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Related Concept Videos

Long-term Potentiation01:35

Long-term Potentiation

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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Related Experiment Video

Updated: Jul 8, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Long term sustained attention alters dynamic functional connectivity patterns.

Jia Liu, Nebojsa Malesevic, Christian Antfolk

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Mental fatigue impairs sustained attention. Dynamic brain network analysis using graph theory reveals that characteristic path length and clustering coefficient decrease over time, indicating cognitive decline.

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    Area of Science:

    • Neuroscience
    • Cognitive Science
    • Computational Neuroscience

    Background:

    • Mental fatigue significantly impacts performance efficiency and safety.
    • Functional connectivity analysis with graph theory effectively reveals cognitive resource changes due to mental fatigue.
    • Dynamic network reorganization is crucial for understanding cognitive abilities.

    Purpose of the Study:

    • To explore dynamic timescales of brain networks associated with sustained attention.
    • To investigate the effects of mental fatigue on functional brain networks.
    • To apply graph theory to analyze dynamic changes in brain networks during prolonged attention tasks.

    Main Methods:

    • Utilized an open EEG dataset from 21 subjects during a 60-minute sustained attention task.
    • Constructed connectivity matrices using the weighted phase lag index (wPLI) in the theta band.
    • Characterized dynamic graph measures, including characteristic path length (CPL) and clustering coefficient (CC).

    Main Results:

    • Frontal-parietal brain networks in the theta band are implicated in sustained attention.
    • Both CPL and CC showed a decrease over time-on-task when averaged across temporal and spatial activations.
    • These findings suggest a deterioration in the ability to sustain attention due to mental fatigue.

    Conclusions:

    • Mental fatigue leads to diminished sustained attention capabilities.
    • Graph theory analysis provides valuable insights into mental fatigue and its effects on brain networks.
    • Understanding dynamic brain network changes aids in studying attentional deficits and mental states in neurological conditions.