Data Sheet 1_Comparative evaluation of diffusion models for detecting gray matter microstructural alterations in post-stroke depression patients.docx

Altered gray matter microstructure was primarily identified in the middle frontal gyrus, posterior cingulate gyrus, paracingulate gyrus and amygdala. For group discrimination, the left anterior cingulate DKI MD_p10 demonstrated the best performance for distinguishing HC from non-PSD (AUC = 0.916). The left putamen NODDI ODI_p10 showed the highest AUC (0.916) for distinguishing HC from PSD, whereas the left putamen NODDI ODI_p50 yielded the highest AUC (0.856) for distinguishing non-PSD from PSD.

After FDR correction, multiple diffusion metrics were significantly correlated with MMSE and MoCA scores, whereas no imaging parameter showed a significant correlation with HAMD-21.</p>Conclusion<p>Multimodal diffusion MRI detects microstructural abnormalities within emotion- and cognition-related circuits, particularly the amygdala and cingulate cortex, across the three groups. Temporolimbic NODDI parameters showed relatively higher AUC values in distinguishing PSD from HC, whereas anterior cingulate DKI metrics showed relatively higher AUC values in differentiating non-PSD stroke patients from HC.

Combining multiple diffusion models may aid in the identification of PSD; however, these findings require further validation because infarct location was not adjusted for in the analyses.</p>