BCIwiki (bciwiki.com) — A preprint study demonstrates a platform for chronically monitoring glioma progression using implanted neural interfaces, showing that tumor progression was consistently associated with elevated gamma-band neural activity in the tumor microenvironment across mouse strains and glioma models. The study, by researchers including Coherence Neuro Global, Inc., was posted to bioRxiv on July 9, 2026, and has not been peer reviewed.
The team implanted neural interfaces in freely behaving mice with gliomas and recorded chronic neural activity. Results showed that in both adult glioblastoma (GBM) and pediatric diffuse intrinsic pontine glioma (DIPG) models, tumor progression was associated with elevated gamma-band activity; lower-frequency activity showed distinct, cell-line-specific changes: GBM models exhibited decreases, while DIPG models exhibited increases over time.
Using machine learning models applied to chronic neural recordings, the researchers accurately predicted tumor burden (inferred via in vivo bioluminescence imaging) and, by fitting low-dimensional mathematical models to gamma-band neural trajectories, predicted individual tumor growth rates over a 5-week period with high accuracy. The study suggests that pathological neural-tumor interactions can be harnessed to monitor glioma progression, and coupling this monitoring with therapeutic electrical stimulation in the same device could open a new class of implantable, closed-loop neurotechnologies for glioma treatment.