Mobile brain/body imaging of landmark-based navigation with high-density EEG

Area of Science:

• Neuroscience
• Cognitive Science
• Human Navigation

Background:

• Understanding the neural basis of spatial navigation is crucial for comprehending active exploration and learning.
• Traditional neuroimaging methods are often limited by static, motion-constrained paradigms, failing to capture multisensory integration during naturalistic navigation.
• The Mobile Brain/Body Imaging approach offers a solution to study navigation in more ecologically valid conditions.

Purpose of the Study:

• To explore the cortical correlates of landmark-based navigation in actively behaving young adults using immersive virtual reality.
• To investigate how sensorimotor, cognitive, and executive processes contribute to spatial navigation.
• To identify neural modulations associated with different phases and demands of navigation tasks.

Main Methods:

• Utilized the Mobile Brain/Body Imaging approach with high-density electroencephalography (EEG) and biometric measures.
• Participants navigated a Y-maze task in immersive virtual reality, allowing for active behavior and motion.
• Analyzed EEG data for cortical activity, including power changes in specific frequency bands (alpha, delta, theta, gamma).

Main Results:

• EEG analysis identified brain areas consistent with existing literature on landmark-based navigation.
• Mobile navigation revealed involvement of sensorimotor areas related to motor execution and proprioception, often missed in static paradigms.
• Observed alpha-power desynchronization during visual information gathering and transient time-frequency patterns linked to attentional and memory demands.

Conclusions:

• Combining mobile high-density EEG and biometric measures effectively reveals neural structures and modulations underlying ecological spatial navigation.
• This approach provides a more comprehensive understanding of the brain's role in active, real-world navigation compared to static methods.
• The findings highlight the importance of sensorimotor integration and dynamic neural patterns in spatial orientation and learning.