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Curry 4.6™

Multi-Modal Neuroimaging


A high-performance, robust tool for electromagnetic source localization and visualization, Curry integrates multiple, complementary image modalities (EEG and MEG; MRI, FMRI, CT, PET or SPECT) in a single software package. By combining the latest techniques for measuring electrical activity in the brain with anatomical and functional imaging, Curry provides a powerful method for accurately localizing electromagnetic sources. Curry uses the full physical anatomy from MR and CT to segment individualized three-dimensional models of the skull and brain to be used in source localization. Curry integrates functional imaging such as FMRI with EEG and MEG source reconstruction to allow the comparison of results and to enhance the validity of solutions.


Overview


Realistic head model


One of Curry’s most powerful features is its capability toconstruct a realistic head model from individualized anatomical information found in MRI and CT. The process of creating a realistic head model is highly automated (Macro Recorder). First, MRI slices are read, and an isotropic 3D MRI data set is generated. This isotropic data set is then used for identifying (segmenting) surfaces such as the cortex and the skin. These surfaces are used to create a Boundary Element Model, the volume conductor that models the conductive properties of the tissues in the head.

Curry can also utilize a simple multi-shell spherical head model in the absence of an anatomical data set.


Clear visualization of results


Curry allows clear visualization of results since the isotropic 3D MRI data set and the segmented surfaces are used to create images as well. This allows for visual inspection of

the brain surface and presentation of the outcome of reconstruction algorithms in realistic and comprehensive 3D-images. Thumbnail views and 3D movies introduce temporal aspects in your images.

Volumetric measurements are supported as well.


Anatomical and functional/ anatomical constraints


Anatomical and functional/anatomical information can be used to constrain reconstruction algorithms.

Source locations or distributions to be reconstructed can in most cases be constrained to a given (i.e. segmented) surface. Also, source locations or distributions can be constrained to be within a given region based on functional areas identified in fMRI or another functional imaging modality. Weighting factors can also be applied so sources are more likely to be found within the defined region, but they also can be found outside the region. If justified by a-priori physiological knowledge, the use of anatomical and functional/anatomical constraints yields reliable results while decreasing computation time.


Numerous source models


A variety of standard source models are offered, and a number of new models are also included. These include the equivalent current dipole (single, mirrored, multiple, moving, fixed), deviation scan, MUSIC, and Cortical Current Imaging or current density analysis.


Comparison of methods


Curry offers extensive possibilities for scientific investigations in the field of multi-modal neuroimaging. The availability of several source models enables easy comparison of results. Reconstructions using different source models are independent from each other, thus allowing verification of results. Reliability increases when different models yield similar findings. Switching between source models, volume conductors, and use of anatomical constraints is simple, requiring only a few mouse clicks.


CURRY 4

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