Mari Fouz
Illustrator
From this contributor
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.
To improve big data, we need small-scale human imaging studies
By insisting that every brain-behavior association study include hundreds or even thousands of participants, we risk stifling innovation. Smaller studies are essential to test new scanning paradigms.
![Illustration of a hand reaching out to adjust a dial that sits in the middle of several images depicting brain activity and various behaviors.](https://www.thetransmitter.org/wp-content/uploads/2024/04/1200-transmitter-neuroscience-small-scale-imaging-studies-1024x683.webp)
To improve big data, we need small-scale human imaging studies
Breaking down the winner’s curse: Lessons from brain-wide association studies
We found an issue with a specific type of brain imaging study and tried to share it with the field. Then the backlash began.
![Illustration of a brain made up of many smaller brains.](https://www.thetransmitter.org/wp-content/uploads/2024/03/BWAS-fMRI-1200-1024x692.webp)
Breaking down the winner’s curse: Lessons from brain-wide association studies
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New connectomes fly beyond the brain
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![](https://www.thetransmitter.org/wp-content/uploads/2024/07/paincircuit-1200-1024x692.webp)
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