The Science Behind

Based on more than 10 years of our research, and over 100 of our peer-reviewed scientific journal articles.

Our Peer-Reviewed
Scientific Journal Articles


Structural-Functional Connectivity Bandwidth of the Human Brain

Annals of Clinical and Translational Neurology

Network Diffusion Modeling Predicts Neurodegeneration in Traumatic Brain Injury

The American Journal of Neuroradiology

Modelling the Anatomic Distribution of Neurologic Events in Patients with COVID-19: A Systematic
Review of MRI Findings

Human Brain Mapping

Network Spread Determines Severity of Degeneration
and Disconnection in Huntington's Disease

Network Neuroscience

Personalized Structural Connectomics for Moderate-Severe Traumatic Brain Injury

NeuroImage: Clinical

Structural-Functional Connectivity Bandwidth Predicts Processing Speed in Mild Traumatic Brain Injury: A Multiplex Network Analysis

Core Technologies

Designed to map, track and predict brain health.

BrainCast reports provide a comprehensive analysis of the MRI scan conducted. Each report focuses on various MRI techniques, including structural MRI and diffusion MRI, to evaluate brain health. Our reports present findings of our in-house analysis of T1-weighted MRI, T2-weighted FLAIR, diffusion-weighted MRI (DWI), and susceptibility-weighted imaging (SWI). The T1-weighted MRI analysis examines the volume and thickness of 84 cortical and sub-cortical brain regions. Diffusion-weighted MRI is used to quantify microstructural changes in the white matter. FLAIR MRI scans are used for lesion load mapping and identifying white matter hyperintensities. All quantitative data obtained from the individual’s scans is compared against benchmark normative data of 1000 individuals within a 10-year age range.

Our MRI-based analyses of brain volume is a powerful tool for investigating the structure and function of the brain in health and disease. It can provide important information about brain development, aging, and the underlying pathology of neurologic disorders, and can help to guide the development of new treatments and interventions for these disorders. Our AI algorithm also detects and analyses brain lesions, providing valuable insights into their characteristics and changes over time, aiding in disease monitoring and treatment evaluation. Our advanced diffusion MRI is capable of detecting and characterising brain pathology, especially in cases of traumatic brain injury (TBI). By assessing the integrity and microstructural changes in white matter tracts, it enables precise evaluation of TBI-related axonal injury, fibre disruption, and cerebral microbleeds, leading to improved diagnosis and monitoring of TBI severity and progression.

Our longitudinal analyses tell the story of how white matter microstructure changes over time, to provide actionable insights. This tool allows for the detection and monitoring of changes in white matter integrity, which can be indicative of neurodegenerative diseases, traumatic brain injury, or other pathological conditions. By comparing these changes to healthy controls, or previous timepoints, we enable the identification of abnormalities and potential disease progression, even before serious cognitive or behavioural symptoms manifest.