A Deep Learning Method for Prediction of Benign Epilepsy with Centrotemporal Spikes

Benign epilepsy with centrotemporal spikes (BECT) is the most common epilepsy in the children. The research of BECT mainly focuses on the comparative analysis of the BECT patients and the healthy controls. Different from the existing methods, we proposed a 3D convolution neural network (3DCNN) that directly predicts the disease of BECT from raw magnetic resonance imaging (MRI). The experiment shows our 3DCNN model get an \(89.80\%\) accuracy in the five-fold cross-validation evaluation which is over a large margin than the benchmark method.

[1]  A. Aarabi,et al.  EEG Resting State Functional Connectivity Analysis in Children with Benign Epilepsy with Centrotemporal Spikes , 2016, Front. Neurosci..

[2]  ChengXiang Zhai,et al.  DeepMeSH: deep semantic representation for improving large-scale MeSH indexing , 2016, Bioinform..

[3]  Charles Raybaud,et al.  Abnormal Neuroimaging in Patients with Benign Epilepsy with Centrotemporal Spikes , 2003, Epilepsia.

[4]  Orrin Devinsky,et al.  Sudden Unexpected Death in Epilepsy Among Patients With Benign Childhood Epilepsy With Centrotemporal Spikes , 2017, JAMA neurology.

[5]  Vivek Prabhakaran,et al.  Regional homogeneity (ReHo) changes in new onset versus chronic benign epilepsy of childhood with centrotemporal spikes (BECTS): A resting state fMRI study , 2015, Epilepsy Research.

[6]  Zhihua Li,et al.  Survey on encoding schemes for genomic data representation and feature learning - from signal processing to machine learning , 2018, Big Data Min. Anal..

[7]  Ronald M. Summers,et al.  A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations , 2014, MICCAI.

[8]  M. Beaussart,et al.  Benign Epilepsy of Children with Rolandic (Centro‐temporal) Paroxysmal Foci A Clinical Entity. Study of 221 Cases , 1972, Epilepsia.

[9]  Jack J. Lin,et al.  Cognition and brain development in children with benign epilepsy with centrotemporal spikes , 2015, Epilepsia.

[10]  C. Wadelius,et al.  Centrotemporal spikes in families with rolandic epilepsy , 1998, Neurology.

[11]  L. Nobili,et al.  Neuropsychological disorders related to interictal epileptic discharges during sleep in benign epilepsy of childhood with centrotemporal or Rolandic spikes. , 2001, Developmental medicine and child neurology.

[12]  U. Kramer,et al.  Benign childhood epilepsy with Centro-Temporal spikes (BCECTSs), electrical status epilepticus in sleep (ESES), and academic decline — How aggressive should we be? , 2015, Epilepsy & Behavior.

[13]  Peter Stoeter,et al.  EEG‐related Functional MRI in Benign Childhood Epilepsy with Centrotemporal Spikes , 2003, Epilepsia.

[14]  Karin Edebol Eeg-Olofsson,et al.  Neuropsychological findings in children with benign childhood epilepsy with centrotemporal spikes. , 1999 .

[15]  Thomas Brox,et al.  3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.

[16]  S. Boyd,et al.  Evidence for a neurophysiologic auditory deficit in children with benign epilepsy with centro-temporal spikes , 2006, Journal of Neural Transmission.