Applying Spike-density component analysis for high-accuracy auditory event-related potentials in children

Silvia Elisabetta Portis Bruzzone*, Niels Trusbak Haumann*, Marina Kliuchko, Peter Vuust, Elvira Brattico

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review


Overlapping neurophysiological signals are the main obstacle preventing from using cortical auditory event-related potentials (AEPs) in clinical settings. Children AEPs are particularly affected by this problem, as their cerebral cortex is still maturing. To overcome this problem, we applied a new version of Spike-density Component Analysis (SCA), an analysis method recently developed, to isolate with high accuracy the neural components of auditory responses of 8-year-old children.

Electroencephalography was used with 33 children to record AEPs to auditory stimuli varying in spectrotemporal features. Three different analysis approaches were adopted: the standard AEP analysis procedure, SCA with template-match (SCA-TM), and SCA with half-split average consistency (SCA-HSAC).

SCA-HSAC most successfully allowed the extraction of AEPs for each child, revealing that the most consistent components were P1 and N2. An immature N1 component was also detected.

Superior accuracy in isolating neural components at the individual level was demonstrated for SCA-HSAC over other SCA approaches even for children AEPs.

Reliable methods of extraction of neurophysiological signals at the individual level are crucial for the application of cortical AEPs for routine diagnostic exams in clinical settings both in children and adults.
Original languageEnglish
JournalClinical Neurophysiology
Pages (from-to)1887-1896
Number of pages10
Publication statusPublished - Aug 2021


  • Auditory event-related potentials (AEP)
  • Children
  • Cortical maturation
  • ERP (event-related potential)
  • Spike-density component analysis (SCA)


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