Richard Bethlehem is a postdoctoral fellow and research associate at the Autism Research Centre and Brain Mapping Unit at the University of Cambridge in the United Kingdom. He studies integrated neuroimaging and transcriptomics to gain better understanding of the biological underpinnings of typical and atypical neurodevelopment.
Richard Bethlehem
Research associate
University of Cambridge
From this contributor
Q&A with Richard Bethlehem: What goes into a Brainhack
Brainhack conferences offer talks and hands-on tutorials, and unite small groups of interdisciplinary researchers to work on open-source neuroscience projects.
Q&A with Richard Bethlehem: What goes into a Brainhack
How normative modeling can reframe autism’s heterogeneity
Normative modeling could capture variability among autistic people and allow for individualized assessments.
How normative modeling can reframe autism’s heterogeneity
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New projectome captures ‘complex beast’ of serotonin system in mice
The whole-brain map—the first of its kind in a vertebrate—identifies five distinct neuron groups.
New projectome captures ‘complex beast’ of serotonin system in mice
The whole-brain map—the first of its kind in a vertebrate—identifies five distinct neuron groups.
Silent, motion-resistant fMRI expands scans in behaving mice
The method, called SORDINO, captures brain images in animals while they move and interact.
Silent, motion-resistant fMRI expands scans in behaving mice
The method, called SORDINO, captures brain images in animals while they move and interact.
Autism-linked variants converge on two molecular patterns in mouse brains
Gene activity across 17 autism mouse models occurs in either of two opposing transcriptomic states, supporting the idea that diverse genetic changes may converge on a few recurring biological patterns.
Autism-linked variants converge on two molecular patterns in mouse brains
Gene activity across 17 autism mouse models occurs in either of two opposing transcriptomic states, supporting the idea that diverse genetic changes may converge on a few recurring biological patterns.