Brain imaging
Recent articles
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Putting 50 years of neuroscience on the map
Navigate the rise and fall of research topics over five decades using our interactive map, which is based on a semantic analysis of nearly 350,000 abstracts in leading neuroscience journals.
Putting 50 years of neuroscience on the map
Navigate the rise and fall of research topics over five decades using our interactive map, which is based on a semantic analysis of nearly 350,000 abstracts in leading neuroscience journals.
What are the fastest-growing areas in neuroscience?
Respondents pointed to computational neuroscience, systems neuroscience, neuroimmunology and neuroimaging, among other subfields.
What are the fastest-growing areas in neuroscience?
Respondents pointed to computational neuroscience, systems neuroscience, neuroimmunology and neuroimaging, among other subfields.
What are the most transformative neuroscience tools and technologies developed in the past five years?
Artificial intelligence and deep-learning methods featured prominently in the survey responses, followed by genetic tools to control circuits, advanced neuroimaging, transcriptomics and various approaches to record brain activity and behavior.
What are the most transformative neuroscience tools and technologies developed in the past five years?
Artificial intelligence and deep-learning methods featured prominently in the survey responses, followed by genetic tools to control circuits, advanced neuroimaging, transcriptomics and various approaches to record brain activity and behavior.
Timing tweak turns trashed fMRI scans into treasure
Leveraging start-up “dummy scans,” which are typically discarded in imaging analyses, can shorten an experiment’s length and make data collection more efficient, a new study reveals.
Timing tweak turns trashed fMRI scans into treasure
Leveraging start-up “dummy scans,” which are typically discarded in imaging analyses, can shorten an experiment’s length and make data collection more efficient, a new study reveals.
Psychedelics muddy fMRI results: Q&A with Adam Bauer and Jonah Padawer-Curry
The drugs disrupt the link between vascular and neuronal activity, which complicates interpretations of fMRI data. Adopting a more holistic view of what constitutes brain activity may help, the researchers say.
Psychedelics muddy fMRI results: Q&A with Adam Bauer and Jonah Padawer-Curry
The drugs disrupt the link between vascular and neuronal activity, which complicates interpretations of fMRI data. Adopting a more holistic view of what constitutes brain activity may help, the researchers say.
Authors retract Science paper on controversial fMRI method
Several known but usually negligible MRI artifacts contribute to the neuronal activity signal picked up by the method, according to a preprint the authors posted earlier this month.
Authors retract Science paper on controversial fMRI method
Several known but usually negligible MRI artifacts contribute to the neuronal activity signal picked up by the method, according to a preprint the authors posted earlier this month.
International scientific collaboration is more necessary—yet more challenging—than ever
These partnerships accelerate neuroscience by enabling researchers to share resources and expertise, as well as generate more relevant and reproducible results. But new federal funding restrictions in the United States are putting such collaborations in jeopardy.
International scientific collaboration is more necessary—yet more challenging—than ever
These partnerships accelerate neuroscience by enabling researchers to share resources and expertise, as well as generate more relevant and reproducible results. But new federal funding restrictions in the United States are putting such collaborations in jeopardy.
Longer fMRI brain scans boost reliability—but only to a point
Around 30 minutes of imaging per person seems to be the “sweet spot” for linking functional connectivity differences to traits in an accurate and cost-effective way.
Longer fMRI brain scans boost reliability—but only to a point
Around 30 minutes of imaging per person seems to be the “sweet spot” for linking functional connectivity differences to traits in an accurate and cost-effective way.
Deleting data or stopping its collection will erase years of valuable brain research
An explosion in open-neuroscience datasets has created a new generation of researchers with expertise in data science. But new federal restrictions in the United States put their research programs in jeopardy.
Deleting data or stopping its collection will erase years of valuable brain research
An explosion in open-neuroscience datasets has created a new generation of researchers with expertise in data science. But new federal restrictions in the United States put their research programs in jeopardy.
Explore more from The Transmitter
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.