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Research Articles, Behavioral/Cognitive

Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years

Anna J. Finley, Douglas J. Angus, Erik L. Knight, Carien M. van Reekum, Margie E. Lachman, Richard J. Davidson and Stacey M. Schaefer
Journal of Neuroscience 27 March 2024, 44 (13) e1332232024; https://doi.org/10.1523/JNEUROSCI.1332-23.2024
Anna J. Finley
1Institute on Aging, University of Wisconsin-Madison, Madison, Wisconsin 53706
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Douglas J. Angus
2School of Psychology, Bond University, Robina, Queensland 4226, Australia
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Erik L. Knight
3Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80309
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Carien M. van Reekum
4School of Psychology and Clinical Language Sciences, University of Reading, Reading RG6 6ES, United Kingdom
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Margie E. Lachman
5Department of Psychology, Brandeis University, Waltham, Massachusetts 02453
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Richard J. Davidson
6Center for Healthy Minds, University of Wisconsin-Madison, Madison, Wisconsin 53706
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Stacey M. Schaefer
1Institute on Aging, University of Wisconsin-Madison, Madison, Wisconsin 53706
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Figures

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  • Figure 1.
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    Figure 1.

    Participant flow and at which time point data were collected.

  • Figure 2.
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    Figure 2.

    Wave by individual peak α frequency interaction plot. Plot depicting the two-way interaction wave × individual peak α frequency reported in Table 6 with 95% confidence interval error bars. Time 1 cognition assessed at MIDUS2 Cognitive Project, and time 2 cognition was assessed at the MIDUS 3 Cognitive Project.

  • Figure 3.
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    Figure 3.

    Wave by aperiodic exponent by individual peak α frequency interaction plot. Plot depicting the three-way interaction wave × aperiodic exponent × individual peak α frequency reported in Table 9, with wave depicted as the estimated change in cognitive function between the M2 and M3 Cognitive Projects.

Tables

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    Table 1.

    Participant demographics, n = 235

    Age in years: MIDUS 2 Neuroscience ProjectSex
     M(SD) = 55.10 (10.71) Male94 (40.0%)
     Female141 (60.0%)
     36–4985 (36.2%)Race
     50–65105 (44.7%) White173 (73.6%)
     66–8345 (19.1%) Total black, indigenous, and people of color (BIPOC)62 (26.4%)
    Education
     High school or less67 (29.3%)
     Some college70 (30.6%)
     Bachelor's or higher92 (40.2%)
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    Table 2.

    Summary of preregistered hypotheses and analyses

    HypothesesAnalytic planaResults
    H1: Cognitive function at time 1 (indexed by the BTACT composite score) will be negatively associated with age.H2: Within-person changes in cognitive function (indexed by time 1 to time 2 changes in BTACT composite score) will be moderated by age, such that older age will be associated with greater decline in cognitive function between time 1 and 2.

    Multilevel linear model controlling for education, sex, and lag between waves in years as follows:

    Equation 1

    Level 1:

    ExecutiveFunctionij=β0+β1Waveij+μij,

    Level 2:

    β0=γ00+γ01T1Agej+γ02TotalLagj+γ03Educationj+γ04Sex+εj,

    β1=γ10+γ11T1Agej,

    H1: Negative coefficient for the main effect of age at time 1 (i.e., γ01).

    H2: Negative coefficient for the interaction between

    Age and wave (i.e., γ11).

    H1: Supported for BTACT composite and both executive functioning and episodic memory subfactors.H2: Not supported.
    H3: Cognitive function at time 1 (indexed by the BTACT composite score) will be positively associated with aperiodic exponent, such that flatter spectra will be associated with poorer cognitive function.H4: Within-person changes in cognitive function (indexed by time 1 to time 2 changes in BTACT composite score) will be moderated by the aperiodic exponent, such that flatter spectra at time 1 will be associated with greater decline in cognitive function between time 1 and 2.H5: Cognitive function at time 1 (indexed by the BTACT composite score) will be positively associated with IAPF, such that lower IAPF will be associated with poorer cognitive function.H6: Within-person changes in cognitive function (indexed by time 1 to time 2 changes in BTACT composite score) will be moderated by IAPF, such that lower IAPF at time 1 will be associated with greater decline in cognitive function between time 1 and 2.

