Motor cortex representation of deep and superficial neck flexor muscles in individuals with and without neck pain

Edith Elgueta-Cancino, Welber Marinovic, Gwendolen Jull, Paul W. Hodges

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

10 Citas (Scopus)

Resumen

Sensorimotor control of neck muscles differs between individuals with and without pain. Differences in the primary motor cortex (M1) maps of these muscles may be involved. This study compared M1 representations of deep (DNF) and superficial (SNF) neck flexor muscles between 10 individuals with neck pain (NP) and 10 painfree controls. M1 organisation was studied using transcranial magnetic stimulation (TMS) applied to a grid over the skull and surface electromyography of DNF (pharyngeal electrode) and SNF. Three-dimensional maps of M1 representation of each muscle were generated. Peaks in the SNF map that represented the sternocleidomastoid (SCM) and platysma muscles were identified. Unique centre of gravity (CoG)/map peaks were identified for the three muscles. In comparison to painfree controls, NP participants had more medial location of the CoG/peak of DNF, SCM, and platysma, greater mediolateral variation in DNF CoG (p = 0.02), fewer SNF and DNF map peaks (p = 0.01). These data show that neck flexor muscle M1 maps relate to trunk, neck, and face areas of the motor homunculus. Differences in M1 representation in NP have some similarities and some differences with observations for other musculoskeletal pain conditions. Despite the small sample size, our data did reveal differences and is comparable to other similar studies. The results of this study should be interpreted with consideration of methodological issues.

Idioma originalInglés
Páginas (desde-hasta)2759-2770
Número de páginas12
PublicaciónHuman Brain Mapping
Volumen40
N.º9
DOI
EstadoPublicada - 15 jun. 2019
Publicado de forma externa

Áreas temáticas de ASJC Scopus

  • Anatomía
  • Tecnología radiológica y de ultrasonidos
  • Radiología, medicina nuclear y obtención de imágenes
  • Neurología
  • Neurología clínica

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