Exploring changes in brain function in IBD patients using SPCCA: a study of simultaneous EEG-fMRI.

Area of Science:

• Neuroscience
• Medical Imaging
• Biostatistics

Background:

• Emerging research investigates functional brain changes in inflammatory bowel disease (IBD).
• Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) offer multimodal insights into brain activity.
• Understanding brain-body interactions is crucial for IBD management.

Purpose of the Study:

• To compare the efficacy of Canonical Correlation Analysis (CCA), Kernel Canonical Correlation Analysis (KCCA), and Sparsity Preserving Canonical Correlation Analysis (SPCCA) in analyzing fused EEG-fMRI data from IBD patients.
• To identify distinct brain activation patterns in IBD patients compared to healthy controls (HC).
• To evaluate the superiority of SPCCA in processing high-dimensional multimodal neuroimaging data.

Main Methods:

• Simultaneous EEG-fMRI data acquisition from 25 IBD patients and 15 healthy individuals.
• Application and comparison of three data fusion and analysis techniques: CCA, KCCA, and SPCCA.
• Statistical analysis to determine significant differences in brain activation intensity between groups.

Main Results:

• Significant differences in brain activation intensity were observed between IBD patients and HC in multiple regions, including the frontal lobe, temporal lobe, posterior cingulate gyrus, gyrus rectus, and amygdala (p < 0.01).
• SPCCA demonstrated a higher mean difference in activation intensity (60.1) compared to CCA (36.9) and KCCA (49.8).
• SPCCA yielded higher correlations between selected components (up to 0.955) than CCA (0.917) and KCCA (0.926), indicating superior performance in multimodal data fusion.

Conclusions:

• SPCCA is a superior method for analyzing high-dimensional, multimodal neuroimaging data, such as fused EEG-fMRI.
• IBD is associated with significant alterations in brain activation patterns across various brain regions.
• This study provides a novel approach for analyzing brain states in IBD and understanding brain activation changes.