The future of fMRI
Recent articles
This series of essays explores new developments and challenges in human brain imaging.
To understand the brain as a network organ, we must image cortical layers
Human neuroscience research has largely overlooked this spatial scale—which bridges cells and brain areas. But new advances in functional MRI technology are changing that.
To understand the brain as a network organ, we must image cortical layers
Human neuroscience research has largely overlooked this spatial scale—which bridges cells and brain areas. But new advances in functional MRI technology are changing that.
To make a meaningful contribution to neuroscience, fMRI must break out of its silo
We need to develop research programs that link phenomena across levels, from genes and molecules to cells, circuits, networks and behavior.
To make a meaningful contribution to neuroscience, fMRI must break out of its silo
We need to develop research programs that link phenomena across levels, from genes and molecules to cells, circuits, networks and behavior.
New tools help make neuroimaging accessible to more researchers
A lack of programming experience can derail experimental aspirations. But custom software packages, web-based applications and video tutorials make functional MRI concepts easier to grasp.
New tools help make neuroimaging accessible to more researchers
A lack of programming experience can derail experimental aspirations. But custom software packages, web-based applications and video tutorials make functional MRI concepts easier to grasp.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.
To improve big data, we need small-scale human imaging studies
By insisting that every brain-behavior association study include hundreds or even thousands of participants, we risk stifling innovation. Smaller studies are essential to test new scanning paradigms.
To improve big data, we need small-scale human imaging studies
By insisting that every brain-behavior association study include hundreds or even thousands of participants, we risk stifling innovation. Smaller studies are essential to test new scanning paradigms.
To make fMRI more clinically useful, we need to really get BOLD
A better understanding of the blood oxygen level dependent, or BOLD, signal requires more support for multimodal imaging studies.
To make fMRI more clinically useful, we need to really get BOLD
A better understanding of the blood oxygen level dependent, or BOLD, signal requires more support for multimodal imaging studies.
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Noninvasive method lifts curtain on cerebrospinal-fluid dance in human brain
Cerebrospinal fluid shows brain-region-specific dynamics, a new high-resolution MRI approach reveals.
Noninvasive method lifts curtain on cerebrospinal-fluid dance in human brain
Cerebrospinal fluid shows brain-region-specific dynamics, a new high-resolution MRI approach reveals.
Aging as adaptation: Learning the brain’s recipe for resilience
Some age-related changes in the brain and in behavior are not solely the result of cognitive decline but rather part of a larger adaptive process.
Aging as adaptation: Learning the brain’s recipe for resilience
Some age-related changes in the brain and in behavior are not solely the result of cognitive decline but rather part of a larger adaptive process.
Going against the gut: Q&A with Kevin Mitchell on the autism-microbiome theory
A new review of 15 years of studies on the connection between the microbiome and autism reveals widespread statistical and conceptual errors.
Going against the gut: Q&A with Kevin Mitchell on the autism-microbiome theory
A new review of 15 years of studies on the connection between the microbiome and autism reveals widespread statistical and conceptual errors.