Articles tagged with Neuroimaging
A NUS-led global study reveals that 30-minute functional MRI scans deliver up to 22% in cost savings while retaining or improving prediction accuracy. This finding could reshape how researchers design neuroscience and mental health studies, especially for hard-to-recruit populations.
Researchers at Stanford University have developed new technology to image brain waves, revealing three new types of brain activity. The ultra-sensitive optical instruments can detect signals of genetically engineered proteins and show neural activity across the majority of the mouse neocortex.
Researchers found that adults with autism perceive visual body information similarly to neurotypical adults, challenging long-standing assumptions about social difficulties in ASD. The study used fMRI to compare brain activity patterns in adults with autism and typically developing adults while viewing images of body parts.
A recent study using machine learning and computational modeling reveals that astrocytes play a more active role in brain function than previously thought. Astrocytes subtly modulate communication between neurons during synchronous brain activity, influencing network coordination and stability.
Research from Kyoto University found that continuing to play a musical instrument into old age preserves brain function and prevents atrophy in the putamen. Long-term practice showed no decline in verbal working memory performance or gray matter volume, while short-term practice improved memory function for four months.
A new study published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging found that individuals with remitted depression show increased habenula activity and reduced connectivity between the habenula and dopamine-producing regions, suggesting a heightened sensitivity to negative cues. This suggests that even after recove...
A new study explores the connection between grip strength and psychosis, finding that impaired grip strength and well-being share common patterns of brain connectivity. The research provides a unifying brain circuit explanation for psychosis and identifies potential brain targets for new treatments.
Researchers suggest that brains reach a critical state to learn, remember, and think, which can be measured using fMRI technology. This framework offers a new perspective on neurological diseases like Alzheimer's, which disrupt the brain's ability to maintain criticality.
The Cirrus Resting State fMRI Software uses AI technology to rapidly map the brain and identify sensitive areas controlling critical functions. The technology, developed at WashU Medicine, enables more precise neurosurgeries with improved accuracy and accessibility for patients.
Researchers at the University of Missouri have developed a new imaging probe that can help surgeons accurately identify and remove aggressive brain tumors during operations. The tool, known as FA-ICG, uses near-infrared light to highlight tumor cells from within.
Researchers discovered that exploring environments can encode visual features, speeding up learning when tasks arise. The study found that unsupervised learning occurs even without specific goals or tasks.
A novel study in Biological Psychiatry highlights the layered and complex interactions between clinical symptoms and neurobiological sources of variation in depression. The research found that multiple brain profiles may manifest as the same clinical symptoms, supporting the presence of both one-to-one and many-to-one heterogeneity.
Bioengineering researchers at Harvard John A. Paulson School of Engineering and Applied Sciences developed a soft, thin, stretchable bioelectronic device that can be implanted into a tadpole embryo's neural plate, recording electrical activity from single brain cells with millisecond precision.
A study of 34 children found significant differences in basal ganglia volume between those exposed to prenatal Superstorm Sandy and those not exposed. The findings suggest that extreme heat may have amplified the risk of having a differently-sized basal ganglia.
Researchers found that passionate fans show more activity in the dorsal medial prefrontal cortex during offensive faceoff opportunities, indicating emotional involvement and evaluative thinking. The study used functional near-infrared spectroscopy to track brain activity in 20 participants watching a professional European ice hockey game.
Researchers at Aarhus University and University of Oxford used a novel neuroimaging method to show that the brain dynamically reconfigures its organization in response to auditory stimulation. This discovery opens new possibilities for studying brain responses to music, consciousness, and other phenomena.
Researchers have developed CaliAli, an advanced analytical framework that aligns calcium imaging data across multiple sessions, allowing for the continuous tracking of individual neurons. This breakthrough enables long-term brain activity studies and advances understanding of memory formation, retention, and neurological diseases.
Researchers discovered that oscillatory activity in two brain regions plays a crucial role in integrating auditory and visual information during memory recall. The study used movie clips with synchronized or asynchronous speech sounds and lip movements to explore this phenomenon.
A new technology enables early and precise disease detection by capturing brain activity with an extremely thin, flexible imager smaller than an eyelash. The device can image mouse brain tissue for structural and functional imaging of brain activity.
A new USC-led study found a significant link between type 2 diabetes and cortical thickness in older adults from various populations. The researchers discovered that individuals with T2DM exhibited thinner cortex, particularly in temporal and parietal regions critical for memory and cognitive function.
