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Abstract #1516

PMEEN: A Multimodal Imaging System Integrating PET, MRI, EEG, Eye-Tracking, and fNIRS for Advanced Analysis of Brain Function

Zhifang Wu1,2, Yameng Gu2,3, Jianbo Cao2, Sha Liu1, Lingzhi Hu2,3, Yang Li1, and Sijin Li1,2
1First Hospital of Shanxi Medical University, Taiyuan, China, 2Shanxi Medical University, Taiyuan, China, 3United Imaging Healthcare, Shanghai, China

Synopsis

Keywords: Multimodal, Multimodal, Spatial-Temporal, neuroimaging

Motivation: The study aims to capture brain signals in multimodal neuroimaging with precise temporal and spatial resolution, addressing the need to analyze brain function in neurological disorders like Alzheimer's, epilepsy, and major depressive disorder.

Goal(s): To develop a multimodal imaging system that synchronizes PET, MRI, EEG, eye-tracking, and fNIRS signals to detect the changes quantitatively in brain function and connectivity in patients with Alzheimer's disease, epilepsy, and major depressive disorder.

Approach: We integrated the PET/MR system with EEG, eye-tracking, and fNIRS, validated through visual stimulation, and tested on neurological patients.

Results: PMEEN successfully synchronized multimodal data, revealing distinct brain activity patterns in patients.

Impact: The PMEEN system’s precise synchronization of multimodal data enables deeper insights into brain function, advancing diagnostics and personalized treatments for neurological disorders. It opens new research avenues into complex brain interactions, revealing connections previously undetectable with single-modality techniques.

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Keywords