Biology subjects

Hochman, S.

Publications and source records attributed to Hochman, S..

8 recordsLinked to original sources

bioRxiv2026

Ion channel and receptor-mediated regulation of axonal conduction reliability in sympathetic preganglionic neurons.

Sympathetic preganglionic neurons (SPNs) provide the sole spinal output to the peripheral sympathetic nervous system. Although sympathetic control is traditionally attributed to synaptic integration within the spinal cord and ganglia, the reliability of spike propagation along SPN axons themselves has received little attention. Here, and in companion papers, we show that axonal conduction in adult mouse thoracic SPNs is highly modifiable and constitutes a critical site of sympathetic gain control. Using an ex vivo preparation preserving intact paravertebral and splanchnic pathways while blocking synaptic transmission, we recorded compound action potentials evoked across multiple ganglia. Slower-conducting, unmyelinated SPN axons, particularly those with branching axons traversing the interganglionic nerve (IGN), exhibited pronounced, temperature-dependent conduction failures. Elevation of temperature produced membrane hyperpolarization and loss of conduction, consistent with activation of temperature-sensitive K2P leak channels, as supported by pharmacological evidence. Pharmacological activation of TREK-family channels with riluzole or arachidonic acid preferentially suppressed conduction in these axons. In contrast, blockade of voltage-gated K+ channels with 4-aminopyridine (4-AP) robustly facilitated conduction, recruited previously silent axons, and restored propagation under conditions of temperature-induced failure. Surprisingly, tetraethylammonium (TEA) block of K+ channels were without effect or depressant. Transmitter systems further shaped axonal reliability: agonists and antagonists of GABAA receptors, as well as cholinergic manipulations, selectively depressed conduction in slow, branching axons. Together, these findings establish SPN axons, particularly slow-conducting branching fibers, as an active and dynamically regulated substrate for sympathetic output control, revealing a presynaptic mechanism with implications for autonomic physiology and disease. SIGNIFICANCESympathetic output is commonly viewed as being regulated primarily through synaptic integration within spinal and autonomic circuits, while axons are often treated as passive transmission elements. Emerging evidence suggests this assumption is incomplete, particularly in slowly conducting and highly branched sympathetic preganglionic neuron (SPN) axons that may operate near the limits of conduction reliability. This study identifies branch point conduction as a dynamic and pharmacologically modifiable control mechanism governing sympathetic signal transmission. By demonstrating selective vulnerability of distinct SPN populations and revealing strong modulation by potassium channel mechanisms, these findings establish axonal conduction security as an underappreciated site of autonomic gain control. These mechanisms may represent novel therapeutic targets for restoring autonomic function after spinal cord injury and related disorders.

neuroscience↗

bioRxiv2026

Probabilistic spike propagation shapes sympathetic output in mouse preganglionic neurons

Sympathetic preganglionic neurons (SPNs) provide the final pathway through which the central nervous system regulates autonomic function. SPN axons projecting to paravertebral sympathetic chain ganglia branch extensively and diverge across multiple segments, enabling amplification of central sympathetic commands through extensive postganglionic neuronal populations. Spike propagation along these projections has generally been assumed to occur reliably. However, most SPN axons are extremely small unmyelinated fibers, a structural feature predicted to reduce the safety factor for spike propagation. Using an isolated mouse thoracic sympathetic chain preparation, we combined anatomical tracing with multi-site compound action potential recordings to assess conduction across SPN axons. Neurobiotin labeling revealed widespread rostrocaudal divergence through interganglionic nerves, while axon measurements confirmed that most SPN axons are small unmyelinated fibers. Across preparations, supramaximal recruitment of SPNs revealed substantial intertrial variability in compound responses, indicating frequent conduction failures. Failures were most prominent in slow-conducting axons and occurred in both branching interganglionic pathways and the unbranching axons within the splanchnic nerve. During repetitive activation, frequency dependent depression was observed at 1, 5 and 10Hz, but only slow-conducting branching axons exhibited pronounced depression. Overall, these findings indicate that spike propagation in SPN axons may operate probabilistically rather than deterministically, with reliability strongly dependent on axonal subtype and recent activity history. We conclude that axonal conduction variability constitutes an intrinsic and dynamically regulated mechanism that shapes sympathetic output. By varying the recruitment of postganglionic populations, unreliable spike propagation in SPN axons introduces a previously unrecognized presynaptic gain-control mechanism, operating independently of central spike generation to modulate sympathetic output. SIGNIFICANCESympathetic preganglionic neurons provide the final pathway through which the central nervous system controls end-organs. These neurons project through the sympathetic chain where their axons branch extensively to recruit more numerous paravertebral postganglionic neurons. Spike propagation along these projections has generally been assumed to occur reliably. Here we show that this assumption is incorrect. Using anatomical tracing and electrophysiological recordings in mouse sympathetic chain preparations, we demonstrate that spike conduction in sympathetic preganglionic axons is frequently variable and prone to failure, particularly in the slowest-conducting unmyelinated fibers. Conduction variability was preferentially enhanced in branching axonal pathways during repetitive activation. These findings reveal that axonal conduction reliability represents an important presynaptic mechanism regulating the magnitude and variability of sympathetic output.

