Printing-assisted Integration of Thermal, Fluidic and Electrical Components in Implants for Focal Brain Cooling - Publication Data

Documentation of the data
datacite.description.TechnicalInfo

Specific documentation of data provided via READMEs packed with individual datasets.

References to related material
datacite.relatedItem.IsPublishedIn

Printing-assisted Integration of Thermal, Fluidic and Electrical Components in Implants for Focal Brain Cooling

Description of the data
datacite.resourceType

Specific description of data provided via READMEs packed with individual datasets.

Type of the data
datacite.resourceTypeGeneral

Collection

Total size of the dataset
datacite.size

47392600196

Author
dc.contributor.author

Moore, Spencer Ryan

Author
dc.contributor.author

King, Naomi

Author
dc.contributor.author

Da Silva, Arua Clayton

Author
dc.contributor.author

Howarth, Clare

Author
dc.contributor.author

Berwick, Jason

Author
dc.contributor.author

Paterson, Thomas E.

Author
dc.contributor.author

Minev, Ivan R.

Upload date
dc.date.accessioned

2026-09-23T12:22:28Z

Publication date
dc.date.available

2026-09-23T12:22:28Z

Data of data creation
dc.date.created

2026-08-20

Publication date
dc.date.issued

2026-09-23

Abstract of the dataset
dc.description.abstract

Complete dataset for the publication "Printing-assisted Integration of Thermal, Fluidic and Electrical Components in Implants for Focal Brain Cooling". Contained within is the raw In Vitro and In Vivo experimental data; neural signal processing scripts; and data visualisation code for each figure graph in the publication. Implant G-code for each version of the design can be used to print a replica system using the RegenHU 3D Discovery bioprinter or adapt the code to another printer system. Hardware schematics and firmware code is provide for the manufacture the Auxiliary Driver hardware to support implant operations.

Public reference to this page
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/2909

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-1560

Publisher
dc.publisher

Technische Universität Dresden

Licence
dc.rights

Attribution 4.0 Internationalen

URI of the licence text
dc.rights.uri

http://creativecommons.org/licenses/by/4.0/

Specification of the discipline(s)
dc.subject.classification

4::44::407::407-06

Title of the dataset
dc.title

Printing-assisted Integration of Thermal, Fluidic and Electrical Components in Implants for Focal Brain Cooling - Publication Data

Research instruments
opara.descriptionInstrument

3D Discovery r5, RegenHU

Research instruments
opara.descriptionInstrument

PARSTAT3000, AMETEK

Research instruments
opara.descriptionInstrument

ARM-310CE, Thinky Corporation

Research instruments
opara.descriptionInstrument

U5855A v1.30 (Serial No. JP54461364), Keysight

Research instruments
opara.descriptionInstrument

D16-20mm-100-177, Neuronexus

Research instruments
opara.descriptionInstrument

i-STAT 1 Blood Gas Analyser w CG8 cartridges, Abbott

Research instruments
opara.descriptionInstrument

Stereotatic Frame, Kopf Instruments, California

Research instruments
opara.descriptionInstrument

Medusa Bioamp RA16PA, Tucker-Davis-Technologies

Research instruments
opara.descriptionInstrument

RZ5, Tucker-Davis-Technologies

Software
opara.descriptionSoftware.ResourceProcessing

MATLAB r2024b

Software
opara.descriptionSoftware.ResourceProduction

LabVIEW 2023

Software
opara.descriptionSoftware.ResourceProduction

Python 3.9

Software
opara.descriptionSoftware.ResourceProduction

Keil uVision v5.38a

Software
opara.descriptionSoftware.ResourceProduction

KiCAD 6.0.9

Software
opara.descriptionSoftware.ResourceProduction

BioCAD v1.1

Software
opara.descriptionSoftware.ResourceProduction

TrueIR Studio Analysis and Reporting Tool 2.0.60920.01

Software
opara.descriptionSoftware.ResourceProduction

VersaStudio 2.60.2

Software
opara.descriptionSoftware.ResourceProduction

COMSOL Multiphysics 5.5

Software
opara.descriptionSoftware.ResourceViewing

Inkscape 1.4.2

Software
opara.descriptionSoftware.ResourceViewing

Blender 5.0

Project abstract
opara.project.description

The limitations of electrical neuromodulation are driving the development of neuroprosthetic systems enhanced with complementary modalities. A key technological challenge however remains the integration of the necessary hardware components (optical, thermal, fluidic, electrical) into miniaturized implants. Here we present a design framework, inspired by fast prototyping, that promises to reduce the complexity, fabrication time, and device bulk of multimodal neural interface systems. By combining extrusion-based 3D printing of silicones and discrete electronic components, we integrated thermal neuromodulation and electrical recording capabilities in soft packages suitable for placement on the cortical surface of rodents. When linked to an autonomous auxiliary driver unit, these packages establish rapid, stable and localized hypothermia together with ElectroCorticoGraphy (ECoG) recording. In a rodent model of epilepsy (4-aminopyridine), we demonstrate hypothermia-induced suppression of seizure-like activity. Our approach may advance the clinical translation of focal hypothermia as an alternative therapy for drug-resistant focal epilepsies.

Funding Acknowledgement
opara.project.fundingAcknowledgement

Funding received from the European Research Council (ERC) under the Horizon 2020 EU.1.1. - Excellent Science Programme - IntegraBrain (804005)

Public project website(s)
opara.project.publicReference

https://cordis.europa.eu/project/id/804005

Public project website(s)
opara.project.publicReference

https://www.europeandissemination.eu/integrabrain-project-dr-ivan-minev/4756

Project title
opara.project.title

Printing-assisted Integration of Thermal, Fluidic and Electrical Components in Implants for Focal Brain Cooling

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ZIP file containing the complete paper dataset. This includes; raw neurological recordings, process neurological data, data processing scripts, hardware schematics, firmware programmes, data collection & control GUI programmes, stimulation files, setup diagrams, and 3D models. A top level README file can be found upon entering the Folder that contains a folder structure tree to aid in dataset navigation. As you navigate through the folders, README files can be found relating to that specific section, data, or figure element. Code and scripts are commented thoroughly to aid in understanding its operation or data handling/format.

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