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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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Related in: MedlinePlus

The dynamic changes of the SSVEP strength and the four network properties for one rat under 0.28 threshold.(a) The correlation between SSVEP strength and the network properties. The x-axis indicates the 8 Hz SSVEP strength normalized by the largest SSVEP strength of the same rat. The number close to the square dots represents the 3s-long segment index. R indicates the correlation coefficients, and p represents the statistical values for the relationship. (b) The network organization for the largest and smallest SSVEP responses compared to the control state for this rat. The red line denotes the edges that have increased linkage between the compared two networks, and the thickness of the edge delineates the increased strength. The green lines denote the decreased linkage edge with thickness delineating the decreased strength.
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f4: The dynamic changes of the SSVEP strength and the four network properties for one rat under 0.28 threshold.(a) The correlation between SSVEP strength and the network properties. The x-axis indicates the 8 Hz SSVEP strength normalized by the largest SSVEP strength of the same rat. The number close to the square dots represents the 3s-long segment index. R indicates the correlation coefficients, and p represents the statistical values for the relationship. (b) The network organization for the largest and smallest SSVEP responses compared to the control state for this rat. The red line denotes the edges that have increased linkage between the compared two networks, and the thickness of the edge delineates the increased strength. The green lines denote the decreased linkage edge with thickness delineating the decreased strength.

Mentions: Based on the observation that the SSVEP strengths of each individual rat were varied during the experiment, we hypothesized that the corresponding network properties and SSVEP for each rat may have a dynamic relationship. Using the network properties and SSVEP strengths calculated from the segments selected from individual rat, the dynamic relationship between 8 Hz-SSVEP strength and network properties was calculated under various thresholds for each rat. Figure 4(a) visually shows the relationship between network properties and SSVEP strength under 0.28 threshold for one rat, and other threshold also shows the similar relationship.


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 dynamic changes of the SSVEP strength and the four network properties for one rat under 0.28 threshold.(a) The correlation between SSVEP strength and the network properties. The x-axis indicates the 8 Hz SSVEP strength normalized by the largest SSVEP strength of the same rat. The number close to the square dots represents the 3s-long segment index. R indicates the correlation coefficients, and p represents the statistical values for the relationship. (b) The network organization for the largest and smallest SSVEP responses compared to the control state for this rat. The red line denotes the edges that have increased linkage between the compared two networks, and the thickness of the edge delineates the increased strength. The green lines denote the decreased linkage edge with thickness delineating the decreased strength.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f4: The dynamic changes of the SSVEP strength and the four network properties for one rat under 0.28 threshold.(a) The correlation between SSVEP strength and the network properties. The x-axis indicates the 8 Hz SSVEP strength normalized by the largest SSVEP strength of the same rat. The number close to the square dots represents the 3s-long segment index. R indicates the correlation coefficients, and p represents the statistical values for the relationship. (b) The network organization for the largest and smallest SSVEP responses compared to the control state for this rat. The red line denotes the edges that have increased linkage between the compared two networks, and the thickness of the edge delineates the increased strength. The green lines denote the decreased linkage edge with thickness delineating the decreased strength.
Mentions: Based on the observation that the SSVEP strengths of each individual rat were varied during the experiment, we hypothesized that the corresponding network properties and SSVEP for each rat may have a dynamic relationship. Using the network properties and SSVEP strengths calculated from the segments selected from individual rat, the dynamic relationship between 8 Hz-SSVEP strength and network properties was calculated under various thresholds for each rat. Figure 4(a) visually shows the relationship between network properties and SSVEP strength under 0.28 threshold for one rat, and other threshold also shows the similar relationship.

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
Related in: MedlinePlus