Presentation Information
[P-28-03]Quantitative Susceptibility Mapping of Brain Iron levels in three major psychiatric disorders
*Jinni Lin, Wei Wei, Tao Li (Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine(China))
Keywords:
major depressive disorder,bipolar disorder,schizophrenia,Quantitative Susceptibility Mapping,Brain Iron
Objective: This study analyzes brain iron level changes in patients with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ), and explores their association with clinical symptoms.Methods: We enrolled 62 MDD patients, 60 BD patients, 53 SCZ patients, and 91 healthy controls (HC). Clinical symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS), the Young Mania Rating Scale (YMRS), and the Hamilton Depression Scale (HAMD). Participants underwent 3.0 T magnetic resonance imaging for quantitative susceptibility mapping and T1-weighted images. Deep gray matter nuclei and cortical regions were segmented using atlas templates. Analysis of covariance was employed to investigate susceptibility differences among groups in each brain region, and partial least squares correlation analysis assessed correlations between abnormal brain iron levels and clinical symptoms.Results: MDD patients showed significantly lower brain iron levels in the nucleus accumbens, substantia nigra, red nucleus, and subthalamic nuclei compared to HC. The BD group showed lower brain iron levels in the substantia nigra and subthalamic nucleus, but higher levels in the parietal cortices. SCZ patients exhibited higher iron levels in the putamen, nucleus accumbens, ventral pallidum, red nucleus, and various cortical regions, with lower levels in the external pallidum, internal pallidum, substantia nigra, and subthalamic nucleus. Compared to MDD, BD had higher iron levels in several regions, while SCZ showed increased levels in multiple areas compared to both MDD and BD. Significant correlations were found between brain iron levels and HAMD scores in MDD (P = 0.001) and BD (P < 0.001), and between brain iron levels and PANSS scores in SCZ (P < 0.001).Conclusion: This study identifies distinct patterns of abnormal brain iron levels across MDD, BD, and SCZ, with correlations to clinical symptoms, suggesting that dysregulation of iron metabolism may contribute to the neuropathology of these disorders.