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DOI 10.21037/qims-23-1603

Медицинская библиотека · Quantitative imaging in medicine and surgery · 2024

Evaluation of neostriatum changes in Crohn's disease: a multimodal brain magnetic resonance imaging study.

Li Pengyu, Chen Fenrong, Chen Duoli, Wei Zi, Nie Dingxin, Liu Chengxiang, Liu Peng

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Аннотация

BACKGROUND

Abnormalities of neostriatum have been reported to be implicated in Crohn's disease (CD). However, there are few systematic explorations. We aim to explore the changes that occur in the structure and function of the neostriatum and whether these changes are related to the clinical characteristics of CD.

METHODS

In this cross-sectional and prospective study, we enrolled 34 CD patients and 31 healthy controls (HCs) for analysis. We performed voxel-based morphometry (VBM) and seed-based functional connectivity (FC) to evaluate the structural and functional changes in the neostriatum. Correlation analysis was used to evaluate the possible relationships between clinical characteristics and neuroimaging findings.

RESULTS

CD patients had significantly increased gray matter volume (GMV) in the bilateral putamen compared with HCs. The results showed that CD patients had significantly decreased FC related to the putamen-calcarine cortex, putamen-fusiform gyrus, putamen-inferior temporal cortex (ITC), putamen-parahippocampus, and increased FC associated with the putamen-cuneus/precuneus. Moreover, CD patients showed a positive correlation between the GMV in the left putamen and illness duration (r=0.42, P=0.013).

CONCLUSIONS

Our study indicated that CD patients had increased GMV and abnormal FC related to the putamen. The structural and functional differences could reflect that neostriatum may be linked with alterations of aberrant patterns of the default mode network (DMN) and visual processing area.

Для цитирования: Li Pengyu, Chen Fenrong, Chen Duoli, Wei Zi, Nie Dingxin, Liu Chengxiang, Liu Peng. Evaluation of neostriatum changes in Crohn's disease: a multimodal brain magnetic resonance imaging study.. Quantitative imaging in medicine and surgery. 2024. DOI: 10.21037/qims-23-1603.
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