Estimation of Attention Indices in IVA Tests Using Optical Flow in ERP Brain Maps

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Esmaili Jami Ali; KHALILZADEH MOHAMMAD ALI; GHOSHUNI MAJID; Khalilzadeh Mohammad Mahdi

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Journal: Neuroscience Journal of Shefaye Khatam Year:2023 | Volume:11 | Issue:1 Page(s): 46-56

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Title

Estimation of Attention Indices in IVA Tests Using Optical Flow in ERP Brain Maps

Author(s)

Esmaili Jami Ali | KHALILZADEH MOHAMMAD ALI | GHOSHUNI MAJID | Khalilzadeh Mohammad Mahdi | Issue Writer Certificate

Keywords

Attention

Evoked Potentials

Optic Flow

Neuropsychological Tests

Abstract

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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APA: Copy

Esmaili Jami, Ali, KHALILZADEH, MOHAMMAD ALI, GHOSHUNI, MAJID, & Khalilzadeh, Mohammad Mahdi. (2023). Estimation of Attention Indices in IVA Tests Using Optical Flow in ERP Brain Maps. NEUROSCIENCE JOURNAL OF SHEFAYE KHATAM, 11(1 ), 46-56. SID. https://sid.ir/paper/1070725/en

Vancouver: Copy

Esmaili Jami Ali, KHALILZADEH MOHAMMAD ALI, GHOSHUNI MAJID, Khalilzadeh Mohammad Mahdi. Estimation of Attention Indices in IVA Tests Using Optical Flow in ERP Brain Maps. NEUROSCIENCE JOURNAL OF SHEFAYE KHATAM[Internet]. 2023;11(1 ):46-56. Available from: https://sid.ir/paper/1070725/en

IEEE: Copy

Ali Esmaili Jami, MOHAMMAD ALI KHALILZADEH, MAJID GHOSHUNI, and Mohammad Mahdi Khalilzadeh, “Estimation of Attention Indices in IVA Tests Using Optical Flow in ERP Brain Maps,” NEUROSCIENCE JOURNAL OF SHEFAYE KHATAM, vol. 11, no. 1 , pp. 46–56, 2023, [Online]. Available: https://sid.ir/paper/1070725/en

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