Neuromagnetic evidence of impaired cortical auditory processing in pediatric intractable epilepsy

Milena Korostenskaja, Maria Pardos, Hisako Fujiwara, Teija Kujala, Paul Horn, Douglas Rose, Anna Byars, David Brown, Joo Hee Seo, Yingying Wang, Jennifer Vannest, Jing Xiang, Ton DeGrauw, Risto Näätänen, Ki H. Lee

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Purpose: We aimed to determine the changes in neural correlates of auditory information processing such as auditory detection, encoding, and sensory discrimination in pediatric patients with intractable epilepsy. Methods: In this magnetoencephalography (MEG) study, 10 patients and 10 age- and gender-matched healthy controls were investigated with the multi-feature mismatch negativity (MMN) paradigm. Latencies and amplitudes of M100, M150, M200, and MMN event-related fields were evaluated. Results: All event-related fields in response to standard stimuli (M100, M150 and M200) and responses to occasional five deviant sounds, deviating from the standard stimuli either in duration, frequency, intensity, location, or by including a silent gap were reduced in amplitude in epilepsy patients compared with healthy controls. Conclusions: Our study suggests that auditory information processing is impaired in patients with drug-resistant epilepsy, being evident both in stimulus feature encoding (as reflected by changes of early event-related components, e.g., M100) and in cortical sound discrimination (as reflected by MMNm). The neural changes involving diminished M100 as well as MMNms for all five deviant sound types suggest wide-spread auditory information processing impairments in these patients.

Original languageEnglish (US)
Pages (from-to)63-73
Number of pages11
JournalEpilepsy Research
Issue number1
StatePublished - Nov 2010
Externally publishedYes


  • Auditory information processing
  • Cognitive deficits
  • Epilepsy
  • Event-related potentials (ERPs)
  • Magnetoencephalography (MEG)
  • Mismatch negativity (MMN)

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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