Structural brain changes in medically refractory focal epilepsy resemble premature brain aging

Heath R. Pardoe, James H. Cole, Karen Blackmon, Thomas Thesen, Ruben Kuzniecky, for the Human Epilepsy Project Investigators

Research output: Contribution to journalArticleResearchpeer-review

60 Citations (Scopus)

Abstract

Objective We used whole brain T1-weighted MRI to estimate the age of individuals with medically refractory focal epilepsy, and compared with individuals with newly diagnosed focal epilepsy and healthy controls. The difference between neuroanatomical age and chronological age was compared between the three groups. Methods Neuroanatomical age was estimated using a machine learning-based method that was trained using structural MRI scans from a large independent healthy control sample (N = 2001). The prediction model was then used to estimate age from MRI scans obtained from newly diagnosed focal epilepsy patients (N = 42), medically refractory focal epilepsy patients (N = 94) and healthy controls (N = 74). Results Individuals with medically refractory epilepsy had a difference between predicted brain age and chronological age that was on average 4.5 years older than healthy controls (p = 4.6 × 10−5). No significant differences were observed in newly diagnosed focal epilepsy. Earlier age of onset was associated with an increased brain age difference in the medically refractory group (p = 0.034). Significance Medically refractory focal epilepsy is associated with structural brain changes that resemble premature brain aging.

Original languageEnglish
Pages (from-to)28-32
Number of pages5
JournalEpilepsy Research
Volume133
DOIs
Publication statusPublished - 1 Jul 2017
Externally publishedYes

Keywords

  • Machine learning
  • Neuroimaging
  • Seizures

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