Abnormal Structural–Functional Coupling and MRI Alterations of Brain Network Topology in Progressive Supranuclear Palsy

• Published in: Journal of magnetic resonance imaging Vol. 61; no. 4; pp. 1770 - 1781
• Main Authors: Qu, Junyu, Zhu, Rui, Wu, Yongsheng, Xu, Guihua, Wang, Dawei
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.04.2025; Wiley Subscription Services, Inc
• Subjects: Aged; Attention; Brain; Brain - diagnostic imaging; Brain - physiopathology; Brain Mapping; brain network topology; Consistency; Correlation analysis; Coupling; Diffusion Tensor Imaging; Female; Females; Field strength; functional connectivity; Functional magnetic resonance imaging; Humans; Image Processing, Computer-Assisted; Image reconstruction; Information processing; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Middle Aged; Nerve Net - diagnostic imaging; Nerve Net - physiopathology; Network analysis; Network topologies; Neuroimaging; Progressive supranuclear palsy; Putamen; Retrospective Studies; Statistical analysis; Statistical tests; structural connectivity; structural–functional coupling; Structure-function relationships; Supranuclear Palsy, Progressive - diagnostic imaging; Supranuclear Palsy, Progressive - physiopathology; Tensors; Thalamus; Topology; Transmission efficiency; Visual perception; brain network topology; structural connectivity; structural–functional coupling; functional connectivity; progressive supranuclear palsy
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.29620

Background Progressive supranuclear palsy (PSP) can cause structural and functional brain reconstruction. There is a lack of knowledge about the consistency between structural–functional (S–F) connection networks in PSP, despite growing evidence of anomalies in various single brain network parameters. Purpose To study the changes in the structural and functional networks of PSP, network's topological properties including degree, and the consistency of S–F coupling. The relationship with clinical scales was examined including the assessment of PSP severity, and so on. Study Type Retrospective. Subjects A total of 51 PSP patients (70.04 ± 7.46, 25 females) and 101 healthy controls (64.58 ± 8.84, 58 females). Field Strength/Sequence 3‐T, resting‐state functional MRI, diffusion tensor imaging, and T1‐weighted images. Assessment A graph‐theoretic approach was used to evaluate structural and functional network topology metrics. We used the S–F coupling changes to explore the consistency of structural and functional networks. Statistical Tests Independent samples t tests were employed for continuous variables, χ2 tests were used for categorical variables. For network analysis, two‐sample t tests was used and implied an false discovery rate (FDR) correction. Pearson correlation analysis was used to explore the correlations. A P‐value <0.05 was considered statistically significant. Results PSP showed variations within and between modules. Specifically, PSP had decreased network properties changes (t = −2.0136; t = 2.5409; t = −2.5338; t = −2.4296; t = −2.5338; t = 2.8079). PSP showed a lower coupling in the thalamus and left putamen and a higher coupling in the visual, somatomotor, dorsal attention, and ventral attention network. S–F coupling was related to the number of network connections (r = 0.32, r = 0.22) and information transmission efficiency (r = 0.55, r = 0.28). S–F coupling was related to basic academic ability (r = 0.39) and disinhibition (r = 0.49). Data Conclusion PSP may show abnormal S–F coupling and intramodular and intermodular connectome in the structural and functional networks. Level of Evidence 3 Technical Efficacy Stage 3