Random walks on B distributed resting-state functional connectivity to identify Alzheimer's disease and Mild Cognitive Impairment.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Published Date:

Abstract

OBJECTIVE: Resting-state functional connectivity reveals a promising way for the early detection of dementia. This study proposes a novel method to accurately classify Healthy Controls, Early Mild Cognitive Impairment, Late Mild Cognitive Impairment, and Alzheimer's Disease individuals.

Authors

  • Mohammadmahdi Rahimiasl
    Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Tehran, Iran. Electronic address: m.rahimiasl@modares.ac.ir.
  • Nasrollah Moghadam Charkari
    Faculty of Electrical & Computer Engineering,Tarbiat Modares University, Tehran, Iran. Electronic address: charkari@modares.ac.ir.
  • Foad Ghaderi
    Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Tehran, Iran. Electronic address: fghaderi@modares.ac.ir.