Predicting novel histopathological microlesions in human epileptic brain through transcriptional clustering

Brain. 2015 Feb;138(Pt 2):356-70. doi: 10.1093/brain/awu350. Epub 2014 Dec 16.

Abstract

Although epilepsy is associated with a variety of abnormalities, exactly why some brain regions produce seizures and others do not is not known. We developed a method to identify cellular changes in human epileptic neocortex using transcriptional clustering. A paired analysis of high and low spiking tissues recorded in vivo from 15 patients predicted 11 cell-specific changes together with their 'cellular interactome'. These predictions were validated histologically revealing millimetre-sized 'microlesions' together with a global increase in vascularity and microglia. Microlesions were easily identified in deeper cortical layers using the neuronal marker NeuN, showed a marked reduction in neuronal processes, and were associated with nearby activation of MAPK/CREB signalling, a marker of epileptic activity, in superficial layers. Microlesions constitute a common, undiscovered layer-specific abnormality of neuronal connectivity in human neocortex that may be responsible for many 'non-lesional' forms of epilepsy. The transcriptional clustering approach used here could be applied more broadly to predict cellular differences in other brain and complex tissue disorders.

Keywords: epilepsy genetics; epilepsy surgery; localization-related epilepsy; refractory epilepsy; transcriptomics.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Biomarkers
  • Brain / pathology*
  • Child
  • Child, Preschool
  • Cluster Analysis
  • Electroencephalography
  • Epilepsy / pathology*
  • Epilepsy / surgery
  • Female
  • Humans
  • Infant
  • Male
  • Microarray Analysis
  • Middle Aged
  • Neocortex / pathology
  • Neurosurgical Procedures
  • RNA / genetics
  • Transcription, Genetic*
  • Young Adult

Substances

  • Biomarkers
  • RNA