Articles tagged with Neuroimaging
New research reveals the brain's flexibility in multitasking while walking, improving stability and performance. The study uses a Mobile Brain/Body Imaging system to record brain activity while participants walk on a treadmill or perform cognitive tasks.
A team of Weill Cornell Medicine investigators created a comprehensive atlas, called Tau interactome, that maps all the Tau protein's interactions with other proteins in human neurons. They found that mutations diminish Tau-mitochondrial protein interaction may hamper energy production and lead to cognitive decline.
The new sensor grids offer 100 times higher resolution than existing technology, allowing for more precise identification of seizure origins and preservation of healthy brain tissue. Longer term, the technology holds potential for permanent implantation to improve life quality for people with paralysis or neurodegenerative diseases.
A new wearable headset, Kernel Flow, monitors brain activity using time-domain fNIRS. The system can record high-resolution brain signals from across the brain with performance similar to conventional systems.
A new MRI technique has been developed to detect changes in multiple sclerosis (MS) at an earlier stage. This technique, proton MR spectroscopy with a 7-tesla magnet, can visualize brain changes that appear normal on conventional MRI scans.
A new tissue expansion method, eMAP, has been developed to improve neural imaging. It allows for the imaging of proteins at neural connections, enabling the measurement of their relative distances and abundance. The technology facilitates high-throughput analysis and enables multiscale imaging of synapses along whole neuronal branches.
Researchers at Massachusetts General Hospital have developed a portable brain imaging procedure using functional near-infrared spectroscopy (fNIRS) to detect acute impairment from THC intoxication. The technique shows promise in distinguishing between impairment and mild intoxication, with accuracy confirmed by machine learning models.
A new study by researchers from Eötvös Loránd University found that dog brains can differentiate between two languages, with distinct activity patterns in primary and secondary auditory cortices. The study used brain imaging to compare dogs' responses to speech and non-speech stimuli in Spanish and Hungarian.
Researchers have discovered a new biomarker, microstate D, associated with increased sleep disturbance and inattention symptoms in adults with ADHD. The study, published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, provides evidence for a more precise diagnosis of the disorder.
Automated brain volumetry in memory-impaired patients shows significant differences and systematic biases between conventional and ultrafast 3D T1-weighted MRI sequences. Most regions demonstrated substantial agreement but also significantly different mean values and consistent biases.
A new study reveals that the superior colliculus, a lesser-studied region responsible for saccades and facial recognition, dynamically changes its clustering of neurons depending on the mouse's conscious state. This finding suggests that the brain optimizes visual information processing based on its awake or anesthetized state.
A new study found that white matter structural tracts are relatively stable throughout typical development, but show increased instability in children with psychosis spectrum symptoms. The integrity of these tracts was lower in children with psychosis and associated with cognitive function.
A pilot study of exercise and cognition in progressive multiple sclerosis found that cardiorespiratory fitness and free-living physical activity were not associated with improved cognitive performance. The study, which analyzed data from 240 individuals with progressive MS, suggests that other mechanisms may be at play.
Research using fNIRS found that young children's ability to appreciate humor varies with age and sex. The study suggests differences in brain activity between boys and girls, as well as developmental stages, when it comes to recognizing humor.
Researchers found improvements in verbal learning and memory and preservation of hippocampal volume in participants with relapsing-remitting multiple sclerosis after 12 weeks of supervised treadmill walking exercise. A targeted pilot randomized controlled trial demonstrated the effectiveness of this intervention for managing cognitive ...
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.
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.
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.
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.
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 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.
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.
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 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.
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.
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.