Automatic identification of successful memory encoding in stereo-EEG of refractory, mesial temporal lobe epilepsy

Afarin Famili, Gowtham Krishnan, Elizabeth Davenport, James Germi, Ben Wagner, Bradley Lega, Albert Montillo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Surgical resection of portions of the temporal lobe is the standard of care for patients with refractory mesial temporal lobe epilepsy. While this reduces seizures, it often results in an inability to form new memories, which leads to difficulties in social situations, learning, and suboptimal quality of life. Learning about the success or failure to form new memory in such patients is critical if we are to generate neuromodulation-based therapies. To this end, we tackle the many challenges in analyzing memory formation when their brains are recorded using stereoencephalography (sEEG) in a Free Recall task. Our contributions are threefold. First, we compute a rich measure of brain connectivity by computing the phase locking value statistic (synchrony) between pairs of regions, over hundreds of word memorization trials. Second, we leverage the rich information (over 400 values per pair of probed brain regions) to form consistent length feature vectors for classifier training. Third, we train and evaluate seven different types of classifier models and identify which ones achieve the highest accuracy and which brain features are most important for high accuracy. We assess our approach on data from 37 patients pre-resection surgery. We achieve up to 73% accuracy distinguishing successful from unsuccessful memory formation in the human brain from just 1.6 sec epochs of sEEG data.

Original languageEnglish (US)
Title of host publication2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PublisherIEEE Computer Society
Pages587-590
Number of pages4
ISBN (Electronic)9781509011711
DOIs
Publication statusPublished - Jun 15 2017
Event14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia
Duration: Apr 18 2017Apr 21 2017

Other

Other14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
CountryAustralia
CityMelbourne
Period4/18/174/21/17

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Keywords

  • Classification
  • Epilepsy
  • Phase synchrony
  • Stereo EEG

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Famili, A., Krishnan, G., Davenport, E., Germi, J., Wagner, B., Lega, B., & Montillo, A. (2017). Automatic identification of successful memory encoding in stereo-EEG of refractory, mesial temporal lobe epilepsy. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 587-590). [7950589] IEEE Computer Society. https://doi.org/10.1109/ISBI.2017.7950589