    Multilevel linear model controlling for education, sex, and lag between waves in years. The placeholder “EEG” is used to represent the different EEG metrics included separately in each of the models as per hypotheses.

    Equation 2

    Level 1:

    CognitiveFunctionij=β0+β1Waveij+μij,

    Level 2:

    β0=γ00+γ01EEGj+γ02TotalLagj+γ03Educationj+γ04Sex+εj,

    β1=γ10+γ11EEGj,

    H3: Significant positive coefficient for the EEG metric (i.e., γ01) when aperiodic exponent is included in the model.

    H4: Significant coefficient for the EEG by Wave interaction (i.e., γ11) when aperiodic exponent is included in the model, such that flatter aperiodic spectra associated with faster decline in cognitive function.

    H5: Significant positive coefficient for the EEG metric (i.e., γ01) when IAPF is included in the model.

    H6: Significant coefficient for the EEG by wave interaction (i.e., γ11) when IAPF is included in the model, such that lower IAPF are associated with faster decline in cognitive function.

    H3: Supported for BTACT composite and executive functioning subfactor.H4: Not supported.H5: Not supported.H6: Supported for BTACT composite.
    H7: The relationships between the aperiodic exponent, individual α peak frequency, and cognitive function outlined in H3–H6 will be moderated by age, such that greater cognitive decline will be observed in older-aged participants with flatter aperiodic exponents and lower IAPF. This hypothesis can be broken down into 4 parts (a–d) as described in the “Analytic Plan”.

    Multilevel linear model controlling for education, sex, and lag between waves in years. The placeholder “EEG” is used to represent the different EEG metrics we aim to include in each of the models.

    Equation 3

    Level 1:

    CognitiveFunctionij=β0+β1Waveij+μij,

    Level 2:

    β0=γ00+γ01EEGj+γ02T1Agej+γ03EEGj*T1Agej+γ04TotalLagj+γ05Educationj+γ06Sex+εj,

    β1=γ10+γ11EEGj+γ12T1Agej+γ13EEGj*T1Agej+γ14TotalLagj+γ15Racej+γ16Sex,

    H7a: Significant coefficient for the interaction between the EEG by Age (i.e., γ03) when aperiodic exponent is included in the model, such that older individuals with flatter aperiodic spectra will show the poorest time 1 cognitive function.

    H7b: Significant coefficient for the interaction between the EEG by Age (i.e., γ03) when IAPF is included in the model, such that older individuals with lower IAPF will show the poorest time 1 cognitive function.

    H7c: Significant coefficient for the interaction between the EEG by Age by Wave (i.e., γ13) when aperiodic exponent is included in the model, such that older individuals with flatter aperiodic spectra will show the steepest decline in cognitive function.

    H7d: Significant coefficient for the interaction between the EEG by Age by Wave (i.e., γ13) IAPF is included in the model, such that older individuals with lower IAPF will show the steepest decline in cognitive function.

    H7a: Not supported.
    H7b: Not supported.
    H7c: Not supported.
    H7d: Not supported.
    • ↵a The exact preregistered analyses were overly complicated and conservative by including lag as two separate variables (instead of a linear addition into a single variable), as well as the interaction between covariates and wave. Additionally, after extensive testing for possible interactions with education and finding none, we decided to include education as a more appropriate covariate than race. We report the preregistered analyses, which are consistent with these findings, on OSF at https://doi.org/10.17605/OSF.IO/SR4MB.

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    Table 3.

