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. 2019 Nov 26;10(1):e1476. doi: 10.1002/brb3.1476

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© 2019 The Authors. Brain and Behavior published by Wiley Periodicals, Inc.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Segregation measurement between resting state networks by clustering coefficient. (a) fingerprint (b) violin plot. Higher clustering coefficient values were observed for healthy controls (HC) than for subjects with disorders of consciousness (DOC) except by sensorimotor network. ✶ aims for a significant difference between HC and patients with minimally conscious state (MCS). ★ aims for a significant difference between HC and unresponsive wakefulness syndrome (UWS). ✠ aims for a significant difference between HC and patients with DOC