Objective To investigate the changes in functional connectivity of EEG signals in patients with cerebellar infarction and their relationship with cognitive function. Methods EEG data from 37 cerebellar infarction patients (cerebellar infarction group) and 40 healthy controls (control group) were preprocessed and decomposed into five frequency bands: delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (13-30 Hz), and gamma (30-45 Hz). Through phase synchronization analysis, the phase locking value was calculated to construct the electrode lead connectivity matrices and compute network attribute parameters, including small-world index, clustering coefficient, local efficiency, global efficiency, shortest path length, and to evaluate the relationships between these network attribute parameters and cognitive function scores. Results The cerebellar infarction group showed significantly increased functional connectivity in the delta and gamma bands (P<0.05) and significantly decreased connectivity in the alpha and beta bands (P<0.05). In the delta band, cerebellar infarction group exhibited significantly increased global efficiency, local efficiency, and clustering coefficient (P<0.05), with considerably decreased small-world index and shortest path length (P<0.05). In the alpha and beta bands, cerebellar infarction group showed significantly reduced global efficiency, local efficiency, and clustering coefficient (P<0.05), with a significantly increased shortest path length (P<0.05) .In the gamma band, the local efficiency and clustering coefficient in cerebellar infarction group were significantly higher than those in the control group (P<0.05). Global efficiency, local efficiency, and clustering coefficient were positively correlated with cognitive function scores (P<0.01), while the shortest path length was negatively correlated with cognitive function scores in the cerebellar infarction group (P<0.01). Conclusion Abnormal resting-state brain network connectivity and network attributes in patients with cerebellar infarction are closely related to cognitive dysfunction, providing a basis for exploring more effective diagnostic and therapeutic strategies.
Key words
cerebellar infarction; resting-state brain network; electroencephalogram; phase-locked values; cognitive scale score
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