Involvement of the default mode network in patients with transient global amnesia: multilayer network.

Introduction: We aimed to investigate the alterations in the multilayer network in patients with transient global amnesia (TGA). Methods: We enrolled 124 patients with TGA and 80 healthy controls. Both patients with TGA and healthy controls underwent a three-teslar brain magnetic resonance imaging (...

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Publicado en:Neuroradiology Vol. 65; no. 12; pp. 1729 - 1737
Autores principales: Lee, Dong Ah, Lee, Ho-Joon, Park, Kang Min
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Dec2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2023
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      pub: Springer Nature
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        10.1007/s00234-023-03241-7
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        atl: Involvement of the default mode network in patients with transient global amnesia: multilayer network.
      aug:
        au:
          Lee, Dong Ah
          Lee, Ho-Joon
          Park, Kang Min
        affil: https://ror.org/04xqwq985 Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-Ro 875, Haeundae-Gu, 48108, Busan, Republic of Korea
      sug:
        subj:
          Amnesia
          Default Mode Network
          Human
          Funding Source
          Magnetic Resonance Imaging
          Gray Matter
          Neural Networks (Computer)
          Male
          Female
          Middle Age
          Aged
          Comparative Studies
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: Introduction: We aimed to investigate the alterations in the multilayer network in patients with transient global amnesia (TGA). Methods: We enrolled 124 patients with TGA and 80 healthy controls. Both patients with TGA and healthy controls underwent a three-teslar brain magnetic resonance imaging (MRI). A gray matter layer matrix was created using a morphometric similarity network derived from the T1-weighted imaging, and a white matter layer matrix was constructed using structural connectivity based on the diffusion tensor imaging. A multilayer network analysis was performed by applying graph theoretical analysis. Results: There were no significant differences in global network measures between the groups. However, several regions, related to the default mode network, showed significant differences in nodal network measures between the groups. Multi-richness in the left pars opercularis, multi-rich-club degree in the right posterior cingulate gyrus, and weighted multiplex participation in the right posterior cingulate gyrus were higher in patients with TGA compared with healthy controls (15.47 vs. 12.26, p = 0.0005; 41.68 vs. 37.16, p = 0.0005; 0.90 vs. 0.80, p = 0.0005; respectively). The multiplex core–periphery in the left precuneus was higher (0.96 vs. 0.84, p = 0.0005), whereas that in the transverse temporal gyrus was lower in patients with TGA compared with healthy controls (0.00 vs. 0.02, p = 0.0005). Conclusion: We newly find the alterations in the multilayer network in patients with TGA compared with healthy controls, which shows the involvement of the default mode network. These changes may be related to the pathophysiology of TGA.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
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      ougenre: Article
    language: English
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