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Yi Jin

4 papers in the library · 248 citations · publishing 2006-2015

Papers

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How are different neural networks related to consciousness?

Annals of Neurology August 20, 2015 Pengmin Qin, Xuehai Wu, Zirui Huang et al. 144 citations

OBJECTIVE: We aimed to investigate the roles of different resting-state networks in predicting both the actual level of consciousness and its recovery in brain injury patients. METHODS: We investigated resting-state functional connectivity within different networks in patients with varying levels of consciousness: unresponsive wakefulness syndrome (UWS; n = 56), minimally conscious state (MCS;...

DOI: 10.1002/ana.24479 (opens in new tab) Default mode network Minimally conscious state Wakefulness Insula +12

The self and its resting state in consciousness: An investigation of the vegetative state

Human Brain Mapping July 1, 2013 Zirui Huang, Rui Dai, Xuehai Wu et al. 104 citations

Recent studies have demonstrated resting-state abnormalities in midline regions in vegetative state/unresponsive wakefulness syndrome and minimally conscious state patients. However, the functional implications of these resting-state abnormalities remain unclear. Recent findings in healthy subjects have revealed a close overlap between the neural substrate of self-referential processing and the...

DOI: 10.1002/hbm.22308 (opens in new tab) Resting State FMRI Minimally conscious state Wakefulness Anterior cingulate cortex +7

A forty-five year follow-up EEG study of Qigong practice.

International Journal of Neuroscience 2009 Zhen Qin, Yi Jin, Shin Lin et al.

A follow-up EEG study was conducted on a subject with 50 years of experiences in Qigong. Resting EEG at present showed frontally dominant alpha-1 as compared to occipitally dominant alpha-2 described in 1962. During the Qigong practice alph-1 enhanced quickly and became far more prominent than 50 years ago. Compared with baseline, these activities remained to be higher at rest after the Qigong...

ALPHA EEG PREDICTS VISUAL REACTION TIME

International Journal of Neuroscience 2006 Yi Jin, J. O'Halloran, L. Plon et al.

Studies have suggested that consciousness is encoded discretely in time and synchronously in space of the brain. The present study was to model the alpha EEG as a brain clock to carry out the functions and to test whether the quality and rate of the oscillation could predict behavioral timing. Results showed that the alpha peak frequency was correlated with the conflict reaction time, and the...