Articles tagged with Neuroimaging
A new theory suggests that stuttering is caused by anomalies in the brain's initiation circuit, which chooses a word to speak. This circuit is separate from the muscle-coordinating circuit, and its impairment leads to stuttering. Researchers believe this could lead to targeted treatments for stuttering with fewer side effects.
Researchers at Göttingen University have developed a new X-ray imaging method to detect changes in neuronal cell nuclei, indicating altered activity of neurons. This technique enabled the identification of changes in neurons in Alzheimer's disease.
The human brain contains trillions of contact points, requiring massive computational resources. Researchers outline the need for exascale computing power to tackle brain complexity.
A new confocal platform using artificial intelligence and multiple lenses improves volumetric resolution by over 10-fold while reducing phototoxicity. The platform uses Deep Learning algorithms to distinguish between high-quality images with low signal-to-noise ratio and better images.
A new 'image analysis pipeline' called TDAExplore gives scientists rapid insight into how cells are changed by disease, using a combination of microscopy, topology, and artificial intelligence. This approach can provide objective information on cell changes, such as the movement of proteins like actin, even with limited training data.
A recent study reveals that child maltreatment is associated with altered oxytocin gene methylation, leading to atypical brain structures and function. This finding suggests a potential biological mechanism for targeting during adolescence to improve the lives of victims of childhood abuse.
Researchers at the University of Trento discovered brain cells acting as a compass for navigating conceptual spaces, similar to those found in physical environments. These 'head-direction cells' signal direction even when movement occurs in abstract spaces, suggesting a complementary mechanism for conceptual navigation.
Convolutional neural networks trained to identify abnormalities on upper extremity radiographs are susceptible to a ubiquitous confounding image feature: radiograph labels. Covering these labels increases accuracy, while using them alone leads to decreased performance.
Researchers have used advanced microscopy to study the ultrastructure of huntingtin inclusions, revealing different mechanisms of aggregation that lead to distinct biochemical properties. The findings suggest targeting inclusion growth as a potential therapeutic strategy for slowing Huntington's disease progression.
Studies using virtual reality environments revealed that individuals with anxiety disorders exhibited increased brain activity in response to perceived threats, even in safe areas. The findings highlight the need for personalized treatments that help patients regain control over their body.
A new international study found that routine non-contrast computed tomography (CT) screening yielded similar outcomes to advanced imaging modalities like CT perfusion and MRI for eligible stroke patients. The data showed faster times to treatment for patients screened with less-costly, more accessible imaging technologies.
Researchers developed a method to image lithium in living cells, finding that neurons from bipolar disorder patients accumulate higher levels of lithium than healthy controls. This new tool could help optimize lithium dosage and improve treatment outcomes for patients with bipolar disorder.
A study of 5.9 million radiological examinations found no significant difference in major and minor discrepancy rates for acute community setting exams between concordant and discordant with radiologists' fellowship training. However, advanced examination discrepancies were higher when concordant with radiologists' fellowship training.
Longitudinal study reveals cortical thinning in people with bipolar disorder, especially those with more manic episodes. The findings suggest that bipolar disorder may be a neuroprogressive disorder, worsened by the progression of symptoms.
A recent study suggests that Long-COVID symptoms, such as cognitive deficits and fatigue, may be attributed to fatigue rather than pathological changes in the brain. Neuroimaging results showed no significant differences in cerebral glucose metabolism or brain pathology between patients with long-COVID and healthy controls.
A recent study used gene-targeting drugs to suppress areas of the brain and then imaged brain activity, revealing how this affects other complex operational networks. The research team found that silencing specific brain regions can cause stimulatory and inhibitory changes in brain activity, which can be identified using fMRI.
A pilot study examines graph-theoretical properties of brain networks in traumatic brain injury and controls, showing association with balance impairment and structural damage. The study uses EEG-based functional connectivity measures during a balance perturbation task to explore underlying neural mechanisms.
Researchers at GIST create an optical technique called optical speckle image velocimetry that can image dynamic changes in cerebral blood flow, allowing for the diagnosis of brain health. The technique provides high-time resolution and measures both speed and direction of blood flow.
A new MIT study suggests that pedestrians choose routes that point most directly toward their destination, even if those routes are longer. This strategy, known as vector-based navigation, may have evolved to allow the brain to devote more power to other tasks.
Researchers have discovered that each person has a unique brain fingerprint that can be identified in just over a minute using functional connectomics. The study's findings have significant implications for the diagnosis and treatment of neurological disorders such as Alzheimer's disease, autism, and stroke.
The Human Brain Project unveiled its 8th annual Summit with presentations of new scientific insights and technologies. The project has developed a powerful new infrastructure called EBRAINS, which will serve generations of brain scientists.
Researchers have identified that moment-to-moment brain signal variability can reliably predict the effectiveness of cognitive behavioural therapy for patients with social anxiety disorder. This finding suggests that neural variability may be a reliable indicator of individual differences in treatment response, particularly when using ...
New research reveals that microglia in the brain take up more glucose than previously thought, leading to altered PET scan images. This finding has significant implications for understanding neurodegenerative diseases and developing new diagnostic tools.
A novel neuroimaging technique using bacterial enzymes and inhibitors enables better live visualization of brain circuitry. The technique facilitates in vivo imaging without disrupting the blood-brain barrier, allowing for the detection of undetectable tau protein assemblies in neurodegenerative diseases.
Researchers have proposed a wearable, flexible scanner to enable patients to move naturally during brain scans. The technology uses photoacoustic imaging to visualize the cerebral cortex without the need for sedation or confined spaces.
A team of researchers at Carnegie Mellon University has discovered how the brains of advanced physicists organize highly abstract scientific concepts. They found that physicists' brains group concepts into measureable versus immeasurable size, and that these patterns are organized separately in their brains. This study provides insight...
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.