As the clinical and neuroscientific questions and datasets we regularly interact with become larger and more complex, there is a growing need for tools that can help us to gain useful insights into the underlying trends and patterns. This NIMH-led workshop focused on one such class of tools: dynamic data visualizations. Speakers discussed and provided hands-on experience with cutting-edge approaches to using dynamic visualizations to gain insights into data.

Organizers

• Michele Ferrante (NIMH)
• Janice Chen (Johns Hopkins University)
• Emily Finn (Dartmouth College)
• Jeremy Manning (Dartmouth College)
• Manish Saggar (Stanford University)

Resources

A YouTube playlist containing all talks and tutorials may be found here.

Talk recordings

• Michele Ferrante (NIMH): Dynamic and interactive visualizations for dense neuro-behavioral data
• Josh Gordon (NIMH): NIMH perspective on dynamic data visualization
• Janice Chen (Hopkins): Brain dynamics during movies and other naturally-occuring experiences
• Manish Saggar (Stanford): Visualizing evoked and resting brain activity dynamics
• Emily Finn (Dartmouth): Individual differences in the appraisal of social information
• Jeremy Manning (Dartmouth): Visualizing the dynamics of complex thought
• Tim Behrens (Oxford, UCL): Innovation and data visualization at eLife
• Aaron Alexander-Bloch (CHoP): Lifespan growth charts for structural brain MRI
• Katy Borner (IU): Registering, visualizing, and exploring biomedical data
• Lindsey Zimmerman (Stanford): Modeling to learn
• Lucina Uddin (UCLA, Miami): Data visualization for network neuroscience

Tutorials

• Chris Baldassano (Columbia) and Jamal Williams (Princeton): Using a Hidden Markov Model (HMM) to find temporal structure in continuous naturalistic data
  • [video] [code]
• Dora Hermes (Mayo Clinic) and Kai Miller (Mayo Clinic): Basis profile curve identification to understand the effects of electrical stimulation
  • [video] [code] [data]
• Mark Thornton (Dartmouth): Detecting and visualizing human body pose in naturalistic video
  • [video] [code]
• Ben Fulcher (Sydney): Visualizing and understanding complex neural time series
  • [slides] [code]
• Paula Sanz-Leon (QIMR Berghofer, Sydney): Neural flows
  • [video] [code]