Articles tagged with Neuroimaging
Researchers at Hebrew University developed a novel approach to mapping brain white matter fiber architecture using Nissl staining. The technique, called Nissl-ST, reveals the hidden patterns and organization of glial cells in white matter, opening new avenues for studying brain development, aging, and neurodegenerative diseases.
Researchers from Cold Spring Harbor Laboratory have published a comprehensive census of cell types in the primary motor cortex of human, mouse, and monkey brains. This milestone could lead to breakthroughs in studying and treating conditions like schizophrenia, depression, Alzheimer's, and traumatic brain injuries.
The researchers will develop techniques to analyze the joint growth of the brain and cranium using MRI scans, helping clinicians better assess and diagnose developmental disorders. The project has the potential to provide invaluable insights into healthy child development, enabling early detection and effective treatment.
Researchers found that early accumulation of tau proteins in the brain, measured by PET scanner, is more effective at predicting memory impairment than other biomarkers. The study suggests that tau PET should be recommended for clinical prognostic assessment of cognitive decline in Alzheimer's patients.
Researchers used fractal analysis to study brain network patterns while listening to a story. The results show that complex thoughts are reflected in high-order dynamic correlations in neural activity patterns.
Researchers discovered zebrafish neurons that monitor prediction errors to efficiently avoid danger, creating a 'hazard map' in the brain. This study sheds light on brain circuits shared across vertebrates, including humans.
A study published in BMJ Open found a significant link between asymmetric brain arteries and the likelihood of developing a cerebral aneurysm. The research suggests that MRI and CT angiograms can be used to screen people with asymmetrical brain arteries for cerebral aneurysms, providing a new tool for monitoring those at risk.
Researchers at WVU aim to characterize autism patients' behaviors using behavior-tracking technology. They plan to use artificial intelligence to identify traits associated with ASD, which could lead to more accurate diagnoses and personalized interventions. The study also has the potential to improve early detection in young children.
A UMass Lowell researcher has received a $2.7 million grant to develop models that predict how Alzheimer's disease advances. The study will use machine learning and artificial intelligence tools to analyze patient imaging data and make personalized predictions of future tau buildup.
Brain activity during wakefulness presents large integrated and dynamic network modules, which tend to vanish or fragment during sleep or under general anesthesia. The researchers built artificial time-evolving networks to test and benchmark algorithms for detecting these structures.
A new algorithm uses amyloid PET scans to gauge brain levels of Alzheimer's protein and estimate when symptoms will arise. By analyzing age and single scan data, the algorithm yields an estimate of how far a person has progressed toward dementia.
Patients with bipolar disorder experiencing manic episodes show abnormal brain changes, including faster cortical thinning, compared to those without episodes. The study also found associations between brain ventricle enlargement and accelerated cognitive decline in bipolar patients.
Researchers have developed a new microscopy technique, light beads microscopy, that captures detailed images of activity from one million neurons across the mouse brain at high speed and single-cell resolution. This innovation allows scientists to investigate biological questions in a way that was not possible before.
A large study found that education and income have varying relationships with brain volume and cognitive scores across different populations. The associations were strongest in childhood development, suggesting socioeconomic status may not specifically protect the brain from aging effects.
The National Institute on Aging has expanded its network of cutting-edge Alzheimer's disease and related dementias centers, with two new centers in North Carolina and Texas. The Duke/University of North Carolina ADRC will focus on understanding age-related changes across the lifespan and identifying disparities in dementia among differ...
A recent study at Drexel University found that virtual reality art therapy can reduce prefrontal cortex activation, promoting relaxation and flow. The study also showed differences in brain function between creative self-expression and rote tracing tasks.
Researchers at University of Toronto found that the brain's prefrontal cortex generalizes perceptual experiences from different senses, producing sensations even without direct experience. The study used functional magnetic resonance imaging and massage stones to capture neural activity patterns in the brain.
Researchers at The Hebrew University of Jerusalem have developed a new deep learning artificial infrastructure inspired by individual neurons. Their approach uses complex mathematical modeling to replicate the brain's electrical processes and create more intelligent AI systems.
A team of neuroscientists at the Beckman Institute developed safety standards for multiband EEG-fMRI imaging, reducing heating risks and maintaining data quality. By establishing protocols to mitigate artifacts, they enabled the use of accelerated fMRI sequences with EEG recordings.
Scientists have developed a powerful new imaging strategy capable of visualizing the fine, ultrastructural changes to dendritic spines during structural plasticity. They found that the postsynaptic density region underwent significant growth and reorganization on a rapid timescale.
