ITFTIowa Thin Film Technologies
ITFTInstitute of Tourism and Future Management Trends (India)
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With respect to rEEG, the main attention was on the intertrial analysis searching for differences between ERP and no-ERP conditions, using iTFT maps.
In the ERP iTFT map (Figure 7(a)), formations of cluster modes with label "FF" (bright yellow) containing P3-P4-PO7-Oz-PO8 can be observed from 312.5 ms to 750 ms at 2 Hz.
As for runs 6 and 7, neither ERP nor no-ERP iTFT maps of S2 revealed any characteristic cluster formation.
This can be observed over the ERP iTFT cluster formations in bins centered at 1.6, 2, 2.5, and 3.1 Hz (Figure 8(a)).
For S6 (r = 0.96), Figures 9(a) and 9(b) illustrate a section of the correspondent iTFT map of ERP and no-ERP conditions, respectively.
For rEEG, the iTFT maps exposed several differences between ERP and no ERP, and maybe the most notable and consistent feature was the arrangements of clusters labeled "FF" systematically appearing in ERP maps (Figures 7(a), 8(a), 9(a), and 10(a)) derived from the ITCM computation, contrasting with the absence of such patterns in the no-ERP maps (Figures 7(b), 8(b), 9(b), and 10(b)).
The insight given by the iTFT maps provides a qualitative measure of intertrial cluster consistency, which when combined with the TFL and TF maps becomes helpful to assess which clusters patterns are related to a specific mental task.
Finally, to summarize the contributions, the proposed framework incorporates several features useful for PS analysis, such as iTFT and TFL maps, taking into account some aspects like frequency nonstationarity and flexibility of use of other synchronization measures besides PLF.
Caption: Figure 3: Depiction of how an iTFT map (blue background) is constructed.