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Research ArticleResearch Article: New Research, Integrative Systems

Reserve and Maintenance in the Aging Brain: A Longitudinal Study of Healthy Older Adults

Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Kazuya Kawabata, Kazuhiro Hara, Reiko Ohdake, Aya Ogura, Daisuke Mori, Noritaka Yoneyama, Kazunori Imai, Takamasa Yokoi, Toshiyasu Kato, Shuji Koyama, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki and Gen Sobue
eNeuro 19 January 2022, 9 (1) ENEURO.0455-21.2022; https://doi.org/10.1523/ENEURO.0455-21.2022
Epifanio Bagarinao
1Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi 461-8673, Japan
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
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Hirohisa Watanabe
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
3Department of Neurology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Satoshi Maesawa
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
5Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Kazuya Kawabata
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Kazuhiro Hara
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Reiko Ohdake
3Department of Neurology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
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Aya Ogura
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Daisuke Mori
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
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  • ORCID record for Daisuke Mori
Noritaka Yoneyama
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Kazunori Imai
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Takamasa Yokoi
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Toshiyasu Kato
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Shuji Koyama
1Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi 461-8673, Japan
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
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Masahisa Katsuno
4Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Toshihiko Wakabayashi
5Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Masafumi Kuzuya
6Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Minoru Hoshiyama
1Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi 461-8673, Japan
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
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Haruo Isoda
1Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi 461-8673, Japan
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
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Shinji Naganawa
7Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Norio Ozaki
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
8Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
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Gen Sobue
2Brain & Mind Research Center, Nagoya University, Nagoya, Aichi 466-8550, Japan
9Aichi Medical University, Nagakute, Aichi 480-1195, Japan
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  • Article
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Article Figures & Data

Figures

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  • Extended Data
  • Figure 1.
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    Figure 1.

    Age-related changes in total GM volume (first row), total WM volume (second row), and total CSF volume (third row). The first column showed LME model estimates using all participants’ data, the second column using only that of male participants, and the third column for female participants. Dots correspond to raw volumes adjusted for sex and eTIV. Colored thin lines are conditional fit of the longitudinal data using the estimated LME model. Longer green thick lines represent association with baseline age, whereas shorter black thick lines represent association with time for the longitudinal component. Data from male participants are shown in blue, whereas that of female participants are shown in red. Estimated model parameters, t values, and p-values are given in Extended Data Figure 1-1.

  • Figure 2.
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    Figure 2.

    Linear relationship between (a) regional GM volumes and baseline age as well as (b) regional GM volumes and time from baseline scan. The cortex is divided into 34 ROIs for each hemisphere based on the Desikan–Killany atlas. Estimated model parameters, t values, and p-values are given in Extended Data Figures 2-1, 2-2, 2-3 using data from all participants, male only, and female only, respectively.

  • Figure 3.
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    Figure 3.

    Estimated LME models for selected subcortical ROIs using all participants’ data. Volumes are adjusted for sex and eTIV. Dots correspond to adjusted raw volumes. Colored thin lines are conditional fit of the longitudinal data using the estimated LME model. Longer green thick lines represent association with baseline age, whereas shorter black thick lines represent association with time for the longitudinal component. Data from male participants are shown in blue, whereas data from female participants are shown in red. Estimated model parameters, t values, and p-values are given in Extended Data Figure 3-1.

  • Figure 4.
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    Figure 4.

    Estimates of LME model for cerebellar volumes: (a) cortex and (b) WM. Sex-specific LME estimates are also shown in the insets. Dots correspond to raw volumes adjusted for sex and eTIV. Colored thin lines are conditional fit of the longitudinal data using the estimated LME model. Longer green thick lines represent association with baseline age, whereas shorter black thick lines represent association with time for the longitudinal component. Data from male participants are shown in blue, whereas that of female participants are shown in red. Estimated model parameters, t values, and p-values are also given in Extended Data Figure 3-1.