    Correlations and descriptive statistics

    Mean (SD) n2. Total lag3. M2 Episodic memory4. M3 Episodic memory5. M2 Executive function6. M3 Executive function7. M2 BTACT composite8. M3 BTACT composite9. Aperiodic exponent10. IAPF
    1. Age (MIDUS 2 Neuroscience)55.10 (10.71) n = 235

    −0.12

    [−0.25, 0.01]

    p = 0.076

    n = 235

    −0.18

    [−0.30, −0.05]

    p = 0.010

    n = 228

    −0.24

    [−0.36, −0.11]

    p = 0.001

    n = 223

    −0.35

    [−0.46, −0.23]

    p < 0.001

    n = 228

    −0.32

    [−0.43, −0.20]

    p < 0.001

    n = 230

    −0.36

    [−0.47, −0.24]

    p < 0.001

    n = 224

    −0.34

    [−0.45, −0.21]

    p < 0.001

    n = 219

    −0.29

    [−0.40, −0.17]

    p < 0.001

    n = 235

    −0.23

    [−0.34, −0.10]

    p = 0.001

    n = 235

    2. Total Lag (M2 to M3 Cognitive Projects, years)9.71 (0.92) n = 235-

    −0.06

    [−0.19, 0.07]

    p = 0.389

    n = 228

    −0.07

    [−0.20, 0.06]

    p = 0.362

    n = 223

    −0.17

    [−0.29, −0.04]

    p = 0.018

    n = 228

    −0.30

    [−0.41, −0.17]

    p < 0.001

    n = 230

    −0.16

    [−0.29, −0.03]

    p = 0.021

    n = 224

    −0.29

    [−0.41, −0.17]

    p < 0.001

    n = 219

    0.14

    [0.01, 0.26]

    p = 0.049

    n = 235

    −0.06

    [−0.18, 0.07]

    p = 0.416

    n = 235

    3. Episodic memory MIDUS 20.00 (0.93) n = 228-

    0.56

    [0.46, 0.64]

    p < 0.001

    n = 217

    0.36

    [0.24, 0.47]

    p < 0.001

    n = 224

    0.32

    [0.19, 0.43]

    p < 0.001

    n = 223

    0.56

    [0.47, 0.65]

    p < 0.001

    n = 224

    0.41

    [0.29, 0.52]

    p < 0.001

    n = 213

    0.03

    [−0.10, 0.16]

    p = 0.639

    n = 228

    0.16

    [0.03, 0.28]

    p = 0.023

    n = 228

    4. Episodic memory MIDUS 3−0.11 (1.10) n = 223-

    0.26

    [0.13, 0.38]

    p < 0.001

    n = 217

    0.37

    [0.25, 0.48]

    p < 0.001

    n = 219

    0.39

    [0.27, 0.50]

    p < 0.001

    n = 213

    0.59

    [0.49, 0.67]

    p < 0.001

    n = 219

    0.01

    [−0.12, 0.14]

    p = 0.867

    n = 223

    0.19

    [0.06, 0.31]

    p = 0.007

    n = 223

    5. Executive function MIDUS 20.01 (0.65) n = 228-

    0.69

    [0.62, 0.76]

    p < 0.001

    n = 223

    0.97

    [0.96, 0.98]

    p < 0.001

    n = 224

    0.68

    [0.60, 0.74]

    p < 0.001

    n = 213

    0.13

    [0.00, 0.26]

    p = 0.054

    n = 228

    0.14

    [0.01, 0.27]

    p = 0.045

    n = 228

    6. Executive function MIDUS 3−0.44 (0.74) n = 230-

    0.69

    [0.61, 0.75]

    p < 0.001

    n = 219

    0.97

    [0.96, 0.98]

    p < 0.001

    n = 219

    0.04

    [−0.09, 0.17]

    p = 0.566

    n = 230

    0.19

    [0.06, 0.31]

    p = 0.006

    n = 230

    7. BTACT composite MIDUS 20.01 (0.62) n = 224-

    0.70

    [0.63, 0.77]

    p < 0.001

    n = 209

    0.13

    [0.00, 0.26]

    p = 0.062

    n = 224

    0.16

    [0.03, 0.29]

    p = 0.020

    n = 224

    8. BTACT composite MIDUS 3−0.37 (0.71) n = 219-

    0.04

    [−0.09, 0.17]

    p = 0.566

    n = 219

    0.21

    [0.08, 0.34]

    p = 0.003

    n = 219

    9. Aperiodic exponent1.20 (0.28) n = 235-

    −0.16

    [−0.28, −0.03]

    p = 0.020

    n = 235

    10. IAPF9.60 (0.98) n = 229-
    • Bold values are significant at p < .05.

    • View popup
    Table 4.

