The shape of the corpus callosum is different in bipolar disorder

被引:0
|
作者
Namli, Mustafa Nuray [1 ]
Baykara, Sema [2 ]
Gul, Ozlem [3 ]
Baykara, Murat [4 ]
机构
[1] Bakirkoy Res & Training Hosp Psychiat & Neurol Dis, Dept Psychiat, Istanbul, Turkiye
[2] Erenkoy Psychiat & Neurol Training & Res Hosp, Dept Psychiat, Istanbul, Turkiye
[3] Istinye Univ, Dept Psychiat, Istanbul, Turkiye
[4] Haydarpasa Numune Training & Res Hosp, Dept Radiol, Istanbul, Turkiye
关键词
Corpus callosum; bipolar disorder; magnetic resonance imaging; neuroimaging; computer-assisted image processing; TOPOGRAPHY;
D O I
10.1017/neu.2024.51
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Objective: Bipolar disorder (BD) is a recurrent chronic disorder characterised by fluctuations in mood and energy disposition. Diseases could lead to degenerative alterations in brain structures such as corpus callosum (CC). Studies demonstrated that abnormalities in CC are associated with BD symptoms. The present study aims to analyse the CC of the patients with statistical shape analysis (SSA) and compare the findings with healthy controls. Methods: Forty-one BD patients and 41 healthy individuals in similar age groups, which included 23 female and 18 male subjects, participated in the study. CC was marked with landmarks on the mid-sagittal images of each individual. The mean ' Procrustes ' point was calculated, and shape deformations were analysed with thin-plate spline analysis. Results: Significant differences were observed in the shape of CC between the two groups, where maximum CC deformation was observed in posterior region marks in BD patients. There was no significant difference between the CC area of the BD patients and controls. Conclusions: CC analysis conducted with SSA revealed significant differences between patients and healthy controls. The study findings emphasised the abnormal distribution of white matter in CC and the variable subregional nature of CC in BD patients. This study may enable the development of more targeted and effective treatment strategies by taking into account biological factors and understanding the differences in the brain regions of individuals with BD.
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