Articles tagged with Neuroimaging
Researchers found that faulty mtDNA replication causes mitochondria to leak genetic material, triggering an immune response and leading to disease. By targeting this process, doctors may develop therapies to prevent harmful inflammation.
Researchers decode underlying mechanisms of DCM, hippocampal neurotoxicity, and dysbiosis mediated AD progression using mass spectrometry imaging. The studies found metabolic changes in DCM rat hearts and regulation of CYPs in the hippocampus, providing new perspectives on treatment strategies.
Scientists have discovered that the bat brainstem processes echolocation and communication calls differently, with a stronger response to less frequent calls due to better neural synchronization. The findings may also be relevant to medical applications in humans, such as understanding diseases like ADHD or schizophrenia.
A team of researchers used deep brain stimulation to localize disrupted neural pathways in patients with Parkinson's disease, dystonia, OCD, and Tourette's syndrome. The study identified specific brain circuits associated with each disorder, revealing overlapping malfunctions that suggest a complex network of brain dysfunctions.
A new method for phase-modulated stimulated Raman scattering tomography enables rapid, label-free 3D chemical imaging of live cells and tissues. This technique improves lateral resolution and imaging depth compared to conventional methods.
Researchers developed a toolkit to translate neuroimaging data into audiovisual representations, enabling scientists to explore brain activity patterns in real time. The tool uses piano sounds for neural activity and violin sounds for blood flow, allowing viewers to discern coupled relationships between the two.
Researchers developed a high-speed modulation system combining digital display with super-resolution imaging, significantly improving lateral and axial resolution. This enables detailed study of subcellular structures in animal cells and plant ultrastructures, paving the way for future biological discoveries.
Researchers at Mount Sinai Health System developed a novel protocol for rapid diagnosis of eye stroke, improving outcomes and preserving vision. The protocol uses high-resolution retinal imaging in emergency rooms, along with remote consultation, to confirm diagnosis and expedite care.
The study reveals that the superior colliculus is vital in the transition from seeing individual flashes to smooth motion, and may be a key component in creating the continuity illusion. Different methods of measuring the Flicker Fusion Frequency threshold suggest other parts of the brain also play a role in this process.
Researchers at ETH Zurich have developed a new magnetic resonance imaging (MRI) procedure that maps the condition of myelin sheaths in the central nervous system more accurately. This breakthrough technology has the potential to facilitate early MS diagnosis and monitoring, as well as the development of new drugs for the disease.
Researchers developed an AI algorithm to analyze brain scans and clinical data, predicting treatment response with 8-week accuracy.
Researchers discuss recent advances in brain mapping, emphasizing the need to establish precise neuromodulation paradigms based on individual characteristics. Individualized brain mapping methods have evolved from manual labeling to staining techniques across multiple subjects.
A team of scientists from the Beckman Institute has received a $3 million grant to develop diagnostic tools and imaging agents for the early detection of Alzheimer's disease. They will use a combination of PET and MRI scans to target smaller beta-amyloid peptides and other signs of neuroinflammation and oxidative stress.
The Cognitive Neuroscience Society Conference in Toronto will explore the nature of thought and cognition. Registered press members will have access to scientific talks, posters, and receptions.
A new American Heart Association scientific statement emphasizes the need for increased awareness of cerebral venous thrombosis (CVT) to facilitate prompt medical treatment. The statement updates guidelines for diagnosing and managing CVT, focusing on advancements in treatment approaches.
Researchers have identified a network of lymphatic vessels at the back of the nose as a major hub for CSF outflow to deep cervical lymph nodes. This discovery has significant implications for understanding and treating conditions related to impaired CSF drainage, such as Alzheimer's disease.
Researchers developed a novel hybrid approach combining traditional mathematical methods and cutting-edge machine learning to improve EIT analysis of building structures. The new method, called AND, reduces errors in reconstructing foreign objects' position and size compared to conventional EIT methods.
Researchers developed a new imaging technique to visualize the tumor microenvironment of glioblastoma, revealing insights into its pathology. The technique uses PET imaging with Carbon-11 acetate, tracking reactive astrocytes and distinguishing them from tumor cells.
A new transparent brain implant has been developed to read deep neural activity from the surface, providing a step closer to building a minimally invasive brain-computer interface. The technology enables high-resolution data about deep neural activity by using recordings from the brain surface and correlating them with calcium spikes i...
MIT researchers have developed a new method to track cell differentiation and study long-term processes like cancer progression or embryonic development. They used noninvasive Raman spectroscopy to monitor embryonic stem cells as they differentiated into multiple cell types over several days.