    Multilevel models to test Hypotheses 1 and 2

    PredictorsEpisodic memoryExecutive functioningBTACT composite
    Estimates95% CIPEstimates95% CIpEstimates95% CIp
    Intercept (M2)−0.43−0.60 to −0.26<0.001−0.07−0.19 to 0.050.256−0.12−0.23 to −0.010.028
    MIDUS wave−0.13−0.26 to −0.000.043−0.43−0.50 to −0.36<0.001−0.38−0.45 to −0.31<0.001
    Age−0.02−0.03 to −0.010.001−0.02−0.03 to −0.02<0.001−0.02−0.03 to −0.02<0.001
    Sex0.740.53 to 0.94<0.0010.11−0.03 to 0.260.1280.220.08 to 0.350.001
    Education0.170.04 to 0.290.0080.130.05 to 0.210.0010.140.06 to 0.210.001
    Lag between waves−0.10−0.21 to 0.010.073−0.21−0.29 to −0.14<0.001−0.20−0.27 to −0.13<0.001
    MIDUS wave × age−0.01−0.02 to 0.000.0960.00−0.01 to 0.010.994−0.00−0.01 to 0.010.707
    Random effects
    σ20.460.160.14
    τ000.38 M2ID0.22 M2ID0.19 M2ID
    ICC0.450.590.58
    N234 M2ID235 M2ID234 M2ID
    Observations451458443
    Marginal R2/conditional R20.195/0.5590.292/0.7070.311/0.708
    • Repeated measured cognitive data nested within participant, indicated by M2ID. Sex coded as 0 = male, 1 = female. Education coded as −1 = high school or less, 0 = some college, 1 = bachelor's degree or higher. MIDUS wave coded as 0 = MIDUS 2, 1 = MIDUS 3. Years between waves (i.e., between MIDUS 2 and MIDUS 3 Cognitive Projects) and age at M2 Neuroscience Project are mean centered. Empirical Bayes slope estimation used (Bates et al., 2015).

    • Bold values are significant at p < .05.

    • View popup
    Table 5.

    Multilevel models to test Hypotheses 3 and 4

    PredictorsEpisodic memoryExecutive functioningBTACT composite
    Estimates95% CIpEstimates95% CIpEstimates95% CIp
    Intercept (M2)−0.41−0.59 to −0.23<0.001−0.05−0.18 to 0.080.450−0.11−0.23 to 0.010.085
    MIDUS wave−0.13−0.26 to 0.000.051−0.43−0.51 to −0.36<0.001−0.38−0.45 to −0.31<0.001
    Exponent0.26−0.19 to 0.710.2540.400.09 to 0.710.0120.390.10 to 0.680.009
    Sex0.710.49 to 0.93<0.0010.08−0.08 to 0.240.3060.190.04 to 0.340.012
    Education0.170.04 to 0.300.0080.130.04 to 0.210.0030.130.05 to 0.210.002
    Lag between waves−0.08−0.19 to 0.040.187−0.19−0.28 to −0.11<0.001−0.18−0.26 to −0.10<0.001
    Wave × exponent−0.02−0.48 to 0.440.926−0.21−0.47 to 0.050.120−0.16−0.42 to 0.090.204
    Random effects
    σ20.470.150.14
    τ000.44 M2ID0.28 M2ID0.25 M2ID
    ICC0.480.650.65
    N234 M2ID235 M2ID234 M2ID
    Observations451458443
    Marginal R2/Conditional R20.136/0.5510.179/0.7100.182/0.710
    • Repeated measured cognitive data nested within participant, indicated by M2ID. Sex coded as 0 = male, 1 = female. Education coded as −1 = high school or less, 0 = some college, 1 = bachelor's degree or higher. MIDUS wave coded as 0 = MIDUS 2, 1 = MIDUS 3. Years between waves (i.e., between MIDUS 2 and MIDUS 3 Cognitive Projects) and age at M2 Neuroscience Project are mean centered. Empirical Bayes slope estimation used (Bates et al., 2015).

