Journal of Shandong University (Health Sciences) ›› 2025, Vol. 63 ›› Issue (8): 111-126.doi: 10.6040/j.issn.1671-7554.0.2024.1456

• Research Progress • Previous Articles    

Application of functional brain network analysis in aphasia: insights into neuropathological mechanisms, clinical diagnosis, and assessment of therapeutic outcome

LUO Qi1,2, WANG Xia2,3,4, JIANG Meng2,3,4   

  1. 1. School of English Studies, Sichuan International Studies University, Chongqing 400031, China;
    2. Language &
    Brain Research Center, Sichuan International Studies University, Chongqing 400031, China;
    3. College of Language Intelligence(College of General Education), Sichuan International Studies University, 400031 Chongqing, China;
    4. Chongqing Shapingba District International Joint Institute of Brain Computer Language Interface, Chongqing 400030, China
  • Published:2025-08-25

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Abstract: Functional brain network analysis has emerged as a powerful approach to study aphasia by characterizing the synchronization patterns and connectivity profiles of neural activity across distributed brain regions. Utilizing advanced non-invasive neuroimaging(e.g. functional magnetic resonance imaging, fMRI)and electrophysiological(e.g. electroencephalography, EEG)techniques, functional networks are constructed to identify abnormal functional connectivity and dynamic network reorganization in aphasic patients. The present systematic review critically evaluates the application of functional brain network analysis in aphasia research, with particular emphasis on elucidation of neuropathological mechanisms, subtype classification, severity stratification, and assessment of therapeutic outcome. Through integrative analysis of both static and dynamic network properties across multiple neuroimaging modalities, we identify consistent patterns of network dysfunction in aphasia, including topological perturbations, functional connectivity reconfigurations, frequency-band-specific oscillations, and compensatory network reorganization. Specifically, this analytical framework demonstrates significant clinical utility by improving the sensitivity and specificity of conventional diagnostic protocols, providing quantitative biomarkers for grading disease severity, and enabling objective assessment of treatment-induced neuroplastic changes. By synthesizing current evidence, this review aims to advance the understanding for future investigations of the neural substrates of aphasia and to inform the development of personalized treatment interventions.

Key words: Functional brain network analysis, Aphasia, Neuropathological mechanisms, Clinical diagnosis, Therapeutic outcome assessment

CLC Number: 

  • H018.4-62
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