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Articles, Behavioral/Cognitive

Task Encoding across the Multiple Demand Cortex Is Consistent with a Frontoparietal and Cingulo-Opercular Dual Networks Distinction

Ben M. Crittenden, Daniel J. Mitchell and John Duncan
Journal of Neuroscience 8 June 2016, 36 (23) 6147-6155; https://doi.org/10.1523/JNEUROSCI.4590-15.2016
Ben M. Crittenden
1Medical Research Council, Cognition and Brain Science Unit, Cambridge CB2 7EF, United Kingdom,
2University of Cambridge, Cambridge CB2 7EF, United Kingdom,
3Centre for Functional Magnetic Resonance Imaging of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford 0X3 9DU, United Kingdom, and
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Daniel J. Mitchell
1Medical Research Council, Cognition and Brain Science Unit, Cambridge CB2 7EF, United Kingdom,
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John Duncan
1Medical Research Council, Cognition and Brain Science Unit, Cambridge CB2 7EF, United Kingdom,
4Department of Experimental Psychology, University of Oxford, Oxford OX1 3UD, United Kingdom
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  • Figure 1.
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    Figure 1.

    Task rules. Subjects were trained to associate six different task rules with the color of a border surrounding the trial stimuli. Rules were grouped into three categories—semantic, lexical, and perceptual—with two alternative rules per category.

  • Figure 2.
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    Figure 2.

    Functional connectivity between MD ROIs. a, Fisher-transformed correlation values (Z) between all ROIs. Gray squares above the diagonal represent nonsignificant correlations. b, Mean connectivity strength within each subnetwork and between the two subnetworks. Connections between hemispheric homologs (e.g., DLPFC–DLPFC) were not included. Significant differences at the level p < 0.05 are shown. c, Graphs resulting from a threshold of Z > 0.2 and Z > 0.5. Yellow nodes and lines represent the FP ROIs and the surviving connections between them. Red nodes and lines represent the CO ROIs and the surviving connections between them. Purple lines represent surviving connections between the two subnetworks. The smaller correlation matrix is the thresholded and rescaled version of the matrix shown in a. All values below the threshold are shown as dark blue as given by the color scale.

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    Figure 3.

    Functional connectivity of residual activity between MD ROIs. a, Mean connectivity within each subnetwork and between the two subnetworks. Significant differences at the level p < 0.05 are shown. b, Graph resulting from a threshold of Z > 0.3. For conventions, see Figure 2.

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    Figure 4.

    Task decoding across the multiple demand ROIs. The MD ROIs are shown on the central brain rendering. Results for FP ROIs are shown on the left and those for CO ROIs on the right. Within each ROI, each colored matrix shows mean CA for all task pairs averaged across participants. The bottom left of each matrix shows all CAs; the top right shows the same CAs but with nonsignificant CAs greyed out.

  • Figure 5.
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    Figure 5.

    Task decoding in FP and CO subnetworks. Blue indicates similar task decoding; orange dissimilar task decoding. Lighter colors indicate CO ROI and darker colors FP ROIs. a, Mean classification accuracy across subjects associated with each ROI separately for similar and dissimilar tasks. CO ROIs are shown on the left, FP ROIs on the right. b, Mean classification accuracies after averaging over CO and FP ROIs.

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    Figure 6.

    Univariate activity across the MD ROIs. a, Mean task-related change in β values relative to baseline in each of the MD ROIs across participants. Results show that all regions were more active when engaged on the task, but there is no clear difference in activation between the two subnetworks. b, t-values from a two-tailed, paired t test of β values shown in a against the implicit baseline across participants. Similar t-values give an indication that the signal-to-noise ratio of the univariate signal is comparable across the two subnetworks.

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    Figure 7.

    Mean parameter estimates of α and β after regression of classification accuracy on absolute response time differences. a, Mean value of α across participants for each of the two subnetworks. α values for both subnetworks were significantly greater than chance (50%) at the p < 0.05 level. b, Mean value of β across participants for each of the two subnetworks. Neither was significantly greater than 0.

Tables

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    Table 1.

    Mean response time (in milliseconds) of each task

    “shoebox”“animal”“A”“I”“shape”“height”
    Mean191715141869185216271790
    SD333301396395386312
    • View popup
    Table 2.

    p-values from pairwise comparisons

    “shoebox”“animal”“A”“I”“shape”“size”
    “shoebox”—
    “animal”<0.001—
    “A”0.58<0.001—
    “I”0.35<0.0010.76—
    “shape”0.0030.2160.030.01—
    “size”0.067<0.0010.0350.3310.002—
    • The p-values resulting from 2-tailed, paired t test of all pairwise comparisons between tasks are shown. Numbers in bold represent significant differences after Bonferroni correction.

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The Journal of Neuroscience: 36 (23)
Journal of Neuroscience
Vol. 36, Issue 23
8 Jun 2016
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Task Encoding across the Multiple Demand Cortex Is Consistent with a Frontoparietal and Cingulo-Opercular Dual Networks Distinction
Ben M. Crittenden, Daniel J. Mitchell, John Duncan
Journal of Neuroscience 8 June 2016, 36 (23) 6147-6155; DOI: 10.1523/JNEUROSCI.4590-15.2016

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Task Encoding across the Multiple Demand Cortex Is Consistent with a Frontoparietal and Cingulo-Opercular Dual Networks Distinction
Ben M. Crittenden, Daniel J. Mitchell, John Duncan
Journal of Neuroscience 8 June 2016, 36 (23) 6147-6155; DOI: 10.1523/JNEUROSCI.4590-15.2016
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Keywords

  • cognitive control
  • dual networks
  • executive function
  • multiple demand

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