Multiple Coherence vs Multiple Component Synchrony Measure for somatosensory evoked response detection

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Somatosensory evoked potentials (SEPs) are crucial for assessing the integrity of the somatosensory nervous system.
• Accurate detection of SEPs, particularly from the tibial nerve, is essential for clinical diagnosis.
• Multivariate Objective Response Detection (MORD) techniques offer advanced methods for signal analysis.

Purpose of the Study:

• To compare the performance of two frequency-domain MORD techniques: Multiple Coherence (MC) and Multiple Component Synchrony Measure (MCSM).
• To evaluate these techniques for detecting tibial nerve SEPs.
• To determine which technique is more effective for SEP detection using electroencephalographic (EEG) data.

Main Methods:

• Collected EEG signals from 40 adult volunteers during tibial nerve stimulation.
• Applied current pulses (200 µs width) at 5 Hz to the right posterior tibial nerve.
• Utilized MC and MCSM techniques on EEG derivation pairs ([Cz][Fz] and [C3][C4]).
• Assessed response detection by rejecting the null hypothesis of absence (M=100, M=800 epochs, α=0.05).

Main Results:

• Multiple Coherence (MC) consistently outperformed the Multiple Component Synchrony Measure (MCSM).
• MC's superior performance was observed irrespective of the derivation pair used ([Cz][Fz] or [C3][C4]).
• The number of epochs (M=100 or M=800) did not alter MC's advantage over MCSM.

Conclusions:

• Multiple Coherence (MC) is a more effective MORD technique for tibial nerve SEP detection compared to MCSM.
• MC demonstrates robust performance across different derivation pairs and epoch counts.
• It is recommended to use MC for SEP recording when two derivations are available.