Articles tagged with Neuroimaging
Researchers used behavioral and live brain imaging studies to understand why food-sated fruit flies avoid cooler temperatures. They found that insulin signaling modulators play a key role in regulating thermosensation under different feeding states.
A team of researchers has developed a new visualization tool combining high-speed cameras and fluorescent injection to distinguish tumor tissue from normal tissue across cancer types. The technique, known as fluorescence lifetime (FLT) imaging, achieved an accuracy of over 97% in distinguishing tumor tissue from healthy tissue.
A massive research consortium has created the largest human brain cell atlases to date, revealing over 3,000 different kinds of brain cells. This breakthrough study provides new insights into the cellular organization of the human brain and its modular, functional nature.
A new study explores how alpha-synuclein disrupts metabolic processes in neurons. Researchers used NanoSIMS imaging techniques to visualize isotopic variations and found changes in carbon turnover, suggesting increased metabolic demands on affected cells.
Researchers have created the first-ever map of a single animal's early visual system, reconstructing it from the eyes to neurons in a tiny parasitic wasp. The study reveals complex behaviors such as flight in an insect with just 8,600 cells compared to the human brain's 171 billion.
A study of 1,500 participants found that certain brain regions, including the hippocampus, exhibit stronger activation in individuals with better memory performance. The researchers identified functional networks in the brain linked to memory performance, shedding light on individual differences in memory recall.
Dr. Wang's research aims to extract effective disease biomarkers from large-scale brain imaging studies using advanced statistical learning approaches and scalable computing tools. The goal is to improve diagnosis, prognosis, and treatment accuracy for Alzheimer's Disease and related dementias.
Researchers at Brigham and Women's Hospital have identified a common brain network associated with substance use disorder, regardless of the substance used. The finding could lead to targeted neurostimulation therapies for addiction, such as transcranial magnetic stimulation.
An international team has decoded the TSPO protein to visualize neuroinflammation, revealing its relationship with microglial cells. The study's findings pave the way for optimizing observation of neuroinflammatory processes and re-reading previous studies.
Researchers propose that cerebrospinal fluid leaks could contribute to the link between traumatic brain injury and dementia. The hypothesis suggests that treating these leaks could mitigate dementia symptoms in some patients with a history of TBI. Further research is needed to confirm this potential association.
A study published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging found that greater activation in the right inferior frontal gyrus predicts better recovery from early PTSD symptoms. This breakthrough suggests a potential role for cortical/cognitive regions in regulating fear and PTSD development.
A randomized controlled trial found that cognitive behavioral therapy (CBT) significantly reduces fibromyalgia pain by decreasing pain-catastrophizing, a negative response that amplifies pain. CBT participants showed reduced connectivity between brain regions associated with self-awareness and emotional processing.
The Open Encyclopedia of Cognitive Science (OECS) is a dynamic web reference that will equip readers with essential tools to grapple with the profound implications of cognition and intelligence in today's society. With generous funding from James S. McDonnell Foundation and the Allen Institute for AI, the first set of articles will be ...
A new UTHealth Houston study reveals that implementing artificial intelligence-powered software can significantly reduce treatment time for stroke patients undergoing endovascular thrombectomy, with an average reduction of 11 minutes in time to thrombectomy initiation.
A new study from UTHealth Houston finds that AI-powered algorithm can improve detection rates of unruptured cerebral aneurysms. The study used a machine learning algorithm to analyze CT angiograms and identified 36 true aneurysms, with 24 previously not referred for follow-up.
Researchers developed a new imaging technique using Bessel beam two-photon microscopy to detect stalling in brain capillaries, which can indicate acute neurological issues. The approach generates clear images of all capillaries every two seconds, providing better temporal resolution and enabling the detection of short stalling events.
Researchers aim to understand the role of gaze in post-stroke reading impairments and develop an employment-specific assessment tool for individuals with autism. The studies may provide major steps towards finding innovative solutions for individuals affected by neglect dyslexia and autism.
The Stevens INI is expanding its health disparities research with a new award to examine vascular causes of dementia in Asian Americans. The project aims to use innovative imaging techniques and clinical translations to better understand cerebral small vessel disease (CSVD) and its impact on cognitive impairment and dementia.
Researchers developed a noninvasive technique to visualize and differentiate nerve tissue using multispectral photoacoustic imaging. The study revealed the optimal wavelengths for identifying nerve tissue, which could improve nerve detection and segmentation techniques.
A new article published in RadioGraphics warns of a potential side effect of novel Alzheimer's treatments: amyloid-related imaging abnormalities (ARIA). ARIA can cause swelling or bleeding in the brain and may be asymptomatic. Radiologists must monitor for ARIA to plan image monitoring per established guidelines.
