Skip to main content

Advertisement

Log in

Localization of the central sulcus using the distinctive high signal intensity of the paracentral lobule on T1-weighted images

  • Diagnostic Neuroradiology
  • Published:
Neuroradiology Aims and scope Submit manuscript

Abstract

Purpose

The central sulcus is an important landmark in the brain. This study aimed to investigate the distinctive signal of the paracentral lobule (PL) on T1-weighted images (T1WIs; the white PL sign) and evaluate its usefulness as a new method of identifying the central sulcus.

Methods

T1WIs of the brain of 96 participants (age, 58.9 ± 17.9 years; range, 8–87 years) scanned at 3-T MR system were retrospectively reviewed. First, we qualitatively analyzed the signal of the cortex of the PL by comparing it with that of the ipsilateral superior frontal gyrus on a 4-point grading score. Second, we compared the cortical signal intensity and gray/white-matter contrast between the PL and superior frontal gyrus. Third, we evaluated the usefulness of the PL signal for identifying the central sulcus.

Results

The PL cortex was either mildly hyperintense (grade 2) or definitely hyperintense (grade 3) in comparison with that of superior frontal cortex in all participants. The signal intensity of the PL cortex was significantly higher than that of the superior frontal cortex (p < 0.001), whereas the gray/white-matter contrast of the PL was weaker than that of the superior frontal gyrus (p < 0.001). The central sulci were identified with 94.3% accuracy (181/192) using the new method.

Conclusion

The white PL sign may be helpful in identifying the central sulcus, and this approach can be recognized as a new method for identification of the central sulcus.

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
Fig. 7

Similar content being viewed by others

References

  1. Naidich TP, Valavanis AG, Kubik S (1995) Anatomic relationships along the low-middle convexity: part I—normal specimens and magnetic resonance imaging. Neurosurgery 36:517–532

    CAS  PubMed  Google Scholar 

  2. Naidich TP, Brightbill TC (1996) Systems for localizing fronto-parietal gyri and sulci on axial CT and MRI. Int J Neuroradiol 2:313–338

    Google Scholar 

  3. Ebeling U, Huber P, Reulen HJ (1986) Localization of the precentral gyrus in the computed tomogram and its clinical application. J Neurol 233:73–76

    Article  CAS  Google Scholar 

  4. Meyer JR, Roychowdhury S, Russell EJ, Callahan C, Gitelman D, Mesulam MM (1996) Location of the central sulcus via cortical thickness of the precentral and postcentral gyri on MR. AJNR Am J Neuroradiol 17:1699–1706

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Kido DK, LeMay M, Levinson AW, Benson WE (1980) Computed tomographic localization of the precentral gyrus. Radiology 135:373–377

    Article  CAS  Google Scholar 

  6. Iwasaki S, Nakagawa H, Fukusumi A, Kichikawa K, Kitamura K, Otsuji H, Uchida H, Ohishi H, Yaguchi K, Sumie H et al (1991) Identification of pre- and postcentral gyri on CT and MR images on the basis of the medullary pattern of cerebral white matter. Radiology 179:207–213

    Article  CAS  Google Scholar 

  7. Sobel DF, Gallen CC, Schwartz BJ, Waltz TA, Copeland B, Yamada S, Hirschkoff EC, Bloom FE (1993) Locating the central sulcus: comparison of MR anatomic and magnetoencephalographic functional methods. AJNR Am J Neuroradiol 14:915–925

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Yousry TA, Schmid UD, Alkadhi H, Schmidt D, Peraud A, Buettner A, Winkler P (1997) Localization of the motor hand area to a knob on the precentral gyrus. A new landmark. Brain 120(Pt 1):141–157

    Article  Google Scholar 

  9. Wagner M, Jurcoane A, Hattingen E (2013) The U sign: tenth landmark to the central region on brain surface reformatted MR imaging. AJNR Am J Neuroradiol 34:323–326

    Article  CAS  Google Scholar 

  10. Kaneko OF, Fischbein NJ, Rosenberg J, Wintermark M, Zeineh MM (2017) The “white gray sign” identifies the central sulcus on 3T high-resolution T1-weighted images. AJNR Am J Neuroradiol 38:276–280

    Article  Google Scholar 

  11. Su S, Yang N, Gaillard F (2019) Invisible cortex sign: a highly accurate feature to localize the inferolateral central sulcus. J Med Imaging Radiat Oncol 63:439–445

    Article  Google Scholar 

  12. Mark IT, Luetmer PH, Rydberg CH, Witte RJ, Geske JR, Johnson MP, Lehman VT (2019) Signal intensity of peri-rolandic cortex identifies the central sulcus on double inversion recovery MRI. J Neurosurg Sci

