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Research ArticleNew Research, Cognition and Behavior

Two Sides of the Same Coin: Distinct Sub-Bands in the α Rhythm Reflect Facilitation and Suppression Mechanisms during Auditory Anticipatory Attention

Hesham A. ElShafei, Romain Bouet, Olivier Bertrand and Aurélie Bidet-Caulet
eNeuro 17 July 2018, 5 (4) ENEURO.0141-18.2018; https://doi.org/10.1523/ENEURO.0141-18.2018
Hesham A. ElShafei
1Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center; CRNL, Institut National de la Santé et de la Recherche Médicale Unité 1028, Centre National de la Recherche Scientifique Unité Mixte de Recherche 5292, Université de Lyon, Lyon, France 69500
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Romain Bouet
1Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center; CRNL, Institut National de la Santé et de la Recherche Médicale Unité 1028, Centre National de la Recherche Scientifique Unité Mixte de Recherche 5292, Université de Lyon, Lyon, France 69500
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Olivier Bertrand
1Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center; CRNL, Institut National de la Santé et de la Recherche Médicale Unité 1028, Centre National de la Recherche Scientifique Unité Mixte de Recherche 5292, Université de Lyon, Lyon, France 69500
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Aurélie Bidet-Caulet
1Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center; CRNL, Institut National de la Santé et de la Recherche Médicale Unité 1028, Centre National de la Recherche Scientifique Unité Mixte de Recherche 5292, Université de Lyon, Lyon, France 69500
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  • Figure 1.
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    Figure 1.

    Protocol. Top row, In informative trials (67% of all trials), a one-sided visual cue (200-ms duration) indicated in which ear (left or right) the target sound will be played (100-ms duration) after a fixed 1000-ms delay. Bottom row, In uninformative trials (33% of all trials), a two-sided visual cue (200-ms duration) did not provide any indication in which ear (left or right) the target sound will be played. In 25% of all trials (not depicted in figure), a binaural distracting sound (300-ms duration), such as a phone ring, was played during the delay between cue and target.

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    Figure 2.

    Mean of median RT (ms) per condition; **p < 0.01. Error bars represent SEM.

  • Figure 3.
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    Figure 3.

    Comparison between low (7–11 Hz; left panel) and high (11–15 Hz; right panel) α activity. First row, Topographical maps of baseline corrected (−600 to −200 ms pre-cue onset) α power averaged in the respective frequency bands during two latency windows: (1) 200–600 ms and (2) 600–1000 ms, relative to cue onset. Sensors highlighted with black dots present α activities statistically significant from the baseline using cluster-based permutation tests and sensors highlighted by black boxes were used to represent the time-frequency activity in the second row. Second row, Time-frequency representations of α power baseline corrected (−600 to −200 ms pre-cue onset) averaged across sensors highlighted by the black boxes over the topographical maps on the first row. Third row, Distributions of t values, masked at p < 0.05, from cluster-based permutation tests contrasting time-frequency windows of interest against baseline activity at the source level.

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    Figure 4.

    Source level activity. A, Time course of α (relative to baseline) between 7–11 and 11–15 Hz, for occipital and auditory virtual electrodes averaged across both hemispheres. Note that subtracting the evoked response from single trials before time-frequency transformation only partially removed the evoked response to the target in the α bands. B, Boxplot of Individual α peak frequency in visual and auditory regions. C, Relative power spectrum averaged between 600 and 1000 ms post-cue in visual and auditory regions.

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    Figure 5.

    α Power (relative to baseline) averaged between 600 and 1000 ms (post-cue onset) at 9 Hz (left panel) and 13 Hz (right panel) for the three cue conditions; *p < 0.05, **p < 0.01. Error bars represent SEM.

  • Figure 6.
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    Figure 6.

    A, Topography of t values, masked at p < 0.05, from cluster-based permutation testing of the significance of the correlation between α activity (900–1200 ms, 10–15 Hz) and RT at the sensor level. B, Time-frequency distribution of t values, masked at p < 0.05, averaged across sensors highlighted by the black box on the topography in A. C, t values source distributions, masked at p < 0.05, from cluster-based permutation testing of the significance of the correlation between α activity (900–1200 ms, 10–16 Hz) and RT. Please note, that negative t values signify negative correlation between RTs and α activity.

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    Table 1.

    Brain regions displaying significant α activity modulations in the low (7–11 Hz) or high (11–15 Hz) α frequency bands in two time windows on baseline contrast in the source level

    7–11 HzEarly time window (200–600 ms)Late time window (600–1000 ms)
    Left and right ↓:
    Heschl gyrus
    Inferior, middle, and STG calcarine
    Cuneus
    Inferior, middle, and superior occipital gyri
    Inferior parietal gyrus
    Postcentral gyrus
    Precentral gyrus
    Precuneus
    Supp. motor area
    Left and right ↓:
    Heschl gyrus
    Inferior, middle, and STG
    Inferior parietal gyrus
    Postcentral gyrus
    Precentral gyrus
    Supp. motor area
    11–15 HzEarly time window (200–600 ms)Late time window (600–1000 ms)
    Left and right ↓:
    Calcarine
    Cuneus
    Inferior and middle occipital gyri
    Inferior and middle temporal gyri
    Left and right ↑:
    Calcarine
    Cuneus
    Precuneus
    Inferior and middle occipital gyri
    Inferior and middle temporal gyri
    Inferior and superior parietal gyri
    • Up-arrows indicate α synchronization (relative increase in power) while down-arrows indicate α desynchronization (relative decrease in power).

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    Table 2.

    Significant results of the LME model testing the modulation of α activity by cue laterality, hemisphere, and frequency

    Factorp valuef statistic
    Hemisphere0.025.3
    Frequency<0.001141
    Cue laterality by hemisphere0.014.0
    Cue laterality by hemisphere by frequency0.043.1
    • The interaction of interest is highlighted in bold.

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Two Sides of the Same Coin: Distinct Sub-Bands in the α Rhythm Reflect Facilitation and Suppression Mechanisms during Auditory Anticipatory Attention
Hesham A. ElShafei, Romain Bouet, Olivier Bertrand, Aurélie Bidet-Caulet
eNeuro 17 July 2018, 5 (4) ENEURO.0141-18.2018; DOI: 10.1523/ENEURO.0141-18.2018

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Two Sides of the Same Coin: Distinct Sub-Bands in the α Rhythm Reflect Facilitation and Suppression Mechanisms during Auditory Anticipatory Attention
Hesham A. ElShafei, Romain Bouet, Olivier Bertrand, Aurélie Bidet-Caulet
eNeuro 17 July 2018, 5 (4) ENEURO.0141-18.2018; DOI: 10.1523/ENEURO.0141-18.2018
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Keywords

  • α
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