Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.

Journal: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

PMID: 26346404

Abstract

BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).

Authors

Kouhei Kamiya

Department of Radiology, The University of Tokyo.
Shiori Amemiya
Yuichi Suzuki
Naoto Kunii
Kensuke Kawai
Harushi Mori
Akira Kunimatsu
Nobuhito Saito
Shigeki Aoki
Kuni Ohtomo

Keywords

Adult Brain Case-Control Studies Connectome Diffusion Tensor Imaging Epilepsy, Temporal Lobe Female Frontal Lobe Globus Pallidus Gyrus Cinguli Hippocampus Humans Imaging, Three-Dimensional Machine Learning Male Middle Aged Nucleus Accumbens Occipital Lobe Retrospective Studies Support Vector Machine Temporal Lobe Young Adult

External Resources

View on PubMed Access via DOI PubMed (26346404)

Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.

Abstract

Authors

Keywords

External Resources

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