  13. Rodrigues T, Rodrigues M, Paz D, Costa MD, Santos B, Braga V, Paiva Neto M, Centeno R, Cavalheiro S, Chaddad-Neto F (2015) Is the omega sign a reliable landmark for the neurosurgical team? An anatomical study about the central sulcus region. Arq Neuropsiquiatr 73:934–938

    Article  Google Scholar 

  14. Karaarslan E, Arslan A (2003) Perirolandic cortex of the normal brain: low signal intensity on turbo FLAIR MR images. Radiology 227:538–541

    Article  Google Scholar 

  15. Kamada K, Kakeda S, Ohnari N, Moriya J, Sato T, Korogi Y (2008) Signal intensity of motor and sensory cortices on T2-weighted and FLAIR images: intraindividual comparison of 1.5T and 3T MRI. Eur Radiol 18:2949–2955

    Article  Google Scholar 

  16. Kim EY, Kim DH, Chang JH, Yoo E, Lee JW, Park HJ (2009) Triple-layer appearance of Brodmann area 4 at thin-section double inversion-recovery MR imaging. Radiology 250:515–522

    Article  Google Scholar 

  17. Kakeda S, Korogi Y, Kamada K, Ohnari N, Moriya J, Sato T, Kitajima M, Hasnine H, Hirata N (2008) Signal intensity of the motor cortex on phase-weighted imaging at 3T. AJNR Am J Neuroradiol 29:1171–1175

    Article  CAS  Google Scholar 

  18. Dinçer A, Ozyurt O, Erzen C, Pamir MN (2010) Identification of the primary motor cortex: value of T2 echo-planar imaging, diffusion-weighted imaging and quantitative apparent diffusion coefficient measurement at 3 T. Eur Radiol 20:931–940

    Article  Google Scholar 

  19. Spasojević G, Malobabic S, Pilipović-Spasojević O, Djukić-Macut N, Maliković A (2013) Morphology and digitally aided morphometry of the human paracentral lobule. Folia Morphol (Warsz) 72:10–16

    Article  Google Scholar 

  20. Nagaratnam N, Davies D, Chen E (1998) Clinical effects of anterior cerebral artery infarction. J Stroke Cerebrovasc Dis 7:391–397

    Article  CAS  Google Scholar 

  21. Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA (1987) MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am J Roentgenol 149:351–356

    Article  CAS  Google Scholar 

  22. Steen RG, Reddick WE, Ogg RJ (2000) More than meets the eye: significant regional heterogeneity in human cortical T1. Magn Reson Imaging 18:361–368

    Article  CAS  Google Scholar 

  23. Salat DH, Lee SY, van der Kouwe AJ, Greve DN, Fischl B, Rosas HD (2009) Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast. Neuroimage 48:21–28

    Article  CAS  Google Scholar 

  24. Stüber C, Morawski M, Schäfer A, Labadie C, Wähnert M, Leuze C, Streicher M, Barapatre N, Reimann K, Geyer S, Spemann D, Turner R (2014) Myelin and iron concentration in the human brain: a quantitative study of MRI contrast. Neuroimage 93(Pt 1):95–106

    Article  Google Scholar 

  25. Nieuwenhuys R, Broere CA (2017) A map of the human neocortex showing the estimated overall myelin content of the individual architectonic areas based on the studies of Adolf Hopf. Brain Struct Funct 222:465–480

    Article  Google Scholar 

  26. Hallgren B, Sourander P (1958) The effect of age on the non-haemin iron in the human brain. J Neurochem 3:41–51.27

    Article  CAS  Google Scholar 

  27. Kakeda S, Yoneda T, Ide S, Watanabe K, Hiai Y, Korogi Y (2016) Signal intensity of superficial white matter on phase difference enhanced imaging as a landmark of the perirolandic cortex. Acta Radiol 57:1380–1386

    Article  Google Scholar 

Download references

Acknowledgements

We are grateful to the participants of this study.

Funding

Partial financial support was received from the Japan Society for the Promotion of Science KAKENHI grant no.19 K17150.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Akifumi Hagiwara.

Ethics declarations

Conflict of interest/Competing interests

The authors have no conflicts of interest to declare that are relevant to the content of this article.

Ethical approval

All 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.

Informed consent

For this type of study, formal consent is not required.

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

Cho, S., Kurokawa, R., Hagiwara, A. et al. Localization of the central sulcus using the distinctive high signal intensity of the paracentral lobule on T1-weighted images. Neuroradiology 64, 289–299 (2022). https://doi.org/10.1007/s00234-021-02729-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00234-021-02729-4

Keywords

Navigation