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Multimodal assessment of language and memory reorganization: a proof of concept in two patients with drug‐resistant temporal lobe epilepsy
Author(s) -
Roger Elise,
Pichat Cédric,
Renard Félix,
Cousin Emilie,
PerroneBertolotti Marcela,
Hot Pascal,
Minotti Lorella,
Job AnneSophie,
Kahane Philippe,
Trebuchon Agnes,
Krainik Alexandre,
Baciu Monica
Publication year - 2019
Publication title -
epileptic disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.673
H-Index - 53
eISSN - 1950-6945
pISSN - 1294-9361
DOI - 10.1684/epd.2019.1092
Subject(s) - epilepsy , temporal lobe , psychology , neuroscience , cognitive psychology , computer science , natural language processing
Aims . We report two patients suffering from drug‐resistant temporal lobe epilepsy to show how their neuroplasticity can be apprehended using a multimodal, integrative and clinically relevant approach. Methods . This is a proof of concept based on using multimodal data including: (1) white matter structural connectivity (DTI) of the main tracts involved in language and memory; (2) neurophysiological biomarkers (fMRI‐BOLD signal and LI lateralization indices); and (3) cognitive scores as measured during the neuropsychological assessment. We characterized tri‐modal data for each patient using a descriptive integrative approach, in terms of reorganization and by comparing with a group of healthy participants. Conclusions . This proof of concept suggests that the inclusion of multimodal data in clinical studies is currently a major challenge. Since the various datasets obtained from MRI neuroimaging and cognitive scores are probably interrelated, it is important to go beyond the mono‐modal approach and move towards greater integration of several multimodal data. Multimodal integration of anatomical, functional, and cognitive data facilitates the identification of comprehensive neurocognitive patterns in epileptic patients, thus enabling clinicians to differentiate between reorganization profiles and help to predict post‐surgical outcomes for curative neurosurgery.