Improved Localization Accuracy when using NeuroNavigator:
NeuroNavigator uses a real MRI with 12,470 voxels.
This is the largest number of voxels than any other EEG inverse solution. Below are some additional facts:
- NeuroNavigator uses a realistic head model based on the surfaces and voxels of a real MRI with exquisite detail.
- NeuroNavigator uses a Boundary Element Method (BEM) to compute the inverse solution and not a spherical head model
that does not fit the boundaries of the brain like the NeuroNavigator does.
- NeuroNavigator uses swLORETA (weighted sLORETA) that resolves depth of sources in the cortex.
- NeuroNavigator uses Single Value Decomposition (SVD) to transform the heterogenous Lead Field into a Homogeneous Lead field that not only
improves localization accuracy but also resolves sources at depths of the cortex.
- NeuroNavigator uses a Symptom Check List and Specific Network Hubs (Brodmann areas) so that users can link the brain to dysregulation in
networks related to symptoms.
- NeuroNavigator computes Z Scores and Raw values including Coherence and Phase Differences and Effeective Connectivity (magnitude and
direction of information flow using the Phase Slope Index).
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Here are some of the ways that a Clinician Using
NeuroNavigator Can be More Accurate and SaveTime:
- Measure the Scalp Electrical Field + Cortical Sources + Functional Connectivity + Effective Connectivity + Diffusion Tensor Imaging Simultaneously
using Transparent Scalp, Skull and Brain controls.
- NeuroNavigator is user friendly and allows one to rapdily change views and slices and a cutting tool to explore dysregulated brain regions linked to symptoms.
- Saves time in linking a Patient/Client's symptoms to dysregulation in Brodmann areas' nodes and connections between nodes
to produce a tailored Neurofeedback protocol that can be used inside of NeuroGuide.
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To learm more about NeuroNavigator and NeuroGuide or any of NeuroGuide's various Add-Ons, including the Neurofeedback or Brain-Computer-Interface Add-Ons,
please visit
www.appliedneuroscience.com.