A Deterministically Synchronized Widefield Imaging and Virtual Reality Platform for Multimodal Brain-Behavior...

Area of Science:

• Neuroscience
• Computational Neuroscience
• Biomedical Engineering

Background:

• Understanding large-scale neural dynamics during behavior requires simultaneous recording of brain activity, behavior, and virtual environments.
• Existing systems suffer from latency, jitter, and drift due to software-based synchronization, hindering fast brain-behavior interaction analysis.

Purpose of the Study:

• To present a novel, deterministically synchronized widefield calcium imaging platform.
• To achieve millisecond-precision temporal alignment across neural imaging, high-speed behavioral monitoring, and closed-loop virtual reality (VR).

Main Methods:

• Developed a platform unifying neural imaging, behavioral monitoring, and VR under a shared hardware-defined clock.
• Integrated dual-wavelength hemodynamic correction, pupil and orofacial tracking, locomotion sensing, and VR rendering.
• Ensured hardware-level synchronization without software timestamps, supporting widefield imaging up to 100 Hz.

Main Results:

• Achieved stable, hardware-level synchronization across all modalities with millisecond precision.
• Demonstrated a mean locomotion-to-VR update latency of approximately 1.5 ms.
• Validated robust temporal alignment between cortical activity, facial dynamics, pupil signals, and locomotion during VR navigation.

Conclusions:

• The platform offers a deterministic multimodal framework for studying brain-behavior relationships during active behavior.
• Enables causal investigation of brain-behavior interactions at millisecond precision.
• Provides a foundation for advanced closed-loop neuroengineering experiments.