Evidence map›Paper›PMID 38343858›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Acute to long-term characteristics of impedance recordings during neurostimulation in humans.

Jie Cui, Filip Mivalt, Vladimir Sladky, Jiwon Kim, Thomas J Richner, Brian N Lundstrom, Jamie J Van Gompel, Hai-Long Wang, Kai J Miller, Nicholas Gregg and 6 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 3 countries.

Jie CuiDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-1000-8869
Filip MivaltDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-0693-9495
Vladimir SladkyDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-4712-7039
Jiwon KimDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Thomas J RichnerDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-6230-1464
Brian N LundstromDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-5310-5549
Jamie J Van GompelDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Hai-Long WangDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9013-3007
Kai J MillerDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-6687-6422
Nicholas GreggDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-6151-043X
Long Jun WuDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-8019-3380
Timothy DenisonDepartment of Engineering Science, University of Oxford; MRC Brain Network Dynamics Unit, University of Oxford, OX3 7DQ UK.ORCID 0000-0002-5404-4004
Bailey WinterDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-1157-2138
Benjamin H BrinkmannDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-2392-8608
Vaclav KremenDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9844-7617
Gregory A WorrellDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-2916-0553
Mayo Clinic · USUniversity of Oxford · GB

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Reliable Seizure Prediction Using Physiological Signals and Machine LearningR01NS092882 · NINDS · MAYO CLINIC ROCHESTER · PI Gregory A Worrell · 2015 to 2026
$5.7M
The glial mechanism for electrical brain stimulationR01NS112144 · NINDS · MAYO CLINIC ROCHESTER · PI WANG, HAI-LONG, WORRELL, GREGORY A · 2019 to 2023
$3.8M
Neurophysiologically Based Brain State Tracking & Modulation in Focal EpilepsyUH3NS095495 · NINDS · MAYO CLINIC ROCHESTER · PI WORRELL, GREGORY A · 2019 to 2021
$2.8M
Optimizing Pharmacotherapy with Noninvasive Wearable Sensors and Subscalp EEGUG3NS123066 · NINDS · MAYO CLINIC ROCHESTER · PI BRINKMANN, BENJAMIN H, WORRELL, GREGORY A · 2022 to 2024
$1.2M
NCATS NIH HHS UL1 TR000135NINDS NIH HHS R01 NS092882NINDS NIH HHS R01 NS112144NINDS NIH HHS UG3 NS123066NINDS NIH HHS UH3 NS095495
6 · The paper itself

Abstract

Objective: This study aims to characterize the time course of impedance, a crucial electrophysiological property of brain tissue, in the human thalamus (THL), amygdala-hippocampus (AMG-HPC), and posterior hippocampus (post-HPC) over an extended period. Approach: Impedance was periodically sampled every 5-15 minutes over several months in five subjects with drug-resistant epilepsy using an experimental neuromodulation device. Initially, we employed descriptive piecewise and continuous mathematical models to characterize the impedance response for approximately three weeks post-electrode implantation. We then explored the temporal dynamics of impedance during periods when electrical stimulation was temporarily halted, observing a monotonic increase (rebound) in impedance before it stabilized at a higher value. Lastly, we assessed the stability of amplitude and phase over the 24-hour impedance cycle throughout the multi-month recording. Main results: Immediately post-implantation, the impedance decreased, reaching a minimum value in all brain regions within approximately two days, and then increased monotonically over about 14 days to a stable value. The models accounted for the variance in short-term impedance changes. Notably, the minimum impedance of the THL in the most epileptogenic hemisphere was significantly lower than in other regions. During the gaps in electrical stimulation, the impedance rebound decreased over time and stabilized around 200 days post-implant, likely indicative of the foreign body response and fibrous tissue encapsulation around the electrodes. The amplitude and phase of the 24-hour impedance oscillation remained stable throughout the multi-month recording, with circadian variation in impedance dominating the long-term measures. Significance: Our findings illustrate the complex temporal dynamics of impedance in implanted electrodes and the impact of electrical stimulation. We discuss these dynamics in the context of the known biological foreign body response of the brain to implanted electrodes. The data suggest that the temporal dynamics of impedance are dependent on the anatomical location and tissue epileptogenicity. These insights may offer additional guidance for the delivery of therapeutic stimulation at various time points post-implantation for neuromodulation therapy.

Indexed as

Biological impedanceCircadian cycleEpilepsyImplant effectIntracranial monitoringNeuromodulation

Identifiers

PMID38343858
PMCPMC10854350
OpenAlexW4391166842

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.