Skip to main content
Log in

Association of activities of daily living and cognitive function with thickness of the upper extremity muscles in children and adults with cerebral palsy

  • Original Article–orthopedics
  • Published:
Journal of Medical Ultrasonics Aims and scope Submit manuscript

Abstract

Purpose

We examined the association of activities of daily living (ADL) and cognitive function with the upper extremity muscle thickness and upper extremity range of motion (ROM) and spasticity in children and adults with cerebral palsy (CP).

Methods

The subjects were 20 children and adults with CP. The ADL performed using the upper extremities and cognitive function were assessed using the self-care domain of the Pediatric Evaluation of Disability Inventory (PEDI) and the full-scale intelligence quotient (FSIQ) of the Wechsler Intelligence Scale for Children, fourth edition (WISC-IV), respectively. The WISC-IV was assessed in only seven of 20 subjects able to undergo evaluation. The thickness of the upper extremity muscles was measured using an ultrasound imaging device. Moreover, ROM and spasticity of the upper extremities were assessed using the Modified Ashworth Scale (MAS). Manual manipulation ability was also assessed using the Manual Ability Classification System (MACS).

Results

Stepwise regression analysis revealed that the extensor digitorum muscle thickness and MACS level were significant and independent factors of self-care in the PEDI. Partial correlation analysis with MACS level and age as control variables showed that the FSIQ of the WISC-IV was significantly associated with the thickness of the anterior fibers of the deltoid and flexor digitorum superficialis muscles.

Conclusion

Reduced ADL performed using the upper extremities is associated with decreased extensor digitorum muscle thickness rather than ROM and spasticity of the upper extremities in children and adults with CP.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data availability

Not applicable.

Code availability

Not applicable.

References

  1. Christensen D, Van Naarden BK, Doernberg NS, et al. Prevalence of cerebral palsy, co-occurring autism spectrum disorders, and motor functioning - autism and developmental disabilities monitoring network, USA, 2008. Dev Med Child Neurol. 2014;56:59–65.

    Article  PubMed  Google Scholar 

  2. Graham HK, Rosenbaum P, Paneth N, et al. Cerebral palsy. Nat Rev Dis Primers. 2016;2:15082.

    Article  PubMed  Google Scholar 

  3. Van Eck M, Dallmeijer AJ, van Lith IS, et al. Manual ability and its relationship with daily activities in adolescents with cerebral palsy. J Rehabil Med. 2010;42:493–8.

    Article  PubMed  Google Scholar 

  4. Nieuwenhuijsen C, Donkervoort M, Nieuwstraten W, et al. Experienced problems of young adults with cerebral palsy: targets for rehabilitation care. Arch Phys Med Rehabil. 2009;90:1891–7.

    Article  PubMed  Google Scholar 

  5. James S, Ziviani J, Ware RS, et al. Relationships between activities of daily living, upper limb function, and visual perception in children and adolescents with unilateral cerebral palsy. Dev Med Child Neurol. 2015;57:852–7.

    Article  PubMed  Google Scholar 

  6. Benner JL, Hilberink SR, Veenis T, et al. Long-term deterioration of perceived health and functioning in adults with cerebral palsy. Arch Phys Med Rehabil. 2017;98:2196–205.

    Article  PubMed  Google Scholar 

  7. Miyatani M, Kanehisa H, Ito M, et al. The accuracy of volume estimates using ultrasound muscle thickness measurements in different muscle groups. Eur J Appl Physiol. 2004;91:264–72.

    Article  PubMed  Google Scholar 

  8. Fukumoto Y, Ikezoe T, Yamada Y, et al. Skeletal muscle quality assessed from echo intensity is associated with muscle strength of middle-aged and elderly persons. Eur J Appl Physiol. 2012;112:1519–25.

    Article  PubMed  Google Scholar 

  9. Ohata K, Tsuboyama T, Ichihashi N, et al. Measurement of muscle thickness as quantitative muscle evaluation for adults with severe cerebral palsy. Phys Ther. 2006;86:1231–9.

    Article  PubMed  Google Scholar 

  10. Moreau NG, Teefey SA, Damiano DL. In vivo muscle architecture and size of the rectus femoris and vastus lateralis in children and adolescents with cerebral palsy. Dev Med Child Neurol. 2009;51:800–6.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Moreau NG, Simpson KN, Teefey SA, et al. Muscle architecture predicts maximum strength and is related to activity levels in cerebral palsy. Phys Ther. 2010;90:1619–30.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Choe YR, Kim JS, Kim KH, et al. Relationship between functional level and muscle thickness in young children with cerebral palsy. Ann Rehabil Med. 2018;42:286–95.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Ohata K, Tsuboyama T, Haruta T, et al. Relation between muscle thickness, spasticity, and activity limitations in children and adolescents with cerebral palsy. Dev Med Child Neurol. 2008;50:152–6.

