PMID- 34153069
OWN - NLM
STAT- MEDLINE
DCOM- 20211115
LR  - 20231107
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 16
IP  - 6
DP  - 2021
TI  - Muscle network topology analysis for the classification of chronic neck pain 
      based on EMG biomarkers extracted during walking.
PG  - e0252657
LID - 10.1371/journal.pone.0252657 [doi]
LID - e0252657
AB  - Neuromuscular impairments are frequently observed in patients with chronic neck 
      pain (CNP). This study uniquely investigates whether changes in neck muscle 
      synergies detected during gait are sensitive enough to differentiate between 
      people with and without CNP. Surface electromyography (EMG) was recorded from the 
      sternocleidomastoid, splenius capitis, and upper trapezius muscles bilaterally 
      from 20 asymptomatic individuals and 20 people with CNP as they performed 
      rectilinear and curvilinear gait. Intermuscular coherence was computed to 
      generate the functional inter-muscle connectivity network, the topology of which 
      is quantified based on a set of graph measures. Besides the functional network, 
      spectrotemporal analysis of each EMG was used to form the feature set. With the 
      use of Neighbourhood Component Analysis (NCA), we identified the most significant 
      features and muscles for the classification/differentiation task conducted using 
      K-Nearest Neighbourhood (K-NN), Support Vector Machine (SVM), and Linear 
      Discriminant Analysis (LDA) algorithms. The NCA algorithm selected features from 
      muscle network topology as one of the most relevant feature sets, which further 
      emphasize the presence of major differences in muscle network topology between 
      people with and without CNP. Curvilinear gait achieved the best classification 
      performance through NCA-SVM based on only 16 features (accuracy: 85.00%, 
      specificity: 81.81%, and sensitivity: 88.88%). Intermuscular muscle networks can 
      be considered as a new sensitive tool for the classification of people with CNP. 
      These findings further our understanding of how fundamental muscle networks are 
      altered in people with CNP.
FAU - Jimenez-Grande, David
AU  - Jimenez-Grande D
AD  - Centre of Precision Rehabilitation for Spinal Pain, School of Sport, Exercise and 
      Rehabilitation Sciences, College of Life and Environmental Sciences, University 
      of Birmingham, Edgbaston, Birmingham, United Kingdom.
FAU - Atashzar, S Farokh
AU  - Atashzar SF
AUID- ORCID: 0000-0001-8495-8440
AD  - Electrical & Computer Engineering as well as Mechanical & Aerospace Engineering, 
      New York University, New York City, New York, United States of America.
FAU - Martinez-Valdes, Eduardo
AU  - Martinez-Valdes E
AD  - Centre of Precision Rehabilitation for Spinal Pain, School of Sport, Exercise and 
      Rehabilitation Sciences, College of Life and Environmental Sciences, University 
      of Birmingham, Edgbaston, Birmingham, United Kingdom.
FAU - Falla, Deborah
AU  - Falla D
AUID- ORCID: 0000-0003-1689-6190
AD  - Centre of Precision Rehabilitation for Spinal Pain, School of Sport, Exercise and 
      Rehabilitation Sciences, College of Life and Environmental Sciences, University 
      of Birmingham, Edgbaston, Birmingham, United Kingdom.
LA  - eng
PT  - Journal Article
PT  - Observational Study
DEP - 20210621
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Adult
MH  - Algorithms
MH  - Chronic Pain/classification/diagnosis/*physiopathology
MH  - Electromyography/*methods
MH  - Female
MH  - Gait/physiology
MH  - Humans
MH  - Male
MH  - Models, Theoretical
MH  - Musculoskeletal System/physiopathology
MH  - Neck Muscles/*physiopathology
MH  - Neck Pain/classification/diagnosis/*physiopathology
MH  - Paraspinal Muscles/physiopathology
MH  - Superficial Back Muscles/physiopathology
MH  - *Support Vector Machine
MH  - Walking/*physiology
MH  - Young Adult
PMC - PMC8216529
COIS- The authors have declared that no competing interests exist.
EDAT- 2021/06/22 06:00
MHDA- 2021/11/16 06:00
PMCR- 2021/06/21
CRDT- 2021/06/21 17:26
PHST- 2021/01/08 00:00 [received]
PHST- 2021/05/19 00:00 [accepted]
PHST- 2021/06/21 17:26 [entrez]
PHST- 2021/06/22 06:00 [pubmed]
PHST- 2021/11/16 06:00 [medline]
PHST- 2021/06/21 00:00 [pmc-release]
AID - PONE-D-21-00750 [pii]
AID - 10.1371/journal.pone.0252657 [doi]
PST - epublish
SO  - PLoS One. 2021 Jun 21;16(6):e0252657. doi: 10.1371/journal.pone.0252657. 
      eCollection 2021.