Electrophysiology of gliomas: current science, implications, and opportunities
Gliomas engage in bidirectional communication with neurons, promoting hyperexcitable conditions that enable neural circuit infiltration and drive tumor growth. These neuron-glioma interactions create patterns of aberrant neural activity that can be detected using intracranial electrodes. While conventional clinical electrodes are limited by low spatiotemporal resolution and lack of single-unit precision, recent advances in neural engineering have introduced multiple types of high-density electrodes that provide orders of magnitude greater spatial resolution. Pairing these tools with emerging characterizations of novel, glioma-associated electrophysiological signatures offers new opportunities to understand disease progression and improve surgical and medical management for gliomas and glioma-related epilepsy. In this review, we begin by outlining foundational research in cancer neuroscience and neuron-glioma interactions through the lens of extracellular dynamics. We then discuss established and emerging methods for intraoperative evaluation of neural activity, what is known about glioma-associated oscillatory and aperiodic trends, and implications for future studies. Finally, we consider the therapeutic potential of neuromodulation for gliomas.
Authors
- A. Raslan
- Jordan L. Smith (ORCID: https://orcid.org/0000-0003-0460-0647)
- Hanna E. Minns (ORCID: https://orcid.org/0000-0001-7120-5511)
- Daniel R. Cleary (ORCID: https://orcid.org/0000-0001-7112-4519)
- Nemanja Useinovic (ORCID: https://orcid.org/0000-0003-2788-7441)
- Sushant Puri (ORCID: https://orcid.org/0000-0002-9990-969X)
- Angelique C. Paulk (ORCID: https://orcid.org/0000-0002-4413-3417)
Institutions
- Harvard University (US)
- Johns Hopkins University (US)
- Oregon Health & Science University (US)
- Johns Hopkins Medicine (US)
- Portland VA Medical Center (US)
- Massachusetts General Hospital (US)
- Center for Neuro-Oncology (US)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-02
- DOI
- https://doi.org/10.3389/fonc.2025.1611840
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00