gilbert and Dayb, Reference Devine, Tavener, Graafhuis and Gilbert1987; Cook et al. Reference Cook, Devine, Gilbert, Smith and Maasland1995; Velarde et al. Reference Velarde, Ruiz-de-la-Torre, Rosello, Fabrega, Diestre and Manteca2002; Rault et al. Reference Rault, Hemsworth, Cakebread, Mellor and Johnson2014; Small et al. Reference Small, Lea, Niemeyer, Hughes, McLean and Ralph2019), with initial increases in total power as a result of increased synchrony in neuronal activity, followed by a period of EEG suppression. In poultry, electrical stunning results in EEG changes similar to a petit mal epileptic episode, characterised by low frequency (< 3 Hz) polyspike or spike-and-wave activity (Rhody & Kuenzel Reference Rhody and Kuenzel1981; Gregory & Wotton Reference Gregory and Wotton1987), while Beyssen et al. (Reference Beyssen, Babile and Fernandez2004) recorded a sharp increase in EEG power in the first 10 s after electric stunning, followed by suppression that was sustained for at least 60 s in ducks (Anas platyrhynchos). Prior to carrying out the current study, it was unclear if we would observe grand mal (as per mammalian studies) or petit mal (as per avian studies) epileptiform activity in crocodiles (i.e. with them being reptiles).

Here, electrical stunning was associated with an initial phase of grand mal epileptiform activity, evidenced by large dB increase in power, particularly in the first 25 s post-stun application, that was sustained into the second 25-s period when using P1–50 Hz. This increase in power was particularly evident in the theta and delta frequency bands. Sànchez-Barrera et al. (Reference Sanchez-Barrera, Albarracin and Rojas2014) reported a significant decrease in percentage power in delta, increase in theta, and alpha in sheep undergoing head-only electrical stunning, which differs from our data in which there was little change in percentage power represented in each of the theta, delta, beta and alpha bands, but an increase in percentage power represented in extremely low frequencies. In the Sànchez-Barrera et al. study the baseline EEG appeared to be dominated by delta frequency activity whereas, in the current study, extremely low frequencies dominated the EEG, followed by alpha activity. The difference between studies may be related to methodology as Sànchez-Barrera et al. did not consider frequencies below 1 Hz, and furthermore, the extremely low frequency activity recorded in the current study may be an artefact of the non-invasive recording technique used. However, it may also relate to species differences.

Resting EEG in caimans has been reported to be dominated by alpha frequencies, sometimes with beta frequencies superimposed (Parsons & Huggins Reference Parsons and Huggins1965), while placing the caiman in a supine ‘trance-like’ position suppressed the alpha frequency activity, replacing it with predominantly delta frequencies (Parsons et al. Reference Parsons, Huggins and Rudenber1966). Although little is known about the interpretation of the EEG frequency bands in crocodilians, in humans, delta and theta waves are associated with deep relaxation or sleep; alpha with a calm, wakeful state and beta with alertness, anxiety, panic and concentration (Kumar & Bhuvaneswari Reference Kumar and Bhuvaneswari2012). If this follows true also for crocodilians, the findings of Parsons and Huggins suggest that their resting caimans were generally in a calm, wakeful state, with occasional periods of alertness. If the activity in the extremely low frequency (< 0.1 Hz) data in the current study is dismissed as an artefact of the methodology, we too identified that the baseline EEG is dominated by alpha frequency activity. Post-stun activation in the beta frequency band, particularly noticeable in EEGs associated with position 2 application, could therefore be cause for concern in terms of welfare: it could suggest that the animal is conscious but immobilised, with a heightened state of alertness or anxiety.

