Biology subjects

Phillips, K. G.

Publications and source records attributed to Phillips, K. G..

6 recordsLinked to original sources

bioRxiv2026

Contribution of Wide Dynamic Range neuronal activation to somatosensory evoked potentials supports use as biomarker of spinal nociceptive processing

Identifying objective translational biomarkers of spinal nociceptive processing is important to accelerate analgesic development. The primary negative component (N1) of spinal somatosensory evoked potentials (SEPs) has been proposed as such a biomarker. However, the cellular substrates of the N1 potential (evoked by innocuous electrical stimulation) and their relevance to nociceptive processing have not been directly demonstrated. Here, we employed a 64-channel multielectrode recording approach in the dorsal horn of anaesthetised Wistar rats to functionally characterise the neuronal populations activated during the generation of spinal SEPs and determine how their activity is modulated by tapentadol. Single units were classified based on their responses to mechanical stimulation of the hindpaw, and their electrically evoked responses to sciatic nerve stimulation. Of 59 well-isolated units, 47 (80%) were classified as wide dynamic range (WDR) neurons and 12 (20%) as low-threshold mechanoreceptive (LTMR) neurons, spatially distributed across spinal laminae III-V. Tapentadol (10 mg/kg, intraperitoneal (i.p)) selectively attenuated the mechanically- and electrically-evoked activity of WDR neurons without affecting LTMR responses. This WDR-inhibition was largely reversed by naloxone (0.25 mg/kg, i.p) but not by atipamezole (1 mg/kg, i.p), identifying a predominant opioid receptor-mediated mechanism of inhibition in the naive state. The magnitude of WDR inhibition by tapentadol correlated with the degree of reduction of the N1 amplitude. These findings establish activity in WDR neurons as a core component of the N1 potential, supporting the use of spinal SEPs as a translational biomarker of analgesic target engagement within the dorsal horn. SummaryMultielectrode recordings identify inhibition of WDR neurons as the mechanism by which tapentadol modulates spinal SEPs, supporting use as a biomarker of spinal nociceptive processing.

neuroscience↗

bioRxiv2025

Preclinical assay of the effects of lacosamide, pregabalin and tapentadol on the rat N1 spinal somatosensory evoked potential.

The high failure rate in translating novel analgesics into the clinic has highlighted the need for more translatable biomarkers of analgesic efficacy. The N13 component of spinal somatosensory evoked potential (SEP) has been proposed as a biomarker of spinal nociceptive processing in humans, but it is not known whether this can be back translated into rodents. Tapentadol, lacosamide and pregabalin were used as pharmacological probes to assess the sensitivity of spinal SEPs to drug action. In anaesthetised, naive rats (n=44), a multielectrode silicon probe was inserted into the L4 spinal cord to record SEPs from the dorsal horn following electrical stimulation of the sciatic nerve. At baseline, the N1 component (rodent equivalent of the human N13) had an amplitude of 1.33 {+/-} 0.07mV at a latency of 4.6 {+/-} 0.2ms following low-intensity stimulation, with an intensity-dependent amplitude increase into the noxious range. The N1 amplitude was significantly reduced by 10mg/Kg tapentadol (40.2 {+/-} 12.5 % vs vehicle 96.2 {+/-} 8.0 %) and 30mg/Kg lacosamide (46.3 {+/-} 20.9 % lacosamide vs vehicle 115 {+/-} 5.9 %) at 60 minutes after intraperitoneal administration. Tapentadol also reduced the N1 amplitude in the noxious range. Lacosamide increased the stimulus current required to evoke the half maximal N1 response (EC50), without reducing the maximum N1 amplitude in the noxious range. Pregabalin (at any dose up to 30mg/kg) did not modulate the N1 amplitude. These results show the spinal N1 is differentially modulated in a way that reflects distinct mechanisms of drug action consistent with it being a translatable biomarker of analgesic efficacy.

neuroscience↗

bioRxiv2021

Trial by trial, machine learning approach identifies temporally discrete Aδ- and C-fibre mediated laser evoked potentials that predict pain behaviour in rats.

Laser evoked potentials (LEPs) - the EEG response to temporally-discrete thermal stimuli - are commonly used in experimental pain studies in humans. Such stimuli selectively activate nociceptors and produce EEG features which correlate with pain intensity. The rodent LEP has been proposed to be a translational biomarker of nociception and pain, however its validity has been questioned because of reported differences in the classes of nociceptive fibres mediating the response. Here we use a machine learning, trial by trial analysis approach on wavelet-denoised LEPs generated by stimulation of the plantar hindpaw of rats. The LEP amplitude was more strongly related to behavioural response than to laser stimulus energy. A simple decision tree classifier using LEP features was able to predict behavioural responses with 73% accuracy. An examination of the features used by the classifier showed that mutually exclusive short and long latency LEP peaks were clearly seen in single-trial data, yet were not evident in grand average data pooled from multiple trials. This bimodal distribution of LEP latencies was mirrored in the paw withdrawal latencies which were preceded and predicted by the LEP responses. The proportion of short latency events was increased after intradermal application of high dose capsaicin (to defunctionalise TRPV1 expressing nociceptors), suggesting they were mediated by A{delta}-fibres (specifically AMH-I). These findings demonstrate that both C- and A{delta}-fibres contribute to rodent LEPs and concomitant behavioural responses, providing a real-time assay of specific fibre function in conscious animals. Single-trial analysis approaches can improve the utility of LEPs as a translatable biomarker of pain.

