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
What is the future of organoid and assembloid regulation?
Four experts weigh in on how to establish ethical guardrails for research on the 3D neuron clusters as these models become ever more complex.
What is the future of organoid and assembloid regulation?
Four experts weigh in on how to establish ethical guardrails for research on the 3D neuron clusters as these models become ever more complex.
By
Claudia López Lloreda
10 December 2025 | 7 min read
Insights on suicidality and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 8 December.
Insights on suicidality and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 8 December.
By
Jill Adams
9 December 2025 | 2 min read
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.
By
Calli McMurray
8 December 2025 | 5 min read