Machine learning identifies "rsfMRI epilepsy networks" in temporal lobe epilepsy.

Journal: European radiology
PMID:

Abstract

OBJECTIVES: Experimental models have provided compelling evidence for the existence of neural networks in temporal lobe epilepsy (TLE). To identify and validate the possible existence of resting-state "epilepsy networks," we used machine learning methods on resting-state functional magnetic resonance imaging (rsfMRI) data from 42 individuals with TLE.

Authors

  • Rose Dawn Bharath
    Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka 560029, India; Advanced Brain Imaging Facility, Cognitive Neuroscience Centre, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka 560029, India. Electronic address: cns.researchers@gmail.com.
  • Rajanikant Panda
    Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka 560029, India; Advanced Brain Imaging Facility, Cognitive Neuroscience Centre, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka 560029, India.
  • Jeetu Raj
    Department of Computer Science, Indian Institute of Technology Delhi, New Delhi, Delhi, 110016, India.
  • Sujas Bhardwaj
    Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka 560029, India; Advanced Brain Imaging Facility, Cognitive Neuroscience Centre, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka 560029, India.
  • Sanjib Sinha
    Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka 560029, India.
  • Ganne Chaitanya
    Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, 560029, India.
  • Kenchaiah Raghavendra
    Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, 560029, India.
  • Ravindranadh C Mundlamuri
    Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka 560029, India.
  • Arivazhagan Arimappamagan
    Neurosurgery, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, 560029, India.
  • Malla Bhaskara Rao
    Neurosurgery, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, 560029, India.
  • Jamuna Rajeshwaran
    Neuropsychology, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, 560029, India.
  • Kandavel Thennarasu
    Biostatistics, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, 560029, India.
  • Kaushik K Majumdar
    Systems Science and Informatics Unit, Indian Statistical Institute, Bangalore, Karnataka 560059, India.
  • Parthasarthy Satishchandra
    Neurosurgery, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, 560029, India.
  • Tapan K Gandhi
    Department of Electrical Engineering, Indian Institute of Technology Delhi, (IIT-D), New Delhi, Delhi, 110016, India. cns.researchers1@gmail.com.