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Independency of Functional Connectivity States on Spatiotemporal Resolution of fMRI Data

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Cognitive Systems and Signal Processing (ICCSIP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1006))

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Abstract

Functional magnetic resonance imaging (fMRI) is widely used to explore the brain because of its high temporal and spatial resolution. Resting-state fMRI data were studied by many researchers who found the existence of dynamic functional connectivity (dFC). However, it is unclear whether estimation of functional connectivity (FC) states is dependent on temporal and spatial resolution of sampling in fMRI data. In this paper, we addressed this concern by comparing the FC states with varying spatiotemporal resolution of data where different number of regions of interest (ROIs) were randomly chosen to extract the timecourses. These timecourses were then down-sampling to different temporal resolution. Finally, a sliding-window approach was used to estimate the potential FC states in resting-state dFC. The results show that the detection of brain connectivity is insensitive to the spatial and temporal resolution of sampled data in fMRI data, which provides a dimension reduction perspective for research based on fMRI data.

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Acknowledgement

This research was in part supported by grants from the National Science Foundation of China (61773391, 61503397 and 61420106001).

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Authors and Affiliations

  1. College of Artificial Intelligence, National University of Defense Technology, Changsha, 410073, China

    Yuyuan Yang, Hui Shen, Zhiguo Luo, Fuquan Li & Dewen Hu

Authors
  1. Yuyuan Yang
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  2. Hui Shen
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  3. Zhiguo Luo
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  4. Fuquan Li
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  5. Dewen Hu
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Corresponding author

Correspondence to Dewen Hu .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China

    Dewen Hu

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Yang, Y., Shen, H., Luo, Z., Li, F., Hu, D. (2019). Independency of Functional Connectivity States on Spatiotemporal Resolution of fMRI Data. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-7986-4_33

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  • DOI: https://doi.org/10.1007/978-981-13-7986-4_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7985-7

  • Online ISBN: 978-981-13-7986-4

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