Abstract
Epilepsy is a common neurological disorder characterized by recurrent and disabling seizures. An increasing number of clinical and experimental applications of machine learning (ML) methods for epilepsy and other neurological and psychiatric disorders are available. ML methods have the potential to provide a reliable and optimal performance for clinical diagnoses, prediction, and personalized medicine by using mathematical algorithms and computational approaches. There are now several applications of ML for epilepsy, including neuroimaging analyses. For precise and reliable clinical applications in epilepsy and neuroimaging, the diverse ML methodologies should be examined and validated. We review the clinical applications of ML models for brain imaging in epilepsy obtained from a PubMed database search in February 2021. We first present an overview of typical neuroimaging modalities and ML models used in the epilepsy studies and then focus on the existing applications of ML models for brain imaging in epilepsy based on the following clinical aspects: (i) distinguishing individuals with epilepsy from healthy controls, (ii) lateralization of the temporal lobe epilepsy focus, (iii) the identification of epileptogenic foci, (iv) the prediction of clinical outcomes, and (v) brain-age prediction. We address the practical problems and challenges described in the literature and suggest some future research directions.
Highlights
Machine learning (ML) is an emerging trend in medicine including the fields of neurology and epileptology
We provide a comprehensive review of the state-of-the-art ML models for epilepsy in clinical settings
We considered the following clinical aspects related to applications of ML models for brain imaging in the field of epilepsy: (i) the differentiation of individuals with epilepsy from healthy controls, (ii) the lateralization of the temporal lobe epilepsy focus, (iii) identifying the epileptogenic foci, (iv) the prediction of clinical outcomes, and (v) brain-age estimation
Summary
Machine learning (ML) is an emerging trend in medicine including the fields of neurology and epileptology.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have