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Research ArticleNew Research, Cognition and Behavior

From State-to-Trait Meditation: Reconfiguration of Central Executive and Default Mode Networks

C. C. C. Bauer, S. Whitfield-Gabrieli, J. L. Díaz, E. H. Pasaye and F. A. Barrios
eNeuro 6 November 2019, 6 (6) ENEURO.0335-18.2019; DOI: https://doi.org/10.1523/ENEURO.0335-18.2019
C. C. C. Bauer
1McGovern Institute for Brain Research, MIT, Cambridge 02139, MA
2Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, QRO 76230, México
3Cognitive Neuroscience Laboratory at Boston VA Healthcare System, Brockton 02130, MA
4Department of Psychology, Northeastern University, Boston 02115, MA
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S. Whitfield-Gabrieli
1McGovern Institute for Brain Research, MIT, Cambridge 02139, MA
4Department of Psychology, Northeastern University, Boston 02115, MA
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J. L. Díaz
5Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, México
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E. H. Pasaye
2Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, QRO 76230, México
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F. A. Barrios
1McGovern Institute for Brain Research, MIT, Cambridge 02139, MA
2Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, QRO 76230, México
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  • Figure 1.
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    Figure 1.

    State-to-trait meditation brain activity changes of the fractional Amplitude of Low-Frequency Fluctuations (fALFFs). Aa, Brain regions showing trait changes in fALFF between meditators and HCs at baseline (HC rsBase < EM rsBase). Ab, Brain regions that show significant changes in fALFF during the meditation state in meditators (EM rsBase < EM Med). Ac, Brain regions that show significant changes in fALFF during the transition from state-to-trait meditation in meditators (EM rsBase < EM rsPost). B, Boxplot showing the mean fALFF z-scores in blue (DMN) and red (CEN) and PDA scores in green during baseline (rsBase), meditation (Med) and post-meditation (rsPost) for HCs and EMs. C, Schematic representation of state-to-trait contrasts. All stats shown are nonparametric (5000 permutations) with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05. Black dots represent subjects that lie beyond the whiskers.

  • Figure 2.
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    Figure 2.

    State-to-trait meditation functional connectivity (FC) changes. Aa, Brain regions showing trait FC changes between experienced meditators (EM) and healthy controls (HCs) at baseline (HC rsBase < EM rsBase). Ab, Brain regions that show significant FC changes during the meditation state in meditators (EM rsBase < EM Med). Ac, Brain regions that show significant FC changes during the transition from state-to-trait meditation in meditators (EM rsBase < EM rsPost). Dark green (DMN ROIs 1 and 2) and light green (CEN ROIs 3 and 4) clusters show in each case the seeds used to determine the shown contrast (Fig. 1Aa). B, Boxplot showing mean FC z-scores in blue (DMNs 1 and 2) and red (CENs 3 and 4) during baseline (rsBase), meditation (Med), and post-meditation (rsPost) for HCs and EMs. C, Schematic representation of state-to-trait contrasts. All stats shown are nonparametric (1000 permutations) with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05. Black dots represent subjects that lie beyond the whiskers.

  • Figure 3.
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    Figure 3.

    Correlations between Positive Diametric Activity (PDA) and Functional Connectivity (FC). A, Brain regions that show significant correlation between PDA and FC during the meditation state in experienced meditators (EM) (EM Med). B, Brain regions that show significant correlation between the change in PDA and change in FC during the transition from state-to-trait meditation (ΔEM = rsBase - rsPost). Dark green clusters at the Default Mode Network (DMN ROIs 1 and 2 from Fig. 1Aa) and bright green clusters at the Central Executive Network (CEN ROIs 3 and 4 from Fig. 1Aa) show in each case the seeds used to determine the estimated contrast. *nonparametric (1000 permutations) with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05; **parametric stats with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05.

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    Figure 4.

    Correlations between meditation hours (MedHrs) and functional connectivity (FC). A, Brain regions showing the correlation of MedHrs and FC at baseline for meditators. B, Brain regions that show significant correlation between MedHrs and FC during the meditation state in meditators (EM Med). C, Brain regions that show significant correlation between MedHrs and the change in FC during the transition from state-to-trait meditation in meditators (ΔEM = rsBase - rsPost). Dark green clusters at the Default Mode Network (DMN ROIs 1 and 2 from Fig. 1Aa) and bright green clusters at the Central Executive Network (CEN ROIs 3 and 4 from Fig. 1Aa) show in each case the seeds used to determine the estimated contrast. **nonparametric (1000 permutations) with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05.

Tables

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    Table 1.

    Differences in fractional Amplitude of Low-Frequency Fluctuations (fALFF) for the different meditation states

    RegionBAVoxelsMNI (x,y,z mm)p value*
    Meditation trait effects
    HC rsBase > EM rsBase
    Default Mode Network (DMN)
    Medial Temporal GyrusL 211302–66,–34,–60.02
    Medial Prefrontal CortexR 10186,60,260.01
    Medial Prefrontal CortexL 10147–2,58,120.05
    Central Executive Network (CEN)
    Inferior Frontal GyrusL 9405–34,6,340.01
    Inferior Frontal GyrusR 914454,20,200.03
    Inferior Parietal LobuleL 4074–54,–38,500.05
    Meditation state effects
    EM Med > EM rsBase
    Default Mode Network (DMN)
    No significant differencesN/AN/AN/AN/A
    Central Executive Network (CEN)
    Inferior Frontal GyrusR 911546,18,300.02
    Inferior Frontal GyrusL 982–44,10,260.03
    Meditation state-to-trait effects
    EM rsPost > EM rsBase
    Default Mode Network (DMN)
    No significant differencesN/AN/AN/AN/A
    Central Executive Network (CEN)
    Inferior Frontal GyrusL 917–46,18,340.02
    Inferior Frontal GyrusR 9450,28,380.05
    • Brodmann areas (BA), number of voxels and Montreal Neurological Institute coordinates (MNI).