neuroscience↗

bioRxiv2026

Temperature and frequency dependence of conduction along sympathetic preganglionic axons

Sympathetic preganglionic neurons (SPNs) distribute signals widely across paravertebral ganglia, yet the reliability of spike propagation along their predominantly unmyelinated axons remains poorly defined. We examined temperature- and activity-dependent modulation of SPN axonal conduction using an ex vivo adult mouse thoracic sympathetic chain preparation. Population compound action potentials (CAPs) were evoked by supramaximal stimulation of T10 ventral roots and recorded from branching axons in interganglionic compared to unbranching axons in the splanchnic nerve. At physiological temperature (36{degrees}C), scaled CAP magnitude was reduced by [~]50% relative to 22{degrees}C, with preferential loss of slower-conducting axonal components. These reductions are consistent with substantial temperature-dependent decreases in effective axonal recruitment, likely reflecting conduction failure in a large fraction of SPNs. Losses were more pronounced in interganglionic pathways, suggesting increased vulnerability in branching projections. To assess activity-dependent effects, stimuli were delivered at 1, 5, and 20 Hz with focus on 5 and 20 Hz stimulus trains (20s duration). The overall time-course of train-evoked depression was similar across temperatures; however, the underlying axonal populations differed. At 22{degrees}C, slower-conducting axons exhibited marked frequency-dependent depression, whereas at 36{degrees}C the remaining faster-conducting axons displayed facilitation, particularly at 20 Hz. Slower-conducting responses also showed post-train potentiation at physiological temperature. These findings indicate that SPN axonal conduction is not uniformly reliable and is strongly modulated by temperature and activation history. Preferential vulnerability of slow-conducting, likely small-diameter and branching axons identifies axonal conduction as a physiologically regulated site of gain control in sympathetic output.

neuroscience↗

bioRxiv2025

Plasticity in thoracic paravertebral sympathetic postganglionic neurons after high spinal cord transection

