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Acupuncture Modulates Disrupted Whole-Brain Network after Ischemic Stroke: Evidence Based on Graph Theory Analysis.
Neural Plasticity 2020
Background: Stroke can lead to disruption of the whole-brain network in patients. Acupuncture can modulate the functional network on a large-scale level in healthy individuals. However, whether and how acupuncture can make a potential impact on the disrupted whole-brain network after ischemic stroke remains elusive.
Methods: 26 stroke patients with a right hemispheric subcortical infarct were recruited. We gathered the functional magnetic resonance imaging (fMRI) from patients with stroke and healthy controls in the resting state and after acupuncture intervention, to investigate the instant alterations of the large-scale functional networks. The graph theory analysis was applied using the GRETNA and SPM12 software to construct the whole-brain network and yield the small-world parameters and network efficiency.
Results: Compared with the healthy subjects, the stroke patients had a decreased normalized small-worldness ( σ ), global efficiency ( E g ), and the mean local efficiency ( E loc ) of the whole-brain network in the resting state. There was a correlation between the duration after stroke onset and E loc . Acupuncture improved the patients' clustering coefficient ( C p ) and E loc but did not make a significant impact on the σ and E g . The postacupuncture variables of the whole-brain network had no association with the time of onset.
Conclusion: The poststroke whole-brain network tended to a random network with reduced network efficiency. Acupuncture was able to modulate the disrupted patterns of the whole-brain network following the subcortical ischemic stroke. Our findings shed light on the potential mechanisms of the functional reorganization on poststroke brain networks involving acupuncture intervention from a large-scale perspective.
Methods: 26 stroke patients with a right hemispheric subcortical infarct were recruited. We gathered the functional magnetic resonance imaging (fMRI) from patients with stroke and healthy controls in the resting state and after acupuncture intervention, to investigate the instant alterations of the large-scale functional networks. The graph theory analysis was applied using the GRETNA and SPM12 software to construct the whole-brain network and yield the small-world parameters and network efficiency.
Results: Compared with the healthy subjects, the stroke patients had a decreased normalized small-worldness ( σ ), global efficiency ( E g ), and the mean local efficiency ( E loc ) of the whole-brain network in the resting state. There was a correlation between the duration after stroke onset and E loc . Acupuncture improved the patients' clustering coefficient ( C p ) and E loc but did not make a significant impact on the σ and E g . The postacupuncture variables of the whole-brain network had no association with the time of onset.
Conclusion: The poststroke whole-brain network tended to a random network with reduced network efficiency. Acupuncture was able to modulate the disrupted patterns of the whole-brain network following the subcortical ischemic stroke. Our findings shed light on the potential mechanisms of the functional reorganization on poststroke brain networks involving acupuncture intervention from a large-scale perspective.
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