      *All statistics are nonparametric (5000 permutations) with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05.

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    Table 2.

    Differences in functional connectivity (FC) for the different meditation states

    RegionConnectivityBAVoxelsMNI (x,y,z mm)p value*
    Meditation trait effects
    EM rsBase > HC rsBase
    Default Mode Network (DMN)
    Superior Frontal GyrusReducedL 11>1000–16,60,260.01
    Middle Frontal GyrusReducedL 9>200–26,26,320.01
    Inferior Parietal LobuleReducedL 40>200–38,–48,260.02
    Superior Temporal GyrusReducedR 38>20048,16,–200.03
    Central Executive Network (CEN)
    No significant differencesN/AN/AN/AN/AN/A
    Meditation state effects
    EM Med > EM rsBase
    Default Mode Network (DMN)
    No significant differencesN/AN/AN/AN/AN/A
    Central Executive Network (CEN)
    Middle frontal gyrusIncreasedL 10>200–29,48,150.02
    Middle frontal gyrusIncreasedR 10>20031,52,120.02
    Anterior cingulate cortexIncreasedL 32>2004,30,240.02
    Posterior cingulate cortexIncreasedR 31>2003,–31,380.03
    Inferior Parietal LobuleIncreasedL 40>200–38,–46,460.03
    State-to-trait effects
    EM rsPost > EM rsBase
    Default Mode Network (DMN)
    No significant differencesN/AN/AN/AN/AN/A
    Central Executive Network (CEN)
    PrecuneusIncreasedL 23>1000–2,–42,280.02
    Angular gyrusIncreasedR 39>100050,–66,330.02
    • Brodmann areas (BA), number of voxels and Montreal Neurological Coordinates (MIN).

      *nonparametric (1000 permutations) with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05.

    • View popup
    Table 3.

    Correlation between Positive Diametric Activity (PDA) and Functional Connectivity (FC) in experienced meditators (EM)

    RegionBAVoxelsMNI (x,y,z mm)p value*
    Meditation state effects
    EM Med PDA and EM FC
    Default Mode Network (DMN)seeds 1 and 2
    No correlationN/AN/AN/AN/A
    Central Executive Networkseeds 3, 4, and 5
    Inferior Frontal GyrusL 45>200–56,14,180.01
    Superior temporal lobeL 22>200–46,–16,80.03
    Posterioir cingulate cortexL 31>200–12,43,230.01
    Inferior Parietal LobuleL40>200–48,–64,500.02
    State-to-trait effects
    Δ PDA and Δ FC
    Default Mode Network (DMN)seeds 1 and 2
    Posterior Cingulate CortexL 31>2000,–36,340.02
    PrecuneusL 19>200–35,–74,340.02
    Limbic lobe, uncusL 20>200–28,–22,–340.03
    Central Executive Networkseeds 3, 4, and 5
    Medial frontal lobeL 6>200–16,–12,600.02
    Superior temporal lobeR 22>20056,2,60.01
    • ROIs 1,2,3,4 and 5 from Fig. 1Aa.

      *nonparametric (1000 permutations) with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05.

    • View popup
    Table 4.

    Correlation between meditation hours and Functional Connectivity (FC) in experienced meditators (EM)

    RegionRBAVoxelsMNI (x,y,z mm)p value*
    Meditation state effects
    Default Mode Network (DMN)seeds 1 and 2
    Middle frontal gyrus0.87R 10>20045,44,120.02
    Central Executive Network (CEN)seeds 3, 4, and 5
    No correlationsN/AN/AN/AN/AN/A
    State-to-trait effects
    Default Mode Network (DMN)seeds 1 and 2
    No correlationsN/AN/AN/AN/AN/A
    Central Executive Network (CEN)seeds 3, 4, and 5
    Posterior Cingulate Cortex0.63L 29>200–06,–44,140.03
    Trait effects
    Default Mode Network (DMN)seeds 1 and 2
    No correlationsN/AN/AN/AN/AN/A
    Central Executive Network (CEN)seeds 3, 4, and 5
    Medial Frontal Gyrus0.87L 10>200–06,44,80.01
    • ROIs 1,2,3,4 and 5 from Fig. 1Aa.

      *nonparametric (1000 permutations) with height threshold p < 0.05 and cluster-size FDR-corrected p < 0.05.

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From State-to-Trait Meditation: Reconfiguration of Central Executive and Default Mode Networks
C. C. C. Bauer, S. Whitfield-Gabrieli, J. L. Díaz, E. H. Pasaye, F. A. Barrios
eNeuro 6 November 2019, 6 (6) ENEURO.0335-18.2019; DOI: 10.1523/ENEURO.0335-18.2019

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From State-to-Trait Meditation: Reconfiguration of Central Executive and Default Mode Networks
C. C. C. Bauer, S. Whitfield-Gabrieli, J. L. Díaz, E. H. Pasaye, F. A. Barrios
eNeuro 6 November 2019, 6 (6) ENEURO.0335-18.2019; DOI: 10.1523/ENEURO.0335-18.2019
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Keywords

  • experienced meditators
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