Altered hemodynamics contribute to local but not remote functional connectivity disruption due to glioma growth. Issue 1 (January 2020)

• Record Type: Journal Article
• Authors: Orukari, Inema E; Siegel, Joshua S; Warrington, Nicole M; Baxter, Grant A; Bauer, Adam Q; Shimony, Joshua S; Rubin, Joshua B; Culver, Joseph P
• Is Part Of: Journal of cerebral blood flow & metabolism. Volume 40:Issue 1(2020)
• Page Start: 100
• Page End: 115
• Publication Date: 2020-01
• Subjects: Functional connectivity -- glioma -- hemodynamic lags -- mouse model -- neurovascular uncoupling; Cerebral circulation -- Periodicals; Brain -- Metabolism -- Periodicals; Brain -- Blood-vessels -- Periodicals; Cerebrovascular disease -- Periodicals; 612.824
• DOI: 10.1177/0271678X18803948
• Languages: English
• ISSNs: 0271-678X

Abstract

Glioma growth can cause pervasive changes in the functional connectivity (FC) of brain networks, which has been associated with re-organization of brain functions and development of functional deficits in patients. Mechanisms underlying functional re-organization in brain networks are not understood and efforts to utilize functional imaging for surgical planning, or as a biomarker of functional outcomes are confounded by the heterogeneity in available human data. Here we apply multiple imaging modalities in a well-controlled murine model of glioma with extensive validation using human data to explore mechanisms of FC disruption due to glioma growth. We find gliomas cause both local and distal changes in FC. FC changes in networks proximal to the tumor occur secondary to hemodynamic alterations but surprisingly, remote FC changes are independent of hemodynamic mechanisms. Our data strongly implicate hemodynamic alterations as the main driver of local changes in measurements of FC in patients with glioma.