Intrinsic functional connectivity patterns predict consciousness level and recovery outcome in acquired brain injury

Xuehai Wu, Qihong Zou, Jin Hu, Weijun Tang, Ying Mao, Liang Gao, Jianhong Zhu, Yi Jin, Lu Lu, Yaojun Zhang, Zhengjia Dai, Jia-hong Gao, Xuchu Weng, Liang-Fu Zhou, G. Northoff, Joseph T. Giacino, Yong He, Yihong Yang

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

For accurate diagnosis and prognostic prediction of acquired brain injury (ABI), it is crucial to understand the neurobiological mechanisms underlying loss of consciousness. However, there is no consensus on which regions and networks act as biomarkers for consciousness level and recovery outcome in ABI. Using resting-state fMRI, we assessed intrinsic functional connectivity strength (FCS) of whole-brain networks in a large sample of 99 ABI patients with varying degrees of consciousness loss (including fully preserved consciousness state, minimally conscious state, unresponsive wakefulness syndrome/vegetative state, and coma) and 34 healthy control subjects. Consciousness level was evaluated using the Glasgow Coma Scale and Coma Recovery Scale-Revised on the day of fMRI scanning; recovery outcome was assessed using the Glasgow Outcome Scale 3 months after the fMRI scanning. One-way ANOVA of FCS, Spearman correlation analyses between FCS and the consciousness level and recovery outcome, and FCS-based multivariate pattern analysis were performed. We found decreased FCS with loss of consciousness primarily distributed in the posterior cingulate cortex/precuneus (PCC/PCU), medial prefrontal cortex, and lateral parietal cortex. The FCS values of these regions were significantly correlated with consciousness level and recovery outcome. Multivariate support vector machine discrimination analysis revealed that the FCS patterns predicted whether patients with unresponsive wakefulness syndrome/vegetative state and coma would regain consciousness with an accuracy of 81.25%, and the most discriminative region was the PCC/PCU. These findings suggest that intrinsic functional connectivity patterns of the human posteromedial cortex could serve as a potential indicator for consciousness level and recovery outcome in individuals with ABI.
Original languageEnglish
Pages (from-to)12932-12946
Number of pages15
JournalJournal of Neuroscience
Volume35
Issue number37
DOIs
Publication statusPublished - 2015
Externally publishedYes

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Consciousness
Brain Injuries
Persistent Vegetative State
Parietal Lobe
Unconsciousness
Coma
Wakefulness
Gyrus Cinguli
Magnetic Resonance Imaging
Glasgow Outcome Scale
Glasgow Coma Scale
Prefrontal Cortex
Consensus
Analysis of Variance
Healthy Volunteers
Multivariate Analysis
Biomarkers
Brain

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Intrinsic functional connectivity patterns predict consciousness level and recovery outcome in acquired brain injury. / Wu, Xuehai; Zou, Qihong; Hu, Jin; Tang, Weijun; Mao, Ying; Gao, Liang; Zhu, Jianhong; Jin, Yi; Lu, Lu; Zhang, Yaojun; Dai, Zhengjia; Gao, Jia-hong; Weng, Xuchu; Zhou, Liang-Fu; Northoff, G.; Giacino, Joseph T.; He, Yong; Yang, Yihong.

In: Journal of Neuroscience, Vol. 35, No. 37, 2015, p. 12932-12946.

Research output: Contribution to journalArticle

Wu, X, Zou, Q, Hu, J, Tang, W, Mao, Y, Gao, L, Zhu, J, Jin, Y, Lu, L, Zhang, Y, Dai, Z, Gao, J, Weng, X, Zhou, L-F, Northoff, G, Giacino, JT, He, Y & Yang, Y 2015, 'Intrinsic functional connectivity patterns predict consciousness level and recovery outcome in acquired brain injury', Journal of Neuroscience, vol. 35, no. 37, pp. 12932-12946. https://doi.org/10.1523/JNEUROSCI.0415-15.2015
Wu, Xuehai ; Zou, Qihong ; Hu, Jin ; Tang, Weijun ; Mao, Ying ; Gao, Liang ; Zhu, Jianhong ; Jin, Yi ; Lu, Lu ; Zhang, Yaojun ; Dai, Zhengjia ; Gao, Jia-hong ; Weng, Xuchu ; Zhou, Liang-Fu ; Northoff, G. ; Giacino, Joseph T. ; He, Yong ; Yang, Yihong. / Intrinsic functional connectivity patterns predict consciousness level and recovery outcome in acquired brain injury. In: Journal of Neuroscience. 2015 ; Vol. 35, No. 37. pp. 12932-12946.
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AU - Dai, Zhengjia

AU - Gao, Jia-hong

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