Animal welfare implications

In the current study, two hand-held electrical stun units (50 and 400 Hz) were compared in terms of their ability to induce unconsciousness based on EEG changes when applied at a position directly spanning the brain (position 1; P1) or on the neck immediately behind the skull (position 2; P2) in farmed, grower saltwater crocodiles, representative of those harvested for skin production. The 50-Hz stunner applied at position 1 was superior, resulting in 94% of stuns showing significant changes in RMS and total power sustained beyond 25 s, and the 400-Hz stunner applied at position 2 was least reliable, resulting in 73% of stuns showing sustained (> 25 s) changes in dB power. For both stunners, position 1 was superior to position 2. Although, here, the outcomes for the P1–400 Hz and P2–50 Hz were similar, in a commercial setting, use of the 50-Hz stunner would allow a degree of placement inaccuracy without compromising on the overall welfare of the crocodile.

Conclusion

Application of either 50- or 400-Hz stunners at position 1 resulted in seizure-like activity and activation in theta and delta (low frequencies) post stun, in the majority of cases, indicative of unconsciousness. Activation in theta and delta was also observed in some animals with application at position 2 with both stunners, but was not consistent across all animals, and when not present activation in alpha and beta occurred, which could indicate alertness, pain or distress.

Despite large standard deviations in the data, the ability of the electrical stunners to consistently induce recoverable unconsciousness could be ranked in decreasing order as: P1–50 Hz > P1–400 Hz = P2–50 Hz > P2–400 Hz. P1–50 Hz produced EEG changes indicative of unconsciousness that lasted for over 30 s.

Further research is required to fully understand the EEG responses to electrical stunning in crocodilians; and to refine and select the most appropriate behavioural indicators for assessment of unconsciousness.

Acknowledgements

The authors would like to thank the staff at the commercial crocodile farm for their assistance in conducting the study; and the Australian Crocodile Industry for providing the funding required.

Competing interest

Submission of this manuscript to Animal Welfare has been approved by the funding body.

Footnotes

Author contributions: Conceptualisation: LH; Data curation: LH, DN, AS; Formal analysis: AS; Funding acquisition: LH; Investigation: LH, DN; Methodology: LH, AS; Project administration: LH; Supervision: not applicable; Writing – original draft: LH, AS; Writing – review and editing: LH, AS.

