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Epilepsia. 2011 Sep;52(9):1733-40. doi: 10.1111/j.1528-1167.2011.03191.x. Epub 2011 Jul 29.

Functional MRI connectivity as a predictor of the surgical outcome of epilepsy.

Author information

  • 1Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, Connecticut 06520-8043, USA. michiro.negishi@yale.edu

Abstract

PURPOSE:

In planning epilepsy surgery, it is important to be able to assess the likelihood of success of surgery for each patient so that the possible risk and benefit can be properly considered. In this study, functional connectivity was investigated as a means for predicting surgical outcome from the preoperative functional magnetic resonance imaging (fMRI) of epilepsy patients.

METHODS:

Resting-state simultaneous electroencephalography (EEG)-fMRI data were collected from 18 patients with intractable epilepsy before surgery and from 14 healthy subjects. For each patient, EEG-spike correlated fMRI analysis was performed and an activation cluster that overlapped the most with the planned resection area for each patient was chosen as the seed for the functional connectivity analysis. After the functional connectivity maps were computed, laterality indices of functional connectivity were contrasted between patients who had seizures after surgeries (seizure-recurrence group) and those who did not have them for at least a year (seizure-free group).

KEY FINDINGS:

Patients in the seizure-recurrence group had less-lateralized functional connectivity than patients in the seizure-free group (t(16) = 2.3, after control subtracted and Fisher transformed, p < 0.05, two-tailed).

SIGNIFICANCE:

This study suggests the potential for using preoperative fMRI connectivity analysis as a predictive outcome measure. If confirmed by further research, a high laterality will be an important addition to the other predictors of better surgical outcome such as febrile seizures, mesial temporal sclerosis, tumors, abnormal MRI, and EEG/MRI concordance.

Wiley Periodicals, Inc. © 2011 International League Against Epilepsy.

PMID:
21801165
[PubMed - indexed for MEDLINE]
PMCID:
PMC3169719
Free PMC Article
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