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Research ArticleResearch Article: Confirmation, Cognition and behavior

Unsupervised Characterization of Prediction Error Markers in Unisensory and Multisensory Streams Reveal the Spatiotemporal Hierarchy of Cortical Information Processing

Priyanka Ghosh, Siddharth Talwar and Arpan Banerjee
eNeuro 3 May 2024, 11 (5) ENEURO.0251-23.2024; https://doi.org/10.1523/ENEURO.0251-23.2024
Priyanka Ghosh
Cognitive Brain Dynamics Lab, National Brain Research Centre, Gurgaon 122052, India
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  • ORCID record for Priyanka Ghosh
Siddharth Talwar
Cognitive Brain Dynamics Lab, National Brain Research Centre, Gurgaon 122052, India
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Arpan Banerjee
Cognitive Brain Dynamics Lab, National Brain Research Centre, Gurgaon 122052, India
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Article Figures & Data

Figures

  • Tables
  • Extended Data
  • Figure 1.
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    Figure 1.

    Grand average of difference ERPs (deviant-standard) plotted across 21 subjects for conditions (A) audio-only, (B) visual-only, (C) audiovisual, (D) cross-audio, and (E) cross-visual conditions. Stimulus onset is at 0 ms and the activity before that [−200 to 0 ms] corresponds to the prestimulus baseline. The topoplots indicate the distribution of the respective MMN and P300 peaks in the sensor space. The topoplot on the top-left displays the color code assigned to respective scalp channel locations used for plotting the ERPs in A–E. For a curious reader, ERP from each condition, deviant, and standard are plotted at midline sensors in Extended Data Figure 1-1, along with SNR calculations in Extended Data Table 1-2.

  • Figure 2.
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    Figure 2.

    A, The topoplots correspond to the first four principal components (left to right) of the common spatial filter (Extended Data Figure 2-1) computed through PCA on the difference waveform of deviant minus standard trials together from all conditions. The λ values represent the fraction of variance explained by each principal component. The heatmaps on the left depict the time course of difference waveforms of individual participants after projection of the common spatial filter on the standard and deviant data of (B) audio-only, (C) visual-only, (D) audiovisual, (E) cross-audio, and (F) cross-visual conditions. On the right are the grand-averaged plots of the standard (blue), deviant (magenta), and difference (black) waveforms along with their shaded SEMs for (G) audio-only, (H) visual-only, (I) audiovisual, (J) cross-audio, and (K) cross-visual conditions.

  • Figure 3.
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    Figure 3.

    The violin plots represent the (A) MMN peak latencies corresponding to the (C) MMN peak amplitudes (maximum magnitude of the difference waveforms on the negative y-axis) of each participant. Similarly, the (B) P300 peak latencies corresponding to the (D) P300s peak amplitudes are plotted for each participant. The colored dots represent each participant's peak amplitude and peak latency values in µV and ms, respectively. The white dot at the center of the gray box in each violin represents the median of the data, and the gray box itself represents the inter-quartile range. The horizontal lines represent a significant difference (p < 0.05) between any two conditions obtained through Bonferroni-corrected post hoc analysis.

  • Figure 4.
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    Figure 4.

    eLORETA source localization results using time-locked analysis (99th percentile and above) representing the underlying (A) MMN and (B) P300 sources for audio, visual, audiovisual, cross-audio, and cross-visual modalities.

Tables

  • Figures
  • Extended Data
    • View popup
    Table 1.

    The table lists the standard and the deviant stimuli used in our oddball paradigm for all the five sensory modality conditions

    ConditionStandard/frequent/repetitiveDeviant/oddball/infrequent/nonrepetitive
    Unimodal audio (A)261.6 Hz523.3 Hz
    Unimodal visual (V)Blue squareRed triangle
    Bimodal audiovisual (AV)261.6 Hz and blue square523.3 Hz and red triangle
    Cross-modal (audio deviant CrA)Blue square523.3 Hz
    Cross-modal (visual deviant CrV)261.6 HzRed triangle
    • Extended Data Table 1-1 has details on the accuracy of participants.

    • View popup
    Table 2.

    Table shows the mean ± SD of the peak MMN amplitudes and their corresponding latencies across all the subjects for audio-only, visual-only, audiovisual (AV), cross-audio (CrA), and cross-visual (CrV) conditions

    MMNLatency (ms)Amplitude (μV)
    Audio180.81 ± 22.72−10.91 ± 3.33
    Visual187.76 ± 31.38−8.74 ± 3.06
    AV154.28 ± 28.88−11.18 ± 3.19
    CrA142.90 ± 22.92−11.37 ± 3.24
    CrV171.81 ± 15.19−10.11 ± 3.49
    • View popup
    Table 3.

