Linda Geddes is a Bristol-based freelance journalist writing about biology, medicine and technology. Born in Cambridge, she graduated from the University of Liverpool with a first-class degree in cell biology. She spent nine years as an editor and reporter for New Scientist magazine and has received numerous awards for her journalism, including winning the Association of British Science Writers’ award for best investigative journalism and being shortlisted for the Paul Foot Award. Her first book, Bumpology: The myth-busting pregnancy book for curious parents-to-be, was published in 2013.
Linda Geddes
From this contributor
How genetics is revealing rare childhood conditions
A pioneering project is showing how, 17 years since the first draft of the human genome, our genes are giving up their secrets and bringing hope to parents around the world.

How genetics is revealing rare childhood conditions
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Cross-species connectome comparison shows uneven olfactory circuit evolution in flies
The findings start to reveal evolutionary changes that may have helped two species develop different olfactory preferences and adapt to their particular environments.

Cross-species connectome comparison shows uneven olfactory circuit evolution in flies
The findings start to reveal evolutionary changes that may have helped two species develop different olfactory preferences and adapt to their particular environments.
Null and Noteworthy: Downstream brain areas read visual cortex signals en masse in mice
The finding contradicts a theory that the regions prioritize neurons that are adept at identifying specific stimuli. Plus, a response to a study that questioned immune memory in astrocytes.

Null and Noteworthy: Downstream brain areas read visual cortex signals en masse in mice
The finding contradicts a theory that the regions prioritize neurons that are adept at identifying specific stimuli. Plus, a response to a study that questioned immune memory in astrocytes.
Poor image quality introduces systematic bias into large neuroimaging datasets
Analyses that include low-quality MRI data underestimate cortical thickness and overestimate cortical surface area, according to new findings from the Adolescent Brain Cognitive Development (ABCD) Study.

Poor image quality introduces systematic bias into large neuroimaging datasets
Analyses that include low-quality MRI data underestimate cortical thickness and overestimate cortical surface area, according to new findings from the Adolescent Brain Cognitive Development (ABCD) Study.