Brain imaging
Recent articles
Neuroscientists challenge NIH’s proposed human-data access policy
The changes would restrict the sharing of human neuroimaging, transcriptomic and genetic data.
Neuroscientists challenge NIH’s proposed human-data access policy
The changes would restrict the sharing of human neuroimaging, transcriptomic and genetic data.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
How insights from network theory can boost interdisciplinary efforts
Communication on one interdisciplinary research team improved after the researchers turned an analysis technique used to study the brain on themselves and identified the roles people played in lab meetings.
How insights from network theory can boost interdisciplinary efforts
Communication on one interdisciplinary research team improved after the researchers turned an analysis technique used to study the brain on themselves and identified the roles people played in lab meetings.
NIH scraps policy that classified basic research in people as clinical trials
The policy aimed to increase the transparency of research in humans but created “a bureaucratic nightmare” for basic neuroscientists.
NIH scraps policy that classified basic research in people as clinical trials
The policy aimed to increase the transparency of research in humans but created “a bureaucratic nightmare” for basic neuroscientists.
A brief history of precision self-scanning
When a researcher solved a logistical problem by going rogue, the idea proved remarkably infectious.
A brief history of precision self-scanning
When a researcher solved a logistical problem by going rogue, the idea proved remarkably infectious.
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.
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.