fMRI
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Exclusive: Recruitment issues jeopardize ambitious plan for human brain atlas
A lack of six new brain donors may stop the project from meeting its goal to pair molecular and cellular data with the functional organization of the cortex.
Exclusive: Recruitment issues jeopardize ambitious plan for human brain atlas
A lack of six new brain donors may stop the project from meeting its goal to pair molecular and cellular data with the functional organization of the cortex.
During decision-making, brain shows multiple distinct subtypes of activity
Person-to-person variability in brain activity might represent meaningful differences in cognitive processes, rather than random noise.
During decision-making, brain shows multiple distinct subtypes of activity
Person-to-person variability in brain activity might represent meaningful differences in cognitive processes, rather than random noise.
Too much or too little brain synchrony may underlie autism subtypes
Functional connectivity differences in autism mouse models point to two subtypes that correspond to patterns seen in some people with the condition.
Too much or too little brain synchrony may underlie autism subtypes
Functional connectivity differences in autism mouse models point to two subtypes that correspond to patterns seen in some people with the condition.
Functional MRI can do more than you think
Recent technological advances provide a range of new and different information about brain physiology. But taking full advantage of these gains depends on collaboration between engineers and neuroscientists.
Functional MRI can do more than you think
Recent technological advances provide a range of new and different information about brain physiology. But taking full advantage of these gains depends on collaboration between engineers and neuroscientists.
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.
What infant fMRI is revealing about the developing mind
Cognitive neuroscientists have finally clocked how to perform task-based functional MRI experiments in awake babies—long known for their inability to lie still or take direction. Next, they aim to watch cognition take shape and settle a debate about our earliest memories—with one group publishing a big clue today.
What infant fMRI is revealing about the developing mind
Cognitive neuroscientists have finally clocked how to perform task-based functional MRI experiments in awake babies—long known for their inability to lie still or take direction. Next, they aim to watch cognition take shape and settle a debate about our earliest memories—with one group publishing a big clue today.
Thanks to new technologies, neuroscientists have more direct access to the human brain than ever before
Model systems continue to offer us tremendous insight, but it’s time for basic researchers to train their sights on the human brain. If I were starting my career today, I would focus on human neurobiology.
Thanks to new technologies, neuroscientists have more direct access to the human brain than ever before
Model systems continue to offer us tremendous insight, but it’s time for basic researchers to train their sights on the human brain. If I were starting my career today, I would focus on human neurobiology.
Cell ‘fingerprints’ identify distinct cortical networks
These networks align with different assemblages of cells, a finding that could reveal how cellular diversity influences brain function, according to a new study.
Cell ‘fingerprints’ identify distinct cortical networks
These networks align with different assemblages of cells, a finding that could reveal how cellular diversity influences brain function, according to a new study.
In case you missed it: Standout news stories from 2024
These five stories—on the pregnant brain, a failed imaging method and more—top our list of some of the most notable neuroscience research findings this year.
In case you missed it: Standout news stories from 2024
These five stories—on the pregnant brain, a failed imaging method and more—top our list of some of the most notable neuroscience research findings this year.
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.
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.