Articles tagged with Neuroimaging
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.
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.
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.
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.