PMID- 31597924
OWN - NLM
STAT- MEDLINE
DCOM- 20201030
LR  - 20210110
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 9
IP  - 1
DP  - 2019 Oct 9
TI  - Neurophysiological markers predicting recovery of standing in humans with chronic 
      motor complete spinal cord injury.
PG  - 14474
LID - 10.1038/s41598-019-50938-y [doi]
LID - 14474
AB  - The appropriate selection of individual-specific spinal cord epidural stimulation 
      (scES) parameters is crucial to re-enable independent standing with 
      self-assistance for balance in individuals with chronic, motor complete spinal 
      cord injury, which is a key achievement toward the recovery of functional 
      mobility. To date, there are no available algorithms that contribute to the 
      selection of scES parameters for facilitating standing in this population. Here, 
      we introduce a novel framework for EMG data processing that implements spectral 
      analysis by continuous wavelet transform and machine learning methods for 
      characterizing epidural stimulation-promoted EMG activity resulting in 
      independent standing. Analysis of standing data collected from eleven motor 
      complete research participants revealed that independent standing was promoted by 
      EMG activity characterized by lower median frequency, lower variability of median 
      frequency, lower variability of activation pattern, lower variability of 
      instantaneous maximum power, and higher total power. Additionally, the high 
      classification accuracy of assisted and independent standing allowed the 
      development of a prediction algorithm that can provide feedback on the 
      effectiveness of muscle-specific activation for standing promoted by the tested 
      scES parameters. This framework can support researchers and clinicians during the 
      process of selection of epidural stimulation parameters for standing motor 
      rehabilitation.
FAU - Mesbah, Samineh
AU  - Mesbah S
AD  - Kentucky Spinal Cord Injury Research Center, University of Louisville, 
      Louisville, Kentucky, USA.
AD  - Department of Electrical and Computer Engineering, University of Louisville, 
      Louisville, Kentucky, USA.
AD  - Department of Bioengineering, University of Louisville, Louisville, Kentucky, 
      USA.
FAU - Gonnelli, Federica
AU  - Gonnelli F
AD  - Kentucky Spinal Cord Injury Research Center, University of Louisville, 
      Louisville, Kentucky, USA.
AD  - Department of Medicine, University of Udine, Udine, Italy.
AD  - School of Sport Sciences, University of Udine, Udine, Italy.
FAU - Angeli, Claudia A
AU  - Angeli CA
AD  - Kentucky Spinal Cord Injury Research Center, University of Louisville, 
      Louisville, Kentucky, USA.
AD  - Frazier Rehab Institute, Kentucky One Health, Louisville, Kentucky, USA.
FAU - El-Baz, Ayman
AU  - El-Baz A
AD  - Department of Bioengineering, University of Louisville, Louisville, Kentucky, 
      USA.
FAU - Harkema, Susan J
AU  - Harkema SJ
AD  - Kentucky Spinal Cord Injury Research Center, University of Louisville, 
      Louisville, Kentucky, USA.
AD  - Frazier Rehab Institute, Kentucky One Health, Louisville, Kentucky, USA.
AD  - Department of Neurological Surgery, University of Louisville, Louisville, 
      Kentucky, USA.
FAU - Rejc, Enrico
AU  - Rejc E
AD  - Kentucky Spinal Cord Injury Research Center, University of Louisville, 
      Louisville, Kentucky, USA. enrico.rejc@louisville.edu.
AD  - Department of Neurological Surgery, University of Louisville, Louisville, 
      Kentucky, USA. enrico.rejc@louisville.edu.
LA  - eng
GR  - P30 GM103507/GM/NIGMS NIH HHS/United States
GR  - R01 EB007615/EB/NIBIB NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
DEP - 20191009
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
MH  - Adult
MH  - Algorithms
MH  - Electrodes, Implanted
MH  - Electromyography/statistics & numerical data
MH  - Epidural Space
MH  - Female
MH  - Fourier Analysis
MH  - Humans
MH  - Machine Learning
MH  - Male
MH  - Muscle, Skeletal/physiopathology
MH  - Range of Motion, Articular/physiology
MH  - Spinal Cord Injuries/*physiopathology/*rehabilitation
MH  - Spinal Cord Stimulation/*methods/statistics & numerical data
MH  - Standing Position
MH  - Wavelet Analysis
MH  - Young Adult
PMC - PMC6785550
COIS- The authors declare no competing interests.
EDAT- 2019/10/11 06:00
MHDA- 2020/10/31 06:00
PMCR- 2019/10/09
CRDT- 2019/10/11 06:00
PHST- 2019/05/24 00:00 [received]
PHST- 2019/09/20 00:00 [accepted]
PHST- 2019/10/11 06:00 [entrez]
PHST- 2019/10/11 06:00 [pubmed]
PHST- 2020/10/31 06:00 [medline]
PHST- 2019/10/09 00:00 [pmc-release]
AID - 10.1038/s41598-019-50938-y [pii]
AID - 50938 [pii]
AID - 10.1038/s41598-019-50938-y [doi]
PST - epublish
SO  - Sci Rep. 2019 Oct 9;9(1):14474. doi: 10.1038/s41598-019-50938-y.