>
Fa   |   Ar   |   En
   Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery  
   
نویسنده philips g.r. ,daly j.j. ,príncipe j.c.
منبع journal of neuroengineering and rehabilitation - 2017 - دوره : 14 - شماره : 1
چکیده    Background: biomarkers derived from neural activity of the brain present a vital tool for the prediction and evaluation of post-stroke motor recovery,as well as for real-time biofeedback opportunities. methods: in order to encapsulate recovery-related reorganization of brain networks into such biomarkers,we have utilized the generalized measure of association (gma) and graph analyses,which include global and local efficiency,as well as hemispheric interdensity and intradensity. these methods were applied to electroencephalogram (eeg) data recorded during a study of 30 stroke survivors (21 male,mean age 57.9 years,mean stroke duration 22.4 months) undergoing 12 weeks of intensive therapeutic intervention. results: we observed that decreases of the intradensity of the unaffected hemisphere are correlated (r s =-0.46;p<0.05) with functional recovery,as measured by the upper-extremity portion of the fugl-meyer assessment (fmue). in addition,high initial values of local efficiency predict greater improvement in fmue (r 2=0.16;p<0.05). in a subset of 17 subjects possessing lesions of the cerebral cortex,reductions of global and local efficiency,as well as the intradensity of the unaffected hemisphere are found to be associated with functional improvement (r s =-0.60,-0.66,-0.75;p<0.05). within the same subgroup,high initial values of global and local efficiency,are predictive of improved recovery (r 2=0.24,0.25;p<0.05). all significant findings were specific to the 12.5-25 hz band. conclusions: these topological measures show promise for prognosis and evaluation of therapeutic outcomes,as well as potential application to bci-enabled biofeedback. © 2017 the author(s).
کلیدواژه Electroencephalography (EEG); Functional connectivity; Generalized measure of association (GMA); Graph theory; Plasticity; Rehabilitation; Stroke
آدرس computational neuroengineering laboratory,department of electrical and computer engineering,university of florida,gainesville,fl, United States, department of neurology,university of florida,gainesville,fl,united states,malcolm randall va medical center,gainesville,fl, United States, computational neuroengineering laboratory,department of electrical and computer engineering,university of florida,gainesville,fl, United States
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved