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Cortical network properties revealed by SSVEP in anesthetized rats.

Xu P, Tian C, Zhang Y, Jing W, Wang Z, Liu T, Hu J, Tian Y, Xia Y, Yao D - Sci Rep (2013)

Bottom Line: Steady state visual evoked potentials (SSVEP) are assumed to be regulated by multiple brain areas, yet the underlying mechanisms are not well understood.In this study, we utilized multi-channel intracranial recordings together with network analysis to investigate the underlying relationships between SSVEP and brain networks in anesthetized rat.All these aspects consistently indicate that SSVEP response is closely correlated with network properties, the reorganization of the background network plays a crucial role in SSVEP production, and the background network may provide a physiological marker for evaluating the potential of SSVEP generation.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.

ABSTRACT
Steady state visual evoked potentials (SSVEP) are assumed to be regulated by multiple brain areas, yet the underlying mechanisms are not well understood. In this study, we utilized multi-channel intracranial recordings together with network analysis to investigate the underlying relationships between SSVEP and brain networks in anesthetized rat. We examined the relationship between SSVEP amplitude and the network topological properties for different stimulation frequencies, the synergetic dynamic changes of the amplitude and topological properties in each rat, the network properties of the control state, and the individual difference of SSVEP network attributes existing among rats. All these aspects consistently indicate that SSVEP response is closely correlated with network properties, the reorganization of the background network plays a crucial role in SSVEP production, and the background network may provide a physiological marker for evaluating the potential of SSVEP generation.

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The SSVEP responses for the three frequency stimuli on 12 electrodes averaged over 10 rats.(a) The original intracranial EEG waveforms of one rat at electrode V1_L for the three stimuli; (b) 8 Hz spectrum in range 7.5 Hz ~ 8.5 Hz; (c) 44 Hz spectrum in range 43.5 Hz ~ 44.5 Hz; (d) 84 Hz spectrum in range 83.5 Hz ~ 84.5 Hz. In (b) ~ (d), blue curve indicates the SSVEP response and green dot represents the position of electrode. In (b), the black vertical line denotes the standard deviation (STD) of 8 Hz response for 10 rats on each electrode.
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f1: The SSVEP responses for the three frequency stimuli on 12 electrodes averaged over 10 rats.(a) The original intracranial EEG waveforms of one rat at electrode V1_L for the three stimuli; (b) 8 Hz spectrum in range 7.5 Hz ~ 8.5 Hz; (c) 44 Hz spectrum in range 43.5 Hz ~ 44.5 Hz; (d) 84 Hz spectrum in range 83.5 Hz ~ 84.5 Hz. In (b) ~ (d), blue curve indicates the SSVEP response and green dot represents the position of electrode. In (b), the black vertical line denotes the standard deviation (STD) of 8 Hz response for 10 rats on each electrode.

Mentions: Figure 1(a) shows the original intracranial EEG waveform on electrode V1_L of one rat for 8 Hz, 44Hz and 84 Hz stimuli, respectively. Based on the FFT transformation for the 2 minute long recordings, the averaged SSVEP responses on the 12 electrodes over 10 rats for the three frequency stimuli are given in Figure 1(b)~(d), where the strong SSVEP response of 8 Hz can be consistently observed on all the 12 electrodes, and only very weak response can be observed on some sites like V1, V2 and PtA for 44 Hz and 84 Hz stimuli. This finding also demonstrates that SSVEP can be evoked under anesthesia.


Cortical network properties revealed by SSVEP in anesthetized rats.

Xu P, Tian C, Zhang Y, Jing W, Wang Z, Liu T, Hu J, Tian Y, Xia Y, Yao D - Sci Rep (2013)

The SSVEP responses for the three frequency stimuli on 12 electrodes averaged over 10 rats.(a) The original intracranial EEG waveforms of one rat at electrode V1_L for the three stimuli; (b) 8 Hz spectrum in range 7.5 Hz ~ 8.5 Hz; (c) 44 Hz spectrum in range 43.5 Hz ~ 44.5 Hz; (d) 84 Hz spectrum in range 83.5 Hz ~ 84.5 Hz. In (b) ~ (d), blue curve indicates the SSVEP response and green dot represents the position of electrode. In (b), the black vertical line denotes the standard deviation (STD) of 8 Hz response for 10 rats on each electrode.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3750539&req=5

f1: The SSVEP responses for the three frequency stimuli on 12 electrodes averaged over 10 rats.(a) The original intracranial EEG waveforms of one rat at electrode V1_L for the three stimuli; (b) 8 Hz spectrum in range 7.5 Hz ~ 8.5 Hz; (c) 44 Hz spectrum in range 43.5 Hz ~ 44.5 Hz; (d) 84 Hz spectrum in range 83.5 Hz ~ 84.5 Hz. In (b) ~ (d), blue curve indicates the SSVEP response and green dot represents the position of electrode. In (b), the black vertical line denotes the standard deviation (STD) of 8 Hz response for 10 rats on each electrode.
Mentions: Figure 1(a) shows the original intracranial EEG waveform on electrode V1_L of one rat for 8 Hz, 44Hz and 84 Hz stimuli, respectively. Based on the FFT transformation for the 2 minute long recordings, the averaged SSVEP responses on the 12 electrodes over 10 rats for the three frequency stimuli are given in Figure 1(b)~(d), where the strong SSVEP response of 8 Hz can be consistently observed on all the 12 electrodes, and only very weak response can be observed on some sites like V1, V2 and PtA for 44 Hz and 84 Hz stimuli. This finding also demonstrates that SSVEP can be evoked under anesthesia.

Bottom Line: Steady state visual evoked potentials (SSVEP) are assumed to be regulated by multiple brain areas, yet the underlying mechanisms are not well understood.In this study, we utilized multi-channel intracranial recordings together with network analysis to investigate the underlying relationships between SSVEP and brain networks in anesthetized rat.All these aspects consistently indicate that SSVEP response is closely correlated with network properties, the reorganization of the background network plays a crucial role in SSVEP production, and the background network may provide a physiological marker for evaluating the potential of SSVEP generation.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.

ABSTRACT
Steady state visual evoked potentials (SSVEP) are assumed to be regulated by multiple brain areas, yet the underlying mechanisms are not well understood. In this study, we utilized multi-channel intracranial recordings together with network analysis to investigate the underlying relationships between SSVEP and brain networks in anesthetized rat. We examined the relationship between SSVEP amplitude and the network topological properties for different stimulation frequencies, the synergetic dynamic changes of the amplitude and topological properties in each rat, the network properties of the control state, and the individual difference of SSVEP network attributes existing among rats. All these aspects consistently indicate that SSVEP response is closely correlated with network properties, the reorganization of the background network plays a crucial role in SSVEP production, and the background network may provide a physiological marker for evaluating the potential of SSVEP generation.

Show MeSH