Version 1
: Received: 28 June 2023 / Approved: 30 June 2023 / Online: 3 July 2023 (10:43:29 CEST)
How to cite:
Khoonbani, S.; Ramezanian, H. Exploring Temporal Discrimination of Visual Events though EEG-Based Functional Connectivity Analaysis of Brain Regions. Preprints2023, 2023062268. https://doi.org/10.20944/preprints202306.2268.v1
Khoonbani, S.; Ramezanian, H. Exploring Temporal Discrimination of Visual Events though EEG-Based Functional Connectivity Analaysis of Brain Regions. Preprints 2023, 2023062268. https://doi.org/10.20944/preprints202306.2268.v1
Khoonbani, S.; Ramezanian, H. Exploring Temporal Discrimination of Visual Events though EEG-Based Functional Connectivity Analaysis of Brain Regions. Preprints2023, 2023062268. https://doi.org/10.20944/preprints202306.2268.v1
APA Style
Khoonbani, S., & Ramezanian, H. (2023). Exploring Temporal Discrimination of Visual Events though EEG-Based Functional Connectivity Analaysis of Brain Regions. Preprints. https://doi.org/10.20944/preprints202306.2268.v1
Chicago/Turabian Style
Khoonbani, S. and Hassan Ramezanian. 2023 "Exploring Temporal Discrimination of Visual Events though EEG-Based Functional Connectivity Analaysis of Brain Regions" Preprints. https://doi.org/10.20944/preprints202306.2268.v1
Abstract
To investigate the intricate dynamics of brain activity when interacting with a dynamic environment, it is imperative to continuously generate and update expectations regarding forthcoming events and their corresponding sensory and motor responses. This study aims to explore the interconnectivity in time perception across predictable and unpredictable conditions. The necessary data for this study were acquired from EEG signals, sourced from an existing database that involved an experiment conducted on a group of healthy participants. The individuals were subjected to two distinct conditions, predictable and unpredictable, encompassing various time delays. The functional connectivity between brain regions was estimated using a method known as the phase lag index. This method was employed to discern disparities in time perception between the two conditions. A comprehensive comparison of the two conditions across different delays demonstrated noteworthy variations, particularly in the gamma, beta, and theta frequency bands. The differences between delays were more pronounced in the predictable condition. Subsequently, an in-depth analysis was conducted to scrutinize the dissimilarities between the conditions within each delay. Notably, significant differences were observed across all delays. In the unpredictable condition, an increase in connectivity was detected within the alpha band during the 400-ms delay, specifically between occipital and temporal regions. Moreover, the mean connectivity in the unpredictable condition surpassed that of the predictable condition. In the delta band, distinct connectivity patterns were observed across different delays, involving connections between central and frontal regions. Specifically, a heightened connectivity between central and prefrontal regions was noted during the 83-ms delay. Notably, the right hemisphere of the prefrontal cortex played a vital role in time perception. Furthermore, a decline in connectivity across the delta, theta, and beta bands was observed in both conditions during the longest delay (800 ms) when compared to other delays
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