References

Bates, G 2010 Humane issues surrounding decapitation reconsidered. Journal of the American Veterinary Medical Association 237: 10241026. DOI: 10.2460/javma.237.9.1024CrossRefGoogle ScholarPubMed
Baxter, JR 1987 Response of sheep to short-term restraint by electro-immobilization. Australian Veterinary Journal 64: 195195. DOI: 10.1111/j.1751-0813.1987.tb09685.xCrossRefGoogle Scholar
Beyssen, C, Babile, R and Fernandez, X 2004 Electrocorticogram spectral analysis and somatosensory evoked potentials as tools to assess electrical stunning efficiency in ducks. British Poultry Science 45: 409415. DOI: 10.1080/00071660410001730923CrossRefGoogle ScholarPubMed
Boly, M, Seth, AK, Wilke, M, Ingmundson, P, Baars, B, Laureys, S, Edelman, DB and Tsuchiya, N 2013 Consciousness in humans and non-human animals: recent advances and future directions. Frontiers in Psychology 4. DOI: 10.3389/fpsyg.2013.00625CrossRefGoogle ScholarPubMed
Cohen, MX 2014 Analyzing Neural Time Series Data: Theory and Practice. MIT Press: Cambridge, MA, USA. ISBN 978-0-262-31954-6978-0-262-01987-3CrossRefGoogle Scholar
Cook, CJ 1993 A guide to better electrical stunning. Meat Focus International 1993: 128131. Not online – ISSN 0961-2076Google Scholar
Cook, CJ, Devine, CE, Gilbert, KV, Smith, DD and Maasland, SA 1995 The effect of electrical head-only stun duration on electroencephalographic-measured seizure and brain amino acid neurotransmitter release. Meat Science 40: 137147. DOI 10.1016/0309-1740(94)00043-7CrossRefGoogle ScholarPubMed
Devine, CE, Gilbert, KV, Graafhuis, AE, Tavener, A, Reed, H and Leigh, P 1986a The effect of electrical stunning and slaughter on the electroencephalogram of sheep and calves. Meat Science 17: 267281. DOI 10.1016/0309-1740(86)90045-8CrossRefGoogle ScholarPubMed
Devine, CE, Tavener, A, Gilbert, KV and Day, AM 1986b Electroencephalographic studies of adult cattle associated with electrical stunning, throat cutting and carcass electro-immobilization. New Zealand Veterinary Journal 34: 210213. DOI 10.1080/00480169.1986.35352CrossRefGoogle ScholarPubMed
Devine, CE, Tavener, A, Graafhuis, AE and Gilbert, KV 1987 Electroencephalographic studies of calves associated with electrical stunning, throat cutting and carcass electro-immobilisation. New Zealand Veterinary Journal 35: 107112. DOI: 10.1080/00480169.1987.35400CrossRefGoogle ScholarPubMed
European Food Safety Authority (EFSA) 2004 Welfare aspects of animal stunning and killing methods. European Food Safety Authority: Parma, Italy. https://doi.org/10.2903/j.efsa.2004.45Google Scholar
European Commission (EC) 2009 Council Regulation (EC) No 1099/2009 of 24 September 2009 on the Protection of Animals at the Time of Killing. European Commission: Brussels, Belgium. ELI: http://data.europa.eu/eli/reg/2009/1099/ojGoogle Scholar
Franklin, CE, Davis, BM, Peucker, SKJ, Stephenson, H, Mayer, R, Whittier, J, Lever, J and Grigg, GC 2003 Comparison of stress induced by manual restraint and immobilisation in the estuarine crocodile, Crocodylus porosus. Journal of Experimental Zoology Part A-Comparative Experimental Biology 298A: 8692. DOI: 10.1002/jez.a.10233CrossRefGoogle Scholar
Gibson, TJ, Johnson, CB, Murrell, JC, Mitchinson, SL, Stafford, KJ and Mellor, DJ 2009 Electroencephalographic responses to concussive non-penetrative captive-bolt stunning in halothane-anaesthetised calves. New Zealand Veterinary Journal 57: 9095. DOI: 10.1080/00480169.2009.36884CrossRefGoogle ScholarPubMed
Grandin, T 1988 Electro-immobilisation. Australian Veterinary Journal 65: 3636. DOI: 10.1111/j.1751-0813.1988.tb14937.xCrossRefGoogle ScholarPubMed
Grandin, T, Curtis, SE, Widowski, TM and Thurmon, JC 1986 Electro-immobilization versus mechanical restraint in an avoid-avoid choice test for ewes. Journal of Animal Science 62: 14691480. DOI: 10.2527/jas1986.6261469xCrossRefGoogle Scholar
Gregory, NG and Wotton, SB 1987 Effect of electrical stunning on the electroencephalogram in chickens. British Veterinary Journal 143: 175183. DOI: 10.1016/0007-1935(87)90009-1CrossRefGoogle ScholarPubMed
Jephcott, EH, McMillen, IC, Congdon, P and Thorburn, GD 1988 Electroimmobilization and ovine plasma-cortisol concentrations - effect of current intensity, current duration and diazepam. Research in Veterinary Science 44: 2124. DOI: 10.1016/0034-5288(88)90006-9CrossRefGoogle ScholarPubMed
