Skip to main content

Advertisement

Log in

Fasciculation score: a sensitive biomarker in amyotrophic lateral sclerosis

  • Original Article
  • Published:
Neurological Sciences Aims and scope Submit manuscript

Abstract

Objective

The aim of our study was to elucidate the characteristic of fasciculation distributions in amyotrophic lateral sclerosis (ALS) using a fasciculation score (FS) of muscle ultrasound (MUS) and to compare the diagnostic values of three MUS fasciculation parameters in patients.

Methods

Thirty ALS patients, 16 ALS mimics, and 10 healthy subjects were involved. MUS of unilateral 10 muscles in each patient and needle electromyography (EMG) of total 204 muscles were performed to detect fasciculations and spontaneous activity respectively in ALS. Control groups underwent only MUS. Fasciculation was graded semiquantitatively with FS.

Results

Three hundred fifty muscles in ALS and 260 in controls were examined. The fasciculation detection rates, total FS, the number of muscles with fasciculation, and the total number of fasciculations in ALS were all significantly higher than those of controls (P < 0.001). ALS patients exhibited a multifocal continuous pattern of fasciculation in limbs, whereas there were few fasciculations in controls. Compared with other parameters, total FS had the largest area under the curve (AUC) (AUC = 0.899, P < 0.001) in ALS diagnosis. The detection rates of lower motor neuron (LMN) acute lesions by MUS (70.6%) and EMG (72.1%) were nearly the same, and a positive correlation between the FS and spontaneous activity grades (P < 0.001, r = 0.359) was proved.

Conclusions

ALS patients exhibited the multifocal continuous pattern of fasciculation in limbs. FS showed high sensitivity and specificity in differentiating ALS from non-ALS patients, and the optimal cut-off value was determined as 4. The combination of MUS and EMG can provide additional information about specific muscles.

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
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Grimm A, Prell T, Décard BF, Schumacher U, Witte OW, Axer H, Grosskreutz J (2015) Muscle ultrasonography as an additional diagnostic tool for the diagnosis of amyotrophic lateral sclerosis. Clin Neurophysiol 126(4):820–827. https://doi.org/10.1016/j.clinph.2014.06.052

    Article  CAS  PubMed  Google Scholar 

  2. Misawa S, Noto Y, Shibuya K, Isose S, Sekiguchi Y, Nasu S, Kuwabara S (2011) Ultrasonographic detection of fasciculations markedly increases diagnostic sensitivity of ALS. Neurology 77(16):1532–1537. https://doi.org/10.1212/WNL.0b013e318233b36a

    Article  CAS  PubMed  Google Scholar 

  3. Benjamin R, Brooks (1994) “El escorial World Federation of Neurology criteria for the diagnosis of amyotrophic lateral sclerosis,” J Neurol Sci

  4. Juan W, Fang L, Qi W, Jing M, Shan H, Jing Z, Xueli C, Wei Z, Junhong G (2020) Muscle ultrasonography in the diagnosis of amyotrophic lateral sclerosis. Neurol Res 42(6):458–462. https://doi.org/10.1080/01616412.2020.1738100

    Article  PubMed  Google Scholar 

  5. de Carvalho M, Dengler R, Eisen A, England JD, Kaji R, Kimura J, Mills K, Mitsumoto H, Nodera H, Shefner J, Swash M (2008) Electrodiagnostic criteria for diagnosis of ALS. Clin Neurophysiol 119(3):497–503. https://doi.org/10.1016/j.clinph.2007.09.143

    Article  PubMed  Google Scholar 

  6. Chiò A (1999) ISIS Survey: an international study on the diagnostic process and its implications in amyotrophic lateral sclerosis. J Neurol 246(3):III1–III5

    Article  PubMed  Google Scholar 

  7. Hardiman et al. (2011) “Clinical diagnosis and management of amyotrophic lateral sclerosis.,” Nat Rev Neurol

  8. De Carvalho M, Kiernan MC, Swash M (2017) Fasciculation in amyotrophic lateral sclerosis: origin and pathophysiological relevance. J Neurol Neurosurg Psychiatry 88(9):773–779. https://doi.org/10.1136/jnnp-2017-315574

