Neurophet tES Lab
Ultra-fast Brain Segmentation
The sophisticated AI engine behind Neurophet tES Lab 4.0 is capable of carrying out fully-automated, ultra-fast brain segmentation of a subject's individual magnetic resonance imaging (MRI) data, significantly shortening the time required to carry out a process that can take multiple hours with other methods. With Neurophet tES Lab, users are able to quickly simulate all tissues that separate tES electrodes from the brain, such as skin, skull, CSF, white matter, and grey matter.
Based on this MRI data segmentation, the advanced built-in brain modelling engine is then capable of creating a fully-personalised, 3D individual brain model that can be used to simulate current flow, which can increase accuracy in positioning electrodes and potentially lead to less variable, more reproducible tES effects.
Computational Modelling Without MRI Data
For researchers working without MRI data, the Neurophet software also includes a wide variety of human templates, from stock MRI data to fully-rendered 3D models for a rich and fast, easily accessible research environment.
User-friendly Controls
Neurophet tES Lab 4.0’s intuitive interface can calculate the best configuration of electrodes to apply focal stimulation to a desired target, in addition to simulating current flow from user-defined montages (including 10-20 co-ordinate positioning).
The software's easy-to-use interface, controls, and flexible settings allow users to modify and adapt all aspects of their desired tES protocol. Neurophet tES Lab offers researchers full control over the size, shape (circle, square, ring, etc.), number, position, and intensity (mV) of all electrodes, as well as control over waveform type (tDCS/tACS) with just a few clicks.
Simulated stimulation results allow users to view the effects of the applied stimulation and analyse these findings in a number of ways, including user-selected points on a segmented MRI.
For ultimate compatibility with other experiments, Neurophet tES Lab supports the export of 3D models and simulated stimulation result data for use in collaboration with other studies in a variety of common formats (MATLAB, Python, etc.).
View an Introduction to the Neurophet tES Lab 2.0
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USER FRIENDLY OPERATION
Whereas some solutions for computational modelling techniques require users to have a deep understanding of complex coding techniques, the Neurophet tES Lab's user-friendly UI and ultra-fast, responsive operation provides the ultimate ease-of-use for any tES researchers looking to try current flow modelling for themselves.
AUTOMATIC SEGMENTATION
The Neurophet tES Lab offers full, automatic segmentation of imported MRI data. With Neurophet tES Lab, users are able to quickly simulate all tissues that separate tES electrodes from the brain, such as skin, skull, CSF, white matter, and grey matter.
MRI DATA COMPATIBILITY
The Neurophet tES Lab allows users to import a subject's individual MRI data to create a fully 3D render of the subject's head.
For those working without individual MRI data, Neurophet offers a large bank of preset human templates.
FULL ELECTRODE CUSTOMISATION
Neurophet tES Lab offers researchers full freedom to customise electrodes. Round, square, and ring electrodes can be created in a range of various sizes.
SIMULATE & ANALYSE STIMULATION
Neurophet tES Lab allows researchers to quickly optimise, simulate and analyse the effects of stimulation to their chosen brain regions.
Various colour maps allow users to easily customise and change their settings for ultimate accessibility.
ROBUST DATA EXPORT OPTIONS
The Neurophet tES Lab offers robust data export options.
3D models and stimulation results can be exported for use and compatibility with other studies run in MATLAB and Python.
Format |
NIfTI-1(.nii) |
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|
---|---|---|---|
Sequence |
T1-weighted |
|
|
Slice spacing |
Coronal ≤ 1.0 mm |
Sagittal ≤1.0 mm |
Axial ≤1.6 mm |
Field strength |
1.5T |
3.0T |
|
Validated MRI data |
GE |
SPGR |
Singha HDxt 1.5T |
|
Philips |
MPRAGE |
Intre 1.5T |
|
|
TFE |
Ingenia 3T |
|
|
|
Intra 3T |
|
Siemens |
MPRAGE |
Skyra 3T |
|
|
|
Verio 3T |
- Targeting reduced neural oscillations in patients with schizophrenia by transcranial alternating current stimulation.. Ahn S, Mellin JM, Alagapan S, Alexander ML, Gilmore JH, Jarskog LF, & Fröhlich F. NeuroImage. February 2019
- Geometrical Variation’s Influence on the Effects of Stimulation May be Important in the Conventional and Multi-Array tDCS–Comparison of Electrical Fields Computed. Cheolki Im, Hyeon Seo, & Sung Chan Jun. IEEE. 2018
- Validation of Computational Studies for Electrical Brain Stimulation With Phantom Head Experiments. Kim D, Jeong J, Jeong S, Kim S, Jun SC, & Chung E. Brain Stimulation. 2015
- Computational Study on Subdural Cortical Stimulation - The Influence of the Head Geometry, Anisotropic Conductivity, and Electrode Configuration. Donghyeon Kim, Hyeon Seo, Hyoung-Ihl Kim, & Sung Chan Jun. PLOS ONE. September 2014
- E-CoCS: Environment of computational simulator for cortical stimulation. Donghyeon Kim, Hyeon Seo, Mi-jin Lee & Sung Chan Jun. Biomedical Engineering Letters. 2014
Compatible Products
This product can be used in combination with some of our other systems. Find out more by selecting one from the list below.
Associated Techniques
To find out more about the techniques that are applicable to this product, follow the links below.
Added Value
In addition to supplying and supporting a wide range of neuroscience products, Brainbox offers additional value in a number of areas that can benefit our customers, including:
Training
Installation, Product Training, Technique Training, Bespoke Training
Lab Support
System Upgrades, Testing, Calibration, System Integration, Bespoke Solutions
Research Support
Study Design, Piloting, Technical Information, References
Collaboration
Grant Applications, Industrial Projects, Workshops