neuroscience↗

bioRxiv2021

Altered low frequency brain rhythms precede changes in gamma power during tauopathy

Alzheimers disease and other dementias are associated with disruptions of electrophysiological brain activity, including low frequency and gamma rhythms. Many of these dementias are also associated with the malfunction of the membrane associated protein tau. Tauopathy disrupts neuronal function and the stability of synapses and is a key driver of neurodegeneration. Here we ask how brain rhythms are affected by tauopathy, at different stages of its progression. We performed local field potential recordings from visual cortex of rTg4510 and control animals at early stages of neurodegeneration (5 months) and at a more advanced stage where pathology is evident (8 months). We measured brain activity in the presence or absence of external visual stimulation, and while monitoring pupil diameter and locomotion to establish animal behavioural states. At 5 months, before substantial pathology, we found an increase in low frequency rhythms during resting state in tauopathic animals. This was because tauopathic animals entered intermittent periods of increased neural synchronisation, where activity across a wide band of low frequencies was strongly correlated. At 8 months, when the degeneration was more advanced, the increased synchronisation and low frequency power was accompanied by a reduction in power in the gamma range, with diverse effects across different components of the gamma rhythm. Our results indicate that slower rhythms are impaired earlier than gamma rhythms in tauopathy, suggesting that electrophysiological measurements can indicate both the presence and progression of tauopathic degeneration.

neuroscience↗

bioRxiv2020

Plasticity in visual cortex is disrupted in a mouse model of tauopathy and neurodegeneration

Neurodegeneration is a hallmark of many dementias and is thought to underlie a progressive impairment of neural plasticity. How neurodegeneration affects plasticity in neural circuits is not known. We therefore characterised the impact of tau-driven neurodegeneration on plasticity in the visual system, where normal function is well understood. We studied a very simple form of visual plasticity that allowed us to track both long timescales (across days) and shorter timescales (over minutes). We recorded the local field potential in the primary visual cortex of rTg4510 transgenic mice, a mouse model of tauopathy, while animals were repeatedly exposed to the same stimulus over the course of 9 days. We studied animals at early stages of neurodegeneration (5 months old) and at a more advanced stage where pathology is evident (8 months). We found that both short- and long-term visual plasticity were already disrupted at early stages of neurodegeneration, and were further reduced in older animals, such that it was abolished in mice expressing the mutant tau. Additionally, we found that visually evoked behaviours were disrupted in both younger and older mice expressing the mutant tau. Our results show that visual cortical plasticity and visually evoked behaviours are disrupted in the rTg4510 model of tauopathy, even at early stages of neurodegeneration. This simple measure of neural plasticity may help understand how neurodegeneration disrupts neural circuits, and offers a translatable platform for detection and tracking of the disease. HighlightsO_LIVisual plasticity is disrupted at early stages of neurodegeneration in rTg4510 mice C_LIO_LIVisual plasticity is reduced in older animals, particularly during neurodegeneration C_LIO_LIInstinctive visual behaviours are reduced in neurodegeneration C_LIO_LIShort-term visual plasticity is reduced in neurodegeneration C_LI

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bioRxiv2019

Impaired speed encoding is associated with reduced grid cell periodicity in a mouse model of tauopathy

Dementia is associated with severe spatial memory deficits which arise from dysfunction in hippocampal and parahippocampal circuits. For spatially-sensitive neurons, such as grid cells, to faithfully represent the environment these circuits require precise encoding of direction and velocity information. Here we have probed the firing rate coding properties of neurons in medial entorhinal cortex (MEC) in a mouse model of tauopathy. We find that grid cell firing patterns are largely absent in rTg4510 mice, while head direction tuning remains largely intact. Conversely, neural representation of running speed information was significantly disturbed, with smaller proportions of MEC cells having firing rates correlated with locomotion in rTg4510 mice. Additionally, the power of local field potential oscillations in the theta and gamma frequency bands, which in wildtype mice are tightly linked to running speed, was invariant in rTg4510 mice. These deficits in locomotor speed encoding likely severely impact path integration systems in dementia.

neuroscience↗