Researchers have identified the medial prefrontal cortex (mPFC) as the basis of emotional inference in animals and humans. In a study published in Nature, Xiaowei Gu and Joshua Johansen found that rats can learn inferred emotions by associating a neutral stimulus with an unpleasant experience.
Researchers found that hormone fluctuations during the mouse estrous cycle impact the shape and behavior of hippocampal neurons. The study suggests that sex hormones influence cognitive functions like memory and learning.
A new microscopy method, LICONN, developed by ISTA scientists and Google Research, can reconstruct mammalian brain tissue with all synaptic connections between neurons. This technique uses standard light microscopes and hydrogel to achieve high resolution and opens up possibilities for visualizing complex molecular machinery.
A team of researchers has shown that it may be possible to diagnose Parkinson's disease years before it becomes untreatable by scanning people's brains with fMRI. The study used ultra-high field experimental MRI scanners and analyzed brain activity in response to sensory impairments such as loss of smell and visual deficits.
A study published in Alzheimer's & Dementia found that learning one's Alzheimer's risk can decrease negative emotions like depression and anxiety, but also leads to decreased motivation for maintaining healthy lifestyle changes. Researchers emphasize the importance of personalized disclosure processes to sustain healthy behaviors.
A study at Emory University revealed that five-year-olds have the brain system that supports map-based navigation, challenging the assumption that this cognitive ability develops until age 12. Children can recognize landmarks and navigate through a virtual town with remarkable accuracy.
A new brain atlas developed by researchers at Duke University will increase precision in measuring changes in brain structure, making it easier to share results. The tool, the Duke Mouse Brain Atlas, provides a detailed map of the entire mouse brain, from large structures down to individual cells and circuits.
Researchers developed promising α-synuclein PET tracers that can visualize protein aggregates in living patients, enabling earlier diagnosis and treatment monitoring. Tracers like [18F]C05-05 and [18F]ACI-12589 showed significant results in distinguishing synucleinopathies from healthy controls.
A new AI tool has been developed to predict the relapse of pediatric brain cancer with high accuracy, using temporal learning algorithms to analyze sequential brain scans. The tool achieved an accuracy of 75-89% in predicting recurrence, outperforming predictions based on single images.
A new study reveals promising progress toward predicting how patients with major depressive disorder will respond to antidepressant medications. Brain connectivity patterns were found to significantly improve predictions of treatment response across two large, independent clinical trials.
Researchers created a world's first micrometer-level 3D multimodal atlas integrating cranium, functional brain regions, cerebral vasculature, and invasive brain-computer interface devices. The study utilized mixed reality for interactive visualization, enabling intuitive exploration of brain-computer interfaces and brain tissues.
Researchers found that oxytocin receptors were more abundant in egalitarian lemur species, contributing to reduced aggression and increased harmony. The findings could shed light on the role of hormones in shaping behavior in humans and other animals.
A novel cannula delivery system allows repeated, nondisruptive delivery of imaging agents to the mouse brain during long-term multiphoton microscopy. This innovation enhances longitudinal studies on brain function, disease progression, and potential treatments.
Researchers found larger falcine sinus diameters associated with higher risks of developmental delays, neurological issues and mortality in infants born with VOGM. Fetal MRI can help predict short- and intermediate-term outcomes, enabling early intervention and better care for high-risk patients.
A new AI tool called MindGlide can extract key information from brain images to measure damaged areas and highlight subtle changes in MS patients. The tool performed better than other AI tools and expert clinical analysis, enabling researchers to unlock valuable insights into multiple sclerosis.
Researchers at Aarhus University have developed a new understanding of how brain blood vessels react after a stroke. By mapping the molecular changes, they hope to find targeted therapies to improve patient outcomes.
Researchers at Cornell University have discovered key neurological mechanisms in psilocybin's brain effects, targeting pyramidal tract neurons and serotonin receptors. This could enable pharmaceuticals to deliver mood-altering benefits while suppressing perceptual hallucinations.
A new imaging technology has been developed that combines super-resolution imaging with artificial intelligence to reveal subcellular structures and dynamics in living cells. This breakthrough enables scientists to better understand the root causes of diseases, leading to improved treatments.
Researchers found that medical imaging experts can solve common optical illusions, including judging the size of objects. Training to improve visual perception can also make experts less susceptible to these illusions. This study has implications for training medical image analysts.
Researchers have developed a new way to map how individual connections between neurons change across the entire brain during learning. The method, DELTA, provides a brain-wide map of how individual synaptic proteins change over time, allowing scientists to understand how synaptic connections change and pinpoint areas of the brain impor...
