Poster No:
1840
Submission Type:
Abstract Submission
Authors:
Henry Bockholt1, Brad Baker2, Sergey Plis3, Vince Calhoun4
Institutions:
1Georgia State University, Atlanta, GA, 2TReNDS Center, Georgia State University, Atlanta, GA, 3Georgia State University, Atlanta, TX, 4GSU/GATech/Emory, Atlanta, GA
First Author:
Co-Author(s):
Brad Baker
TReNDS Center, Georgia State University
Atlanta, GA
Introduction:
Global neuroinformatics research requires scalable, interoperable platforms that integrate advanced analytics, secure data sharing, and real-time collaboration. Headquarters 2.0 unifies tools such as COINS, COINSTAC, BrainForge V2, COINSTAC Vaults, BrainChop, GIFT, and FIT into a comprehensive ecosystem. Designed to support hybrid cloud/on-premise data organization, the system connects multiple research ecosystems across diverse projects while adhering to rigorous privacy standards.
Background
As neuroimaging research expands, challenges such as multi-jurisdictional data governance, dataset heterogeneity, and collaboration across distributed environments intensify. Headquarters 2.0 addresses these challenges through FAIR principles (Findable, Accessible, Interoperable, and Reusable), the BIDS framework, seamless CLI/API integrations, and browser-specific privacy tools for secure remote collaboration.
Methods:
Headquarters 2.0 integrates key components to overcome the challenges of multi-site neuroimaging studies:
BrainForge V2: A containerized workflow engine supporting BIDS-in, BIDS-out pipelines for preprocessing, advanced machine learning, and group-level analyses. JSON-based specifications ensure consistent and reproducible workflows.
COINSTAC: Enables privacy-preserving federated machine learning for secure multi-site collaboration.
COINSTAC Vaults: Distributed storage solutions provide secure data sharing and real-time API integration while ensuring compliance with GDPR,
HIPAA, and similar regulations.
BrainChop: A browser-based tool that uses AI for privacy-aware segmentation and quantitative neuroimaging analysis, offering local processing to preserve participant confidentiality.
Papaya-Based Visualization Tools: Facilitate interactive data exploration for anomaly detection and group-level analyses.
CLI/API Ecosystem: Connects the ecosystem components, supporting hybrid cloud and on-premise deployments for flexible operation.
GIFT and FIT: Provide ICA-based and functional connectivity analyses, enabling advanced group dynamics research.
Results:
Headquarters 2.0 has achieved key milestones in multi-site neuroimaging research:
Enhanced Data Management: COINS centralizes study management, harmonizing metadata and simplifying organization.
Improved Reproducibility: JSON-driven workflows standardize processes, with automated QC ensuring consistent outputs.
Privacy-Preserving Collaboration: BrainChop and COINSTAC enable secure analysis without data centralization, preserving participant confidentiality.
Scalable Analysis: Hybrid deployments support batch processing, real-time data updates, and federated workflows.
Advanced Visualization: Papaya and browser-based tools enhance interactive exploration of multi-modal data.
Community Integration: Compatibility with platforms like ReproNim, DataLad, and Neurobagel fosters interoperability and collaborative research.
Successfully piloted in CADASIL and Huntington's disease studies, Headquarters 2.0 streamlines multi-site collaboration and enhances analytical rigor.
Conclusions:
Headquarters 2.0 offers a transformative ecosystem for neuroimaging and multi-modal research, combining advanced tools with robust privacy-preserving capabilities. Its scalable, interoperable design addresses standardization, reproducibility, and collaboration challenges, enabling secure and efficient multi-site studies.
Future Directions
Development plans include:
Expanding BrainChop's AI-driven segmentation capabilities and web-based functionality.
Integrating Globus for secure data transfers and handling multi-modal datasets.
Enhancing user interfaces for streamlined interactions across the neuroimaging community.
Automating non-BIDS data mapping for greater standardization.
Extending federated learning and browser-based analysis tools for real-time global collaboration.
Modeling and Analysis Methods:
Classification and Predictive Modeling
Multivariate Approaches
Neuroinformatics and Data Sharing:
Databasing and Data Sharing 2
Workflows
Informatics Other 1
Keywords:
Computing
Data analysis
Data Organization
Informatics
Machine Learning
Open Data
Open-Source Code
Open-Source Software
Workflows
1|2Indicates the priority used for review
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Please indicate below if your study was a "resting state" or "task-activation” study.
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Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
Yes
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Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
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Please indicate which methods were used in your research:
PET
Functional MRI
EEG/ERP
MEG
Neurophysiology
Structural MRI
Optical Imaging
Diffusion MRI
Behavior
Neuropsychological testing
Computational modeling
For human MRI, what field strength scanner do you use?
3.0T
Which processing packages did you use for your study?
AFNI
SPM
FSL
Free Surfer
Provide references using APA citation style.
Scott, A., Courtney, W., Wood, D., de la Garza, R., Lane, S., King, M., Wang, R., Roberts, J., Turner, J. A., & Calhoun, V. D. (2011). COINS: An innovative informatics and neuroimaging tool suite built for large heterogeneous datasets. *Frontiers in Neuroinformatics*, 5, 33.
Landis, D., Courtney, W., Dieringer, C., Kelly, R., King, M., Miller, B., Wang, R., Wood, D., Turner, J. A., & Calhoun, V. D. (2016). COINS Data Exchange: An open platform for compiling, curating, and disseminating neuroimaging data. *Frontiers in Neuroinformatics*, 10, 34.
Martin, D., Basodi, S., Panta, S., Rootes-Murdy, K., Prae, P., Sarwate, A. D., Kelly, R., Romero, J., Baker, B. T., Gazula, H., Turner, J. A., Plis, S. M., & Calhoun, V. D. (2023). Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. *Frontiers in Neuroinformatics*, 17, 1207721.
Gazula, H., Verner, E., Panta, S., Sarwate, A. D., Turner, J. A., Plis, S. M., & Calhoun, V. D. (2020). COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. *Journal of Open Source Software*, 5(52), 2166.
Verner, E., Panta, S., Basodi, S., Baker, B. T., Franco, A. R., Bockholt, H. J., Romero, J., Turner, J. A., Calhoun, V. D., & Plis, S. M. (2023). BrainForge: An online data analysis platform for integrative neuroimaging research. *Neuroinformatics*.
Martin, D., Basodi, S., Panta, S., Rootes-Murdy, K., Prae, P., Sarwate, A. D., Kelly, R., Romero, J., Baker, B. T., Gazula, H., Turner, J. A., Plis, S. M., & Calhoun, V. D. (2023). Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. *Frontiers in Neuroinformatics*, 17, 1207721.
No