Bursting deep dorsal horn neurons: the pharmacological target for the anti-spastic effects of Zolmitriptan?
Abstract
In a recent publication, Thaweerattanasinp and colleagues employed an in vitro preparation and electrophysiology to investigate firing properties of deep dorsal horn neurons following spinal cord injury during NMDA or zolmitriptan application. Deep dorsal horn neurons were classified into bursting, simple or tonic, with bursting neurons showing NMDA and zolmitriptan sensitivity. Here, we discuss the findings in a methodological framework and propose future experiments of importance for translating the results into a physiological setting.
02 /Specification & Classification
Click any tag to browse matching papers- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- An electrophysiological study about the pharmacological manipulation of the immediate consequences of a spinal trauma reveals a crucial role for TRPV4 antagonism.
Atiyeh Mohammadshirazi, Giuliano Taccola·bioRxiv·Oct 3, 2024
- Nimodipine prevents the development of spasticity after spinal cord injury
M. Marcantoni, A. Fuchs, … C. Bellardita·Science Translational MedicinePeer-reviewed·Apr 15, 2020
- Sensory plasticity of dorsal horn silent neurons: a critical mechanism for neuropathic pain
Ahmed Negm, François Gabrielli, … Cédric Peirs·Nature CommunicationsPeer-reviewed·Sep 3, 2026
- Modulation of human dorsal root ganglion neuron excitability by Nav1.7 inhibition
Akie Fujita, Sooyeon Jo, … Bruce P. Bean·eLifePeer-reviewed·Oct 23, 2026
- Neural population dynamics reveal that motor-targeted intraspinal microstimulation preferentially depresses nociceptive transmission in spinal cord injury-related neuropathic pain.
Jacob Graves McPherson, Maria F. Bandres·bioRxiv·Jul 27, 2023
- Calcium buffering tunes intrinsic excitability of spinal dorsal horn parvalbumin-expressing interneurons: A computational model
Xinyue Ma, Loïs S. Miraucourt, … Anmar Khadra·bioRxiv·Mar 5, 2023