Methodology for quantifying excitability of identified projection neurons in the dorsal horn of the spinal cord, specifically to study spinal cord stimulation paradigms

Smith, Trevor; Lee, Dong Chul; Bradley, Kerry; McMahon, Stephen B.

doi:10.1016/j.jneumeth.2019.108479

Cited by 8 publications

(8 citation statements)

References 61 publications

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“…Furthermore, spike sorting may be just as pivotal outside of the brain. Remaining at the level of the central nervous system, superficial dorsal horn spinal cord neurons reveal much about spinal plasticity, and sorting their activities may ensure isolation of relevant populations (Smith et al, 2020 ). For peripheral nervous system recordings, discrimination and identification of APs cannot lack spike sorting either (Metcalfe et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings

Bod

Rokai

Meszéna

et al. 2022

Front. Neuroinform.

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The meaning behind neural single unit activity has constantly been a challenge, so it will persist in the foreseeable future. As one of the most sourced strategies, detecting neural activity in high-resolution neural sensor recordings and then attributing them to their corresponding source neurons correctly, namely the process of spike sorting, has been prevailing so far. Support from ever-improving recording techniques and sophisticated algorithms for extracting worthwhile information and abundance in clustering procedures turned spike sorting into an indispensable tool in electrophysiological analysis. This review attempts to illustrate that in all stages of spike sorting algorithms, the past 5 years innovations' brought about concepts, results, and questions worth sharing with even the non-expert user community. By thoroughly inspecting latest innovations in the field of neural sensors, recording procedures, and various spike sorting strategies, a skeletonization of relevant knowledge lays here, with an initiative to get one step closer to the original objective: deciphering and building in the sense of neural transcript.

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Section: Discussionmentioning

confidence: 99%

From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings

Bod

Rokai

Meszéna

et al. 2022

Front. Neuroinform.

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“…Selective activation of A and A+C fibres with electrical stimulation of different pulse width or current intensity is a classical method in electrophysiology which is still commonly used (Fitzgerald, 1985;Smith et al, 2020;Stanfa and Dickenson, 2004). Higher current intensities are required to excite unmyelinated fibres than myelinated fibres, but because of the strength-duration characteristic of nerve excitation, increasing the duration of a stimulus while keeping amplitude constant allowed us to activate the C fibre component of a compound action potential (CAP), as confirmed by our previous studies (Koch and Fitzgerald, 2014).…”

Section: Discussionmentioning

confidence: 99%

Distinct Age-Dependent C Fiber-Driven Oscillatory Activity in the Rat Somatosensory Cortex

Chang

Fabrizi

Fitzgerald

2020

eNeuro

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When skin afferents are activated, the sensory signals are transmitted to the spinal cord and eventually reach the primary somatosensory cortex (SI), initiating the encoding of the sensory percept in the brain. While subsets of primary afferents mediate specific somatosensory information from an early age, the subcortical pathways that transmit this information undergo striking changes over the first weeks of life, reflected in the gradual emergence of specific sensory behaviours. We therefore hypothesised that this period is associated with differential changes in the encoding of incoming afferent volleys in SI. To test this, we compared SI responses to A fibre skin afferent stimulation and A+C skin afferent fibre stimulation in lightly anaesthetised male rats at postnatal day (P) 7, 14, 21 and 30. Differences in SI activity following A and A+C fibre stimulation changed dramatically over this period. At P30, A+C fibre stimulation evoked significantly larger gamma, beta and alpha energy increases compared to A fibre stimulation alone. At younger ages, the changes in S1 oscillatory activity evoked by the two afferent volleys were not significantly different. Silencing TRPV1+ C fibres with QX-314 significantly reduced the gamma and beta SI oscillatory energy increases evoked by A+C fibres, at P30 and P21, but not at younger ages. Thus, C fibres differentially modulate SI oscillatory activity only from the third postnatal week, well after the functional maturation of the somatosensory cortex. This age-related change in afferent evoked S1 oscillatory activity may underpin the maturation of sensory discrimination in the developing brain. Significance Statement Behavioural responses to sensory stimulation of the skin undergo major developmental changes over the first postnatal weeks. Here we show that this is accompanied by a shift in the differential frequency encoding of sensory A fibre and C fibre afferent inputs into the developing rat somatosensory cortex. The results demonstrate major postnatal changes in the ability of the cortex to differentiate between afferent sensory inputs arriving in the mammalian brain.

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“…In this context, it is interesting that a detailed protocol for the identification of superficial dorsal horn spinal cord neurons that receive peripheral input and project to the brain was recently presented. 96 This may allow for further identification of not only nociceptive-specific cells in the dorsal horn but also their possible (unmyelinated) ascending projections in the dorsal column.…”

Section: Tonic Spinal Cord Stimulation: Mechanisms Of Actionmentioning

confidence: 99%

Spinal cord stimulation in chronic neuropathic pain: mechanisms of action, new locations, new paradigms

Joosten

Franken

2020

Pain

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Methodology for quantifying excitability of identified projection neurons in the dorsal horn of the spinal cord, specifically to study spinal cord stimulation paradigms

Cited by 8 publications

References 61 publications

From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings

From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings

Distinct Age-Dependent C Fiber-Driven Oscillatory Activity in the Rat Somatosensory Cortex

Spinal cord stimulation in chronic neuropathic pain: mechanisms of action, new locations, new paradigms

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