Researchers have developed a dye-free method to visualize blood flow in the brain, allowing for detailed mapping of small capillaries and assessing blood flow rates. The technique has potential applications in understanding cardiovascular diseases, tumor growth, and targeted drug delivery.
Georgia State University researcher Vince Calhoun has received a $3.5 million grant to develop new methods for capturing dynamic connectivity in the brain and identifying biomarkers for early detection of Alzheimer's disease. The researchers aim to analyze real-time connectivity patterns to predict future cognitive decline.
A recent study found COVID-19 survivors exhibit abnormal patterns of brain connectivity associated with increased post-traumatic stress symptoms. The research team discovered three distinct states of functional connectivity in the brains of COVID-19 survivors, which are linked to symptom severity.
A new study suggests that existing drugs for multiple sclerosis may not be effective due to toxic blood leaks in the brain. Researchers have identified a promising alternative treatment option that could improve myelin repair, even in the presence of these harmful elements.
Researchers use super-resolution infrared imaging combined with X-ray fluorescence nano-imaging to study amyloid toxicity on a subcellular level. They found that the distribution of trace elements in neurons is related to molecular mechanisms of Alzheimer's disease, offering new insights into preventing neuronal damage.
A 17-year study found that children who experienced poverty in preschool had smaller volumes of certain subcortical brain regions, including the hippocampus and thalamus. The researchers also found that these children showed slower growth in these regions over time, leading to poorer cognitive and behavioral outcomes in adulthood.
Researchers found that epilepsy surgery is associated with improved overall brain health, reducing brain-predicted age by at least seven years in patients with refractory temporal lobe epilepsy. The study used advanced MRI techniques to inform its findings and suggests earlier surgery may benefit these patients.
Researchers manipulated dopamine receptors to understand benefit- and cost-based motivation, revealing complementary roles for D1R and D2R. The study sheds light on the neurobiological mechanism of decision-making and has implications for psychiatric disorders.
Researchers at Rice University have developed a model of how internal states and external stimuli shape the behavior of hydra, a tiny, jellyfish-like creature. By studying their neural networks, scientists can gain insights into fundamental principles that may apply to more complex animals.
Researchers from NYUAD and University of Wisconsin-Madison develop interactive 3D diagrams to teach functional neuroanatomy. The study shows that VR exceeded PC viewing for experience-based learning outcomes, making it an enjoyable and easier learning tool.
A new study found that people with chronic pain have lower levels of GABA, a neurotransmitter that helps regulate emotions, leading to increased negative emotions and impaired emotional regulation. The researchers hope their online emotional recovery program may provide a non-pharmaceutical solution for those affected.
Scientists developed a label-free optical microscopy approach that can image deep brain cells with high resolution and minimal invasiveness. They used the 1700 nm water absorption window to visualize neuronal cell architecture across the entire depth of the mouse neocortex, revealing severe pathology in deep but not superficial cortex.
Researchers developed a new approach that integrates brain lesion datasets with data on deep brain stimulation and transcranial magnetic stimulation to identify promising therapeutic targets. This method may help clarify the cause of neuropsychiatric conditions and relieve symptoms.
Scientists have imaged an entire mouse brain at the microscopic to macroscopic level using a new micro-CT approach. This technique bridges the resolution gap between MRI and electron microscopy, enabling the connection of biomarkers across multiple scales and improving image resolution.
Researchers found that undamaged neurons do not change their function after a stroke, contradicting the 're-mapping' hypothesis. Surround-responsive cells, which react to neighboring whiskers, also failed to take over damaged neurons' functions.
Researchers linked repeated head impacts in youth football with changes in brain imaging, highlighting the need for reduced head impact drills during practice. The study used diffusion tensor imaging and biomechanical data from helmet-mounted sensors to examine the effects of head impacts on young athletes.
Researchers analyzed brain scans of 193 COVID-19 patients, finding a link between brain imaging and the virus's presence in cerebrospinal fluid. The study suggests hyperintense lesions and leptomeningeal enhancement are indicative of inflammation rather than infection.
Researchers used structural brain imaging to detect developmental effects of linguistic and cognitive stimulation on infant brains. They found that high-quality educational experiences in early childhood were associated with increased brain size, particularly in males.
A new imaging technique, 3D amplified MRI (aMRI), visualizes the brain's movement in real-time and in stunning detail. This method holds diagnostic potential for detecting obstructive brain disorders and aneurysms, which could lead to better treatment strategies.
A large study of 11,679 nine- and ten-year-old children found potentially life-threatening brain abnormalities in 1 in 500 children and minor abnormalities in 1 out of 25. The study aims to save lives by reviewing MRI scans for incidental findings.