Tables

  • Figures
  • Extended Data
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    Table 1

    Participants’ characteristics at baseline scan

    Age group (M/F)All mean (SD)Male mean (SD)Female mean (SD)
    50s (15/47)Age, years
    Age range, years
    54.65 (3.07)
    50.17–59.92
    54.38 (3.43)
    50.17–59.92
    54.73 (2.98)
    50.17–59.08
    MMSE29.52 (0.67)29.33 (0.82)29.57 (0.62)
    ACE-R97.42 (1.50)97.13 (1.55)97.51 (1.49)
    Education, years14.03 (2.25)15.00 (3.40)13.72 (1.66)
    BDI4.56 (5.33)2.53 (2.50)5.21 (5.83)
    60s (24/59)Age, years
    Age range, years
    65.21 (2.73)
    60.17–69.92
    65.28 (2.59)
    60.42–69.67
    65.18 (2.81)
    60.17–69.92
    MMSE29.43 (0.77)29.50 (0.72)29.41 (0.79)
    ACE-R96.53 (2.46)97.00 (2.62)96.34 (2.39)
    Education, years13.55 (2.09)14.75 (2.27)13.07 (1.82)
    BDI4.18 (4.46)*2.65 (3.31)*4.78 (4.72)
    70s (35/47)Age, years
    Age range, years
    73.25 (2.64)
    70.08–79.67
    73.42 (2.71)
    70.42–79.67
    73.13 (2.60)
    70.08–79.50
    MMSE28.98 (1.02)28.91 (1.09)29.02 (0.97)
    ACE-R94.70 (2.86)94.34 (3.02)94.96 (2.74)
    Education, years13.17 (2.22)14.31 (2.26)12.32 (1.78)
    BDI5.15 (4.62)4.29 (4.09)5.79 (4.92)
    • ↵* One participant has no data.

    • M, male; F, female; MMSE, Mini-Mental State Examination total score; ACE-R, Addenbrooke’s Cognitive Examination–Revised total score; BDI - Beck Depression Inventory score.

Extended Data

  • Figures
  • Tables
  • Extended Data Figure 1-1

    Estimated model parameters and their corresponding t values and p-values of the optimal LME models for the total GM volume, total WM volume, and total CSF volume using data from all participants, male only participants, and female only participants. Download Figure 1-1, XLS file.

  • Extended Data Figure 2-1

    Estimated model parameters and their corresponding t values and p-values (corrected for multiple comparisons using FDR) of the optimal LME models for regional GM volume using all participants’ data. Download Figure 2-1, XLS file.

  • Extended Data Figure 2-2

    Estimated model parameters and their corresponding t values and p-values (corrected for multiple comparisons using FDR) of the optimal LME models for regional GM volume using data from male participants only. Download Figure 2-2, XLS file.

  • Extended Data Figure 2-3

    Estimated model parameters and their corresponding t values and p-values (corrected for multiple comparisons using FDR) of the optimal LME models for regional GM volume using data from female participants only. Download Figure 2-3, XLS file.

  • Extended Data Figure 3-1

    Estimated model parameters and their corresponding t values and p-values (corrected for multiple comparisons using FDR) of the optimal LME models for selected subcortical ROIs using data from all participants, male only participants, and female only participants. This extended data supports both Figures 3, 4. Download Figure 3-1, XLS file.

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Reserve and Maintenance in the Aging Brain: A Longitudinal Study of Healthy Older Adults
Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Kazuya Kawabata, Kazuhiro Hara, Reiko Ohdake, Aya Ogura, Daisuke Mori, Noritaka Yoneyama, Kazunori Imai, Takamasa Yokoi, Toshiyasu Kato, Shuji Koyama, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki, Gen Sobue
eNeuro 19 January 2022, 9 (1) ENEURO.0455-21.2022; DOI: 10.1523/ENEURO.0455-21.2022

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Reserve and Maintenance in the Aging Brain: A Longitudinal Study of Healthy Older Adults
Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Kazuya Kawabata, Kazuhiro Hara, Reiko Ohdake, Aya Ogura, Daisuke Mori, Noritaka Yoneyama, Kazunori Imai, Takamasa Yokoi, Toshiyasu Kato, Shuji Koyama, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki, Gen Sobue
eNeuro 19 January 2022, 9 (1) ENEURO.0455-21.2022; DOI: 10.1523/ENEURO.0455-21.2022
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