OBJECTIVE: We aimed to investigate the roles of different resting-state networks in predicting both the actual level of @entity1662 and its recovery in @entity1545 @entity1 . METHODS: We investigated resting-state functional connectivity within different networks in @entity1 with varying levels of @entity1662 : unresponsive @entity1442 ( @entity6013 ; n   =   56), @entity47 ( @entity47 ; n   =   29), and @entity1 with @entity75 @entity1662 ( @entity2109 ; n   =   48). Considering the actual level of @entity1662 , we compared the strength of network connectivity among the @entity1 groups. We then checked the presence of connections between specific regions in individual @entity1 and calculated the frequency of this in the different @entity1 groups. Considering the recovery of @entity1662 , we split the @entity6013 group into 2 subgroups according to recovery: those who emerged from @entity6013 ( @entity6013 -E) and those who remained in @entity6013 ( @entity6013 ). The above analyses were repeated on these 2 subgroups. RESULTS: Functional connectivity strength in salience network (SN), especially connectivity between the supragenual anterior cingulate cortex (SACC) and @entity1347 ( @entity1347 ), was reduced in the unconscious state ( @entity6013 ) compared to the conscious state ( @entity47 and @entity2109 ). Moreover, at the individual level, SACC- @entity1347 connectivity was more present in @entity47 than in @entity6013 . @entity15131 ( @entity15131 ) connectivity strength, especially between the posterior cingulate cortex (PCC) and left lateral parietal cortex (LLPC), was reduced in @entity6013 compared with @entity6013 -E. Furthermore, PCC-LLPC connectivity was more present in @entity6013 -E than in @entity6013 . INTERPRETATION: Our findings show that SN (SACC- @entity1347 ) connectivity correlates with @entity146 , whereas @entity15131 (PCC-LLPC) connectivity instead predicts recovery of @entity1662 .

How are different neural networks related to XXXX ?

@entity1545 :: ('MESH:D020214', 'Disease') :: ['brain injury'] @entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity6013 :: ('MESH:C580424', 'Disease') :: ['UWS-R', 'UWS'] @entity75 :: ('MESH:D001927', 'Disease') :: ['brain lesions'] @entity1347 :: ('MESH:C537775', 'Disease') :: ['left anterior insula', 'LAI'] @entity146 :: ('MESH:D001523', 'Disease') :: ['behavioral signs of consciousness'] @entity2109 :: ('MESH:D002051', 'Disease') :: ['BL'] @entity1442 :: ('MESH:D020178', 'Disease') :: ['wakefulness syndrome'] @entity47 :: ('MESH:D018458', 'Disease') :: ['MCS', 'minimally conscious state'] @entity1662 :: ('MESH:D003244', 'Disease') :: ['but full consciousness', 'consciousness'] @entity15131 :: ('MESH:C537734', 'Disease') :: ['Default-mode network', 'DMN']
@entity1662 :: (MESH:D003244,Disease) :: ['consciousness']