Jephcott, EH, McMillen, IC, Rushen, J, Hargreaves, A and Thorburn, GD 1986 Effect of electroimmobilization on ovine plasma-concentrations of beta-endorphin beta-lipotrophin, cortisol and prolactin. Research in Veterinary Science 41: 371377. DOI: 10.1016/S0034-5288(18)30633-7CrossRefGoogle Scholar
Jephcott, EH, McMillen, IC, Rushen, JP and Thorburn, GD 1987 A comparison of the effects of electroimmobilization and, or, shearing procedures on ovine plasma-concentrations of beta-endorphin beta-lipoprotein and cortisol. Research in Veterinary Science 43: 97100. DOI: 10.1016/S0034-5288(18)30750-1CrossRefGoogle ScholarPubMed
Knyazev, GG 2012 EEG delta oscillations as a correlate of basic homeostatic and motivational processes. Neuroscience and Biobehavioral Reviews 36: 677695. DOI: 10.1016/j.neubiorev.2011.10.002CrossRefGoogle ScholarPubMed
Kuchel, TR, Mather, LE, Runciman, WB and Carapetis, RJ 1990 Physiological and biochemical consequences of electroimmobilization in conscious sheep. Australian Veterinary Journal 67: 3338. DOI: 10.1111/j.1751-0813.1990.tb07690.xCrossRefGoogle Scholar
Kumar, JS and Bhuvaneswari, P 2012 Analysis of electroencephalography (EEG) signals and its categorization–a study. Procedia Engineering 38: 25252536. DOI: 10.1016/j.proeng.2012.06.298CrossRefGoogle Scholar
Lambooy, E 1985 Electroanesthesia or electroimmobilization of calves, sheep and pigs by the Feenix Stockstill. Veterinary Quarterly 7: 120126. DOI: 10.1080/01652176.1985.9693967CrossRefGoogle ScholarPubMed
Manolis, SC and Webb, GJW 2016 Best Management Practices for Crocodilian Farming. IUCN-SSC Crocodile Specialist Group: Darwin, NT, Australia. http://www.iucncsg.org/content_images/attachments/CSG-BMP.pdf (accessed 13th July 2023)Google Scholar
McCaig, J 1987 Electroimmobilization of sheep. Veterinary Record 120: 96. Not available online – ISSN: 0042-4900Google Scholar
Meyer, RE 2015 Physiologic measures of animal stress during transitional states of consciousness. Animals 5: 702761. DOI: 10.3390/ani5030380CrossRefGoogle ScholarPubMed
Murrell, JC and Johnson, CB 2006 Neurophysiological techniques to assess pain in animals. Journal of Veterinary Pharmacology and Therapeutics 29: 325335. DOI: 10.1111/j.1365-2885.2006.00758.xCrossRefGoogle ScholarPubMed
National Health and Medical Research Council 2013 Australian Code for the Care and Use of Animals for Scientific Purposes. National Health and Medical Research Council: Canberra, ACT, Australia. https://www.nhmrc.gov.au/about-us/publications/australian-code-care-and-use-animals-scientific-purposes#block-views-block-file-attachments-content-block-1 (accessed 13 July 2023)Google Scholar
Nevarez, JG, Strain, GM, da Cunha, AF and Beaufrere, H 2014 Evaluation of four methods for inducing death during slaughter of American alligators (Alligator mississippiensis). American Journal of Veterinary Research 75: 536543. DOI: 10.2460/ajvr.75.6.536CrossRefGoogle ScholarPubMed
OIE 2022 Terrestrial Animal Health Code. World Organisation for Animal Health: Paris, France. https://www.woah.org/en/what-we-do/standards/codes-and-manuals/terrestrial-code-online-access/?id=169&L=1&htmfile=chapitre_aw_reptiles.htm (accessed 13 July 2023)Google Scholar
Parsons, LC and Huggins, SE 1965 A study of spontaneous electrical activity in brain of Caiman sclerops. Proceedings of the Society for Experimental Biology and Medicine 119: 397.CrossRefGoogle ScholarPubMed
Parsons, LC, Huggins, SE and Rudenber, F 1966 Electroencephalograms in Caiman sclerops under environmental conditions. Texas Reports on Biology and Medicine 24: 518 Not available online - ISSN: 0040-4675Google Scholar
Pascoe, PJ 1986 Humaneness of an electroimmobilization unit for cattle. American Journal of Veterinary Research 47: 22522256. Not available online - ISSN: 0002-9645Google ScholarPubMed
Pascoe, PJ and McDonell, WN 1985 Aversive-conditioning used to test the humaneness of a commercial electroimmobilization unit in cattle. Veterinary Surgery 14: 7576. Not available online - ISSN: 0161-3499Google Scholar
Pascoe, PJ and McDonell, WN 1986 The noxious effects of electroimmobilization in adult Holstein cows - a pilot-study. Canadian Journal of Veterinary Research-Revue Canadienne De Recherche Veterinaire 50: 275279. Not available online - ISSN: 0830-9000Google ScholarPubMed
Pfitzer, S, Ganswindt, A, Fosgate, GT, Botha, PJ and Myburgh, JG 2014 Capture of farmed Nile crocodiles (Crocodylus niloticus): comparison of physiological parameters after manual capture and after capture with electrical stunning. Veterinary Record 175. DOI: 10.1136/vr.102438CrossRefGoogle ScholarPubMed
