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Rollin IZ, Papoti D, Bishop M, Szczupak D, Corigliano MR, Hitchens TK, Zhang B, Pell SKA, Guretse SS, Dureux A, Murai T, Sukoff Rizzo SJ, Klassen LM, Zeman P, Gilbert KM, Menon RS, Lin MK, Everling S, Silva AC, Schaeffer DJ. An Open Access Resource for Marmoset Neuroscientific Apparatus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.12.623252. [PMID: 39605348 PMCID: PMC11601486 DOI: 10.1101/2024.11.12.623252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
The use of the common marmoset (Callithrix jacchus) for neuroscientific inquiry has grown precipitously over the past two decades. Despite windfalls of grant support from funding initiatives in North America, Europe, and Asia to model human brain diseases in the marmoset, marmoset-specific apparatus are of sparse availability from commercial vendors and thus are often developed and reside within individual laboratories. Through our collective research efforts, we have designed and vetted myriad designs for awake or anesthetized magnetic resonance imaging (MRI), positron emission tomography (PET), computed tomography (CT), as well as focused ultrasound (FUS), electrophysiology, optical imaging, surgery, and behavior in marmosets across the age-span. This resource makes these designs openly available, reducing the burden of de novo development across the marmoset field. The computer-aided-design (CAD) files are publicly available through the Marmoset Brain Connectome (MBC) resource (https://www.marmosetbrainconnectome.org/apparatus/) and include dozens of downloadable CAD assemblies, software and online calculators for marmoset neuroscience. In addition, we make available a variety of vetted touchscreen and task-based fMRI code and stimuli. Here, we highlight the online interface and the development and validation of a few yet unpublished resources: Software to automatically extract the head morphology of a marmoset from a CT and produce a 3D printable helmet for awake neuroimaging, and the design and validation of 8-channel and 14-channel receive arrays for imaging deep structures during anatomical and functional MRI.
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Affiliation(s)
- Isabela Zimmermann Rollin
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
| | - Daniel Papoti
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Departamento de Física, Universidade Federal de São Carlos, São Carlos, Brazil
| | - Mitchell Bishop
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Diego Szczupak
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Michael R. Corigliano
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - T. Kevin Hitchens
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bei Zhang
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
| | - Sarah K. A. Pell
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Simeon S. Guretse
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Audrey Dureux
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Takeshi Murai
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Stacey J. Sukoff Rizzo
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - L. Martyn Klassen
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Peter Zeman
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Kyle M. Gilbert
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Ravi S. Menon
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Meng-Kuan Lin
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Stefan Everling
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Afonso C. Silva
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - David J. Schaeffer
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
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