Various pre-sympathetic descending brain circuits recruit spinal cord preganglionic neurons to encode central sympathetic drive via their synaptic actions onto sympathetic postganglionic neurons (SPNs) - the final sympathetic output neurons. Thoracic paravertebral ganglia SPNs (tSPNs) provide distributed control over body tissue systems via functional subpopulations. High thoracic spinal cord injuries (SCIs) compromise descending excitatory drive to SPNs, causing dysautonomias including hypotension. In adult mice, we tested whether the SCI-induced chronic reduction in tSPN activity leads to homeostatic increases in their excitability. tSPN excitability spanned a >10 fold range in both sham and SCI populations, governed by a strong linear (ohmic) relationship between cell resistance and threshold depolarizing current (rheobase), with a clear trend towards increased excitability after SCI. Dendritic length was reduced, as was measured cell capacitance in Neuropeptide Y expressing (NPY+) tSPNs (putative vasoconstrictors), which represent >40% of tSPNs. NPY+ tSPNs also had changes in active membrane properties including an increased repetitive firing output gain ({uparrow}f-I slope), which modelling attributed to reduced delayed rectifier currents (IK). After SCI, spontaneous quantal excitatory synaptic frequency increased overall (226%) and in the NPY+ tSPN subpopulation (300%); their temporal summation recruited spiking in 10.5% of sham and 22.2% of SCI recordings. Computational modeling showed that spontaneous synaptic activity was particularly effective at recruiting spiking after SCI. Overall, tSPNs, including in vasoconstrictors, appear to undergo CNS-independent compensatory increases in excitability after SCI. The alterations further contribute to observed central and peripheral changes that limit hypoactivity and hypotension but exaggerate reflex responses. Significance StatementRecruited by preganglionic neurons located in thoracolumbar spinal cord, sympathetic postganglionic neurons (SPNs) represent the final step in sympathetic neural homeostatic control of target organs. The dramatic reductions or complete loss of brain pre-sympathetic drive in higher level spinal cord injuries (SCIs) contribute to emergent dysautonomias. Given the crucial role of SPNs in maintaining organismal homeostasis, we undertook comprehensive studies to test whether thoracic SPNs undergo homeostatic compensatory increases in their cellular excitability weeks after a high thoracic SCI. We observed changes consistent with increased cellular and synaptic excitability including in SPN vasoconstrictors, whose increased output gain, could mitigate hypotension but also strengthen hypertensive responses generated by afferent-driven exaggerated preganglionic drive (e.g. autonomic dysreflexia).

neuroscience↗

bioRxiv2025

Early Changes in Respiration and Motor Activity after Spinal Cord Injury Predict Pain-Related Outcomes in Mice

Spinal cord injuries (SCIs) may lead to the emergence of chronic pain many weeks after injury. Using the thoracic contusion model of SCI-induced neuropathic pain, we investigated whether early changes in mouse respiration or motor activity could predict and differentiate emergent dysfunction with focus on pain. We measured respiratory rate (RR) and movement (motor activity) in freely behaving mice before and at several time points following SCI. We then assessed behavioral signs of pain or thermal dysregulation by testing evoked hindpaw withdrawal responses to mechanical and thermal heating stimuli and temperature preferences at four weeks after injury. For 2-3 days after injury, mice exhibited sharp decreases in movement and RR variability, but these two parameters were uncorrelated within animals. Mice showed signs of mechanical and thermal hypersensitivity and preferences for warmer temperatures four weeks after injury. Interestingly, mice that moved the least 1 day after SCI preferentially underwent hindpaw mechano-sensitivity (r = 0.67, p =.036), whereas mice with large decreases in RR variability that recovered by 8 days post-injury preferred higher temperatures in the thermal preference test (r = 0.79, p =.007). Thus, early changes in movement and RR variability may differentially predict future hypersensitivity and thermal dysfunction. More broadly, early post-injury physio-behavioral events could inform novel interventions to mitigate subsequent emergent dysfunction after SCI.

physiology↗

bioRxiv2023

Emergent epileptiform activity drives spinal sensory circuits to generate ectopic bursting in intraspinal afferent axons after cord injury

Spinal cord injury (SCI) leads to hyperexcitability and dysfunction in spinal sensory processing. As hyperexcitable circuits can become epileptiform elsewhere, we explored whether such activity emerges in spinal sensory circuits in a thoracic SCI contusion model of neuropathic pain. Recordings from spinal sensory axons in multiple below-lesion segmental dorsal roots (DRs) demonstrated that SCI facilitated the emergence of spontaneous ectopic burst spiking in afferent axons, which synchronized across multiple adjacent DRs. Burst frequency correlated with behavioral mechanosensitivity. The same bursting events were recruited by afferent stimulation, and timing interactions with ongoing spontaneous bursts revealed that recruitment was limited by a prolonged post-burst refractory period. Ectopic bursting in afferent axons was driven by GABAA receptor activation, presumably via shifting subthreshold GABAergic interneuronal presynaptic axoaxonic inhibitory actions to suprathreshold spiking. Collectively, the emergence of stereotyped bursting circuitry with hypersynchrony, sensory input activation, post-burst refractory period, and reorganization of connectivity represent defining features of epileptiform networks. Indeed, these same features were reproduced in naive animals with the convulsant 4-aminopyridine (4-AP). We conclude that SCI promotes the emergence of epileptiform activity in spinal sensory networks that promotes profound corruption of sensory signaling. This corruption includes downstream actions driven by ectopic afferent bursts that propagate via reentrant central and peripheral projections and GABAergic presynaptic circuit hypoexcitability during the refractory period.