Ashok Veeraraghavan, a Rice University professor, has won the Edith and Peter O'Donnell Award in Engineering from the Texas Academy of Medicine, Engineering, Science and Technology. His research focuses on making invisible objects visible through imaging technology that tackles challenges beyond current technologies.
A study from Duke University found that people with PTSD have a significantly smaller cerebellum, especially in areas related to emotion and memory. Researchers hope this discovery will lead to targeted treatments and more research on the brain region's role in PTSD.
A large brain imaging study discovered reduced grey matter volume across nearly all brain regions in individuals with Early Onset Psychosis, a critical period of brain development. The study provides unprecedented levels of detail about the illness and may assist in future diagnosis and track treatment effects.
A new framework has been established for standardized imaging of diffuse gliomas using amino acid PET, enabling the evaluation of treatment success and improving therapies. The RANO group has developed criteria that enable reliable imaging of tumor activity and extent.
A new study has identified a neural coding mechanism that allows for the transfer of information between perceptual and memory regions of the brain. This discovery challenges traditional understanding of brain organization and suggests that memory areas encode visual information in a 'photographic negative' format.
Researchers developed a novel phase imaging technique using intensity correlation measurements that is immune to phase instability. This method can capture high-resolution images of transparent and optically thin samples, such as cell cultures, with improved accuracy.
Zarbio and Georgia State University scientists propose a framework for understanding Alzheimer's disease, linking molecular mechanisms, beta-amyloid biomarkers, and diagnosis. The Amyloid Degradation Toxicity Hypothesis resolves long-standing paradoxes in AD research.
Researchers develop a versatile imaging system for targeted spectroscopy in the eye fundus, allowing for continuous color imaging and spectral measurements. The system enables users to select targets and move them to any location within the eye fundus region without realignment or fixation changes.
Researchers unveiled an atlas cataloging the location and type of every cell in the adult mouse brain, revealing a complex relationship between genetic identity and spatial position. The map, which charts over 5,300 cell types, provides a detailed 'parts list' for the brain and could pave the way for precision treatments for diseases.
Researchers developed a suite of free tools for analyzing vast amounts of brain dissection photographs, enabling the extraction and integration of quantitative information. The tools allow for the reconstruction of 3D brain images from biobank photos, providing valuable insights into neurodegenerative diseases.
Researchers at Linköping University used advanced diffusion MRI to examine the brains of patients with persisting symptoms after COVID-19 and found differences in white matter structure. This study provides new insights into the underlying mechanisms of post-COVID neurological problems.
Researchers at Northwestern University developed virtual reality goggles for mice, allowing them to study responses to overhead threats for the first time. The new system enabled more accurate and precise neural circuitry analysis by simulating natural environments, reducing training times compared to traditional VR systems.
A study found increased brain inflammation and structural changes in special operations personnel exposed to blasts, potentially increasing the risk of long-term brain-related disease. The research suggests that repetitive exposure to low-level blasts may cause brain injuries and highlights the need for better protective measures.
Research found a correlation between early negative life events, orbitofrontal cortex thinning, and later depressive symptoms in young adults. A higher burden of negative life events and accelerated thinning of the region were associated with increased depressive symptoms.
Researchers at Purdue University developed a novel AI engine to control and optimize optical microscopes, enabling 3D ultrastructure visualization of the brain circuitry with nanometer resolution. This technology has the potential to shed light on human development and disease, particularly autism and Alzheimer's disease.
Researchers used brain imaging and machine learning to identify distinct patterns of brain connectivity in people with autism spectrum disorder (ASD), taking into account individual differences. The study reveals that certain brain features are shared across subtypes, while others are unique to specific individuals.
A new decision rule has been developed to identify patients who can safely forgo a head CT scan after falling, reducing unnecessary imaging and costs. The Falls Decision Rule can be applied to all older adults who have fallen, regardless of sustaining a head injury or recalling the fall.
A new study found that pickier dogs exhibit distinct brain responses when rewarded with higher-quality food, which influences their motivation. The research used behavioral observations and neuroimaging techniques to investigate the relationship between food quality and dog behavior.
Researchers found high levels of a repair protein in the brains of former NFL athletes up to 12 years after they stopped playing, indicating persistent brain inflammation and long-term cognitive problems. The study suggests that repeated collision sports like football may have a direct link to long-term inflammation in the brain.
A study from the University of Ottawa found that sleep deprivation significantly impacts decision-making processes, reducing neural responses to winning and losing outcomes. This can lead to diminished positive emotions in response to winning and negative emotions when faced with losses.
