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Research ArticleNew Research, Cognition and Behavior

Neural Determinants of Task Performance during Feature-Based Attention in Human Cortex

Michael Jigo, Mengyuan Gong and Taosheng Liu
eNeuro 19 February 2018, 5 (1) ENEURO.0375-17.2018; https://doi.org/10.1523/ENEURO.0375-17.2018
Michael Jigo
1Department of Psychology, Michigan State University, East Lansing, MI 48824
2Center for Neural Science, New York University, New York, NY 10003
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Mengyuan Gong
1Department of Psychology, Michigan State University, East Lansing, MI 48824
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Taosheng Liu
1Department of Psychology, Michigan State University, East Lansing, MI 48824
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  • Figure 1.
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    Figure 1.

    Schematic of the attention and baseline tasks. A, Sequence of a valid trial in the attention task. Size of curved arrows illustrates the speed of rotation. The fixation cross is either yellow or cyan (color not shown). B, Sequence of a target-absent trial in the baseline task. For ease of illustration, frames depict black stimuli on a white background (colors are reversed in the actual experiment).

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    Figure 2.

    Behavioral results in the scanner. Error bars indicate ± within-subject SEM following the method of Cousineau (2005).

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    Figure 3.

    Univariate results. A, Group r 2 map of the attention task shown on an inflated Caret atlas surface. The approximate locations of retinotopically-defined (V1-7, MT+, IPS1, and IPS2) and task-defined (FEF and IFJ) areas are indicated by lines. B, Mean BOLD response in the attention task from two ROIs (V1 and IPS1). The error bar on the first time point is the average ± within-subject SEM across all time points.

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    Figure 4.

    Schematic of the correlation analysis. Each matrix represents the spatial pattern of response amplitudes from voxels within a ROI (amplitude is color coded according to the scale bar at the bottom). The middle column of matrices (shaded area labeled “baseline”) illustrates the baseline neural response pattern to each direction (CW and CCW) during the baseline task. The other two columns illustrate the neural response pattern to an attended motion direction during correct and incorrect trials during the attention task. The black double-sided arrows between matrices represent the correlations that were calculated (Pearson’s r) and the bounded lines represent the averaging of correlation coefficients across directions to obtain an overall index of attentional priority quality for correct and incorrect trials.

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    Figure 5.

    Average neural patterns for prioritized features in occipital and frontoparietal areas vary with task performance. Group-average Fisher-transformed correlation coefficients (averaged across motion directions) are shown, which reflect the similarity of neural patterns of activity between the attention and baseline tasks for correct and incorrect trials. The ExS label represents extrastriate visual areas. Error bars are ± within-subject SEM following the method of Cousineau (2005). Asterisks indicate the significance level in paired t tests (**p < 0.01, *p < 0.05).

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    Figure 6.

    Feature coding in PPC tracks trial-by-trial fluctuations in task performance. Group-average classification accuracies are shown and plotting conventions are the same as Figure 5.

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    Figure 7.

    Results of the TMS experiments. Each panel presents the results for stimulation centered on (A) left IPS1, (B) right IPS1, (C) right MT+, and (D) sham TMS. Plotting conventions are the same as Figure 5.

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    Table 1.

    Statistics table

    LineData/dependent variableType of testStatisticConfidence
    Results: behavior in scanner
    a1Hit – false alarmPaired t test (CW vs CCW)t = 0.65; DoF = 11;p = 0.53; CI = -0.10/0.057
    a2Paired t test (CW vs CCW)t = 2.18; DoF = 11;p = 0.052; CI = -0.11/0.0004
    Results: fMRI
    c1BOLD response amplitude by conditionTwo-way ANOVA (accuracy × direction)F = 5.51; DoF = (1,11)p = 0.039; general η2 = 0.014
    c2Two-way ANOVA (accuracy × direction)F = 8.30; DoF = (1,11)p = 0.015; general η2 = 0.018
    d1Correlation coefficients by accuracy condition (correct, incorrect)Paired t testt = 3.21; DoF = 11;p = 0.008; CI = 0.031/0.17
    d2Paired t testt = 3.30; DoF = 11;p = 0.007; CI = 0.036/0.18
    d3Paired t testt = 3.71; DoF = 11;p = 0.004; CI = 0.061/0.24
    d4Paired t testt = 2.62; DoF = 11;p = 0.024; CI = 0.024/0.27
    d5Paired t testt = 2.60; DoF = 11;p = 0.025; CI = 0.016/0.19
    d6Paired t testt = 2.20; DoF = 11;p = 0.049; CI = 0.0002/0.20
    e1Classification accuracies by accuracy condition (correct, incorrect)Paired t testt = 2.34; DoF = 11;p = 0.039; CI = 0.0028/0.093
    e2Permutation test (correct vs null)p = 10−3
    e3Permutation test (incorrect vs null)p = 10−4
    Results: TMS
    f1Hit – false alarmPaired t test (pre- vs poststimulation)t = 3.18; DoF = 11;p = 0.009; CI = 0.025/0.14
    f2Paired t test (pre- vs poststimulation)t = 0.12; DoF = 11;p = 0.91; CI = -0.069/0.076
    f3Paired t test (pre- vs poststimulation)t = 3.36; DoF = 11;p = 0.006; CI = 0.034/0.16
    f4Paired t test (pre- vs poststimulation)t = 0.57; DoF = 11;p = 0.58; CI = -0.044/0.075
    f5Two-way ANOVA (task × stimulation period)F = 9.40; DoF = (1,11)p = 0.011; general η2 = 0.018
    f6Two-way ANOVA (task × stimulation period)F = 5.28; DoF = (1,11)p = 0.042; general η2 = 0.010
    f7Paired t test (pre- vs poststimulation)t = 2.82; DoF = 11;p = 0.017; CI = 0.021/0.17
    f8Paired t test (pre- vs poststimulation)t = 2.26; DoF = 11;p = 0.045; CI = 0.0016/0.11
    f9Two-way ANOVA (task × stimulation period)F = 11.62; DoF = (1,11)p = 0.006; general η2 = 0.13
    f10Two-way ANOVA (task × stimulation period)F = 0.90; DoF = (1,11)p = 0.36; general η2 = 0.009
    f11Paired t test (pre- vs poststimulation)t = 1.60; DoF = 11;p = 0.14; CI = -0.14/0.021
    f12Paired t test (pre- vs poststimulation)t = 0.34; DoF = 11;p = 0.74; CI = -0.073/0.053
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Neural Determinants of Task Performance during Feature-Based Attention in Human Cortex
Michael Jigo, Mengyuan Gong, Taosheng Liu
eNeuro 19 February 2018, 5 (1) ENEURO.0375-17.2018; DOI: 10.1523/ENEURO.0375-17.2018

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Neural Determinants of Task Performance during Feature-Based Attention in Human Cortex
Michael Jigo, Mengyuan Gong, Taosheng Liu
eNeuro 19 February 2018, 5 (1) ENEURO.0375-17.2018; DOI: 10.1523/ENEURO.0375-17.2018
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Keywords

  • covert attention
  • fMRI
  • frontoparietal cortex
  • multivariate analysis
  • TMS

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