NeuroXM™ Brain Science Suite

Get a grip on brain data

Biomax will soon launch the NeuroXM™ Brain Science Suite to give clients a better way to collect, structure, connect, analyze and re-use brain data. NeuroXM suite is now available for early access!

Built using Biomax’s fully configurable solution, the BioXM™ Knowledge Management Environment, the NeuroXM suite provides comprehensive information from neuroimaging, molecular biology, neuro-genomic data, public ontologies and data sets integrated in a unified knowledge model. The extendible network of interrelated neuroscience concepts gives users a single interface to collect knowledge, focus on specific questions and get a greater return on investments in expensive neurological data.

Manage big data in brain science

NeuroXM users can easily collect and organize massive neuroscientific and clinical data sets. Neuroimaging data from any modality can be imported and connected to the semantic knowledge model. Rather than searching in disparate databases or multiple spreadsheets, NeuroXM users have a single unified interface to assess and annotate massive neuroscientific and imaging data.

Integrate, standardize and analyze

The NeuroXM suite makes it possible to standardize and automate image preprocessing workflows. Distinct structural and functional connections in a brain image of a patient (e.g., a nerve bundle or fiber) can be identified, annotated and semantically integrated with functional, experimental, neuro-genomic and other information.

Correlate behavior with brain pathology

The NeuroXM suite can extract integrated facts from images. For example, it can integrate quantitative facts such as cortical thickness (voxel-based morphometry), structural and functional connection strengths (from DTI, fMRI, MEG and EEG), as well as receptor densities (from PET) and display them in intuitive reports or lattice graphs or use them to build functional brain networks.

Predict brain plasticity

The NeuroXM suite supports running brain simulations and computational disease models that can predict how the brain responds to lesions, neurodegeneration or pharmacological stimulation. With the ability to run any software code remotely, the NeuroXM suite provides a single unified data hub to feed the required brain data into such simulations.

Objectify treatment effectiveness

Neuropharmacology, neurorehabilitation and psychological treatment aim at repairing pathological brain states and connectivity patterns. The NeuroXM suite can easily organize longitudinal assessments of brain connectivity and other biomarkers and can quantify changes over time. The effectiveness of treatment is no longer a subjective clinical evaluation, but becomes transparent and objectifiable based on quantitative facts.

Explore brain circuitry

The NeuroXM suite lets the user define brain circuits with the help of anatomical and functional ontologies and to use them as templates to filter DTI or fMRI data sets. Changes in brain circuitry can be the structural correlate of neurological diseases and mental disorders. The NeuroXM suite enables clinicians to compare behavior to brain pathology more easily.

Open new opportunities

The NeuroXM semantic network can be continuously adapted as new neurological information and images become available. It offers a flexibility not previously known in the field of brain science and opens new opportunities in psychiatric diagnosis, pathophysiology and treatment.

Key benefits

With the NeuroXM suite, dealing with multimodal brain data becomes easy and straightforward. Not only do you get a grip on your brain data, you gain new insight and open new possibilities for research and healthcare.

  • Organize, structure and annotate large neuroscientific and clinical data sets
  • Integrate neuroimaging data with neuro-genomic data (e.g., gene expression and receptor density measurements)
  • Connect to other public and proprietary resources (like the Human Allen Brain Atlas or Brede ontologies)
  • Identify distinct structural and functional connections in a brain image of a patient and semantically integrate them with other data
  • Annotate and analyze data representing a nerve bundle or fiber (and thus a connection in a connectome) with a wide range of other revealing data
  • Integrate and use virtually any analysis tool
  • Run comparative analysis across data sets
  • Re-use data to hone experiments or improve patient treatment

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