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Talking shop: The Transmitter’s top quotes of 2025
Find out what “may be one of the brain’s most underappreciated superpowers” and why it’s so crucial to “talk about our research in our everyday lives.”
Talking shop: The Transmitter’s top quotes of 2025
Find out what “may be one of the brain’s most underappreciated superpowers” and why it’s so crucial to “talk about our research in our everyday lives.”
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.
Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.
Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.
Sounding the alarm on pseudoreplication: Q&A with Constantinos Eleftheriou and Peter Kind
Most studies of neurological disorders in mice erroneously treat multiple samples from a single animal as independent replicates, according to a new analysis. But scientists and journals can take steps to curb this practice.
Sounding the alarm on pseudoreplication: Q&A with Constantinos Eleftheriou and Peter Kind
Most studies of neurological disorders in mice erroneously treat multiple samples from a single animal as independent replicates, according to a new analysis. But scientists and journals can take steps to curb this practice.
Say what? The Transmitter’s top quotes of 2024
“We’ve cured mouse-heimer’s thousands of times...”—find out who said this to a Transmitter reporter, and read our other favorite quotes from the past year.
Say what? The Transmitter’s top quotes of 2024
“We’ve cured mouse-heimer’s thousands of times...”—find out who said this to a Transmitter reporter, and read our other favorite quotes from the past year.
Nonsense correlations and how to avoid them
This statistical error is common in systems neuroscience. Fortunately, straightforward methods can help you prevent it.
Nonsense correlations and how to avoid them
This statistical error is common in systems neuroscience. Fortunately, straightforward methods can help you prevent it.
Explore more from The Transmitter
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.