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Longitudinal gray-matter volume change in the default-mode network: utility of volume standardized with global gray-matter volume for Alzheimer’s disease: a preliminary study

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Abstract

Our aim was to show whether sensitivity for detecting volume changes in regional gray matter in default mode network (DMN) at converted [from mild cognitive impairment to Alzheimer’s disease (from MCI to AD)] phase was improved by use of a standardized volume with global gray-matter volume. T1-weighted MR images (T1WI) of seven normal subjects and seven converted (from MCI to AD) patients were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Gray-matter images segmented with Statistical Parametric Mapping 5 were measured by the atlas-based method. We focused on five nodes of the DMN. For each phase, region of interest (ROI) volumes in the five nodes were standardized by two methods: (1) the ratio to the screening phase (S_volume) and (2) the ratio to the screening phase after both volumes were standardized by the global gray-matter volume (S_N_volume). Significant group differences between longitudinal gray-matter volume change of the converted (from MCI to AD) group and that of the normal group were found in lateral temporal cortex by S_N_volume, and precuneus by S_N_volume. These findings are useful for improving the understanding of DMN volume changes at the converted (from MCI to AD) phase.

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Acknowledgments

This study was supported by a Grant-in-Aid for Scientific Research on Innovative Areas (Comprehensive Brain Science Network) from the Ministry of Education, Science, Sports and Culture of Japan.

Conflict of interest

We declare that we have no conflicts of interest.

Author information

Authors and Affiliations

  1. Department of Radiological Technology, University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan

    Masami Goto, Kenji Ino & Keiichi Yano

  2. Department of Radiology, Nihon University School of Medicine, Chiyoda, Japan

    Osamu Abe

  3. Department of Radiology, Juntendo University, Bunkyo-ku, Japan

    Shigeki Aoki

  4. Department of Computational Diagnostic Radiology and Preventive Medicine, University of Tokyo Hospital, Tokyo, Japan

    Naoto Hayashi

  5. Department of Clinical Bioinformatics, University of Tokyo Hospital, Tokyo, Japan

    Hiroshi Ohtsu

  6. Department of Radiology, University of Tokyo Hospital, Tokyo, Japan

    Hidemasa Takao, Harushi Mori, Akira Kunimatsu & Kuni Ohtomo

  7. Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan

    Tosiaki Miyati

  8. Department of Nuclear Medicine, Saitama Medical University International Medical Center, Saitama, Japan

    Hiroshi Matsuda

  9. Department of Radiology, National Center Hospital of Neurology and Psychiatry, Tokyo, Japan

    Fumio Yamashita

  10. Department of Neuropathology, University of Tokyo, Tokyo, Japan

    Takeshi Iwatsubo

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  1. Masami Goto
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  15. Kuni Ohtomo
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Corresponding author

Correspondence to Masami Goto.

Additional information

For the Alzheimer’s Disease Neuroimaging Initiative.

Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.ucla.edu). As such, the investigators within the ADNI contributed to the design and implementation of the ADNI and/or provided data but did not participate in the analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.ucla.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.

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Goto, M., Abe, O., Aoki, S. et al. Longitudinal gray-matter volume change in the default-mode network: utility of volume standardized with global gray-matter volume for Alzheimer’s disease: a preliminary study. Radiol Phys Technol 8, 64–72 (2015). https://doi.org/10.1007/s12194-014-0295-9

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  • DOI: https://doi.org/10.1007/s12194-014-0295-9

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