A system and method for determining a treatment to be applied to the brain

The fMRI connectome targeting localization method addresses the variability in brain stimulation by using multi-resolution parcellations and a threshold-free tree-based search to determine individualized stimulation locations and strengths, enhancing treatment efficacy and reliability.

AU2025212490A1Pending Publication Date: 2026-07-16NATIONAL UNIVERSITY OF SINGAPORE +3
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Patent Information

Application Number
AU2025212490
Authority / Receiving Office
AU · AU
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-01-26
Filing Date
2025-01-27
Publication Date
2026-07-16

AI Technical Summary

Technical Problem

Existing brain stimulation techniques face challenges in accurately determining optimal stimulation locations and strengths due to inter-individual variability, leading to potential adverse effects and discomfort, as they often rely on coarse-scale individualized brain networks or one-spot-fits-all anatomical approaches that do not account for anatomical and functional differences among patients.

Method used

A novel functional Magnetic Resonance Imaging (fMRI) connectome targeting localization approach that uses multi-resolution parcellations and a threshold-free tree-based search to identify individualized stimulation locations and strengths, considering both functional and anatomical metrics, thereby eliminating the need for manual threshold selection.

Benefits of technology

This approach significantly improves treatment efficacy and reliability by precisely targeting brain regions, reducing the risk of adverse effects and patient discomfort, while allowing for faster and more reliable dosage titration without the need for manual parameter tuning.

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Abstract

Disclosed is a method for determining a treatment to be applied to a brain of a patient, such as determining a transcranial magnetic stimulation (TMS) treatment location(s) and treatment strength to be applied to a brain of a patient suffering from depression. A search of the brain, based on coarse-scale parcellations, treatment metric and one or more anatomical metrics, is conducted to select the treatment location(s). In one embodiment, this involves progressively varying a value of a parameter associated with a gyrus threshold and for each value, identifying candidate treatment locations based on a functional connectivity of a subgenual anterior cingulate cortex during resting-state functional magnetic resonance imaging (fMRI) recorded over a plurality of multimodal brain imaging sessions, and selecting as the respective treatment location the candidate location that is closest to all other candidate treatment locations.
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