Facilities and Services

Siemens Prisma fit 3.0 T MRI Scanner

Scanning Services: The centerpiece of the INC is a Siemens Prismafit 3 Tesla magnetic resonance imaging (MRI) system equipped with 20- and 32-channel head coils. INC researchers use different types of images to explore the brain, including

  • ÌýFunctional MRI (fMRI) to measure brain activity related to various behaviors;Ìý
  • Diffusion tensor imaging (DTI) is used to understand the connectivity and architecture within the brain.Ìý
  • Structural imaging to determine the locations and sizes of brain structures.Ìý

INC researchers investigate brain activity and structure in healthy and clinical populations across all ages, from infants to older adults.

For directions to our facility, please clickÌý.

Incternship Program:

The INCternship Program provides comprehensive data-collection support for research studies while cultivating a highly trained cohort of undergraduate researchers. Through a model of progressive responsibility and upward mobility, INCterns play an integral role in sustaining efficient, high-quality research operations.Ìý

Storage Infrastructure:

INC’s storage and computing resources rely on services from INC staff. We use infrastructure from CU 91ÃÛÌÒ¸ó’s 91ÃÛÌÒ¸ó Computing (RC). Raw scanner data are stored in a F-A-I-R compliant database stored on AWS S3 storage and redundantly backed up throughÌý imaging platform deployed at CU (). Additional data storage is provided upon request through the PetaLibrary, a National Science Foundation-subsidized service for the storage, archiving, and sharing of research data managed by RC. INC maintains 575 TB of active storage on the PetaLibrary for storingÌýthe raw and processed data. This storage pool can be expanded on demand via a request to RC without incurring any downtime.Ìý

Compute Infrastructure:

INC host a AWS cloud instance of theÌý imaging data management service, where F-A-I-R compliant data is curated and derivative data can be generated and tracked usingÌý’s Gear Analysis Integration. INC also maintains a close relationship with the 91ÃÛÌÒ¸ó 91ÃÛÌÒ¸ó Computing (CURC) for the support of both Data and Compute Infrastructure. Analyses and processing of the data are also still available on a high-performance compute (HPC) cluster managed by 91ÃÛÌÒ¸ó Computing (Blanca), which consists of 5 INC-owned compute nodes (in addition to adedicated login node). INC managed Blanca compute nodes are composed of 5 nodes each with 256GB of RAM, 2.6 GHz processor and28 cores per node. Software for data processing and analysis on Blanca includes: slurm workload manager, MatLab, R, Python, AFNI, FSL, SPM, CONN, fMRIPrep, HCP Pipeline, Caret, FreeSurfer, and many more containerized analysis pipelines.

Advanced Data, Analysis and Training (ADAaT) Services:Ìý

INC staff provide flexible, end-to-end scientific solutions to researchers at every stage of their study. Designed to complement INC’s imaging capabilities, ADAaT services help investigators more efficiently from research idea to publishable results by offering hands-on technical expertise, tailored training, and scalable analysis support. The service is intentionally adaptable, meeting researchers where they are and evolving with their scientific needs. Services include, but are not limited to: code development, analytic workflow design, and one-on-one or group training in neuroimaging methods, data management, and high-performance computing environments. ADAT support can range from troubleshooting specific analytic challenges to building fully reproducible study-specific pipelines that support current and future projects.

Beyond data analysis, ADAaT services support most aspects of the full research lifecycle. Investigators can engage INC staff for support in study planning, guidance on IRB considerations, MRI protocol development, experimental task design, and pilot testing. This integrated approach helps ensure studies are methodologically sound and technically feasible for high-quality data collection and analysis from the outset through study completion.Ìý

Interested in data and analysis services? Check out our list of most commonly supported analyses and documentation on our newest platform,Ìý!. Didn't find what you are looking for? Contact us!

  • Data Storage Services:ÌýMeasured in terabytes of managed storage on CU's PetaLibrary
  • :ÌýWhether a study is actively scanning or wanting to analyze retrospective data with INC, researchers will have access to theÌý data management platform and all F-A-I-R compliant workflows listed on the associated table (link table here). If you are interested in any of our Scanning or Data storage / compute resources, please reach out to staff directly for an estimate for service costs.

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analysis services summary

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Writing a Grant Proposal?ÌýWe can help! Please check out our grant resources section for a sample language and NIH data management plan templates.Ìý

To request PetaLibrary and blanca-ics access, please follow the instructionsÌý.

Rates Fiscal Year 2026:

Invoices for INC services, including scanning services, NIH compliance, and analysis fees, are generated on aÌýmonthlyÌýbasis. Data storage costs are billedÌýquarterly, and allocation size is assessed at the end of each billing period.ÌýNote: the data storage rate is counted in total TBs used on PetaLibrary, not just new data added. Data added and deleted within the same billing period would not incur any cost.

Cite Us!

Using Intermountain Neuroimaging Consortium services in recent publications? Please cite us using INC's 91ÃÛÌÒ¸ó Resource Identifier (RRID): . This helps us track the impact our center makes on the research community!