Articles tagged with Functional Magnetic Resonance Imaging
A study published in PLOS Computational Biology found that as people age, their brain activity becomes less cohesive, with smaller groups of connected regions. This loss of coherence is associated with aging and may be linked to age-related impairments.
Researchers analyzed brain activity in people with musical anhedonia, finding reduced activity in the nucleus accumbens. This suggests a link between music processing and reward system, highlighting its evolutionary importance.
Researchers compared the effectiveness of fMRI and polygraph tests in detecting deception, finding that fMRI outperformed polygraph with up to 90% accuracy. The study suggests that fMRI may be a valuable tool in criminal proceedings, particularly when used in sequence with polygraph.
Researchers at Wayne State University will use a new $3.2 million NIH grant to investigate impaired learning and memory in schizophrenia from the perspective of brain plasticity, function and network dynamics. The study aims to explore interventions that may normalize abnormal markers of the illness.
Researchers aim to create personalized brain signatures for effective PTSD treatment using biomarkers and functional MRI scans. The study will track 160 veterans receiving psychotherapy to evaluate the predictive value of cognitive biomarkers.
A study by University of York psychologists found that perceiving oneself as obese triggers lower body satisfaction in females compared to males. Brain activity monitoring revealed a link between body perception and emotional processes, shedding light on eating disorder vulnerabilities.
A new tool developed at Lawrence Berkeley National Laboratory enables researchers to interactively explore brain hierarchical processes and shed light on neurological diseases like Alzheimer's. Brain Modulyzer combines multiple views of functional magnetic resonance imaging (fMRI) data to provide context for brain connectivity data.
A Monash University study revealed a 'swallowing inhibition' mechanism in the human body to regulate fluid intake and prevent over-drinking. The research showed that drinking too much water can cause potentially fatal water intoxication, highlighting the importance of listening to thirst cues rather than following an elaborate schedule.
Research from the Center for BrainHealth found that smokers' beliefs about nicotine content impact their brain's response to smoking. The study used fMRI scans to show that participants who believed a cigarette contained nicotine experienced different neural activity compared to those who believed it didn't.
Anna Rieckmann at Umea University has received a 5-year ERC Starting Grant to study the neural basis of cognitive functions using a new imaging technique combining fMRI and PET. This project aims to understand biological processes underlying brain activity, with potential implications for aging-related cognitive decline.
Researchers used advanced brain imaging techniques to study how beer flavor affects brain activity in beer drinkers. The study found that the right ventral striatum, a deep structure linked to motivated behavior and reward, showed increased activity in response to beer taste.
Researchers at Brigham Young University found that software developers often interrupt users with security messages at inconvenient times, leading to a significant decrease in user engagement. The study suggests that displaying security warnings when users are not multitasking can substantially increase their security behavior.
A new study published in Social, Cognitive and Affective Neuroscience suggests that many dogs prefer praise from their owners over food. The study, led by Gregory Berns at Emory University, used brain-imaging data and behavioral experiments to investigate canine reward preferences.
A study using brain scans of musician Sting found unexpected connections between seemingly disparate songs, including Beatles' "Girl" and Piazzolla's "Libertango". The research employed novel techniques to analyze brain activity patterns, revealing rich representations of desired soundscapes in great musicianship.
The study used fMRI to measure human brain activation and found that it can predict brain activity patterns within 70% accuracy. The researchers developed a novel approach to map semantic characteristics of words and correlated them with neural activity patterns.
A new MIT study reveals that brain regions dedicated to reading already exist with pre-existing connections even before children learn to read. These connections can predict the precise location where each child's word recognition area develops.
Researchers found a correspondence between a patient's ability to generate an EEG marker of attention and their ability to produce the critical clinical marker of awareness. This relationship existed for patients who could only follow commands with fMRI, making EEG a potential diagnostic tool for disorders of consciousness.
Researchers at UC Davis used DREADDs technology to temporarily turn off the amygdala, a key region for emotions, and found changes in activity across the entire brain. This study suggests that altered brain connectivity may be used to determine pathology sites in complex disorders like schizophrenia and autism.
A recent study has mapped 180 distinct areas in the human brain's outer mantle, or cortex, more than twice the number previously known. The researchers developed software that automatically detects the unique 'fingerprint' of each area in individual brain scans, with a nearly 97% detection rate.
Researchers at University Hospitals Case Medical Center are conducting a clinical trial using Philips fMRI Scanner to detect brain activation in patients with early and middle stages of Alzheimer's. The study aims to develop faster and more precise real-time methods for fMRI experimentation, which may help improve diagnosis accuracy.