Researchers used AI to analyze brain white matter tracts in adolescents with and without ADHD, discovering significant differences in nine brain tracts in individuals with ADHD. Early diagnosis and intervention are key to managing the condition.
Researchers at MIT have developed an alternative method to study molecular signals in cells, allowing them to track up to seven different molecules simultaneously. The technique uses fluorescent proteins that flicker on and off at different rates, enabling the tracking of specific cellular functions over time.
A study found that Black patients undergo medical imaging for cognitive impairment years later than white and Hispanic patients, with significantly lower rates of MRI testing. This delay can lead to earlier stages of disease diagnosis and reduced treatment options.
A study using a novel MRI technique found that people with long COVID exhibit distinct brain changes compared to those who have fully recovered from COVID-19. The research suggests that these changes are associated with symptoms such as fatigue, cognitive impairment, and impaired sense of smell.
A novel AI system analyzing brain MRI scans can diagnose autism in children between 24 and 48 months with a 98.5% accuracy rate. This technology enables early detection of autism, potentially leading to improved independence, IQs, and therapeutic outcomes.
Researchers linked hearing loss to microstructural differences in auditory areas of the temporal lobe and frontal cortex. The study suggests that compensatory brain changes may lead to increased dementia risk, and interventions like subtitles or speech-to-text apps could protect against this.
Elea Abisamra's STEM writing program at Virginia Tech has been recognized by the journal Cell for its innovative approach to teaching science through storytelling. The program has already helped 95 kids publish books with over 150 tutors as editors, and plans to expand globally.
Tau protein forms nano-biomolecular condensates that dynamically cluster recycling synaptic vesicles, influencing synaptic function. This study highlights the importance of protein mapping in understanding neural transmission and synaptic plasticity.
Researchers developed a deep convolutional neural network to pinpoint cardiac catheter tip locations in photoacoustic images, achieving high precision and recall. The approach has the potential to replace fluoroscopy during cardiac interventions, leading to safer procedures.
A recent study published in the Proceedings of the National Academy of Sciences found that AI's deep convolutional neural networks can identify faces but struggle to capture other important information like emotional state and trustworthiness. Brain activity scans revealed a weak correlation between AI's codes and human brain represent...
Two new studies by experts at Georgia State University's TReNDS Center highlight the potential of brain imaging to identify biomarkers for cognitive developments and psychiatric issues in adolescent brains. The research team analyzed functional network connectivity across scans and found associations with various health measures, inclu...
The American Heart Association has selected five finalists in its 6th annual Health Tech Competition to present their innovative technologies. The competition aims to drive technology innovation and transform the landscape of heart and brain health.
Researchers at HHMI's Janelia Research Campus have discovered that rats can think about places and objects not in front of them, generating specific neural activity patterns in the hippocampus. This ability is fundamental to remembering past events and imagining future scenarios, indicating that animals possess a form of imagination.
Researchers developed a new OCT approach to directly image coordination of tiny hair-like structures in live organisms, giving a powerful tool to investigate cilia's role in the female reproductive system. The technique revealed unexpected behaviors that contradict current views and suggested new roles for cilia.
Researchers have successfully tested an MRI-equipped ambulance, enabling faster diagnosis of stroke patients and streamlining care. The device can provide diagnostic-quality images without radiation exposure, improving treatment outcomes.
Researchers investigate centro-cingulate network changes and cholinergic innervation deficits in Parkinson disease and normal aging. Studies reveal significant correlations between centro-cingulate changes and cognitive impairments, motor symptoms, and age.
A meta-analysis of 83 studies found that prior adversity exposure alters adult brain reactivity and increases susceptibility to mental health problems. This study may help identify how adversity impairs coping mechanisms and produces enduring mental health issues.
Researchers describe traveling waves of acetylcholine in the striatum, revealing a new kind of neurochemical wave. The study proposes a mathematical mechanism by which simultaneous waves of acetylcholine and dopamine arise, maintaining balance in the brain's striatum.
A new method called TWC-Swin effectively restores holographic images even under low spatial coherence and arbitrary turbulence, surpassing traditional convolutional network-based methods. The study demonstrates strong generalization capabilities, extending its application to unseen scenes.
A new method using deep learning can provide as much information from brain images taken with CT as images captured with MRI, enhancing diagnostic support for conditions like dementia and other brain disorders. The software has been trained on 1,117 people and shows promise in diagnosing normal pressure hydrocephalus.