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Unraveling the Neural Network: Identifying Temporal Labeling of Visual Events through EEG-Based Functional Connectivity Analysis of Brain Regions

Biology

Unraveling the Neural Network: Identifying Temporal Labeling of Visual Events through EEG-Based Functional Connectivity Analysis of Brain Regions

S. Khoonbani and H. Ramezanian

This groundbreaking study, conducted by Sina Khoonbani and Hasan Ramezanian, delves into the brain's interconnectivity patterns related to time perception. Using EEG data, it uncovers fascinating insights into how predictability influences functional connectivity in different frequency bands, revealing the critical role of the right prefrontal cortex. Gain a deeper understanding of the neural mechanisms underpinning our perception of time.

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Playback language: English
Abstract
This study investigates the brain's interconnectivity patterns related to time perception in predictable and unpredictable conditions using EEG data. Functional connectivity analysis via Phase Lag Index (PLI) revealed significant variations in gamma, beta, and theta bands, more pronounced in predictable conditions. Unpredictable conditions showed increased alpha band connectivity between occipital and temporal regions at a 400-ms delay and distinct delta band patterns involving central and frontal regions. The right prefrontal cortex played a crucial role, and connectivity decreased across delta, theta, and beta bands at the longest delay (800 ms). These findings enhance our understanding of the neural mechanisms underlying time perception and the influence of predictability.
Publisher
Not specified in the provided text
Published On
Jan 01, 2023
Authors
Sina Khoonbani, Hasan Ramezanian
Tags
time perception
EEG data
functional connectivity
predictability
gamma band
alpha band
brain interconnectivity
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