Evidence map›Paper›PMID 32286290›Full record

ArticleNature communications2020

Full activation pattern mapping by simultaneous deep brain stimulation and fMRI with graphene fiber electrodes.

Siyuan Zhao, Gen Li, Chuanjun Tong, Wenjing Chen, Puxin Wang, Jiankun Dai, Xuefeng Fu, Zheng Xu, Xiaojun Liu, Linlin Lu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
8.0field-weighted citation impact, top 1% of its field
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

56 citing papers in PubMed, 131 citations in OpenAlex.

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  14. Neuromodulation in Small Animal fMRI.Journal of magnetic resonance imaging : JMRI · 2025
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  19. A nanowell-based MoSiScience · 2024
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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

12 authors at 2 institutions in 1 country.

Siyuan Zhao *Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Gen Li *Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Chuanjun TongInstitute of Neuroscience, Chinese Academy of Sciences, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, 200031, China.
Wenjing ChenInstitute of Neuroscience, Chinese Academy of Sciences, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, 200031, China.
Puxin WangDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Jiankun DaiInstitute of Neuroscience, Chinese Academy of Sciences, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, 200031, China.
Xuefeng FuDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Zheng XuDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-8496-416X
Xiaojun LiuDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Linlin LuDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Zhifeng LiangInstitute of Neuroscience, Chinese Academy of Sciences, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, 200031, China. zliang@ion.ac.cn.ORCID http://orcid.org/0000-0003-2758-1194
Xiaojie DuanDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China. xjduan@pku.edu.cn.ORCID http://orcid.org/0000-0001-7799-3897
Peking University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simultaneous deep brain stimulation (DBS) and functional magnetic resonance imaging (fMRI) constitutes a powerful tool for elucidating brain functional connectivity, and exploring neuromodulatory mechanisms of DBS therapies. Previous DBS-fMRI studies could not provide full activation pattern maps due to poor MRI compatibility of the DBS electrodes, which caused obstruction of large brain areas on MRI scans. Here, we fabricate graphene fiber (GF) electrodes with high charge-injection-capacity and little-to-no MRI artifact at 9.4T. DBS-fMRI with GF electrodes at the subthalamic nucleus (STN) in Parkinsonian rats reveal robust blood-oxygenation-level-dependent responses along the basal ganglia-thalamocortical network in a frequency-dependent manner, with responses from some regions not previously detectable. This full map indicates that STN-DBS modulates both motor and non-motor pathways, possibly through orthodromic and antidromic signal propagation. With the capability for full, unbiased activation pattern mapping, DBS-fMRI using GF electrodes can provide important insights into DBS therapeutic mechanisms in various neurological disorders.

Indexed as

AnimalsDeep Brain StimulationElectrodesGraphiteMagnetic Resonance ImagingMaleRatsRats, Sprague-DawleySubthalamic NucleusGraphite

Identifiers

PMID32286290
PMCPMC7156737
OpenAlexW3016170712

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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.