Spatial MEG Laterality maps for language: Clinical applications in epilepsy

Ryan C.N. D'Arcy, Timothy Bardouille, Aaron J. Newman, Sean R. Mcwhinney, Drew Debay, R. Mark Sadler, David B. Clarke, Michael J. Esser

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Functional imaging is increasingly being used to provide a noninvasive alternative to intracarotid sodium amobarbitol testing (i.e., the Wada test). Although magnetoencephalography (MEG) has shown significant potential in this regard, the resultant output is often reduced to a simplified estimate of laterality. Such estimates belie the richness of functional imaging data and consequently limit the potential value. We present a novel approach that utilizes MEG data to compute "complex laterality vectors" and consequently "laterality maps" for a given function. Language function was examined in healthy controls and in people with epilepsy. When compared with traditional laterality index (LI) approaches, the resultant maps provided critical information about the magnitude and spatial characteristics of lateralized function. Specifically, it was possible to more clearly define low LI scores resulting from strong bilateral activation, high LI scores resulting from weak unilateral activation, and most importantly, the spatial distribution of lateralized activation. We argue that the laterality concept is better presented with the inherent spatial sensitivity of activation maps, rather than being collapsed into a one-dimensional index. Hum Brain Mapp, 2013.

Original languageEnglish
Pages (from-to)1749-1760
Number of pages12
JournalHuman Brain Mapping
Volume34
Issue number8
DOIs
Publication statusPublished - Aug 2013

ASJC Scopus Subject Areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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