Evaluation of functional magnetic resonance imaging in the identification of presurgical epileptic zones comparison between conventional and advanced techniques in patients with drug-refractory epilepsy: a systematic review

Authors

  • Luisana Darionara Maldonado De Santiago Medicine Department, Hospital de lota, Chile
  • Maria Luisa Guerrero Jiménez Department of Medicine, Facultad de Ciencias Médicas y Biológicas, Mexico
  • Jennifer Marisol Cayambe Quilligana Department of Medicine, Universidad Técnica de Ambato, Ecuador
  • Dario Javier Caguate Miranda Department of Medicine, Universidad de las Americas, Quito, Ecuador
  • Iveth Melissa Valencia Sola Department of Medicine, Universidad de las Americas, Quito, Ecuador
  • John Jairo Salgado Calderon Department of Medicine, Universidad de las Americas, Quito, Ecuador
  • Andrea Blanco Silva Department of Anaesthesiology, Instituto Mexicano del Seguro Social, México
  • Elias David Suarez Vasquez Department of Medicine, Clinica IMAT Oncomedica Auna, Colombia

DOI:

https://doi.org/10.18203/2320-6012.ijrms20251028

Keywords:

Epilepsy, Refractory, Magnetic resonance imaging, Presurgical evaluation, Electroencephalography, Artificial intelligence

Abstract

Drug-refractory epilepsy (DRE) is a significant clinical challenge when conventional treatments are ineffective. Localization of epileptic zones is essential for successful surgery but conventional techniques such as scalp EEG, PET and structural MRI are usually ineffective, particularly in MRI-negative cases. Functional MRI (fMRI) has emerged as a valuable tool for presurgical assessment by offering information on seizure networks and functional connectivity. This systematic review evaluates the efficacy of traditional and novel fMRI methods in identifying epileptogenic areas and enhancing surgical outcomes. Traditional fMRI with task-based paradigms assists in mapping cerebral functions but is constrained by patient compliance and inability to detect deeply seated foci. Novel techniques like resting-state fMRI (rs-fMRI) EEG-fMRI fusion and analysis aided by AI provide greater spatial and temporal resolution for better epileptic network localisation. These methods are of use for MRI-negative patients and those patients with motor or cognitive deficits. Advanced fMRI techniques, though, require a lot of computational power and skill which can limit their application. Through consideration of the literature, this paper indicates the advantages and limitations of each technique and emphasizes the value of the integration of multiple methods to enhance presurgical planning. The results indicate that improved fMRI techniques have the potential to increase the success of surgery and enhance patients' quality of life with DRE. The research should further improve these techniques so that they are more accessible and feasible for use in clinics.

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Published

2025-04-08

How to Cite

Santiago, L. D. M. D., Jiménez, M. L. G., Quilligana, J. M. C., Miranda, D. J. C., Sola, I. M. V., Calderon, J. J. S., Silva, A. B., & Vasquez, E. D. S. (2025). Evaluation of functional magnetic resonance imaging in the identification of presurgical epileptic zones comparison between conventional and advanced techniques in patients with drug-refractory epilepsy: a systematic review. International Journal of Research in Medical Sciences, 13(5), 2059–2065. https://doi.org/10.18203/2320-6012.ijrms20251028

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Section

Systematic Reviews