Researchers developed a new analysis system to study brain function and diseases using 3D artificial brain models. The system allows for precise non-destructive stimuli and real-time measurement of neural signals, providing insights into functional connections between brain cells.
A study of 38 children found that neurological complications of COVID-19 often resemble immune-mediated patterns of disease involving the brain, spine, and nerves. Most cases had mild or no symptoms, but some developed severe conditions such as myelitis and quadriplegia.
Scientists have created detailed maps of brain blood vessel clusters, revealing that small blood vessels compensate for varying energy requirements. The study provides novel insights into the distribution of oxygen and sugar to different brain regions, shedding light on how brains are kept nourished.
A UK-based study using diffusion weighted imaging and machine learning successfully classified common types of pediatric brain tumors, enabling faster and more accurate diagnosis. This non-invasive method has the potential to treat childhood brain tumors more efficiently with favorable outcomes.
Researchers used a novel imaging technique to study motor deficits in ALS, revealing asymmetrical movement patterns and limited capacity. The technique, called DECALF, captured three-dimensional motion of zebrafish in real-time.
Researchers at Boston University School of Medicine are developing a novel brain imaging technique to detect chronic traumatic encephalopathy (CTE) in living patients. A two-year study involving former NFL players and controls aims to identify the tau protein associated with CTE using a second-generation tau PET tracer.
Researchers analyzed MRI data from 1203 HIV-positive individuals across 5 continents, finding smaller brain volumes associated with lower white blood cell counts. The study highlights the importance of understanding how HIV infection affects the brain, particularly in the context of aging and treatment.
Research estimates that one in three women experience intimate partner violence and up to 90% suffer head trauma. However, data is scarce on the cognitive and psychological effects of this trauma. A new international effort aims to understand the ramifications of injuries and develop personalized treatment strategies.
Researchers from Osaka University developed a new method for analyzing brain tissue with mass spectrometry imaging, enabling the identification of biochemicals at high spatial resolution. This technique may help diagnose brain diseases such as cancer by providing molecular information in high-resolution images.
Scientists at Durham University have discovered a new type of brain cell called Vector Trace cells, which can store maps of places we've been and track the distance between objects. This discovery could lead to earlier diagnosis and treatment of Alzheimer's disease.
Drs. Kelil and Jaimes will investigate personalized breast cancer risk assessment and fetal diffusion tensor imaging to improve conventional risk prediction models and characterize normal brain development in fetuses with congenital heart disease. Their studies aim to harness cutting-edge MRI processing tools to correct for fetal motion.
A novel form of an Alzheimer's protein found in spinal fluid indicates what stage of the disease a person is in and tracks with tangles of tau protein in the brain, which are toxic to neurons. The discovery could lead to better diagnostics and accelerate efforts to find treatments for Alzheimer's disease.
A prototype 16-channel head AIR coil from GE Healthcare has been shown to perform better than a conventional 8-channel head coil for in vivo whole-brain imaging, but not as well as a 32-channel coil. The coil's lightweight and flexible design exhibits improved electrical characteristics that could lead to future design improvements.
A Northwestern University study shows how advanced imaging technology can pinpoint the cause of nerve damage in COVID-19 patients. The imaging techniques include ultra-high-resolution ultrasound and MR neurography, which help localize where the problem is and assess the severity of nerve damage.
Dr. Olga Boukrina receives a $10,000 grant to study reading deficits in stroke survivors and develop personalized treatment for aphasia. Her ongoing research aims to identify markers that can help clinicians detect reading problems early in rehabilitative care.
Researchers at Massachusetts General Hospital have created a compact, low-power 'head only' MRI scanner for brain imaging. The device can be mounted in ambulances or clinics and emits less noise than traditional scanners.
Georgia State University researchers have developed a software tool called COINSTAC, which allows for local data analysis and sharing of results, protecting patient privacy and anonymity. The platform is designed to be compatible with deep learning models, enabling the training of analyses on decentralized databases.
A new brain imaging technology, BrainPhys, has been developed to support optimal neuronal function and viability in live imaging experiments. This breakthrough could lead to better personalised medicine for brain disorders such as Parkinson's, brain cancer, and childhood dementia.
Military personnel with extensive occupational blast exposure showed significant differences in brain imaging measures, including increased cortical thickness and neural inflammation. The study provides insight into the functional and structural neuroimaging alterations occurring in this population.
Research identifies commonalities in COVID-19 patients' brain activity, highlighting potential long-term effects on older males. Abnormal EEG readings suggest permanent brain damage, prompting the need for comprehensive care including brain imaging.