    • Bold values are significant at p < .05.

    • View popup
    Table 6.

    Multilevel models to test Hypotheses 5 and 6

    PredictorsEpisodic memoryExecutive functioningBTACT composite
    Estimates95% CIPEstimates95% CIpEstimates95% CIp
    Intercept (M2)−0.40−0.57 to −0.22<0.001−0.03−0.16 to 0.090.596−0.09−0.21 to 0.030.146
    MIDUS wave−0.13−0.25 to 0.000.052−0.43−0.51 to −0.36<0.001−0.38−0.45 to −0.31<0.001
    IAPF0.12−0.00 to 0.250.0550.07−0.02 to 0.160.1150.08−0.00 to 0.160.058
    Sex0.680.47 to 0.89<0.0010.06−0.10 to 0.210.4690.160.02 to 0.310.030
    Education0.170.05 to 0.300.0070.140.05 to 0.220.0020.130.05 to 0.210.001
    Lag between waves−0.06−0.17 to 0.060.326−0.17−0.26 to −0.09<0.001−0.16−0.24 to −0.08<0.001
    Wave × IAPF0.07−0.06 to 0.200.2810.07−0.00 to 0.150.0610.070.00 to 0.140.047
    Random effects
    σ20.470.150.13
    τ000.42 M2ID0.28 M2ID0.25 M2ID
    ICC0.470.640.65
    N234 M2ID235 M2ID234 M2ID
    Observations451458443
    Marginal R2/conditional R20.156/0.5530.188/0.7110.196/0.715
    • Repeated measured cognitive data nested within participant, indicated by M2ID. Sex coded as 0 = male, 1 = female. Education coded as −1 = high school or less, 0 = some college, 1 = bachelor's degree or higher. MIDUS wave coded as 0 = MIDUS 2, 1 = MIDUS 3. Years between waves (i.e., between MIDUS 2 and MIDUS 3 Cognitive Projects) and age at M2 Neuroscience Project are mean centered. Empirical Bayes slope estimation used (Bates et al., 2015).

    • Bold values are significant at p < .05.

    • View popup
    Table 7.

    Multilevel models to test Hypotheses 7a and 7c

    PredictorsEpisodic memoryExecutive functioningBTACT composite
    Estimates95% CIPEstimates95% CIpEstimates95% CIp
    Intercept (M2)−0.44−0.62 to −0.26<0.001−0.06−0.18 to 0.060.340−0.12−0.23 to −0.000.046
    MIDUS wave−0.11−0.24 to 0.030.122−0.43−0.50 to −0.35<0.001−0.38−0.46 to −0.31<0.001
    Exponent0.07−0.38 to 0.520.7480.16−0.14 to 0.460.3040.15−0.13 to 0.430.290
    Age−0.02−0.03 to −0.010.002−0.02−0.03 to −0.01<0.001−0.02−0.03 to −0.01<0.001
    Sex0.730.52 to 0.94<0.0010.11−0.04 to 0.260.1400.220.08 to 0.360.002
    Education0.160.04 to 0.290.0100.130.05 to 0.210.0020.130.06 to 0.210.001
    Lag between waves−0.10−0.21 to 0.010.080−0.22−0.29 to −0.14<0.001−0.20−0.27 to −0.13<0.001
    Wave × exponent−0.14−0.62 to 0.330.557−0.23−0.50 to 0.050.104−0.19−0.45 to 0.080.166
    Wave × age−0.01−0.02 to 0.000.122−0.00−0.01 to 0.010.687−0.00−0.01 to 0.000.476
    Exponent × age−0.01−0.06 to 0.040.6770.01−0.02 to 0.040.6320.01−0.02 to 0.030.695
    Wave × exponent × age0.03−0.02 to 0.080.2010.00−0.02 to 0.030.7550.00−0.02 to 0.030.858
    Random effects
    σ20.460.160.14
    τ000.39 M2ID0.22 M2ID0.19 M2ID
    ICC0.460.590.58
    N234 M2ID235 M2ID234 M2ID
    Observations451458443
    Marginal R2/conditional R20.195/0.5630.294/0.7100.311/0.710
    • Repeated measured cognitive data nested within participant, indicated by M2ID. Sex coded as 0 = male, 1 = female. Education coded as −1 = high school or less, 0 = some college, 1 = bachelor's degree or higher. MIDUS wave coded as 0 = MIDUS 2, 1 = MIDUS 3. Years between waves (i.e., between MIDUS 2 and MIDUS 3 Cognitive Projects) and age at M2 Neuroscience Project are mean centered. Empirical Bayes slope estimation used (Bates et al., 2015).

