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Alterations in Normal Aging Revealed by Cortical Brain Network Constructed Using IBASPM

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Abstract

Normal aging has been linked with the decline of cognitive functions, such as memory and executive skills. One of the prominent approaches to investigate the age-related alterations in the brain is by examining the cortical brain connectome. IBASPM is a toolkit to realize individual atlas-based volume measurement. Hence, this study seeks to determine what further alterations can be revealed by cortical brain networks formed by IBASPM-extracted regional gray matter volumes. We found the reduced strength of connections between the superior temporal pole and middle temporal pole in the right hemisphere, global hubs as the left fusiform gyrus and right Rolandic operculum in the young and aging groups, respectively, and significantly reduced inter-module connection of one module in the aging group. These new findings are consistent with the phenomenon of normal aging mentioned in previous studies and suggest that brain network built with the IBASPM could provide supplementary information to some extent. The individualization of morphometric features extraction deserved to be given more attention in future cortical brain network research.

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Acknowledgements

The authors are thankful to the medical suggestions of Doctor Jiechuan Ren from Tiantan Hospital.

Funding

This research was partly supported by Beijing Nova Program (Z161100004916157), National Natural Science Foundation of China (81101107, 31640035 and 71661167001), Natural Science Foundation of Beijing (4162008), and Beijing Municipal Education Commission (PXM2017_014204_500012).

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Authors and Affiliations

  1. College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China

    Wan Li, Chunlan Yang, Shuicai Wu, Yingnan Nie & Xin Zhang

  2. Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA

    Feng Shi

  3. Department of Internal Neurology, Tiantan Hospital, Beijing, China

    Qun Wang

  4. Department of Internal Neurology, Puhua International Hospital, Beijing, China

    Wangsheng Lu

  5. Department of Functional Neuroimaging, Neurosurgical Institute, Beijing, China

    Shaowu Li

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  1. Wan Li
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  2. Chunlan Yang
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  3. Feng Shi
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  4. Qun Wang
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  5. Shuicai Wu
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  6. Wangsheng Lu
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  7. Shaowu Li
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Contributions

WL and CY have made substantial contributions to the design of the work and analysis of data for the work; YN and XZ have made contributions to the analysis of data for the work. WL has drafted the work; CY and FS have revised it critically for important intellectual content. QW, WSL, and SL have provided related medical suggestions. CY and SW have provided all the equipment for conducting the experiment. All the authors have provided the final approval of the version to be published. All the authors agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Corresponding author

Correspondence to Chunlan Yang.

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Conflict of interest

All the authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Ethical Approval

The data employed in the present study was obtained from Open Access Series of Imaging Studies (OASIS), which is a project aimed at making MRI data sets of the brain freely available to the scientific community. OASIS is made available by the Washington University Alzheimer’s Disease Research Center, Dr. Randy Buckner at the Howard Hughes Medical Institute (HHMI) at Harvard University, the Neuroinformatics Research Group (NRG) at Washington University School of Medicine, and the Biomedical Informatics Research Network (BIRN).

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Li, W., Yang, C., Shi, F. et al. Alterations in Normal Aging Revealed by Cortical Brain Network Constructed Using IBASPM. Brain Topogr 31, 577–590 (2018). https://doi.org/10.1007/s10548-018-0642-y

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