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Assessing Field Dependence-Independence Cognitive Abilities Through EEG-Based Bistable Perception Processing.

Cristina Farmaki | Vangelis Sakkalis | Frank Loesche | Efi A Nisiforou
Frontiers in human neuroscience | 2019

Field Dependence-Independence (FDI) is a widely studied dimension of cognitive styles designed to measure an individual's ability to identify embedded parts of an organized visual field as entities separate from that given field. The research aims to determine whether the brain activity features that are considered to be perceptual switching indicators could serve as robust features, differentiating Field-Dependent (FD) from Field-Independent (FI) participants. Previous research suggests that various features derived from event related potentials (ERP) and frequency features are associated with the perceptual reversal occurring during the observation of a bistable image. In this study, we combined these features in the context of a different experimental scheme using ambiguous and unambiguous stimuli during participants' perceptual observations. We assessed the participants' FD-I classification with the use of the Hidden Figures Test (HFT). Results show that the peak amplitude of the frontoparietal positivity, the late positive deflection in frontal and parietal areas, is higher for the FD group at specific locations of the left lobe, whereas it occurs later for the FD group at the central and occipital electrodes. Additionally, the FD group exhibits higher levels of gamma power before stimulus onset at channel TP10 and higher gamma power during reversal at the right centroparietal electrodes (T8, CP6, and TP10). The peak amplitude of the reversal positivity, the positive deflection during the reversal, is higher for the FD group at the rear right lobe (P4).

Pubmed ID: 31680904

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mBT: mBrainTrain Smarting PRO 32 (tool)

RRID:SCR_017634

24 channel mobile electroencephalographic recording system. Supports synchronization with other sensors and simultaneous multi amplifier streaming via labstreaming layer. Wearable device that features motion sensors so body and head movements can be detected.

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