    • Bold values are significant at p < .05.

    • View popup
    Table 8.

    Multilevel models to test Hypotheses 7b and 7d

    PredictorsEpisodic memoryExecutive functioningBTACT
    Estimates95% CIpEstimates95% CIpEstimates95% CIp
    Intercept (M2)−0.42−0.59 to −0.24<0.001−0.06−0.18 to 0.060.360−0.11−0.22 to 0.000.052
    MIDUS wave−0.13−0.26 to 0.000.057−0.44−0.52 to −0.36<0.001−0.39−0.46 to −0.32<0.001
    IAPF0.08−0.05 to 0.210.2250.01−0.07 to 0.100.7970.02−0.06 to 0.100.610
    Age−0.02−0.03 to −0.010.005−0.02−0.03 to −0.02<0.001−0.02−0.03 to −0.02<0.001
    Sex0.720.51 to 0.93<0.0010.11−0.04 to 0.250.1450.210.08 to 0.350.002
    Education0.170.04 to 0.290.0090.140.06 to 0.220.0010.140.06 to 0.21<0.001
    Lag between waves−0.09−0.20 to 0.020.116−0.21−0.29 to −0.13<0.001−0.19−0.26 to −0.12<0.001
    Wave × IAPF0.05−0.09 to 0.180.4830.07−0.01 to 0.150.0710.07−0.01 to 0.140.076
    Wave × age−0.01−0.02 to 0.000.1650.00−0.01 to 0.010.741−0.00−0.01 to 0.010.994
    IAPF × age0.00−0.01 to 0.010.8360.00−0.00 to 0.010.3500.00−0.00 to 0.010.374
    Wave × IAPF × age0.00−0.01 to 0.010.896−0.00−0.01 to 0.000.301−0.00−0.01 to 0.000.379
    Random effects
    σ20.470.150.14
    τ000.38 M2ID0.22 M2ID0.19 M2ID
    ICC0.450.590.58
    N234 M2ID235 M2ID234 M2ID
    Observations451458443
    Marginal R2/conditional R20.203/0.5590.298/0.7130.318/0.715
    • Repeated measured cognitive data nested within participant, indicated by M2ID. Sex coded as 0 = male, 1 = female. Education coded as −1 = high school or less, 0 = some college, 1 = bachelor's degree or higher. MIDUS wave coded as 0 = MIDUS 2, 1 = MIDUS 3. Years between waves (i.e., between MIDUS 2 and MIDUS 3 Cognitive Projects) and age at M2 Neuroscience Project are mean centered. Empirical Bayes slope estimation used (Bates et al., 2015).

    • Bold values are significant at p < .05.

    • View popup
    Table 9.

    Multilevel models examine the interaction between aperiodic exponent and individual peak α frequency

