fMRI
Recent articles
What ‘Brain Flows’ gets right
Michael W. Cole’s new book makes a convincing case that the dynamic movement of signals underpins just about everything the brain does, though it misses mention of relevant theoretical and single-cell work.
What ‘Brain Flows’ gets right
Michael W. Cole’s new book makes a convincing case that the dynamic movement of signals underpins just about everything the brain does, though it misses mention of relevant theoretical and single-cell work.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
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.
Sensory over-responsivity tied to autism, anxiety but not other conditions
Negative reactions to sensations track with certain neurodevelopmental traits in more than 15,000 children—pointing to shared neurobiological roots.
Sensory over-responsivity tied to autism, anxiety but not other conditions
Negative reactions to sensations track with certain neurodevelopmental traits in more than 15,000 children—pointing to shared neurobiological roots.
In memoriam: Kevin Dunbar, who traced the neural basis of human reasoning
Using imaging technologies, he transformed our understanding of how creativity and scientific discovery arise in the brain.
In memoriam: Kevin Dunbar, who traced the neural basis of human reasoning
Using imaging technologies, he transformed our understanding of how creativity and scientific discovery arise in the brain.
IQ’s link to brain structure, function in children may be a mirage
A child’s socioeconomic status, screen time and amount of sleep all show stronger associations with measures of brain structure and function, according to an imaging study of nearly 12,000 9- to 10-year-olds.
IQ’s link to brain structure, function in children may be a mirage
A child’s socioeconomic status, screen time and amount of sleep all show stronger associations with measures of brain structure and function, according to an imaging study of nearly 12,000 9- to 10-year-olds.
A new atlas of abstracts visualizes the field of human brain mapping—where does your work fit?
Satrajit Ghosh talks to Mac Shine about a community-built tool that places every abstract from the 2026 Organization for Human Brain Mapping meeting inside a semantic map of the broader neuroscience literature. Finding your neighbors in that space might matter more than you think.
A new atlas of abstracts visualizes the field of human brain mapping—where does your work fit?
Satrajit Ghosh talks to Mac Shine about a community-built tool that places every abstract from the 2026 Organization for Human Brain Mapping meeting inside a semantic map of the broader neuroscience literature. Finding your neighbors in that space might matter more than you think.
Arousal neurons’ activity explains brain’s blood flow dynamics in mice
The findings could influence how researchers interpret signals from techniques that use blood flow as a surrogate for neuronal activity.
Arousal neurons’ activity explains brain’s blood flow dynamics in mice
The findings could influence how researchers interpret signals from techniques that use blood flow as a surrogate for neuronal activity.
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.
Infant visual system categorizes common objects by 2 months of age
Brain activity patterns in the ventral visual cortex appear to distinguish images across 12 categories, including birds and trees, longitudinal functional MRI scans suggest.
Infant visual system categorizes common objects by 2 months of age
Brain activity patterns in the ventral visual cortex appear to distinguish images across 12 categories, including birds and trees, longitudinal functional MRI scans suggest.
Explore more from The Transmitter
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.