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DOI 10.1093/pm/pnac101

Медицинская библиотека · Pain medicine (Malden, Mass.) · 2022

Cortical Abnormalities in Patients with Fibromyalgia: A Pilot Study of Surface-Based Morphometry Analysis.

Tu Ye, Wang Jihong, Xiong Fei, Gao Feng

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Although neuroanatomical studies correlated to fibromyalgia (FM) are gaining increasing interest, the cortical morphology of patients are largely unknown, and data on cortical gyrification are scarce. The objective of the present study is to assess the cortical morphology in female patients with FM compared with healthy controls (HC) using surface-based morphometry (SBM) analysis of magnetic resonance imaging (MRI).

METHODS

T1-MRIs and clinical data of 20 FM patients and 20 HC subjects were obtained from a public data set via OpenNeuro. For each subject, surface parameters including cortical thickness, local gyrification index (LGI), sulcal depth, and fractal dimensionality were estimated using SBM analysis. These data were compared between two groups controlled by age. The correlations between regional SBM parameters showing group differences and clinical profiles were analyzed.

RESULTS

Compared with HC subjects, FM patients showed reduced cortical thickness in right primary motor cortex, lower LGI in right rostral anterior cingulate and higher sulcal depth in right precuneus (P < 0.05 cluster level family- wise error corrected). In FM patients, correlation analysis showed that the cortical thickness in right primary motor cortex were inversely correlated with scores of pain catastrophizing scale (r = -0.498, P = 0.030) and pain self-perception scale (r = -0.527, P = 0.020), and disease duration (r = -0.488, P = 0.034), respectively.

CONCLUSIONS

Our findings provide evidence of neuroanatomical aberrations in FM patients, which may provide insight into the neuropathology of FM.

Для цитирования: Tu Ye, Wang Jihong, Xiong Fei, Gao Feng. Cortical Abnormalities in Patients with Fibromyalgia: A Pilot Study of Surface-Based Morphometry Analysis.. Pain medicine (Malden, Mass.). 2022. DOI: 10.1093/pm/pnac101.

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