    PredictorsEpisodic memoryExecutive functioningBTACT
    Estimates95% CIpEstimates95% CIpEstimates95% CIp
    Intercept (M2)−0.43−0.60 to −0.25<0.001−0.07−0.19 to 0.050.228−0.13−0.24 to −0.020.024
    MIDUS wave−0.12−0.25 to 0.010.069−0.41−0.49 to −0.34<0.001−0.37−0.44 to −0.30<0.001
    Exponent0.06−0.41 to 0.530.8020.13−0.19 to 0.450.4170.13−0.17 to 0.420.393
    IAPF0.07−0.06 to 0.200.2690.02−0.07 to 0.110.6340.03−0.05 to 0.110.482
    Age−0.02−0.03 to −0.01<0.001−0.02−0.03 to −0.02<0.001−0.02−0.03 to −0.02<0.001
    Sex0.730.52 to 0.94<0.0010.11−0.03 to 0.260.1350.220.08 to 0.350.002
    Education0.170.05 to 0.300.0070.140.06 to 0.220.0010.140.07 to 0.22<0.001
    Lag between waves−0.09−0.21 to 0.020.116−0.21−0.29 to −0.13<0.001−0.20−0.27 to −0.12<0.001
    Wave × exponent0.09−0.39 to 0.580.714−0.08−0.36 to 0.190.546−0.03−0.29 to 0.230.826
    Wave × IAPF0.07−0.06 to 0.200.3140.06−0.02 to 0.130.1460.06−0.01 to 0.130.118
    Exponent × IAPF−0.07−0.51 to 0.380.773−0.15−0.44 to 0.150.327−0.14−0.42 to 0.130.316
    Wave × exponent × IAPF0.20−0.26 to 0.670.3970.340.07 to 0.610.0130.330.08 to 0.590.010
    Random effects
    σ20.470.150.13
    τ000.38 M2ID0.23 M2ID0.19 M2ID
    ICC0.440.600.59
    N234 M2ID235 M2ID234 M2ID
    Observations451458443
    Marginal R2/conditional R20.202/0.5570.302/0.7220.323/0.724
    • Repeated measured cognitive data nested within participant, indicated by M2ID. Sex coded as 0 = male, 1 = female. Education coded as −1 = high school or less, 0 = some college, 1 = bachelor's degree or higher. MIDUS wave coded as 0 = MIDUS 2, 1 = MIDUS 3. Years between waves (i.e., between MIDUS 2 and MIDUS 3 Cognitive Projects) and age at M2 Neuroscience Project are mean centered. Empirical Bayes slope estimation used (Bates et al., 2015).

    • Bold values are significant at p < .05.

    • View popup
    Table 10.

    Examining the wave × aperiodic exponent × individual peak α frequency interaction through the slope of the change in cognitive function over waves for each BTACT measure at high and low levels of each EEG metric

    Change in BTACT episodic memory factor from M2 to M3
    Slope of IAPF95% CIp-value
    Low exponent (−1 SD)0.01−0.18 to 0.200.903
    High exponent (+1 SD)0.12−0.05 to 0.300.173
    Slope of exponent95% CIp-value
    Low IAPF (−1 SD)−0.11−0.67 to 0.450.709
    High IAPF (+1 SD)0.29−0.47 to 1.050.457
    Change in BTACT executive functioning factor from M2 to M3
    Slope of IAPF95% CIp-value
    Low exponent (−1 SD)−0.04−0.15 to 0.070.482
    High exponent (+1 SD)0.150.05 to 0.250.004
    Slope of exponent95% CIp-value
    Low IAPF (−1 SD)−0.42−0.75 to −0.090.013
    High IAPF (+1 SD)0.25−0.17 to 0.670.244
    Change in BTACT overall composite from M2 to M3
    Slope of IAPF95% CIp-value
    Low exponent (−1 SD)−0.04−0.14 to 0.070.502
    High exponent (+1 SD)0.150.05 to 0.250.002
    Slope of exponent95% CIp-value
    Low IAPF (−1 SD)−0.36−0.67 to −0.040.025
    High IAPF (+1 SD)0.30−0.11 to 0.700.149
    • Bold values are significant at p < .05.

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The Journal of Neuroscience: 44 (13)
Journal of Neuroscience
Vol. 44, Issue 13
27 Mar 2024
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Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years
Anna J. Finley, Douglas J. Angus, Erik L. Knight, Carien M. van Reekum, Margie E. Lachman, Richard J. Davidson, Stacey M. Schaefer
Journal of Neuroscience 27 March 2024, 44 (13) e1332232024; DOI: 10.1523/JNEUROSCI.1332-23.2024

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Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years
Anna J. Finley, Douglas J. Angus, Erik L. Knight, Carien M. van Reekum, Margie E. Lachman, Richard J. Davidson, Stacey M. Schaefer
Journal of Neuroscience 27 March 2024, 44 (13) e1332232024; DOI: 10.1523/JNEUROSCI.1332-23.2024
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