High-density electrospinography reveals altered high-frequency oscillations at cervical spinal levels in Multiple Sclerosis: Towards a marker of spinal dysfunction

Neurophysiological Bases of Human Movement 2025 (King’s College London, UK) (2025) Proc Physiol Soc 67, C06

Oral Communications: High-density electrospinography reveals altered high-frequency oscillations at cervical spinal levels in Multiple Sclerosis: Towards a marker of spinal dysfunction

Prabhav Mehra1, Helene Arnold1, Saroj Bista1, Marjorie Metzger1, Rosie Giglia1, Serena Plaitano1, Matthew Mitchell1, Peter Bede1, Muthuraman Muthuraman2, Madeleine Lowery3, Orla Hardiman4, Hugh Kearney5, Bahman Nasseroleslami1

1Trinity College Dublin Ireland, 2University of Augsburg Germany, 3University College Dublin Ireland, 4Beaumont Hospital, Dublin Ireland, 5St James’s Hospital, Dublin Ireland

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Background:

Electrophysiological techniques have been widely used to study the functional mechanisms of the brain’s sensory-motor networks in both health and neurodegeneration. However, such assessments of spinal cord activity remain highly challenging and underexplored. This gap is concerning, considering that cervical spinal degeneration[1] is a key clinical indicator of disease severity and future disability in neurological conditions such as Multiple Sclerosis (MS)[2].

To address this gap, our team recently developed a standardised high-density electrospinography (HD-ESG) system (SC10X/U)[3], an up to 76-channel platform designed to reliably record spinal cord electrical activity and enable assessment of spinal function. This is especially relevant in conditions like MS, which features a clinico-radiological paradox, i.e., changes in structural spinal MRI measures, such as atrophy, fail to predict or correlate with disability progression despite strong clinical evidence of spinal involvement.

Objective:

Here, we used HD-ESG to quantify signatures of spinal High-frequency oscillations (HFOs) in response to the median nerve stimulation (MNS), in MS. HFOs are a measure of localised synchronous presynaptic neural activity[4], [5], reflective of functional integrity. To our knowledge, this is the first study to investigate spinal-HFO responses in people with MS (pwMS).

Methodology:

64-channel ESG[3] was recorded in response to the stimulation (right wrist, 1.5 X Motor Threshold, 2Hz) from 14 pwMS and 18 controls. A total of 1400 evoked responses were recorded per participant. Signals were pre-processed and bandpass filtered between 350- 1400 Hz. The evoked HFO (phase-locked) responses were obtained by averaging the resulting signals across all responses.

Temporal HFO characteristics were compared between groups using the Mann-Whitney U test with adaptive false discovery rate (q = 0.05). Characteristics include: onset latency, peak latency, and normalised peak amplitude (Peakamp).

Results:

A highly lateralised (p < 0.05) evoked HFOs were observed at lower cervical levels, with the maximum response observed at the LL8 electrode (C6 vertebral level (Cv6): right-lateral channel) for both groups [pwMS: 0.26 ± 0.11, controls: 0.4 ± 0.2]. The observed Peakamp at the LL8 electrode was significantly lower in pwMS (p = 0.021). No significant differences were observed for onset or peak latency.

During the 8-15 ms post-stimulation period, both groups demonstrated broadband activity between 400-600 Hz at lower cervical levels. However, this activity was significantly reduced in the pwMS.

Discussion:

This first-of-its-kind study reveals specific disease-relevant alterations in pwMS, highlighting the potential of HD-ESG-based investigations towards a viable marker of spinal dysfunction. The reduction in peak HFO amplitude likely reflects temporal dispersion due to demyelination in MS[6], indicative of impaired cervical spinal integrity. A similar decrease in HFO amplitude has previously been reported at the somatosensory cortex in pwMS[6]. Our findings indicate that these alterations are detectable even at the cervical spinal level, suggesting that HFO-alterations may represent a signature of network-level dysfunction.



Where applicable, experiments conform with Society ethical requirements.

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