10Kin1day: A Bottom-Up Neuroimaging Initiative

Area of Science:

• Neuroimaging
• Computational Neuroscience
• Brain Connectomics

Background:

• Existing Magnetic Resonance Imaging (MRI) connectivity datasets are numerous but often underutilized.
• Global collaboration is crucial for large-scale data analysis in neuroimaging.

Purpose of the Study:

• To establish a collaborative framework for analyzing a large cohort of MRI connectivity datasets.
• To foster data sharing and joint analysis within the neuroimaging community.
• To release a substantial collection of human brain MRI connectome maps.

Main Methods:

• Organized a 3-day pop-up workshop named 10Kin1day.
• Brought together international neuroimaging groups for collaborative data analysis.
• Collected and processed over 10,000 existing MRI connectivity datasets.

Main Results:

• Successfully convened global neuroimaging experts for a joint analysis workshop.
• Publicly released over 8,000 MRI-derived human brain connectome maps.
• Demonstrated the feasibility of large-scale, collaborative MRI data analysis.

Conclusions:

• The 10Kin1day initiative successfully facilitated large-scale, collaborative analysis of MRI data.
• The public release of connectome maps will significantly benefit future neuroscience research.
• Pop-up workshops are an effective model for accelerating scientific discovery in neuroimaging.