This technology non-invasively shifts brain functions from damaged to healthy areas using targeted brain stimulation and brain-computer interface training, harnessing neuroplasticity to preserve or restore abilities in patients, such as those undergoing brain tumor surgery.
The field of neuro-oncology and neurosurgery constantly grapples with the delicate management of brain tumors situated within or adjacent to eloquent cortical areas. These critical brain regions are responsible for essential human functions, including motor control, sensory perception, and speech production. When a patient develops a tumor in these zones, there is an urgent clinical need to safely eradicate the malignancy without stripping the individual of their fundamental cognitive and physical abilities. Consequently, preserving neurological integrity while ensuring patient survival remains one of the most paramount and challenging objectives in modern neurosurgical practice.
Despite advances in surgical mapping, current approaches face an unavoidable anatomical dilemma: if a tumor has directly infiltrated functional brain tissue, physically removing the cancerous mass inherently destroys the neural circuits housed within it. Surgeons are frequently forced into a devastating compromise between maximizing the oncological resection to prevent cancer recurrence and intentionally leaving malignant tissue behind to avoid causing permanent paralysis or aphasia. Existing mapping techniques only identify where functions currently reside; they cannot salvage the capabilities of tissue that must be excised. This rigid reliance on the brain's static functional topography inevitably leads to severe post-operative neurological deficits.
This neuro-rehabilitation technology provides a non-invasive method to relocate neural activation patterns from compromised brain regions to healthy tissue. The solution operates through a closed-loop brain-computer interface (BCI) paired with focal neuromodulation, such as transcranial magnetic stimulation. It simultaneously delivers targeted inhibitory energy to a primary region, like a tumor-infiltrated zone, while promoting neural activity in adjacent areas. Utilizing real-time decoding of motor imagery and continuous user feedback, the system harnesses the brain's natural neuroplasticity. This dual-action approach uses learning-based conditioning to decrease functional representation in the targeted area while establishing new networks in the secondary region.
What sets this technology apart is its proactive approach to pre-surgical functional preservation. Unlike traditional post-operative rehabilitation, this system intentionally transfers critical motor or sensory outputs before surgical resection occurs. Its unique responsive architecture dynamically triggers inhibitory stimulation only when specific neural probabilities exceed a threshold, ensuring highly precise modulation. By coupling targeted suppression of endogenous activation with BCI-driven enhancement of new cortical sources, it forces a true physiological transfer of function rather than mere behavioral compensation. This tightly correlated physiological validation offers a groundbreaking strategy to significantly improve surgical outcomes and safeguard critical abilities.
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This methodology non-invasively relocates spatiotemporal neural activation by inhibiting primary regions while enhancing secondary zones. It integrates closed-loop brain-computer interfaces with focal neuromodulation, such as transcranial magnetic stimulation or ultrasound, to drive neuroplasticity. By employing Riemannian geometry algorithms for real-time decoding and learning-based conditioning, the system establishes new functional representations in healthy peritumoral tissue, effectively preserving motor and sensory outputs during surgical resection.
Provisional Patent 64/042,630 filed 04/17/26