Differences in network centrality between high and low myopia: a voxel-level degree centrality study.
Acta Radiol
; 61(10): 1388-1397, 2020 Oct.
Article
en En
| MEDLINE
| ID: mdl-32098475
BACKGROUND: Previous studies have linked high myopia (HM) to brain activity, and the difference between HM and low myopia (LM) can be assessed. PURPOSE: To study the differences in functional networks of brain activity between HM and LM by the voxel-level degree centrality (DC) method. MATERIAL AND METHODS: Twenty-eight patients with HM (10 men, 18 women), 18 patients with LM (4 men, 14 women), and 59 healthy controls (27 men, 32 women) were enrolled in this study. The voxel-level DC method was used to assess spontaneous brain activity. Correlation analysis was used to explore the change of average DC value in different brain regions, in order to analyze differences in brain activity between HM and LM. RESULTS: DC values of the right cerebellum anterior lobe/brainstem, right parahippocampal gyrus, and left caudate in HM patients were significantly higher than those in LM patients (P < 0.05). In contrast, DC values of the left medial frontal gyrus, right inferior frontal gyrus, left middle frontal gyrus, and left inferior parietal lobule were significantly lower in patients with HM (P < 0.05). However, there was no correlation between behavior and average DC values in different brain regions (P < 0.05). CONCLUSION: Different changes in brain regions between HM and LM may indicate differences in neural mechanisms between HM and LM. DC values could be useful as biomarkers for differences in brain activity between patients with HM and LM. This study provides a new method to assess differences in functional networks of brain activity between patients with HM and LM.
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Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Encéfalo
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Mapeo Encefálico
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Imagen por Resonancia Magnética
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Miopía
Tipo de estudio:
Observational_studies
Límite:
Adolescent
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Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Acta Radiol
Año:
2020
Tipo del documento:
Article