The research team created a multi-spectral, super-low-dose photoacoustic microscopy system with improved sensitivity, enabling new applications and clinical translation. The system achieved up to capillary-level or sub-cellular resolution at greater depths than traditional optical microscopy methods.
A new CNIC study confirms that controlling traditional cardiovascular risk factors can prevent Alzheimer's disease and dementia. Maintaining a low cardiovascular risk is linked to preserved cerebral glucose metabolism, indicating better brain health.
A team of scientists has developed a rigorous accounting of the neurons in the tiny brain of a humble C. elegans worm, mapping out how its brain cells encode essential behaviors such as movement and feeding. The atlas reveals the underlying logic of how the worm's brain produces a sophisticated repertoire of behaviors, even as environm...
Researchers found that rodents exposed to light for the first time in adulthood showed significant plasticity in their brains, challenging previous beliefs about adult brain rigidity. After a month, their brains looked similar to those of healthy controls, with organized visual responses and smaller receptive fields.
Researchers found that anxious individuals rely on a less efficient section of the forebrain for emotional control, making it difficult for them to choose alternative behavior. This leads to avoidance of social situations and prevents them from learning that they are not as negative as they think.
A study led by University of Missouri neurologist Adnan Qureshi discovered that last year's iodinated media contrast dye shortage impacted the assessment of stroke patients in the US. The shortage resulted in a significant decrease in CT angiograph and CT perfusion scans, affecting blood flow and brain tissue identification.
Researchers developed a new algorithm to recover the 3D refractive index distribution of biological samples exhibiting multiple types of light scattering. The algorithm optimizes intensity diffraction tomography (IDT) for thick biological samples, achieving high-speed acquisition and high resolution.
Researchers at Kessler Foundation are conducting novel studies on identity reconstruction, physical and mental fatigue, and upper limb function to improve the lives of individuals with TBI. The studies aim to develop scalable, accessible, and effective interventions using strength-based approaches.
A new imaging technique, tau PET, has been shown to predict cognitive decline in Alzheimer's patients with greater accuracy than current methods. This breakthrough could lead to earlier diagnosis and treatment, improving patient outcomes.
Researchers have identified age-related changes in brain patterns associated with schizophrenia risk using a new hybrid, data-driven method. The study found alterations in prefrontal-sensorimotor and cerebellar-occipitoparietal brain connections linked to genetic risk for schizophrenia.
A new complex-domain neural network enhances large-scale coherent imaging by exploiting latent coupling information between amplitude and phase components. The technique reduces exposure time and data volume significantly while maintaining high-quality reconstructions.
A comprehensive review of US-based Alzheimer's disease brain imaging studies found that all racial and ethnic minority groups are underrepresented. The gap is narrowing, but the research highlights the need for more diverse samples to capture details of participants' lived experience.
A three-month mild exercise program improved executive function in middle-aged and older adults by increasing neural efficiency in the prefrontal cortex. The benefits were particularly pronounced in the older adult group, suggesting a positive impact on cognitive function and brain function with minimal physical exertion.
A new geometric deep learning model called GFCN has been developed to detect stroke lesions in brain imaging scans. The model leverages rich geometric information to segment brain tissue and achieves higher segmentation performance than other neural network architectures.
The University of Texas Health Science Center at San Antonio has developed an AI algorithm that can accurately count brain lesions on MRI scans in seconds. This tool helps neuroradiologists evaluate patients' brain diseases at earlier stages and identify the most significant lesions associated with stroke and small-vessel disease.
A cluster of neurons in the brains of fruit flies has been found to control visual aversion to scary objects. The researchers discovered that these neurons release a chemical called tachykinin, which regulates vision when feeling afraid.
Scientists have developed a new technology called LIONESS, which allows for comprehensive and spatially resolved reconstruction of living brain tissue. This breakthrough enables observation and measurement of dynamic cellular biology in real-time.
Using MRI instead of CT with CTA alone in patients presenting to the ED with dizziness was associated with greater critical neuroimaging results and more frequent echocardiography. Patients with dizziness undergoing MRI showed a lower frequency of 90-day ED readmissions compared to those discharged after CT with CTA alone.
Researchers at Korea University Medicine identified a new neuroimaging-based biomarker for MDD, the local gyrification index (LGI), which shows decreased cortical folding in patients. LGI values reflect long-drawn developmental processes and are stable markers compared to previous biomarkers.
A new study by investigators from the Brigham and Women’s Hospital found that lesions associated with epilepsy are connected to a common brain network, suggesting the brain connections disrupted by the lesions are key. This discovery may have clinical implications for predicting epilepsy risk and targeting treatments.
