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Disrupted Topological Organization of Resting-State Functional Brain Networks in Age-Related Hearing Loss.
Yong, Wei; Song, Jiajie; Xing, Chunhua; Xu, Jin-Jing; Xue, Yuan; Yin, Xindao; Wu, Yuanqing; Chen, Yu-Chen.
Afiliação
  • Yong W; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Song J; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Xing C; Department of Radiology, Nanjing Pukou Central Hospital, Pukou Branch Hospital of Jiangsu Province Hospital, Nanjing, China.
  • Xu JJ; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Xue Y; Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Yin X; Department of Otolaryngology, Nanjing Pukou Central Hospital, Pukou Branch Hospital of Jiangsu Province Hospital, Nanjing, China.
  • Wu Y; Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Chen YC; Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Front Aging Neurosci ; 14: 907070, 2022.
Article em En | MEDLINE | ID: mdl-35669463
ABSTRACT

Purpose:

Age-related hearing loss (ARHL), associated with the function of speech perception decreases characterized by bilateral sensorineural hearing loss at high frequencies, has become an increasingly critical public health problem. This study aimed to investigate the topological features of the brain functional network and structural dysfunction of the central nervous system in ARHL using graph theory.

Methods:

Forty-six patients with ARHL and forty-five age, sex, and education-matched healthy controls were recruited to undergo a resting-state functional magnetic resonance imaging (fMRI) scan in this study. Graph theory was applied to analyze the topological properties of the functional connectomes by studying the local and global organization of neural networks.

Results:

Compared with healthy controls, the patient group showed increased local efficiency (Eloc) and clustering coefficient (Cp) of the small-world network. Besides, the degree centrality (Dc) and nodal efficiency (Ne) values of the left inferior occipital gyrus (IOG) in the patient group showed a decrease in contrast with the healthy control group. In addition, the intra-modular interaction of the occipital lobe module and the inter-modular interaction of the parietal occipital module decreased in the patient group, which was positively correlated with Dc and Ne. The intra-modular interaction of the occipital lobe module decreased in the patient group, which was negatively correlated with the Eloc.

Conclusion:

Based on fMRI and graph theory, we indicate the aberrant small-world network topology in ARHL and dysfunctional interaction of the occipital lobe and parietal lobe, emphasizing the importance of dysfunctional left IOG. These results suggest that early diagnosis and treatment of patients with ARHL is necessary, which can avoid the transformation of brain topology and decreased brain function.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article