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BMC Neuroscience

, 9:P155 | Cite as

The cerebellum connectivity in mathematics cognition

  • Shigang Feng
  • Yaxin Fan
  • Qingbao Yu
  • Qilin Lu
  • Yi-Yuan Tang
Open Access
Poster presentation

Keywords

Frontal Lobe Functional Connectivity Cognitive Processing Mathematics Cognition Strong Connection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Introduction

It has been reported that cerebellum plays an important role in cognition [1, 2, 3], but the material function of cerebellum in cognition is still in debate. Previous studies have mainly focused on cerebellum activation during different cognitive processing and few studies have addressed the function of cerebellum in math cognition using connectivity analyses between the cerebellum and cerebral cortex. The within-condition interregional covariance analysis (WICA) is a novel method for ROI-based functional connectivity analyses which has been applied in language and math processing [4, 5]. In this study, we applied WICA to research the functional connectivity between cerebellum and cerebrum using the single digit addition and comparison tasks of math cognition. Fifteen native Chinese undergraduates participated in the experiment and a 1.5 T MRI scanner (GE_SIGNA, Milwaukee, WI) was recruited for brain imaging. We found that the activation of the cerebellum in math cognition had a tendency for left laterality and was modulated by the task difference and difficulty. Moreover, the cerebellum had strong connections with several brain regions in the frontal lobe using WICA, and the connections were also task sensitive.

Conclusion

Our results indicate that the cerebellum plays an important role in single digit addition and comparison tasks of math cognition, but the function of cerebellum in math cognition cooperates with the frontal lobe to perform the simple math task.

Notes

Acknowledgements

This work was supported in part by National Natural Science Foundation of China Grant 60472017 and 30670699, Ministry of Education Grant NCET-06-0277 and 021010.

References

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Copyright information

© Feng et al; licensee BioMed Central Ltd. 2008

This article is published under license to BioMed Central Ltd.

Authors and Affiliations

  • Shigang Feng
    • 1
  • Yaxin Fan
    • 1
  • Qingbao Yu
    • 1
  • Qilin Lu
    • 1
  • Yi-Yuan Tang
    • 1
    • 2
  1. 1.Institute of Neuroinformatics and Laboratory for Brain and MindDalian University of TechnologyDalianChina
  2. 2.Department of PsychologyUniversity of OregonEugeneUSA

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