R Core Team 2021 R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna, Austria. https://www.r-project.org/ (accessed 13th July 2023)Google Scholar
Raj, ABM 2006 Recent developments in stunning and slaughter of poultry. Worlds Poultry Science Journal 62: 467484. DOI: 10.1079/wps2005109CrossRefGoogle Scholar
Raj, ABM and O’Callaghan, M 2004 Effect of amount and frequency of head-only stunning currents on the electroencephalogram and somatosensory evoked potentials in broilers. Animal Welfare 13: 159170. Not available online - ISSN: 0962-7286CrossRefGoogle Scholar
Raj, ABM, O’Callaghan, M and Hughes, SI 2006a The effects of amount and frequency of pulsed direct current used in water bath stunning and of slaughter methods on spontaneous electroencephalograms in broilers. Animal Welfare 15: 1924. Not available online - ISSN: 0962-7286CrossRefGoogle Scholar
Raj, ABM, O’Callaghan, M and Knowles, TG 2006b The effects of amount and frequency of alternating current used in water bath stunning and of slaughter methods on electroencephalograms in broilers. Animal Welfare 15: 718. Not available online - ISSN: 0962-7286CrossRefGoogle Scholar
Rault, JL, Hemsworth, PH, Cakebread, PL, Mellor, DJ and Johnson, CB 2014 Evaluation of microwave energy as a humane stunning technique based on electroencephalography (EEG) of anaesthetised cattle. Animal Welfare 23: 391400. DOI: 10.7120/09627286.23.4.391CrossRefGoogle Scholar
Rhody, JL and Kuenzel, WJ 1981 Electroencephalograms, electrocardiograms, and blood-pressure of seizure-prone chicks (Gallus domesticus). Physiology & Behavior 26: 10071011. DOI: 10.1016/0031-9384(81)90201-8CrossRefGoogle ScholarPubMed
Rushen, J 1986a Aversion of sheep to electro-immobilization and physical restraint. Applied Animal Behaviour Science 15: 315324. DOI: 10.1016/0168-1591(86)90124-3CrossRefGoogle Scholar
Rushen, J 1986b Observations on the aversion of sheep to electro-immobilization and physical restraint. Australian Veterinary Journal 63(2): 6364. DOI: 10.1111/j.1751-0813.1986.tb02929.xCrossRefGoogle Scholar
Rushen, J 1987 Electro-immobilization. Australian Veterinary Journal 64: 194195. DOI: 10.1111/j.1751-0813.1987.tb09684.xCrossRefGoogle Scholar
Rushen, J and Congdon, P 1986a Relative aversion of sheep to simulated shearing with and without electro-immobilization. Australian Journal of Experimental Agriculture 26: 535537. DOI: 10.1071/ea9860535CrossRefGoogle Scholar
Rushen, J and Congdon, P 1986b Sheep may be more averse to electro-immobilization than to shearing. Australian Veterinary Journal 63: 373374. DOI: 10.1111/j.1751-0813.1986.tb02903.xCrossRefGoogle Scholar
Rushen, J and Congdon, P 1987 Electro-immobilization of sheep may not reduce the aversiveness of a painful treatment. Veterinary Record 120: 3738. DOI: 10.1136/vr.120.2.37CrossRefGoogle Scholar
Russell, WMS and Burch, RL 1959 The Principles of Humane Experimental Technique. Methuen: London, UK. https://caat.jhsph.edu/principles/the-principles-of-humane-experimental-technique (accessed 13 July 2023)Google Scholar
Sanchez-Barrera, IC, Albarracin, W and Rojas, MJ 2014 Electroencephalographic spectrum power of sheep’s brain after stunning. Journal of Applied Animal Research 42: 7378. DOI: 10.1080/09712119.2013.822805CrossRefGoogle Scholar
Seth, AK, Baars, BJ and Edelman, DB 2005 Criteria for consciousness in humans and other mammals. Consciousness and Cognition 14: 119139. DOI: 10.1016/j.concog.2004.08.006CrossRefGoogle ScholarPubMed
Small, A, Lea, J, Niemeyer, D, Hughes, J, McLean, D and Ralph, J 2019 Development of a microwave stunning system for cattle 2: Preliminary observations on behavioural responses and EEG. Research in Veterinary Science 122: 7280. DOI: 10.1016/j.rvsc.2018.11.010CrossRefGoogle ScholarPubMed
Velarde, A, Ruiz-de-la-Torre, JL, Rosello, C, Fabrega, E, Diestre, A and Manteca, X 2002 Assessment of return to consciousness after electrical stunning in lambs. Animal Welfare 11: 333341. Not available online: ISSN: 0962-7286CrossRefGoogle Scholar
Verhoeven, MTW, Gerritzen, MA, Hellebrekers, LJ and Kemp, B 2015 Indicators used in livestock to assess unconsciousness after stunning: a review. Animal 9: 320330. DOI: 10.1017/s1751731114002596CrossRefGoogle ScholarPubMed
Zulkifli, I, Goh, YM, Norbaiyah, B, Sazili, AQ, Lotfi, M, Soleimani, AF and Small, AH 2014 Changes in blood parameters and electroencephalogram of cattle as affected by different stunning and slaughter methods in cattle. Animal Production Science 54: 187193. DOI: 10.1071/an12128CrossRefGoogle Scholar
Figure 0

