Key result
Optical flow features extracted from ERP brain maps showed high correlation with IVA test attention indicators, including consistency (0.90), prudence (0.88), and speed (0.85).
Why the study?
Interfering factors reduce the validity and reliability of conventional attention assessments, highlighting the need to analyze direct brain outputs during cognitive activities to identify relationships between event-related potentials and integrated visual and auditory test indices.
Does optical flow analysis of ERP brain maps correlate with attention indices in IVA tests in healthy volunteers?
Cross-Sectional (n=28)
Does optical flow analysis of ERP brain maps correlate with attention indices in IVA tests in healthy volunteers?
Effect estimate: Correlation indices ranging from 0.80 to 0.90
Optical flow analysis of ERP brain maps shows a high correlation with attention indicators in IVA tests, suggesting a significant relationship between brain electrical activity and attention ability.
Hypothesis-generating in healthy volunteers; leaves open validation and clinical translation in attention disorders.
Introduction:The evaluation of attention as one of the human cognitive abilities is of great importance.Although methods for assessing attention ability have been developed and used, the presence of interfering factors has reduced their validity and reliability.Therefore, using the direct outputs of the brain system and analyzing its function in cognitive activities has become very important.This research tries to identify a relationship between event-related potential (ERP) and integrated visual and auditory (IVA) test indices.Materials and Methods: EEG signals (19 channels) and IVA tests of 28 healthy volunteers (22 men and 6 women with an age range of 22 to 32 years) were recorded simultaneously.ERPs to auditory and visual stimuli were obtained by the simultaneous averaging method of extraction and brain topography for each stimulus.Using the Lucas-Kanade method, the optical flow was obtained on brain maps and movement vectors were identified and drawn in consecutive maps.The motion vectors show the location and the number of changes in the activity of each map compared to the other samples.Based on the local connectivity criteria, features were extracted from the brain graphs.The indicators of attention and response control, including vigilance, concentration, speed, caution, stability, endurance, and understanding, were obtained based on the IVA test and were estimated by the support vector-regression machine.Results: In order to evaluate the regression, the correlation index was calculated, which are vigilance (0/80), Focus (0/81), Speed (0/85), Prudence (0/88), consistency (0/90), Stamina (0/85), and comprehension (0/80).Conclusion: According to the high correlation coefficients obtained between the local characteristics of optical flow extracted from the brain graph of the ERP signals and the attention indicators in the IVA test, it can be suggested that there is a significant relationship between the electrical activity of the brain and the ability to pay attention.
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Jami et al. (2022) conducted a cross-sectional in Healthy volunteers (n=28). Optical flow features from ERP brain maps was evaluated on Correlation between optical flow features from ERP signals and attention indicators in the IVA test (Correlation indices ranging from 0.80 to 0.90). Optical flow features extracted from ERP brain maps showed high correlation with IVA test attention indicators, including consistency (0.90), prudence (0.88), and speed (0.85).
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