Neuromelanin-sensitive MRI of the substantia nigra distinguishes bipolar from unipolar depression

Author:

Kuai Xinping12,Shao Dandan34,Wang Shengyu34,Wu Pu-Yeh5,Wu Yan67,Wang Xuexue87

Affiliation:

1. Department of Radiology , Shanghai Municipal Hospital of Traditional Chinese Medicine, , 274 Middle Zhi-jiang Road, Shanghai 200071, China

2. Shanghai University of Traditional Chinese Medicine , Shanghai Municipal Hospital of Traditional Chinese Medicine, , 274 Middle Zhi-jiang Road, Shanghai 200071, China

3. Department of Radiology , Ruijin Hospital, , No. 999, Xiwang Road, Malu Town, Jiading, Shanghai 201800, China

4. Shanghai Jiao Tong University School of Medicine , Ruijin Hospital, , No. 999, Xiwang Road, Malu Town, Jiading, Shanghai 201800, China

5. MR Research China, GE Healthcare , Beijing 100176, China

6. Division of Mood Disorders , Shanghai Mental Health Center, , 600 Wan Ping Nan Road, Shanghai 200030, China

7. Shanghai Jiao Tong University School of Medicine , Shanghai Mental Health Center, , 600 Wan Ping Nan Road, Shanghai 200030, China

8. Department of Radiology , Shanghai Mental Health Center, , 600 Wan Ping Nan Road, Shanghai 200030, China

Abstract

Abstract Depression in bipolar disorder (BD-II) is frequently misdiagnosed as unipolar depression (UD) leading to inappropriate treatment and downstream complications for many bipolar sufferers. In this study, we evaluated whether neuromelanin-MR signal and volume changes in the substantia nigra (SN) can be used as potential biomarkers to differentiate BD-II from UD. The signal intensities and volumes of the SN regions were measured, and contrast-to-noise ratio (CNR) to the decussation of the superior cerebellar peduncles were calculated and compared between healthy controls (HC), BD-II and UD subjects. Results showed that compare to HC, both BD-II and UD subjects had significantly decreased CNR and increased volume on the right and left sides. Moreover, the volume in BD-II group was significantly increased compared to UD group. The area under the receiver operating characteristic curve (AUC) for discriminating BD from HC was the largest for the Volume-L (AUC, 0.85; 95% confidence interval [CI]: 0.77, 0.93). The AUC for discriminating UD from HC was the largest for the Volume-L (AUC, 0.76; 95% CI: 0.65, 0.86). Furthermore, the AUC for discriminating BD from UD was the largest for the Volume-R (AUC, 0.73; 95% CI: 0.62, 0.84). Our findings suggest that neuromelanin-sensitive magnetic resonance imaging techniques can be used to differentiate BD-II from UD.

Funder

China Postdoctoral Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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