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Unilateral thalamic glioma disrupts large-scale functional architecture of human brain during resting state

Authors Li S, Gao L, Liu Y, Ao Y, Xu H

Received 2 September 2018

Accepted for publication 19 February 2019

Published 15 April 2019 Volume 2019:15 Pages 947—956


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Jun Chen

Sirui Li, Lei Gao, Ying Liu, Yawen Ao, Haibo Xu

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, People’s Republic of China

Background: The thalamus is an important deep brain structure for the synchronization of brain rhythm and the integration of cortical activity. Human brain imaging and computational modeling have non-invasively revealed its role in maintaining the cortical network architecture and functional hierarchy.
Purpose: The objective of this study was to identify the effect of unilateral thalamic damage on the human brain intrinsic functional architecture.
Patients and methods: We collected an 8-minute resting-state functional magnetic resonance imaging (R-fMRI) data on a 3.0 T magnetic resonance scanner for all the participants: a preoperative patient with left thalamus destroyed by anaplastic astrocytoma (WHO grade III type of astrocytoma) and 20 matched healthy controls. The R-fMRI data was analyzed for functional connectivity and amplitude of spontaneous fluctuations.
Results: The patient showed prominent decrease in functional connectivity within primary sensory networks and advanced cognitive networks, and extensive alterations in between-network coupling. Further analysis of the amplitude of spontaneous activity suggested significant decrease especially in the topographies of default mode network and the Papez circuit.
Conclusion: This result provided evidence about the consequences of thalamic destruction on the correlation and landscape of spontaneous brain activity, promoting our understanding of the effects of thalamic damage on large-scale brain networks.

Keywords: brain networks, functional connectivity, default mode network, Papez circuit

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