Researchers have confirmed a neurobiochemical link between dopamine and cognitive flexibility through PET imaging, showing increased dopamine production with cognitively demanding tasks. This finding may lead to the development of more precise treatment strategies for neurological and psychiatric disorders.
A novel PET imaging approach has effectively quantified the COX-2 enzyme in human brains, opening doors for its use in clinical settings for various brain disorders. This breakthrough could lead to earlier disease detection and monitor disease progression with anti-inflammatory treatments.
Researchers at Waseda University developed a new technique using terahertz imaging to visualize the internal structure of the mouse cochlea with high resolution. The study successfully demonstrated the potential of THz imaging as a non-invasive diagnostic tool for auditory disorders and other medical applications.
Researchers discovered that D1 and D2 neurons in the brain work together to process appetitive and aversive stimuli, with D2 neurons playing a key role in extinguishing negative associations. This understanding can help develop new treatments for anxiety and post-traumatic stress.
A new digital 'translator' for brain studies enables researchers to map the brain in a standardized way, facilitating discoveries and treatments for various disorders. The open-source software allows for the comparison of brain imaging data with widely used brain atlases, promoting commonalities across findings.
A new study found that children with ADHD have a notable increase in functional connectivity while playing a virtual reality game, providing new insight into the condition. The results suggest that psychological testing for ADHD should be conducted in situations where symptoms are triggered.
Full Waveform Inversion (FWI) technology provides unprecedented precision in seismic imaging, breaking resolution limitations of traditional methods. It characterizes complex structures within the Earth's interior and offers higher-resolution subsurface models.
A new MRI technique has been successfully used to treat adults with drug-resistant epilepsy, allowing doctors to offer life-changing surgery to patients. The parallel transmit 7T scanner identified previously unseen structural lesions in nine patients, confirming the effectiveness of the treatment option.
Researchers developed an automated MRI processing and machine learning software to diagnose Parkinson’s disease, reducing diagnostic time by up to 96%. The software uses diffusion-weighted MRI and a noninvasive biomarker technique to identify neurodegeneration in the brain, providing more precise diagnoses.
The Open Brain Institute launches a groundbreaking platform to simulate and study digital brains, empowering researchers to explore brain complexity and diseases. With its virtual neuroscience laboratories, the OBI enables global collaboration and access to cutting-edge virtual labs.
Researchers compared cortical organization between humans and macaques, as well as humans and chimpanzees, to identify distinctively human neuroanatomical features. Unique prefrontal cortex organization and connections between brain regions associated with emotional regulation, social cognition, and language processing were found.
A study found that college athletes who experienced concussion showed persistent brain changes in scans even after being cleared to return to play and up to one year later. Brain function was also impaired, with reduced blood flow in the fronto-insular cortex.
Researchers are enrolling volunteers for a four-year study that will use advanced imaging, genetics, exercise science, neuroscience, and remote monitoring to investigate age-related health decline. The goal is to help individuals and healthcare practitioners better prevent the impact of disease on older adults.
Researchers developed a new brain imaging technique to predict and guide stroke patients' recovery by analyzing white matter tracts leading to the limbs. The study found that atrophy in these tracts is strongly correlated with motor recovery after a stroke, enabling clinicians to tailor rehabilitation strategies.
A study found that long-term cocaine use increases impulsivity in healthy rats, contradicting the belief that high impulsivity predicts cocaine use. This contradicts research on impulsive choice and delay-discounting tasks.
A new AI-based system called LILAC can accurately detect changes and predict outcomes in various medical applications. The system has been demonstrated on diverse longitudinal image series covering IVF embryos, healing tissue after wounds, and aging brains.
Researchers at the National Institutes of Health (NIH) have created a four-dimensional brain map that reveals how lesions similar to those seen in human MS form. The findings provide insight into early disease state changes and could help identify potential targets for MS treatments and brain tissue repair.
A new study reveals that schizophrenia's complexity is reflected in the individual brain structures of patients, with some experiencing perceptual disturbances and others cognitive impairments. The research suggests a precision medicine approach could tailor therapies to each patient's unique neurobiological profile.
A team from the University of Trento combined AI techniques with neuroimaging measurements to analyze how emotions and language structure influence brain activity during interactions. The results show that neural synchrony is associated with emotional content and semantic structure, with implications for understanding human relationships.
This study utilized deep learning models to diagnose and predict the likelihood of malignant transformation in oral potentially malignant disorders. AI-driven approaches offer noninvasive, cost-effective, and objective means to enhance early detection and improve patient outcomes.