# Diagnostic validity and safety of high-gamma language mapping with intracranial EEG

> **NIH NS R01** · CINCINNATI CHILDRENS HOSP MED CTR · 2026 · $706,862

## Abstract

PROJECT SUMMARY
The current clinical standard-of-care for neurosurgical interventions for drug-resistant epilepsy (DRE) involves the use
of intracranial electrodes for localization of individual cortical sites responsible for seizures and for sensorimotor and
language functions. This static localizationist approach has not kept pace with modern models of the human brain as
spatiotemporally dynamic multistate system of interacting networks. Moreover, the current clinical approach has not
achieved satisfactory rates of post-operative freedom from seizures or cognitive impairments. The overall goal of
this renewal is to achieve these key conceptual (moving from localization-based to network-based approaches) and
practical (to improve seizure and language outcomes after epilepsy surgery) objectives. During the previous funding
period, we developed and validated methodologies to study language and epileptogenic networks in the brain
including, high-gamma modulation (HGM) language mapping, spatiotemporal propagation of HGM, functional
connectivity based on coherence modulations, and effective connectivity from cortico-cortical evoked potentials
(CCEPs) elicited with single pulse electrical stimulations (SPES). We generated evidence that (1) task-related HGM
can localize language regions with high specificity and improved safety compared to the current clinical standard of
electrical stimulation mapping (ESM) and is a better predictor of postsurgical standardized language outcomes, (2)
spatiotemporal propagation of HGM and coherence modulations can delineate neuronal circuits involved in language
processing and their dynamical properties on different time-scales, (3) incorporating CCEPs to define current
propagation along functional pathways can reconcile and improve sensitivity of HGM language mapping compared to
ESM, (4) CCEPs can delineate patient-specific epileptogenic networks which can be harnessed for precise and
personalized selection of surgical targets to improve

## Key facts

- **NIH application ID:** 11293468
- **Project number:** 2R01NS115929-06A1
- **Recipient organization:** CINCINNATI CHILDRENS HOSP MED CTR
- **Principal Investigator:** Ravindra  Arya; NATHAN E CRONE; Adeen  Flinker
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NS
- **Fiscal year:** 2026
- **Award amount:** $706,862
- **Award type:** 2
- **Project period:** 2020-06-01T00:00:00 → 2031-02-28T00:00:00

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11293468

## Citation

> US National Institutes of Health, RePORTER application 11293468, Diagnostic validity and safety of high-gamma language mapping with intracranial EEG (2R01NS115929-06A1). Retrieved via AI Analytics 2026-06-26 from https://api.ai-analytics.org/grant/nih/11293468. Licensed CC0.

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