Brain imaging
Recent articles
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.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
Explore more from The Transmitter
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.