Guangzhan Fang

Prof. Guangzhan Fang

Chengdu Institute of Biology, Chinese Academy of Scienses
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 August 2016 in Frontiers in Computational Neuroscience
Verified
Journal Article
Open access
WJWei Jing
Wei Jing
YWYanran Wang
Yanran Wang
Guangzhan FangGuangzhan Fang
Guangzhan Fang
MCMingming Chen
Mingming Chen
MXMiaomiao Xue
Miaomiao Xue
YXYang Xia
Yang Xia
Accumulating evidences have revealed that neuronal oscillations with various frequency bands in the brain have different physiological functions. However, the frequency band divisions in rats were typically based on empirical spectral distribution from limited channels information. In the present study, functionally relevant frequency bands across vigilance states and brain regions were identified using factor analysis based on 9 channels EEG signals recorded from multiple brain areas in rats. We found that frequency band divisions varied both across vigilance states and brain regions. In particular, theta oscillations during REM sleep were subdivided into two bands, 5-7 and 8-11 Hz corresponding to the tonic and phasic stages, respectively. The spindle activities of SWS are different along the anterior-posterior axis, lower oscillations (~16 Hz) in frontal regions and higher in parietal (~21 Hz). The delta and theta activities were co-varied in the visual and auditory cortex during wakeful rest. In addition, power spectra of beta oscillations were significantly decreased in association cortex. These results provide us some new insights into understand the brain oscillations across vigilance states, and also indicate that the spatial factor should not be ignored when considering the frequency band divisions in rats.

25 September 2011 in Asian Herpetological Research
Verified
Journal Article
Closed access
JCJianguo Cui
Jianguo Cui
SXSong Xiaoyan
Song Xiaoyan
Guangzhan FangGuangzhan Fang
Guangzhan Fang
XFXu Fei
Xu Fei
BEBrauth Steven E.
Brauth Steven E.
YTYezhong Tang
Yezhong Tang

13 September 2013 in Animal Cognition
Verified
Journal Article
Closed access
PDF file
Guangzhan FangGuangzhan Fang
Guangzhan Fang
FJFan Jiang
Fan Jiang
PYPing Yang
Ping Yang
JCJianguo Cui
Jianguo Cui
SBSteven E. Brauth
Steven E. Brauth
YTYezhong Tang
Yezhong Tang

2 November 2011 in Journal of Comparative Physiology A
Verified
Journal Article
Closed access
PDF file
Guangzhan FangGuangzhan Fang
Guangzhan Fang
QCQin Chen
Qin Chen
JCJianguo Cui
Jianguo Cui
YTYezhong Tang
Yezhong Tang

31 August 2017 in Scientific Reports
Verified
Journal Article
Open access
PDF file
XYXizi Yue
Xizi Yue
YFYanzhu Fan
Yanzhu Fan
FXFei Xue
Fei Xue
SBSteven E. Brauth
Steven E. Brauth
YTYezhong Tang
Yezhong Tang
Guangzhan FangGuangzhan Fang
Guangzhan Fang
Vocal Communication plays a crucial role in survival and reproductive success in most amphibian species. Although amphibian communication sounds are often complex consisting of many temporal features, we know little about the biological significance of each temporal component. The present study examined the biological significance of notes of the male advertisement calls of the Emei music frog (Babina daunchina) using the optimized electroencephalogram (EEG) paradigm of mismatch negativity (MMN). Music frog calls generally contain four to six notes separated approximately by 150 millisecond intervals. A standard stimulus (white noise) and five deviant stimuli (five notes from one advertisement call) were played back to each subject while simultaneously recording multi-channel EEG signals. The results showed that the MMN amplitude for the first call note was significantly larger than for that of the others. Moreover, the MMN amplitudes evoked from the left forebrain and midbrain were typically larger than those from the right counterpart. These results are consistent with the ideas that the first call note conveys more information than the others for auditory recognition and that there is left-hemisphere dominance for processing information derived from conspecific calls in frogs.

1 December 2011 in Journal of Herpetology
Verified
Journal Article
Closed access
QCQin Chen
Qin Chen
JCJianguo Cui
Jianguo Cui
Guangzhan FangGuangzhan Fang
Guangzhan Fang
SBSteven E. Brauth
Steven E. Brauth
YTYezhong Tang
Yezhong Tang