Table 1. Study phases

Figure 1

Figure 1. The non-invasive EEG wand applied to the head of a conscious crocodile.

Figure 2

Figure 2. Diagram of EEG electrode montage placement on a crocodile skull.

Figure 3

Figure 3. Position of application of electric stun. Position 1 directly above the brain (pallium and cerebellum); position 2 above the brain-stem and ventral regions of the spinal cord, distal to the pallium and cerebellum, in the region bounded by the ‘2’ markers shown.

Figure 4

Figure 4. Examples of raw EEG traces. (A) Pre-stun trace, animal assigned to P2–50 Hz treatment, (B) post-stun trace from the same animal, (C) pre-stun trace, animal assigned to P1–50 Hz treatment, (D) post-stun trace from the same animal, (E) pre-stun trace, animal assigned to P1–400 Hz treatment, (F) post-stun trace from the same animal, (G) pre-stun trace, animal assigned to P2–400 Hz treatment, (H) post-stun trace from the same animal.

Figure 5

Table 2. Mean (± SD) percentage power in each frequency band by treatment and time-period

Figure 6

Table 3. Mean (± SD) RMS in each frequency band by treatment and time-period

Figure 7

Table 4. Mean (± SD) dB Change from baseline (T0) at T1 and T2, by treatment and frequency band

Figure 8

Figure 5. Example of P1–50 Hz EEG trace, showing decibel change from baseline power in each frequency band.

Figure 9

Figure 6. Example of P2–50 Hz EEG trace, showing decibel change from baseline power in each frequency band.

Figure 10

Figure 7. Example of P1–400 Hz EEG trace, showing decibel change from baseline power in each frequency band.

Figure 11

Figure 8. Example of P2–400 Hz EEG trace, showing decibel change from baseline power in each frequency band.