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Visual Feature Integration Indicated by pHase-Locked Frontal-Parietal EEG Signals

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  • Steven Phillips
  • Yuji Takeda
  • Archana Singh

Abstract

The capacity to integrate multiple sources of information is a prerequisite for complex cognitive ability, such as finding a target uniquely identifiable by the conjunction of two or more features. Recent studies identified greater frontal-parietal synchrony during conjunctive than non-conjunctive (feature) search. Whether this difference also reflects greater information integration, rather than just differences in cognitive strategy (e.g., top-down versus bottom-up control of attention), or task difficulty is uncertain. Here, we examine the first possibility by parametrically varying the number of integrated sources from one to three and measuring phase-locking values (PLV) of frontal-parietal EEG electrode signals, as indicators of synchrony. Linear regressions, under hierarchical false-discovery rate control, indicated significant positive slopes for number of sources on PLV in the 30–38 Hz, 175–250 ms post-stimulus frequency-time band for pairs in the sagittal plane (i.e., F3-P3, Fz-Pz, F4-P4), after equating conditions for behavioural performance (to exclude effects due to task difficulty). No such effects were observed for pairs in the transverse plane (i.e., F3-F4, C3-C4, P3-P4). These results provide support for the idea that anterior-posterior phase-locking in the lower gamma-band mediates integration of visual information. They also provide a potential window into cognitive development, seen as developing the capacity to integrate more sources of information.

Suggested Citation

  • Steven Phillips & Yuji Takeda & Archana Singh, 2012. "Visual Feature Integration Indicated by pHase-Locked Frontal-Parietal EEG Signals," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-9, March.
    • Handle: RePEc:plo:pone00:0032502
    DOI: 10.1371/journal.pone.0032502
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    References listed on IDEAS

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    1. Yekutieli, Daniel, 2008. "Hierarchical False Discovery RateControlling Methodology," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 309-316, March.
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