neuroscience↗

bioRxiv2021

Relating spinal injury-induced neuropathic pain and spontaneous afferent activity to sleep and respiratory dysfunction

Spinal cord injury (SCI) can induce dysfunction in a multitude of neural circuits including those that lead to impaired sleep, respiratory dysfunction and neuropathic pain. We used a lower thoracic rodent contusion SCI model - known to develop mechanosensory stimulus hypersensitivity, and spontaneous activity in primary afferents that associates neuropathic pain - and paired this with new approaches that enabled chronic capture of three state sleep and respiration to characterize dysfunction and assess possible interrelations. Noncontact electric field sensors were embedded into home cages for noninvasive capture in naturally behaving mice of the temporal evolution of sleep and respiration changes for 6 weeks after SCI. Hindlimb mechanosensitivity was assessed weekly, and terminal experiments measured primary afferent spontaneous activity in situ from intact lumbar dorsal root ganglia (DRG). We observed that SCI led to increased spontaneous primary afferent activity (both firing rate and the number of spontaneously active DRGs) that correlated with reduced hindpaw mechanical sensitivity, increased respiratory rate variability, and increased sleep fragmentation. This is the first study to measure and link sleep dysfunction and variability in respiratory rate in a SCI model of neuropathic pain, and thereby provide broader insight into the magnitude of overall stress burden initiated by neural circuit dysfunction after SCI.

neuroscience↗

bioRxiv2019

Noninvasive Sleep Scoring in Mice using Electric Field Sensors

BackgroundRodent sleep scoring in principally reliant on electroencephalogram (EEG) and electromyogram (EMG), but this approach is invasive, can be expensive, and requires expertise and specialized equipment. Affordable, simple to use, and noninvasive ways to accurately quantify rodent sleep are needed.\n\nNew methodWe developed and validated a new method for sleep-wake staging in mice using cost-effective, noninvasive electric field (EF) sensors that detect respiration and other movements. We validated recordings from EF sensors attached to the exterior of specialty chambers used to continuously capture sleep with EEG/EMG, then compared this to EF sensors attached to vivarium home-cages.\n\nResultsEF sensors quantified 3-state sleep architecture (wake, rapid eye movement - REM - sleep, and non-REM sleep) with high agreement (>93%) and comparable inter- and intra-scorer error as expert EEG/EMG scoring. Novices given an instruction document with examples were able to score sleep comparable to expert scorers (>91% agreement). Additionally, EF sensors were able to quantify 3-state sleep scoring in traditional mouse home cages.\n\nComparison with existing methodMost noninvasive sleep assessment technology requires animal contact, altered cage environments, and/or can only discern 2 states of arousal (wake or asleep). The EF sensors are able to discriminate REM from non-REM sleep accurately and from outside the animals home cage.\n\nConclusionsEF sensors provide a simple and reliable method to accurately score 3-state sleep architecture; (i) from outside the typical home cage, (ii) where noninvasive approaches are preferred, or (iii) which EEG/EMG is not possible.\n\nGraphical Abstract\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC=\"FIGDIR/small/794552v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (43K):\norg.highwire.dtl.DTLVardef@1b36cf3org.highwire.dtl.DTLVardef@b5fdc9org.highwire.dtl.DTLVardef@28a6dforg.highwire.dtl.DTLVardef@e39a5a_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