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Research ArticleNew Research, Cognition and Behavior

Longitudinal Changes in Component Processes of Working Memory

Anna Rieckmann, Sara Pudas and Lars Nyberg
eNeuro 6 March 2017, 4 (2) ENEURO.0052-17.2017; DOI: https://doi.org/10.1523/ENEURO.0052-17.2017
Anna Rieckmann
1Department of Radiation Sciences, Umeå University, 901 87 Umeå, Sweden
2Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
3Department of Integrative Medical Biology, Umeå University, 901 87 Umeå, Sweden
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Sara Pudas
2Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
3Department of Integrative Medical Biology, Umeå University, 901 87 Umeå, Sweden
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Lars Nyberg
1Department of Radiation Sciences, Umeå University, 901 87 Umeå, Sweden
2Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
3Department of Integrative Medical Biology, Umeå University, 901 87 Umeå, Sweden
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  • Figure 1.
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    Figure 1.

    Condition-general longitudinal increase in parietal activity over 4 years. A, Changes in brain activity over 4 years are observed in right inferior parietal cortex for maintenance and manipulation. Purple outlines, areas that were activate at baseline; red-yellow colors, significant increases (p < 0.05, FWE corrected). B, Corresponding bar graph for right and left inferior parietal cortex are based on peak activity in this region identified in a conjunction analysis of both conditions; cf. Table 1 for cluster statistics.

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    Figure 2.

    Condition-specific (manipulation–maintenance) decrease in brain activity over 4 years. Purple outlines, areas that were active at baseline; red-yellow color, significant decreases in left prefrontal cortex (p < 0.0001, uncorrected). Corresponding bar graphs for left lateral prefrontal cortex are based on peak activity in this region; cf. Table 1.

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    Figure 3.

    Dropout analysis. Increased levels of brain activity in right inferior parietal cortex (β values from the cluster identified in Table 1) for dropouts at baseline (A). Voxelwise analysis of higher brain activity during the maintenance condition in dropouts > returners shown in red-yellow (p < 0.0001, uncorrected for illustration), overlaid onto the purple outline of the brain areas implicated in maintenance in the dropouts.

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    Figure 4.

    Subgroup analyses. A, WM performance (hits – false alarms, manipulation–maintenance) by time point for subgroups decliners (n = 50) and stable (n = 50). B, fMRI activation (β) by subgroup, brain region, and time.

Tables

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    Table 1.

    Peak loci of activation changes (increases and decreases)

    ContrastLocationTkThreshold
    Condition-general (manipulation and maintenance)
        Increases44 –52 30 (right parietal cortex)*4.9138<0.05†
    –54 –52 –18 (left temporal cortex)4.563<0.05†
    –32 –62 34 (left parietal cortex)*4.3859<0.0001
        Decreases—Not significant
    Condition-specific (manipulation–maintenance)
        Increases—Not significant
        Decreases–46 28 22 (lateral PFC) *4.20440<0.0001‡
    • ↵* Activation from these clusters are used in post hoc analyses (main text).

    • ↵† Corrected family-wise error rate at voxel level.

    • ↵‡ Corrected family-wise error rate at cluster level .

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    Table 2.

    Task performance (hits – false alarms and SD) by condition

    Condition
    TaskControlMaintenanceManipulation
    Baseline (n = 136)8.63 (0.63)8.37 (0.81)7.35 (1.45)
    Follow-up (n = 136)8.70 (0.65)8.41 (0.94)7.08 (1.44)
    Dropouts at baseline (n = 81)8.57 (0.10)8.12 (0.12)6.77 (0.16)
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    Table 3.

    Predictors of later dropout

    VariableORSEp
    Bilateral parietal activation1.690.17<0.01
    DLPFC activation0.960.160.79
    Global brain atrophy0.810.180.24
    Sex (reference category male)1.950.310.03
    Manipulation performance (hits – false alarms)0.790.020.03
    Age (years)1.020.020.37
    • Dependent variable, dropout (yes/no). Predictors: bilateral parietal activation, z-scored baseline activation, averaged across manipulation and maintenance; DLPFC activation, z-scored baseline activation; global brain atrophy, global brain volum, z-scored, corrected for intracranial volume.

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    Table 4.

