Rosa Hoekstra is reader in global perspectives on neurodevelopmental disorders at Kings College London in the United Kingdom.
Rosa Hoekstra
Lecturer
Kings College London
From this contributor
Remembering Zemi Yenus: An ambassador for autism in Africa
Zemi Yenus was the mother of a child with autism, founder of Ethiopia’s first school for autistic children and a tireless advocate for autism awareness and research in Africa.
Remembering Zemi Yenus: An ambassador for autism in Africa
How to address autism in Ethiopia and other low-income nations
Even short programs with a focus on mental health can train community health workers to help children with autism in Ethiopia and elsewhere.
How to address autism in Ethiopia and other low-income nations
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What a bird’s-eye view of half a million papers reveals about neuroscience
New research uses artificial-intellligence-driven bibliometrics to map the structural organization of neuroscience across 25 years. The field it reveals is at once thriving and theoretically adrift.
What a bird’s-eye view of half a million papers reveals about neuroscience
New research uses artificial-intellligence-driven bibliometrics to map the structural organization of neuroscience across 25 years. The field it reveals is at once thriving and theoretically adrift.
Newly identified barrier cells seal off choroid plexus from CSF, rest of brain
A long-overlooked layer of fibroblasts exists inside the choroid plexus of mice and humans, adding complexity to the area’s compartmentalization.
Newly identified barrier cells seal off choroid plexus from CSF, rest of brain
A long-overlooked layer of fibroblasts exists inside the choroid plexus of mice and humans, adding complexity to the area’s compartmentalization.
‘Digital sphinx’ raises questions about connectome models
The sphinx, with a worm’s brain and a fly’s body, illustrates the potential pitfalls of using deep-learning techniques to model biological processes.
‘Digital sphinx’ raises questions about connectome models
The sphinx, with a worm’s brain and a fly’s body, illustrates the potential pitfalls of using deep-learning techniques to model biological processes.