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Changes in Intranetwork Functional Connectivity of Resting State Networks Between Sessions Under Anesthesia in Neurosurgical Patients.

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BACKGROUND In this study, we evaluated the changes in resting-state networks (RSNs) under anesthesia in neurosurgical patients. METHODS RSNs were analyzed in 12 patients with pituitary adenoma presented by chiasma… Click to show full abstract

BACKGROUND In this study, we evaluated the changes in resting-state networks (RSNs) under anesthesia in neurosurgical patients. METHODS RSNs were analyzed in 12 patients with pituitary adenoma presented by chiasma compression operated via standard transsphenoidal approach under propofol anesthesia before and after tumor resection. All the patients had suprasellar tumor extension with compression of the optic chiasma. We investigated second-level effects by contrasting dummy-encoded covariates representing the effects of the sessions (first vs. second) on RSNs. We corrected for multiple comparisons using a false discovery rate of 0.05 (2-sided). RESULTS Connectivity between the right and left precentral gyri (motor network) decreased significantly from the first to the second session (P = 0.0002), as did the connectivity between the postcentral gyri (P = 0.009). The same was valid for connectivity between the visual cortices (P = 0.0002). The salience network showed a significant decrease in the connectivity of the anterior part of the cingulate gyrus and insular cortex (P = 0.0001). The default mode network showed a decrease in the connectivity between the posterior part of the cingulate gyrus, parietal, and frontal cortices (P = 0.0002). There was no significant correlation between the reduction in connectivity and dose or duration of anesthesia. CONCLUSIONS Different RSNs could be identified under anesthesia and used for intraoperative brain mapping and remapping during tumor resection. However, RSNs showed a significant decrease in connectivity with the continuation of anesthesia.

Keywords: neurosurgical patients; anesthesia neurosurgical; connectivity; state networks; resting state

Journal Title: World neurosurgery
Year Published: 2020

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