A new study found that methylene blue increased response in brain areas controlling short-term memory and attention, leading to improved reaction times and memory retrieval. The results suggest that methylene blue can regulate certain brain networks related to sustained attention and short-term memory after a single oral low dose.
Researchers at Linköping University found that common fMRI analysis methods produce false positives, leading to inflated false positive rates. The team's alternative method yielded more accurate results, reducing the false positive rate from 60% to 5%.
A UCL study found that the habenula, a region that responds to bad experiences, functions abnormally in people with depression. In healthy adults, this region activates when expecting aversive events, but in depressed individuals, it decreases activation. The study suggests the theory on the habenula's role in depression needs rethinking.
Researchers at MUSC discovered that blood flow does not precisely follow local neural activity, challenging the long-held assumption that vascular and neural responses are tightly coupled. This finding suggests that fMRI may only reveal a blurred representation of underlying neural activity.
A Dartmouth-Princeton study found that people can intentionally forget past experiences by altering the context of those memories. Participants who were told to forget random words showed a 'flushing out' of scene-related activity from their brains, while remembering led to increased recall.
Researchers at the Center for BrainHealth will investigate how changes in brain blood flow affect cognition in individuals with multiple sclerosis (MS). They will use fMRI to examine cerebral blood flow and neural metabolic rate, aiming to pinpoint the brain systems responsible for cognitive slowing in MS.
A new machine learning algorithm can identify human facial expressions based on neural activity, with a 60% success rate. The area of the brain responsible for this task is the posterior superior temporal sulcus (pSTS), which activates when looking at images of different facial expressions.
Researchers developed a model that accurately predicts individual differences in task activation based on resting-state fMRI data. This novel approach suggests that resting-state patterns provide considerable information for estimating individual differences in task activation.
Researchers at UC Davis have made a breakthrough in understanding how we read by developing a new brain-scanning technique called FIRE-fMRI. This method combines functional MRI with eye tracking to study brain activity during natural reading, providing insights into how words are represented in the brain.
A new study published in Diabetologia found that the GLP-1 analog drug liraglutide decreases activation in the brain's cortex when individuals are shown images of desirable foods, making these foods less appealing. This suggests that liraglutide may be an effective weight loss therapy for people who tend to eat as a reward.
A new study in veterans with PTSD finds that mindfulness training can enhance the ability to manage thoughts and emotions, leading to reduced symptoms. Brain scans reveal stronger connections between brain networks involved in attention and inner thoughts, suggesting a potential tool for emotional regulation and trauma processing.
Researchers at University of Oregon developed a line of transgenic mice expressing green fluorescent protein to visualize neural activity. The technique allows for real-time imaging of brain-wide activity across cortex, enabling studies of sensory processing, cognition, and brain development.
A video game-based cognitive rehabilitation program improved thalamic functional connectivity and boosted cognitive abilities in multiple sclerosis patients. The study found that increased connectivity reflected the brain's plasticity and promoted cognitive rehabilitation for people with neurological diseases.
Researchers at Duke University have developed a new brain imaging strategy that allows people to control their motivational centers, leading to healthier and more productive lives. By using neurofeedback, participants were able to learn which strategies worked and adopt more effective ones.
Researchers have developed a new analysis method to distinguish between stroke patients with language problems, enabling more individualized treatment. The method uses functional magnetic resonance imaging (fMRI) and combines information about brain lesions and activity patterns.
A new tool may help predict patients' motor function recovery after stroke by analyzing changes in brain network configuration. Graph theoretical analysis revealed that a lower characteristic path length indicates better recovery, suggesting improved rehabilitation planning and therapy development.
Researchers found that offering smaller portions consistently motivates individuals to choose healthier options, regardless of hunger levels. Desirable non-food rewards also increase motivation for choosing smaller portions.
A computer-training task can alter brain wiring to regulate negative emotions by improving the ability to ignore irrelevant information. This non-emotional training was found to result in reduced brain reactions to emotional events and strengthened neural connections between brain regions involved in inhibiting emotional reactions.
The study found that brain regions associated with expectation can override objective reality, highlighting the importance of preconceptions in navigation. Researchers hope to apply this knowledge to develop new non-linguistic communication tools.
Researchers are developing a noninvasive brain-scanning technology that could produce images far superior to those obtained with electroencephalography and functional magnetic resonance imaging. The technique, called acoustoelectric brain imaging (ABI), involves applying ultrasound waves externally to the brain.
