Nico Dosenbach is associate professor of neurology at Washington University School of Medicine. His research as a systems neuroscientist is focused on pushing resting-state functional connectivity MRI (RSFC), functional MRI (fMRI) and diffusion tensor imaging (DTI) to the level of individual patients. To create and annotate the connectomes of individuals he is working to improve the signal-to-noise, spatial resolution and replicability of RSFC, DTI and fMRI data.
Nico Dosenbach
Associate professor of neurology
Washington University School of Medicine
From this contributor
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.
Breaking down the winner’s curse: Lessons from brain-wide association studies
By
Nico Dosenbach, Scott Marek
25 March 2024 | 6 min read
Explore more from The Transmitter
Can AI do neuroscience without understanding?
Prediction without understanding sustained astronomy through a thousand years of epicycles. Artificial intelligence is now offering neuroscience the same deal.
Can AI do neuroscience without understanding?
Prediction without understanding sustained astronomy through a thousand years of epicycles. Artificial intelligence is now offering neuroscience the same deal.
By
Anthony Zador
27 April 2026 | 6 min read
What Trump’s psychedelics executive order means for basic neuroscience
The order provides a potential path to remove some psychedelic drugs from the strictest regulatory category, yet it “may not be the breakthrough the basic research community has been looking for,” says neuroscientist Shawn Lockery.
What Trump’s psychedelics executive order means for basic neuroscience
The order provides a potential path to remove some psychedelic drugs from the strictest regulatory category, yet it “may not be the breakthrough the basic research community has been looking for,” says neuroscientist Shawn Lockery.
By
Calli McMurray
24 April 2026 | 4 min read
Switching neural code may solve ongoing face-recognition debate
Face patch cells in macaque monkeys initially respond to images of any object but rapidly transition to attend to faces exclusively, a new study finds.
Switching neural code may solve ongoing face-recognition debate
Face patch cells in macaque monkeys initially respond to images of any object but rapidly transition to attend to faces exclusively, a new study finds.
By
Holly Barker
23 April 2026 | 5 min read