    Article  PubMed  Google Scholar 

  9. de Carvalho M, Swash M (1998) Fasciculation potentials: a study of amyotrophic lateral sclerosis and other neurogenic disorders. Muscle Nerve 21(3):336–344. https://doi.org/10.1002/(sici)1097-4598(199803)21:3<336::aid-mus7>3.3.co;2-5

    Article  PubMed  Google Scholar 

  10. De Carvalho M, Swash M (2013) Fasciculation potentials and earliest changes in motor unit physiology in ALS. J Neurol Neurosurg Psychiatry 84(9):963–968. https://doi.org/10.1136/jnnp-2012-304545

    Article  PubMed  Google Scholar 

  11. Traynor (2000) Clinical features of amyotrophic lateral sclerosis according to the El Escorial and Airlie house diagnostic criteria: a population-based study (vol 57, pg 1171, 2000). JAMA Neurol 57(12):1741

    Google Scholar 

  12. Makki AA, Benatar M (2007) The electromyographic diagnosis of amyotrophic lateral sclerosis: does the evidence support the El Escorial criteria? Muscle Nerve 35(5):614–619

    Article  PubMed  Google Scholar 

  13. Shimizu T, Fujimaki Y, Nakatani-Enomoto S, Matsubara S, Watabe K, Rossini PM, Ugawa Y (2014) Complex fasciculation potentials and survival in amyotrophic lateral sclerosis. Clin Neurophysiol 125(5):1059–1064

    Article  PubMed  Google Scholar 

  14. Reimers CD, Ziemann U, Scheel A, Rieckmann P, Kurth C (1996) Fasciculations: clinical, electromyographic, and ultrasonographic assessment. J Neurol 243(8):579–584

    Article  CAS  PubMed  Google Scholar 

  15. Bokuda K, Shimizu T, Kimura H, Morishima R, Kamiyama T, Kawata A, Nakayama Y, Isozaki E (2020) Relationship between EMG-detected and ultrasound-detected fasciculations in amyotrophic lateral sclerosis: a prospective cohort study. Clin Neurophysiol 131(1):259–264. https://doi.org/10.1016/j.clinph.2019.08.017

    Article  PubMed  Google Scholar 

  16. Tremolizzo L, Susani E, Aliprandi A, Salmaggi A, Ferrarese C, Appollonio I (2014) Muscle ultrasonography for detecting fasciculations in frontotemporal dementia. Amyotroph Lateral Scler Front Degener 15(7–8):546–550. https://doi.org/10.3109/21678421.2014.913636

    Article  Google Scholar 

  17. Carvalho D, Bentes C, Teresinh, Mamede (1999) Fibrillation and sharp-waves: do we need them to diagnose ALS? Amyotroph Lateral Scler Other Mot Neuron Disord 1(1):29–32

    Google Scholar 

  18. O’gorman CM et al (2017) Detecting fasciculations in cranial nerve innervated muscles with ultrasound in amyotrophic lateral sclerosis. Muscle Nerve 56(6):1072–1076. https://doi.org/10.1002/mus.25676

    Article  PubMed  Google Scholar 

  19. Noto YI, Shibuya K, Shahrizaila N, Huynh W, Matamala JM, Dharmadasa T, Kiernan MC (2017) Detection of fasciculations in amyotrophic lateral sclerosis: the optimal ultrasound scan time. Muscle Nerve 56(6):1068–1071. https://doi.org/10.1002/mus.25607

    Article  PubMed  Google Scholar 

  20. Hobson-Webb LD, Simmons Z (2019) Ultrasound in the diagnosis and monitoring of amyotrophic lateral sclerosis: a review. Muscle Nerve 60(2):114–123. https://doi.org/10.1002/mus.26487

    Article  PubMed  Google Scholar 

  21. Krämer HH, Vlazak A, Döring K, Tanislav C, Allendörfer J, Kaps M (2014) Excellent interrater agreement for the differentiation of fasciculations and artefacts – a dynamic myosonography study. Clin Neurophysiol 125(12):2441–2445

    Article  PubMed  Google Scholar 

  22. Noto Y-i et al (2018) Ectopic impulse generation in peripheral nerve hyperexcitability syndromes and amyotrophic lateral sclerosis. Clin Neurophysiol 129(5):974–980. https://doi.org/10.1016/j.clinph.2018.01.061