Researchers used fMRI to identify brain areas linked to Christmas spirit, including the primary motor and parietal lobules. The study's findings could advance understanding of festive cultural traditions and help patients with Christmas spirit deficiencies.
Using 20 years of fMRI data, researchers found that cognitive function and abstract thought exist as an agglomeration of many cortical sources. They developed a geometry-based method to analyze brain activity, revealing a hierarchy of abstraction related to the connectome structure of the whole human brain.
A new study identified three main brain regions where abnormalities are common to all types of focal epilepsy. The findings, published in Brain Connectivity, provide valuable insights into the neural networks underlying this neurological condition.
Researchers used brain imaging to predict the outcome of an anti-smoking email campaign sent to 800,000 smokers in New York State. The study found that brain activity in just 50 smokers was able to predict which messages would be effective at getting people to quit smoking.
Researchers identified structural damage between thalamus and primary motor cortex as key barrier for covert awareness and intentional movement in patients with vegetative states. This finding holds promise for development of restorative therapies.
A functional magnetic resonance imaging (fMRI) study found that The Dress activates frontal and parietal brain areas, depending on perception. Researchers identified differential brain activity in participants perceiving the dress as white-gold versus black-blue.
A new computer program analyzing functional brain MRIs of hearing-impaired children can predict effective language skills after cochlear implant surgery. The study identified two brain regions that effectively predict successful outcomes, providing potential biomarkers for clinicians.
A recent study published in Radiology found that older adults recover more slowly from concussions, exhibiting reduced neural plasticity and persistent hypoactivation. This suggests that mild traumatic brain injuries may have a more profound effect on older patients, highlighting the need for age-specific management strategies.
A new study provides the first direct window into the maturation of vision-related areas in the infant brain, showing that major motion processing areas are operational by 7 weeks. The study found similarities between infants and adults in terms of brain activity patterns, but also notable differences, particularly in the development o...
A study published in Neuron found that the rostrolateral prefrontal cortex (RLPFC) plays a crucial role in internally monitoring and guiding our behavior through sequences of tasks. By disrupting this region, researchers observed an increase in errors, highlighting its importance for cognitive control.
A novel study measures working memory deficits and cognitive recovery in individuals with mild traumatic brain injury (TBI) using functional neuroimaging. Cognitive improvement is found to correspond with normalization of activation patterns on fMRI, suggesting a potential early biomarker for predicting recovery.
Researchers used fMRI to distinguish first-episode psychotic patients from healthy controls while watching the movie. They found significant differences in brain activity, particularly in the precuneus region, which is associated with memory and self-awareness.
A new study published in the American Journal of Psychiatry has discovered a predictive fMRI-derived measure that significantly predicts patients' response to antipsychotic medication. This breakthrough enables the use of brain scans as a tool for guiding treatment and improving patient outcomes.
A new study by Duke University researchers suggests that self-control can weaken memory. The study found that when participants had to cancel an intended action, their ability to remember specific details was impaired. This finding may have implications for understanding attention deficit hyperactivity disorder (ADHD) and addiction.
Researchers used fMRI to measure brain activity while watching Alfred Hitchcock episodes, finding similar responses in younger subjects but not in older adults. The study suggests that attention control declines with age, leading to a greater variety in neural patterns.
A recent study has identified a face-selective region in the temporal cortex of dogs, which responds significantly to human and dog faces. The research suggests that this ability is hard-wired through cognitive evolution and may help explain dogs' sensitivity to human social cues.
Researchers at UC Berkeley's Haas School of Business used fMRI to test the association of human-like characteristics with brands. They found that brain activity could predict survey responses, validating customer insights. This study aims to close the gap between neuroscience and marketing research.
Researchers used brain scans to identify a predictor of response to treatment with SSRIs, the first-line drug treatment for PTSD. The study found that patients who showed less activation in the right ventrolateral prefrontal cortex prior to treatment were more likely to improve with SSRI therapy.
Researchers discovered that screams possess special acoustic properties, including roughness, which is a specific type of vocal expression used in stressful situations. Screams are modulated at a faster rate than normal speech, making them more attention-grabbing.
By analyzing blood flow patterns, researchers have identified 13 main brain networks that work together and can be used to diagnose neurological disorders like Alzheimer's. The study provides new insights into how the brain organizes itself and sets the stage for early diagnosis and treatment.