Infinitome

Using magnetic resonance imaging (MRI) data, the cloud-based Infinitome software package provides researchers with a wide array of tools, visualisations, and export options to help neuroscientists gain deeper insights into the structure of the brain. Through combining functional and structural MRI data with diffusor-weighted imaging, Infinitome is able to parcellate the human brain into 379 subregions defined in the Glasser atlas. 

With the aid of these detailed visualisations, Infinitome provides a powerful (but intuitive) platform that allows for easy and accurate identification of specific regions of the brain and the connections between them, with the build-in functionality to export this data directly to neuronavigation systems allowing researchers to quickly, accurately, and reliably apply stimulation to their chosen brain areas.

Even in subjects where the brain may be abnormally shaped or structurally reorganised  (for example due to injury), Infinitome is able to quickly provide researchers with highly-detailed connectomic maps of the human brain. Making use of novel 're-parcellation' techniques and diffusion tractography data, Infinitome's visualisations can be created and ready to use in less than one hour.

Infinitome uses resting-state functional magnetic resonance imaging (fMRI) and advanced machine learning algorithms to parcellate 379 subregions of the brain. As a result of this, researchers are able to view specific networks, subregions, tracts, and parcellations of the human brain both together and separately, as well as access detailed comparisons to a large control group of healthy brain scans.

Functional connectivity between (sub)regions within the brain can be calculated, and any significant anomalies in the scan are identified and flagged to the researcher where required. Functional connectivity matrices within the software can also be used to identify which areas of one brain region form networks with others, which can be particularly useful when identifying networks that may be affected by the application of non-invasive brain stimulation techniques such as tES, TMS, or TUS.

Where relevant, Infinitome's Automatic Data Labelling functionality can also streamline the process of registering an individual scan against a subject's history and physical examination (H&P). Natural Language Processing (NLP) algorithms within the software are then able to read and interpret medical records (with support for both English and Chinese records) and extract any relevant information.

In addition to this core software, Infinitome offers a companion neurocognitive testing tablet application. This application, which currently supports both MMSE (general test of cognition) and Corsi block tapping (processing and sequencing) tests, can be operated by both neuroscientists and trained non-experts to expedite the process of data collection, with results synchronising directly with the Infinitome software. Many further cognitive tests are planned for further updates of this application.

Infinitome offers comprehensive data export options: allowing researchers to run the results of their scans through other output models, and to export parcellated regions/networks, visualisations, and targets to other applications and systems.

For non-invasive brain stimulation researchers working with transcranial magnetic stimulation techniques, in particular, Infinitome's direct export of brain targets into the Brainsight TMS Neuronavigation system can significantly expedite the process of fast and accurate placement of a TMS coil based on the individual subject's brain.

All sensitive, patient-related data within Infinitome is handled sensitively and securely with fully HIPAA-compliant protocols and state-of-the-art encryption techniques. Please note that Infinitome is not a medical device, and is intended for research purposes only.

How can Connectomics be used to support my non-invasive brain stimulation research?

In the video below, Dr Michael Sughrue, one of the world's leading neurosurgeons, explores the advances of connectomics as it relates to improving subject-specific targeting precision, why this is critical, and how to use today’s software platforms to achieve this practically.