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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Functional brain network analysis reveals time-on-task related performance decline.

Yu Sun, Anastasios Bezerianos, Nitish Thakor

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    Summary
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    Mental fatigue from prolonged tasks disrupts brain network connectivity. This study reveals a trend towards disintegrated brain network topology, suggesting potential neural biomarkers for assessing mental fatigue.

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    Area of Science:

    • Neuroscience
    • Cognitive Psychology
    • Network Science

    Background:

    • Understanding the neural mechanisms of mental fatigue due to prolonged task engagement (time-on-task, TOT) is crucial for addressing performance decrements.
    • Current understanding of TOT's neural basis remains limited, necessitating advanced analytical approaches.

    Purpose of the Study:

    • To investigate the progression of mental fatigue and its neural underpinnings using electroencephalography (EEG) and graph theory.
    • To quantify changes in EEG functional connectivity within the lower alpha band during a demanding cognitive task.

    Main Methods:

    • Recorded EEG signals from 26 participants during a 20-minute psychomotor vigilance test.
    • Analyzed EEG data using a graph theoretical approach, dividing data into four quartiles to track TOT effects.
    • Quantified global and local network topology changes in the lower alpha frequency band (8-10 Hz).

    Main Results:

    • Observed a trend towards disintegrated brain network topology with increasing time-on-task.
    • Found significant increases in characteristic path length and decreases in small-worldness, indicating altered global network organization.
    • Identified reduced local interconnectivity in left frontal and central areas, contrasted by increased local properties in right parietal areas.

    Conclusions:

    • Prolonged cognitive tasks lead to a progressive reorganization of brain network topology, characterized by network disintegration.
    • Network metrics derived from EEG functional connectivity show promise as neural biomarkers for assessing mental fatigue.
    • Findings enhance comprehension of brain adaptation to sustained cognitive load and its impact on functional connectivity.