A systematic review of geriatric ED patients with delirium reveals that 16% of older adults presenting with altered mental status have acutely abnormal head imaging findings. Focal neurological deficits greatly increase the risk of abnormal head CTs, while anticoagulation is not associated with these abnormalities.
A study at University of Turku found that reduced central thalamic nuclei activity is related to anesthesia-induced disconnectedness for propofol, dexmedetomidine, and sevoflurane. In contrast, S-ketamine was associated with increased left parietal cortex activity during disconnection.
Researchers found a disrupted balance between glutamate and GABA neurotransmitters in the brains of people with OCD, which may lead to new treatment strategies. The study also suggests that excess glutamate levels could serve as a biomarker for OCD.
Researchers developed a computational technique combining genomic and tau PET imaging data to identify four subtypes of Alzheimer's disease. The integrated approach also revealed top genes associated with each subtype. This personalized diagnostic technique has potential for broad utility across various diseases.
A new PET radiotracer called <sup> 18 </sup> F-Cholestify has been developed to visualize metabolic cholesterol clearance in the brain. The tracer successfully visualized brain cholesterol metabolism in rats, non-human primates, and humans, showing promising results for studying neurodegenerative diseases.
A team of scientists has created the first-ever brain atlas of the dwarf cuttlefish, a master of camouflage. The atlas maps the animal's 32-lobed brain structure and cellular organization, providing valuable insights into its remarkable ability to change skin color in response to visual stimuli.
Researchers successfully engineered an albino strain of the hummingbird bobtail squid, offering clear optical access for visualizing its nervous system. This breakthrough presents Euprymna berryi as a viable candidate for a model cephalopod, enabling scientists to study complex animal behavior and unlock secrets of biology.
Researchers mapped receptor densities across the cortex, identifying two main arrangements that align with functional systems. The findings provide insights into how the brain adapts to a changing world, with potential applications for computational models and neuroscientific research.
Researchers developed an innovative imaging approach using two-photon microscopy to analyze retinal microcirculation, revealing significant changes in blood flow that may indicate brain diseases. The study suggests that microcirculation in the retina could serve as a promising predictor of cerebrovascular diseases.
Researchers developed a new spectropolarimetric imaging technique called DIP-SP, which integrates a passive polarization modulator into an imaging spectrometer. This approach enables high-dimensional information capture from incomplete measurements and significantly improves image quality.
Aneurysmal subarachnoid hemorrhage-related hydrocephalus is a complex syndrome that can lead to cognitive impairment and neurological damage. The new consensus guideline recommends standard-of-care approaches, including history review, head CT scans, and medications or surgical interventions to manage excessive intracranial pressure.
Researchers at Brigham and Women's Hospital identified distinct brain network connections for visual and motor anosognosia, as well as a shared network for awareness of deficits. The study found that the hippocampus and precuneus play a key role in memory-based recognition of neurological deficits.
A study found that patients with transient ischemic attack (TIA) who received incomplete neurovascular imaging were at higher odds of experiencing a stroke within 90 days. The research, published in the American Journal of Roentgenology, used Medicare claims data to analyze TIA emergency department encounters.
Defective myelin promotes disease-related changes in Alzheimer's by accelerating amyloid plaque deposition and overwhelming immune cells. Slowing down age-related myelin damage could lead to new therapies and prevent or slow down the disease.
Researchers at Beckman Institute found fetal exposure to PCBs made it harder for mice to recover from sound-related trauma. Oxidative stress appears to be key mediator of the effect, suppressing auditory system's ability to heal.
Researchers confirm increased protein marker of inflammation in long COVID patients' brains, impacting depression and cognitive symptoms. CAMH study provides hope for new treatments using anti-inflammatory medications.
Cancer cells in brain tumors produce lipids at higher rates than surrounding healthy tissue, offering clues for treatment strategies. The study provides insights into the unique biochemical processes fueling cancer growth in the brain.
A new study published in The Neuroradiology Journal introduces an artificial intelligence computer program that can accurately identify changes in brain structure resulting from repeated head injury. This AI tool uses machine learning to process magnetic resonance imaging (MRI) scans and distinguish between the brains of male athletes ...
Researchers at Brown University have developed a new imaging technique to track changes in blood vessels in the brains of mice, which could lead to early detection of neurodegenerative diseases. The method uses advanced imaging techniques and AI algorithms to identify biomarkers that may predict disease onset.
Researchers found that formalin fixation does not significantly alter the polarimetric properties of brain tissue, making it suitable for training machine-learning models. The study suggests that formalin-fixed brain tissue specimens can provide high-quality data for rapid and accurate diagnostic imaging in surgery.