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Research ArticleARTIFICIAL INTELLIGENCE

Brain Age Estimation on a Dementia Cohort Using FLAIR MRI Biomarkers

Owen Crystal, Pejman J. Maralani, Sandra Black, Corinne Fischer, Alan R. Moody and April Khademi
American Journal of Neuroradiology November 2023, DOI: https://doi.org/10.3174/ajnr.A8059
Owen Crystal
aFrom the Department of Electrical, Computer and Biomedical Engineering (O.C., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada
jInstitute of Biomedical Engineering, Science and Technology (O.C., A.K.), Toronto, Ontario, Canada
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  • ORCID record for Owen Crystal
Pejman J. Maralani
bDepartment of Medical Imaging (P.J.M., A.R.M., A.K.), University of Toronto, Toronto, Ontario, Canada
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Sandra Black
cInstitute of Medical Science (S.B., C.F.), University of Toronto, Toronto, Ontario, Canada
dDepartment of Neurology (S.B.), University of Toronto, Toronto, Ontario, Canada
eHurvitz Brain Sciences Research Program (S.B.), Sunnybrook Research Institute, Toronto, Ontario, Canada
fDivision of Neurology (S.B.), Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
gL.C. Campbell Cognitive Neurology Research Unit (S.B.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Corinne Fischer
cInstitute of Medical Science (S.B., C.F.), University of Toronto, Toronto, Ontario, Canada
hDepartment of Psychiatry (C.F.), St. Michael’s Hospital, Toronto, Ontario, Canada
iKeenan Research Center (C.F., A.K.), St. Michael’s Hospital, Toronto, Ontario, Canada
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Alan R. Moody
bDepartment of Medical Imaging (P.J.M., A.R.M., A.K.), University of Toronto, Toronto, Ontario, Canada
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April Khademi
aFrom the Department of Electrical, Computer and Biomedical Engineering (O.C., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada
bDepartment of Medical Imaging (P.J.M., A.R.M., A.K.), University of Toronto, Toronto, Ontario, Canada
iKeenan Research Center (C.F., A.K.), St. Michael’s Hospital, Toronto, Ontario, Canada
jInstitute of Biomedical Engineering, Science and Technology (O.C., A.K.), Toronto, Ontario, Canada
kVector Institute for Artificial Intelligence (A.K.), Toronto, Ontario, Canada
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Article Figures & Data

Figures

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    FIG 1.

    Corrected predicted brain age versus true age for NC, sMCI, cMCI, and AD using the RFR.

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    FIG 2.

    BrainAGE distributions.

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    FIG 3.

    BrainAGE comparison across time after baseline scans for all cognitive groups.

Tables

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    Table 1:

    FLAIR MR imaging data setsa

    Patient Information
    DiagnosisVolumesImagesPatientsMale:FemaleCentersMean Age (yr)
    NC103337,706435187:2485771.54 (SD, 6.26)
    sMCI166257,322632345:2875874.17 (SD, 7.17)
    cMCI16123156237:253474.49 (SD, 7.23)
    AD38310,71414985:644675.24 (SD, 7.66)
    Total3239108,0571278654:6245873.42 (SD, 7.07)
    • ↵a All data were acquired at 1.5/3T and 3- to 5-mm section thickness.

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    Table 2:

    Brain age prediction model comparison based on MAE and correlation between true and predicted agea

    ModelMAE RawMAE Corr.Correlation RawCorrelation Corr.
    RFC3.162.890.70 (P < .001)0.84 (P < .001)
    SVM (reg.)3.542.660.66 (P < .001)0.86 (P < .001)
    Log. Reg.4.063.100.56 (P < .001)0.79 (P < .001)
    RFR3.212.460.74 (P< .001)0.87 (P < .001)
    • Note:—corr. indicates corrected; reg., regression; Log. Reg, Logistic Regression.

    • ↵a Results using the raw and corr. brain ages are shown for comparison.

    • View popup
    Table 3:

    ANOVA comparisons of BrainAGE

    ComparisonP Value (Cohen’s d)
    NC vs sMCI.30 (0.08)
    NC vs cMCI.03 (0.50)
    NC vs AD<.01 (0.91)
    sMCI vs cMCI<.01 (0.32)
    sMCI vs AD<.01 (0.63)
    cMCI vs AD<.01 (0.42)
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    Table 4:

    ANOVA comparing slope and intercept of BrainAGE versus timea

    ComparisonSlope Analysis (P Value) (Cohen’s d)Intercept Analysis (P Value) (Cohen’s d)
    NC vs sMCI.66 (0.43).77 (0.30)
    NC vs cMCI.02 (2.29).29 (0.26)
    NC vs AD.16 (1.42)<.01 (8.65)
    sMCI vs cMCI.04 (3.00).50 (0.18)
    sMCI vs AD.06 (1.90)<.01 (9.03)
    cMCI vs AD.69 (0.42)<.01 (7.02)
    • ↵a Cohen’s d is the effect size.

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    Table 5:

    T test comparing BrainAGE of subjects with cMCI at 1-year intervals with sMCI data seta

    Time before ConversionP Value (Cohen’s d)
    5–6 yr.19 (1.30)
    4–5 yr.35 (0.94)
    3–4 yr.04 (2.44)
    2–3 yr.02 (2.13)
    1–2 yr<.001 (3.47)
    • ↵a Cohen’s d is the effect size.

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    Table 6:

    Results summary from the brain age prediction model

    ExperimentResultsNotes
    Model validationMAE = 2.46 yrExisting work MAE = 4–13.5 yr
    Cross-sectional ANOVAP < .01All comparisons except NC/sMCI
    Longitudinal ANOVA (slopes)P < .05All cMCI comparisons except cMCI-AD
    Longitudinal ANOVA (intercepts)P < .01All AD comparisons
    1-year interval t testsP < .01sMCI/cMCI up to 4 years before conversion
    Correlation analysisP < .05p-tau, aβ, APOE-4
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Owen Crystal, Pejman J. Maralani, Sandra Black, Corinne Fischer, Alan R. Moody, April Khademi
Brain Age Estimation on a Dementia Cohort Using FLAIR MRI Biomarkers
American Journal of Neuroradiology Nov 2023, DOI: 10.3174/ajnr.A8059

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Brain Age Estimation on a Dementia Cohort Using FLAIR MRI Biomarkers
Owen Crystal, Pejman J. Maralani, Sandra Black, Corinne Fischer, Alan R. Moody, April Khademi
American Journal of Neuroradiology Nov 2023, DOI: 10.3174/ajnr.A8059
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