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
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
By
Paul Middlebrooks
3 December 2025 | 1 min read
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
By
Nedah Nemati, Matthew Whiteway
3 December 2025 | 7 min read
‘Wired for Words: The Neural Architecture of Language,’ an excerpt
In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.
‘Wired for Words: The Neural Architecture of Language,’ an excerpt
In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.
By
Gregory Hickok
2 December 2025 | 8 min read