    Statistical table

    LineData/dependent variableType of testStatisticConfidence
    Methods: performance subgroups
    a    Hits – false alarms baseline (manipulation–maintenance)t-testt = 0.50; DoF = 98p = 0.62; CI = –0.30/0.50
    b    Hits – false alarms follow-up (manipulation–maintenance)t-testt = –10.42; DoF = 98p < 0.001; CI = –2.57/–1.75
    c    Baseline age (years)t-testt = 0.28; DoF = 98p = 0.78; CI = –2.12/2.81
    d    Educationt-testt = –0.65; DoF = 98p = 0.52; CI = –2.73/1.40
    e    Sum of correct responses n-back, baselinet-testt = –0.79; DoF = 98p = 0.43; CI = –2.31/0.99
    f    Sum of correct responses n-back, follow-upt-testt = –2.01; DoF = 98p = 0.05; CI = –2.94/–0.02
    Results: FMRI second level voxelwise analyses using SPM12
    g1    Contrast values, maintenance–controlMultiple regression at baseline (cross-sectional age effect)p > 0.0001, no significant clusters
    g2Paired t-test, baseline to follow-up (longitudinal effect)t = 5.21; DoF = 135p = 0.006corrected
    g3Multiple regression (time × age)No significant clusters
    g4t-test (dropout vs. returners)t = 4.65p < 0.03corrected
    h1    Contrast values, manipulation–controlMultiple regression at baseline (cross-sectional age effect)p > 0.0001, no significant clusters
    h2Paired t-test, baseline to follow-up (longitudinal effect)t = 5.11 DoF = 135p = 0.009corrected
    h3Multiple regression (time × age)No significant clusters
    h4t-test (dropout vs. returners)t > 3.13P < 0.001uncorrected
    i1    Contrast values, manipulation–maintenanceMultiple regression at baseline (cross-sectional age effect)p > 0.0001, no significant clusters
    i2Paired t-test, baseline to follow-up (longitudinal effect)cf. Table 1
    i3Multiple regression (time × age)No significant clusters
    j    Contrast values, (1) maintenance–control; (2) manipulation–controlConjunctioncf. Table 1
    Results: post hoc/individual difference analyses
    k    Right and left parietal β (maintenance–control, follow-up – baseline)Pearson’s correlationr = 0.83; DoF = 136p < 0.01; CI = 0.58/0.92
    l    Right and left parietal β (manipulation–control, follow-up – baseline)Pearson’s correlationr = 0.68; DoF = 136p < 0.01; CI = 0.35/0.85
    m    DLPFC β (manipulation–control)Paired t-testt = 2.50; DoF = 135p = 0.01; CI = 0.02/0.19
    n    DLPFC β (maintenance–control)Paired t-testt = 0.97; DoF = 135p = 0.33; CI = –0.11/0.04
    o    DLPFC β (manipulation–maintenance, follow-up – baseline), bilateral parietal beta (average manipulation and maintenance, follow-up – baseline)Pearson’s correlationr = 0.11; DoF = 136p = 0.20; CI = –0.06/0.29
    p    Performance (hits – false alarms) by conditionTwo-way ANOVAF = 4.82; DoF = 135p = 0.03; partial η2 = 0.03
    q    DLPFC β (manipulation–maintenance)Three-way ANOVAF = 5.63; DoF = 98p = 0.02; partial η2 = 0.05
    rPaired t-testt = 3.09; DoF = 49p < 0.01; CI = 0.08/0.36
    sPaired t-testt = 0.54; DoF = 49p = 0.59; CI = –0.07/0.13
    t    Bilateral parietal β (maintenance–control, baseline)t-testt = –3.59; DoF = 215p < 0.01; CI = –0.21/–0.03
    u    Bilateral parietal β (manipulation–control, baseline)t-testt = –2.70; DoF = 215p = 0.01; CI = –0.19/–0.03
    v    Outcome: dropout (yes/no)Logistic regressioncf. Table 3
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Longitudinal Changes in Component Processes of Working Memory
Anna Rieckmann, Sara Pudas, Lars Nyberg
eNeuro 6 March 2017, 4 (2) ENEURO.0052-17.2017; DOI: 10.1523/ENEURO.0052-17.2017

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Longitudinal Changes in Component Processes of Working Memory
Anna Rieckmann, Sara Pudas, Lars Nyberg
eNeuro 6 March 2017, 4 (2) ENEURO.0052-17.2017; DOI: 10.1523/ENEURO.0052-17.2017
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