Evidence map›Paper›PMID 30705287›Full record

ArticleScientific reports2019

Craniobot: A computer numerical controlled robot for cranial microsurgeries.

Leila Ghanbari, Mathew L Rynes, Jia Hu, Daniel S Schulman, Gregory W Johnson, Michael Laroque, Gabriella M Shull, Suhasa B Kodandaramaiah

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 48 citations in OpenAlex.

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  4. A multimodal digital twin for autonomous micro-drilling in scientific exploration.International journal of computer assisted radiology and surgery · 2025
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  13. Longitudinal cortex-wide monitoring of cerebral hemodynamics and oxygen metabolism in awake mice using multi-parametric photoacoustic microscopy.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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  14. Review
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  17. Stereotactic Transcranial Focused Ultrasound Targeting System for Murine Brain Models.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
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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

8 authors at 1 institution in 1 country.

Leila GhanbariDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minnesota, USA.
Mathew L RynesDepartment of Biomedical Engineering, University of Minnesota, Twin Cities, Minnesota, USA.ORCID http://orcid.org/0000-0001-6999-6537
Jia HuDepartment of Biomedical Engineering, University of Minnesota, Twin Cities, Minnesota, USA.
Daniel S SchulmanDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minnesota, USA.
Gregory W JohnsonDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minnesota, USA.
Michael LaroqueDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minnesota, USA.
Gabriella M ShullDepartment of Biomedical Engineering, University of Minnesota, Twin Cities, Minnesota, USA.
Suhasa B KodandaramaiahDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minnesota, USA. suhasabk@umn.edu.
University of Minnesota · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Supplement: Robotic Platform for High-Densisty in Vivo Intracellular recordingR21NS103098 · NINDS · UNIVERSITY OF MINNESOTA · PI HARNETT, MARK THOMAS, KODANDARAMAIAH, SUHASA B · 2017 to 2018
$483k
NCATS NIH HHS UL1 TR000114NINDS NIH HHS R21 NS103098U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R21 NS103098-01U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R21 NS103098-01S1
6 · The paper itself

Abstract

Over the last few decades, a plethora of tools has been developed for neuroscientists to interface with the brain. Implementing these tools requires precisely removing sections of the skull to access the brain. These delicate cranial microsurgical procedures need to be performed on the sub-millimeter thick bone without damaging the underlying tissue and therefore, require significant training. Automating some of these procedures would not only enable more precise microsurgical operations, but also facilitate widespread use of advanced neurotechnologies. Here, we introduce the "Craniobot", a cranial microsurgery platform that combines automated skull surface profiling with a computer numerical controlled (CNC) milling machine to perform a variety of cranial microsurgical procedures on mice. The Craniobot utilizes a low-force contact sensor to profile the skull surface and uses this information to perform precise milling operations within minutes. We have used the Craniobot to perform intact skull thinning and open small to large craniotomies over the dorsal cortex.

Indexed as

Computer SimulationMicrosurgeryNumerical Analysis, Computer-AssistedRoboticsAnimalsAutomationMice, Inbred C57BLSkull

Identifiers

PMID30705287
PMCPMC6355931
OpenAlexW2911358444

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.