    Article  PubMed  Google Scholar 

  23. Johansson MT, Ellegaard HR, Tankisi H, Fuglsang-Frederiksen A, Qerama E (2017) Fasciculations in nerve and muscle disorders – a prospective study of muscle ultrasound compared to electromyography. Clin Neurophysiol 128(11):2250–2257. https://doi.org/10.1016/j.clinph.2017.08.031

    Article  CAS  PubMed  Google Scholar 

  24. Tsuji Y, Noto Y-i, Shiga K, Teramukai S, Nakagawa M, Mizuno T (2017) A muscle ultrasound score in the diagnosis of amyotrophic lateral sclerosis. Clin Neurophysiol 128(6):1069–1074. https://doi.org/10.1016/j.clinph.2017.02.015

    Article  PubMed  Google Scholar 

  25. Brooks BR, Miller RG, Swash M, Munsat TL (2000) El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph Lateral Scler 1(5):293–299. https://doi.org/10.1080/146608200300079536

    Article  CAS  Google Scholar 

  26. Labra J, Menon P, Byth K et al. (2015) “Rate of disease progression: a prognostic biomarker in ALS,” J Neurol Neurosurg Psychiatry, vol. jnnp-2015-

  27. Tsugawa J, Dharmadasa T, Ma Y, Huynh W, Vucic S, Kiernan MC (2018) Fasciculation intensity and disease progression in amyotrophic lateral sclerosis. Clin Neurophysiol 129(10):2149–2154. https://doi.org/10.1016/j.clinph.2018.07.015

    Article  PubMed  Google Scholar 

  28. Mills KR (2010) Characteristics of fasciculations in amyotrophic lateral sclerosis and the benign fasciculation syndrome. Brain 133(11):3458–3469

    Article  PubMed  Google Scholar 

  29. Rana SS, Schramke CJ, Sangha A, Karpinski AC (2009) “Comparison of psychosocial factors between patients with benign fasciculations and those with amyotrophic lateral sclerosis,” Ann Indian Acad Neurol, vol. 12, no. 2

  30. Shibuya K (2019) “[Split hand: characteristic neurological symptoms in ALS].,” Brain Nerve, vol. Nov, no. 71(11), pp. 1145–1151

  31. Seok HY, Park J, Kim YH et al. (2018) “Split hand muscle echo intensity index as a reliable imaging marker for differential diagnosis of amyotrophic lateral sclerosis,” J Neurol Neurosurg Psychiatry, vol. jnnp-2017-

  32. Swash M, De Carvalho M (2011) Muscle ultrasound detects fasciculations and facilitates diagnosis in ALS. Neurology 77(16):1508–1509. https://doi.org/10.1212/WNL.0b013e318233b3c4

    Article  PubMed  Google Scholar 

  33. Fermont J, Arts IMP, Overeem S, Kleine BU, Schelhaas HJ, Zwarts MJ (2010) Prevalence and distribution of fasciculations in healthy adults: effect of age, caffeine consumption and exercise. Amyotroph Lateral Scler Other Mot Neuron Disord 11(1–2):181–186

    Article  CAS  Google Scholar 

  34. De Carvalho M, Swash M (2016) “Lower motor neuron dysfunction in ALS,” Clin Neurophysiol, p. S1388245716300062

  35. Grapperon AM, Attarian S (2017) Disorders of motor neurons manifested by hyperactivity. Rev Neurol (Paris) 173(5):345–351. https://doi.org/10.1016/j.neurol.2017.04.002

    Article  CAS  Google Scholar 

  36. Bokuda K, Shimizu T, Kimura H, Yamazaki T, Kamiyama T, Watabe K, Kawata A, Hayashi M, Isozaki E (2016) Quantitative analysis of the features of fasciculation potentials and their relation with muscle strength in amyotrophic lateral sclerosis. Neurol Sci 37(12):1939–1945

    Article  PubMed  Google Scholar 

Download references

Funding

Shanxi Science and Technology Department, China (grant ID: 201704D13111584).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wei Zhang.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Ethical approval

All procedures performed in this study 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.

Informed consent

Informed consent was preliminarily obtained from all patients and controls before their inclusion in the study.

Additional information

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, J., Wen, Q., Pang, X. et al. Fasciculation score: a sensitive biomarker in amyotrophic lateral sclerosis. Neurol Sci 42, 4657–4666 (2021). https://doi.org/10.1007/s10072-021-05166-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10072-021-05166-6

Keywords

Navigation