    The table shows the mean ± SD of the peak P300 amplitudes and their corresponding latencies across all the subjects for audio-only, visual-only, audiovisual (AV), cross-audio (CrA), and cross-visual (CrV) conditions

    P300Latency (ms)Amplitude (μV)
    Audio337.34 ± 24.4512.13 ± 4.61
    Visual390.62 ± 24.5310.87 ± 3.34
    AV330.38 ± 25.7613.29 ± 3.87
    CrA328.81 ± 23.6112.59 ± 4.12
    CrV312.24 ± 29.929.23 ± 3.50
    • View popup
    Table 4.

    The table lists the brain areas underlying the peak MMN and P300 activations across the audio-only, visual-only, and audiovisual conditions

    ConditionMMNP300
    Audio-only

    SFG, left superior frontal gyrus

    PrG, left precentral gyrus

    PrG, right precentral gyrus

    PCL, left paracentral lobule

    STG, right superior temporal gyrus

    MTG, right middle temporal gyrus

    aSTS, anterior superior temporal sulcus

    SPL, right superior parietal lobule

    SFG, right superior frontal gyrus

    SFG, left superior frontal gyrus

    MFG, right middle frontal gyrus

    Visual only

    SFG, left superior frontal gyrus

    pSTS, right posterior superior temporal sulcus

    IPL, right inferior parietal lobule

    SFG, right superior frontal gyrus

    SFG, left superior frontal gyrus

    Audiovisual

    MFG, left middle frontal gyrus

    MTG, right middle temporal gyrus

    Left fusiform gyrus

    Left parahippocampal gyrus

    pSTS, right posterior superior temporal sulcus

    IPL, right inferior parietal lobule

    MVOcC, left medioventral occipital cortex

    LOcC, left lateral occipital cortex

    SFG, right superior frontal gyrus

    SFG, left superior frontal gyrus

    MFG, right middle frontal gyrus

    MFG, left middle frontal gyrus

    Left cingulate gyrus

    Cross-audio

    SFG, left superior frontal gyrus

    MFG, left middle frontal gyrus

    STG, right superior temporal gyrus

    MTG, right middle temporal gyrus

    IPL, right inferior parietal lobule

    SFG, right superior frontal gyrus

    SFG, left superior frontal gyrus

    MFG, right middle frontal gyrus

    Cross-visual

    SFG, right superior frontal gyrus

    SFG, left superior frontal gyrus

    MFG, left middle frontal gyrus

    MFG, right middle frontal gyrus

    SFG, right superior frontal gyrus

    SFG, left superior frontal gyrus

Extended Data

  • Figures
  • Tables
  • Table 1-1

    Counting accuracy of participants in different task conditions. Download Table 1-1, DOCX file.

  • Figure 1-1

    Group averaged ERP plots of all conditions across midline channels – FPz, Fz, FCz, Cz, CPz, Pz, POz, Oz. Red-yellow hue represents averaged oddball trials along anterior to posterior axis and purple-cyan hue displays standard trials correspondingly. Download Figure 1-1, TIF file.

  • Table 1-2

    The following table lists the signal-to-noise ratio (%) for each participant across all conditions. Please note the SNR was first computed for every channel and then averaged for each participant. Download Table 1-2, DOCX file.

  • Figure 2-1

    A) Common-spatial filter projected on the difference of oddball-standard data (averaged across all participants) for different conditions. B) Condition-specific filter projected on the difference of oddball-standard data (averaged across all participants) for different conditions. Download Figure 2-1, TIF file.

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eneuro: 11 (5)
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May 2024
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Unsupervised Characterization of Prediction Error Markers in Unisensory and Multisensory Streams Reveal the Spatiotemporal Hierarchy of Cortical Information Processing
Priyanka Ghosh, Siddharth Talwar, Arpan Banerjee
eNeuro 3 May 2024, 11 (5) ENEURO.0251-23.2024; DOI: 10.1523/ENEURO.0251-23.2024

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Unsupervised Characterization of Prediction Error Markers in Unisensory and Multisensory Streams Reveal the Spatiotemporal Hierarchy of Cortical Information Processing
Priyanka Ghosh, Siddharth Talwar, Arpan Banerjee
eNeuro 3 May 2024, 11 (5) ENEURO.0251-23.2024; DOI: 10.1523/ENEURO.0251-23.2024
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Keywords

  • MMN
  • multisensory facilitation
  • P300
  • prediction error
  • source localization

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