Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means

Area of Science:

• Neuroscience
• Cognitive Science
• Brain Network Dynamics

Background:

• Neural oscillations are crucial for brain function, with lower frequencies linked to integrative communication.
• Previous studies suggest large-scale brain networks operate at very low frequencies (<1 Hz).
• Current methods like resting-state studies and frequency tagging have limitations in capturing multiple networks during cognitive tasks.

Purpose of the Study:

• To investigate if task-induced low frequency steady-state brain responses (lfSSBRs) can modulate large-scale brain networks in a frequency-specific pattern.
• To explore the frequency characteristics of brain network communication.
• To assess the impact of lfSSBRs on attention states.

Main Methods:

• Utilized a revised attention network test to evoke lfSSBRs.
• Measured lfSSBRs in the triple network system and sensory-motor system.
• Analyzed inter- and intranetwork synchronization and coherence at specific frequencies.

Main Results:

• lfSSBRs were successfully evoked in key brain systems, demonstrating frequency-specific modulation.
• Increased synchronization and coherence were observed at the fundamental frequency and first harmonic.
• No significant differences were found across different attention conditions, suggesting a general modulation of attention.

Conclusions:

• Large-scale brain networks can be modulated by lfSSBRs in a frequency-tagging manner.
• Information communication within and between networks is frequency-specifically modulated.
• lfSSBRs influence the general attention state more broadly than specific attention conditions.
• This approach offers a novel method for investigating frequency-specific brain activities.