Articles tagged with Neuroimaging
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.
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.
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 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.
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.
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 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.
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.
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.
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.
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 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.
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 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.
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.