Evidence map›Paper›PMID 42338924›Full record

ArticleProceedings of the ... Design of Medical Devices Conference. Design of Medical Devices Conference2026

A RAPID PROTOTYPING ENVIRONMENT FOR CLOSED-LOOP NEUROMODULATION USING THE BRAIN INTERCHANGE SYSTEM.

Amir Hossein Ayyoubi, Behrang Fazli Besheli, Frederik Lampert, Jhan Luke Okkabaz, Chandra Prakash Swamy, Nuri Firat Ince

Abstract read
In one paragraph

Article in Proceedings of the ... Design of Medical Devices Conference. Design of Medical Devices Conference, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amir Hossein AyyoubiDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, USA.
Behrang Fazli BesheliDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Frederik LampertDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Jhan Luke OkkabazDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, USA.
Chandra Prakash SwamyDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Nuri Firat InceDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.

Funding

Acute Modulation of Stereotyped High Frequency Oscillations with a Closed-Loop Brain Interchange System in Drug Resistant EpilepsyUH3NS117944 · NINDS · UNIVERSITY OF HOUSTON · PI Nuri Firat Ince · 2021 to 2026
$2.9M
Investigation of Stereotyped High-Frequency Oscillations with Computational Intelligence for the Prediction of Seizure Onset Zone in EpilepsyR01NS112497 · NINDS · UNIVERSITY OF HOUSTON · PI INCE, NURI FIRAT · 2019 to 2023
$2.3M
NINDS NIH HHS R01 NS112497NINDS NIH HHS UH3 NS117944
6 · The paper itself

Abstract

For implantable closed loop neuromodulation systems, real-time neural sensing, biomarker detection, and targeted stimulation are essential components for delivering personalized therapy. Current limitations in sampling rate and the number of available recording channels in implantable systems may pose significant challenges, especially in epilepsy research where high-frequency biomarkers and multi-site monitoring are essential. The Brain Interchange (BIC) system of CorTec is an externally powered, wireless implantable system that enables sensing and stimulation up to 32 channels at 1 kHz addressing the current limitations in the field. In this study, we present a modular closed loop neuromodulation environment developed for the BIC, enabling real-time data streaming, event detection, and flexible stimulation control. The framework integrates a Simulink-based processing pipeline, real-time communication, and a graphical user interface supporting both open and closed loop paradigms. System performance was evaluated through impedance measurement, latency assessment across three stimulation modes, and real-time closed loop stimulation using electrocardiogram (ECG) for in-lab demonstration. This modular environment provides a flexible platform for developing and validating neuromodulation algorithms and can be extended to incorporate advanced biomarker detection and multi-channel neural interfaces for future clinical research.

Indexed as

Brain InterchangeClosed-Loop NeuromodulationEpilepsy

Identifiers

PMID42338924
PMCPMC13285958

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.