    Article  PubMed  Google Scholar 

  14. Feldman AB, Haley SM, Coryell J. Concurrent and construct validity of the pediatric evaluation of disability inventory. Phys Ther. 1990;70:602–10.

    Article  CAS  PubMed  Google Scholar 

  15. Berg M, Jahnsen R, Froslie KF, et al. Reliability of the Pediatric Evaluation of Disability Inventory (PEDI). Phys Occup Ther Pediatr. 2004;24:61–77.

    Article  PubMed  Google Scholar 

  16. Salavati M, Waninge A, Rameckers EA, et al. Reliability of the modified Paediatric Evaluation of Disability Inventory, Dutch version (PEDI-NL) for children with cerebral palsy and cerebral visual impairment. Res Dev Disabil. 2015;37:189–201.

    Article  CAS  PubMed  Google Scholar 

  17. Assouline SG, Foley Nicpon M, Dockery L. Predicting the academic achievement of gifted students with autism spectrum disorder. J Autism Dev Disord. 2012;42:1781–9.

    Article  PubMed  Google Scholar 

  18. Ishikawa H, Muraki T, Morise S, et al. Changes in stiffness of the dorsal scapular muscles before and after computer work: a comparison between individuals with and without neck and shoulder complaints. Eur J Appl Physiol. 2017;117:179–87.

    Article  PubMed  Google Scholar 

  19. Seol SJ, Cho H, Yoon DH, et al. Appropriate depth of needle insertion during rhomboid major trigger point block. Ann Rehabil Med. 2014;38:72–6.

    Article  PubMed  PubMed Central  Google Scholar 

  20. SENIAM Web site. Available at: http://www.seniam.org.

  21. Gorgey AS, Timmons MK, Michener LA, et al. Intra-rater reliability of ultrasound imaging of wrist extensor muscles in patients with tetraplegia. PM R. 2014;6:127–33.

    Article  PubMed  Google Scholar 

  22. Henzel MK, Munin MC, Niyonkuru C, et al. Comparison of surface and ultrasound localization to identify forearm flexor muscles for botulinum toxin injections. PM R. 2010;2:642–6.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Chapleau J, Canet F, Petit Y, et al. Validity of goniometric elbow measurements: comparative study with a radiographic method. Clin Orthop Relat Res. 2011;469:3134–40.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Bakheit AM, Maynard VA, Curnow J, et al. The relation between Ashworth scale scores and the excitability of the alpha motor neurones in patients with post-stroke muscle spasticity. J Neurol Neurosurg Psychiatry. 2003;74:646–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Eliasson AC, Krumlinde-Sundholm L, Rösblad B, et al. The Manual Ability Classification System (MACS) for children with cerebral palsy: scale development and evidence of validity and reliability. Dev Med Child Neurol. 2006;48:549–54.

    Article  PubMed  Google Scholar 

  26. Braendvik SM, Elvrum AK, Vereijken B, et al. Involuntary and voluntary muscle activation in children with unilateral cerebral palsy–relationship to upper limb activity. Eur J Paediatr Neurol. 2013;17:274–9.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The present study was supported by Japan Society for the Furukawa Medical & Welfare Foundation. The authors wish to thank all the individuals who participated in the present study.

Funding

On behalf of all the authors, the corresponding author states that there are no funding sources.

Author information

Authors and Affiliations

Authors

Contributions

All the authors conceived and designed the research. MM, YU, YI, KS, HI, FH, MO, ST, EM, and YK conducted the experiments. MM, YU, and HI analyzed the data. MM and YU wrote the manuscript. All the authors read and approved the manuscript.

Corresponding author

Correspondence to Mitsuhiro Masaki.

Ethics declarations

Conflict of interest

On behalf of all the authors, the corresponding author states that there are no conflicts of interest.

Ethical approval

All the procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Consent to participate

Informed consent was obtained from all individual participants included in the study.

Consent for publication

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Masaki, M., Uchikawa, Y., Iizuka, Y. et al. Association of activities of daily living and cognitive function with thickness of the upper extremity muscles in children and adults with cerebral palsy. J Med Ultrasonics 50, 245–252 (2023). https://doi.org/10.1007/s10396-023-01292-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10396-023-01292-0

Keywords

Navigation