Evidence map›Paper›PMID 39204909›Full record

ArticleSensors (Basel, Switzerland)2024

A Polymer Thick Film on an Organic Substrate Grid Electrode and an Open-Source Recording System for UHF MRI: An Imaging Study.

Yinching Iris Chen, Ilknur Ay, Francesca Marturano, Peter Fuller, Hernan Millan, Giorgio Bonmassar

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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.

No citing paper in PubMed yet.

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.

Yinching Iris ChenAA. Martinos Center Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.ORCID 0000-0002-9916-2207
Ilknur AyAA. Martinos Center Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.
Francesca MarturanoAA. Martinos Center Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.ORCID 0000-0002-5430-1234
Peter FullerPLF Consulting, 258 Harvard Street #324, Brookline, MA 02446-2904, USA.
Hernan MillanAA. Martinos Center Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.
Giorgio BonmassarAA. Martinos Center Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.ORCID 0000-0002-4694-9698

Funding

Novel high-field MRI compatible subdural electrode and acquisition system for recording and stimulation in small animalsR43MH128138 · NIMH · EMRI SYSTEMS LLP · PI MILLAN, HERNAN · 2021 to 2022
$227k
NIH HHS R43MH128138
6 · The paper itself

Abstract

Electrocorticography (ECoG) is a critical tool in preclinical neuroscience research for studying global network activity. However, integrating ECoG with functional magnetic resonance imaging (fMRI) has posed challenges, due to metal electrode interference with imaging quality and heating around the metallic electrodes. Here, we introduce recent advancements in ECoG grid development that utilize a polymer-thick film on an organic substrate (PTFOS). PTFOS offers notable advantages over traditional ECoG grids. Firstly, it significantly reduces imaging artifacts, ensuring minimal interference with MR image quality when overlaying brain tissue with PTFOS grids. Secondly, during a 30-min fMRI acquisition, the temperature increase associated with PTFOS grids is remarkably low, measuring only 0.4 °C. These findings suggest that utilizing ECoG with PTFOS grids has the potential to enhance the safety and efficacy of neurosurgical procedures. By providing clearer imaging results and mitigating risk factors such as excessive heating during MRI scans, PTFOS-based ECoG grids represent a promising advancement in neurosurgical technology. Furthermore, we describe a cutting-edge open-source system designed for simultaneous electrophysiology and fMRI. This system stands out due to its exceptionally low input noise levels (<0.6 V peak-to-peak), robust electromagnetic compatibility (it is suitable for use in MRI environments up to 9.4 teslas), and the inclusion of user-programmable real-time signal-processing capabilities. The open-platform software is a key feature, enabling researchers to swiftly implement and customize real-time signal-processing algorithms to meet specific experimental needs. This innovative system has been successfully utilized in several rodent EEG/fMRI studies, particularly at magnetic field strengths of 4.7 and 9.4 teslas, focusing on the somatosensory system. These studies have allowed for detailed observation of neural activity and responses within this sensory system, providing insights that are critical for advancing our understanding of neurophysiological processes. The versatility and high performance of our system make it an invaluable tool for researchers aiming to integrate and analyze complex datasets from advanced imaging and electrophysiological recordings, ultimately enhancing the depth and scope of neuroscience research.

Indexed as

Magnetic Resonance ImagingPolymersAnimalsBrainElectrocorticographyElectrodesHumansRatsPolymers4.7 teslas9.4 teslasartifactsECoGmagnetic resonance imagingMRI heatingopen-access softwareratsrecording system

Identifiers

PMID39204909
PMCPMC11359886

What OpenQuestion holds

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LicenceCC BY
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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.