|Title:||Impaired brain network architecture as neuroimaging evidence of pain in diabetic neuropathy||Authors:||CHI-CHAO CHAO
Janice Lin, Chien-Ho
|Keywords:||Diabetic neuropathic pain;Diffusion tractography;Graph theory;Network-based statistic;Small-world organization||Issue Date:||Apr-2022||Publisher:||Elsevier Ireland Ltd||Journal Volume:||186||Start page/Pages:||109833||Source:||Diabetes Research and Clinical Practice||Abstract:||
Aims: To investigate alterations in structural brain networks due to chronic diabetic neuropathic pain. Methods: The current study recruited 24 patients with painful diabetic neuropathy (PDN) to investigate the influences of chronic pain on the brain. Thirteen patients with painless diabetic neuropathy (PLDN) and 24 healthy adults were recruited as disease and healthy controls. White matter connectivity of the brain networks constructed by diffusion tractography was compared across groups using the Network-based statistic (NBS) method. Graph theoretical analysis was further applied to assess topological changes of the brain networks. Results: The PDN patients had a significant reduction in white matter connectivity compared with PLDN and controls in the limbic and temporal regions, particularly the insula, hippocampus and parahippocampus, the amygdala, and the middle temporal gyrus. The PDN patients also exhibited an altered topology of the brain networks with reduced global efficiency and betweenness centrality. Conclusion: The current findings indicate that topological alterations of brain networks may serve as a biomarker for pain-induced maladaptive reorganization of the brain in PDN. Given the high prevalence of diabetes worldwide, novel insights from network sciences to investigate the central mechanisms of diabetic neuropathic pain are warranted. © 2022 Elsevier B.V.
|Appears in Collections:||解剖學暨細胞生物學科所|
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