Modified electrical activity in neuronal networks is symptomatic of a wide range of CNS disorders. SynapCell’s team has expertise in identifying and deciphering these signals, giving you access to the most accurate translational drug discovery tools.
HOW IT WORKS
We measure the electrical activity of neuronal networks by recording local field potentials (LFP). We register different forms of electrical activities, using a wide range of advanced EEG-based recording and processing techniques to give you a precise answer to your specific question.
Making clear and better-informed decisions.
Since 2005 we have been developing Cue®, which core technology can predict in-human efficacy of a lead candidate, at the preclinical step. EEG-based and patient inspired, Cue® is the smart combination of a team with specific skillsets in Neuroscience, translational rodent models, high-end recording techniques and proprietary signal processing. SynapCell’s technology measures specific oscillatory activities from any brain structure. Known to be altered in CNS disorders and highly conserved across species, these EEG biomarkers are used to determine the effect of a given molecule on brain function.
To your specific question, Cue® offers a series of pharmacodynamic assays for:
- Lead selection (screening of small libraries of compounds)
- Lead validation (dose-response effect, pharmacokinetics)
- Disease-Modifying potential
- Antiepileptogenic effect
- Model phenotyping
- De-risking (pro-epileptic effect)
- Dose optimizing and much more…
Having Dormant EEG Data on your servers?
What if you had a treasure that’s hidden down there?
Cue® can run any of your past EEG recordings to deliver precise outcomes in a full comprehensive report so you can benefit from our expertise in analysis and pharmacology understanding.
Various aspects of epileptiform activity can be observed. The two most commonly tracked are epileptiform discharges and epileptic spikes. These two types of brain activity are indicative of hyperexcitability and hypersynchrony in a group of neurons. Both can be measured with EEG across all the structures of the brain.
Useful for: Epilepsy, Autistic spectrum disorders, Alzheimer’s disease. Learn more…
Oscillatory activity is the electrical activity measured in the brain by EEG, whether spontaneous or evoked.
Analysis of this activity is divided into frequency bands to measure the variation in composition and power linked to how the disease and the drugs affect brain function.
This type of activity can also be used to identify the disease state in animal models.
Useful for: Autistic spectrum disorders, Parkinson’s disease, Alzheimer’s disease, Schizophrenia. Learn more…
Event Related Potentials
This type of electrical activity is evoked by a sensory stimulus or changes to the animal’s environment.
Event Related Potentials have a stereotypic structure, composed of a succession of positive and negative voltage deflections over a defined time-scale.
From ERP recordings we can quantify several parameters:
– amplitudes and latencies of deflections,
– sensory gating, which is how the brain filters out redundant information,
– evoked gamma, reflecting the integration and processing of the information in response to sensory stimuli,
– inter-trial coherence (ITC), a measure of the reliability with which a subject responds to each new stimulus.
Useful for: Autistic spectrum disorders, Alzheimer’s disease, Schizophrenia. Learn more…
Multisite coherence reveals the functional cross-talk between at least two connected brain structures. Perturbations to this cross-talk are indicators of the initiation or maintenance of a disease state.
Useful for: Parkinson’s disease, Schizophrenia, Alzheimer’s disease. Learn more…