Articles tagged with Eeg Activity
Researchers used optical illusions to study human vision and found rhythmic brain activity patterns that facilitate visual feature integration. The findings suggest that periodic waves of brain activity are necessary for both perception and attention, contradicting the classical view of unified perception relying on a single brain region.
Researchers discovered a novel noninvasive electrophysiological biomarker for Parkinson's disease using scalp electrodes and electroencephalography (EEG). The approach showed promise for developing wearable technology to monitor disease-related brain activity at home.
Researchers at George Washington University are developing a non-invasive diagnostic tool for newborn brain injury using electroencephalography (EEG). The team, led by Matthew Colonnese, aims to improve the interpretation and understanding of EEG in neonates, both preterm and term.
Research from Boston University School of Medicine found that alcoholic men have diminished brain activity in emotional processing regions compared to women. The study suggests that gender-specific prevention and treatment approaches may be necessary for effective management of Alcohol Use Disorder (AUD).
Researchers have developed a brain-machine interface that can generate synthetic speech by controlling a virtual vocal tract based on brain activity. The technology has the potential to restore fluent communication in individuals with severe speech disabilities, including those with paralysis and neurological diseases.
Researchers have discovered a new way to measure brain function in milliseconds using MRE, allowing scientists to visualize responses in the brain as they unfold. This breakthrough could help diagnose and understand neurological diseases like Alzheimer's, dementia, and epilepsy.
Researchers have identified a pattern of brain activity reflecting anger experienced during dreaming. The study found that frontal alpha asymmetry is related to anger in both wakefulness and dreams.
Researchers at the University of Pittsburgh School of Medicine have found that responsive neurostimulation can remodel the brain to be less susceptible to seizures. By analyzing individual brain activity recordings over time, the study shows that stimulation changes brain networks, making it harder for seizures to spread.
Researchers mapped brain connectivity in 30 people to understand how different regions coordinate during tasks. The study aims to create novel strategies for AI-powered teaming environments, where robots can dynamically assist soldiers in completing tasks.
Researchers have uncovered large-scale brain patterns and networks that control sleep, revealing new insights into the complex processes of brain activity during sleep. This breakthrough has the potential to revolutionize our understanding of sleep disorders such as insomnia.
Researchers from UT Austin developed an LSTM-based language model that predicts brain activity with greater accuracy than ever before when listening to stories. The model incorporates context up to 20 words, improving predictions even with minimal context.
A study found that negative emotions suppress trust by disrupting brain activity and connectivity in key social cognition regions. Negative affect also impairs the strength of connections between these regions, predicting lower levels of trust.
For the first time, researchers from Charité - Universitätsmedizin Berlin have measured the 'Bereitschaftspotential' (readiness potential) outside a laboratory and under extreme conditions. This finding will help advance brain-computer interface development, enabling quadriplegics to control neuroprosthetics and regain hand function.
Scientists successfully demonstrated that electroencephalography can be used to accurately study activity in the deep areas of the brain. This breakthrough technique may lead to better understanding and treatment of diseases such as Parkinson's, Tourette syndrome, and obsessive-compulsive disorders.
Scientists at UT Southwestern Medical Center have developed a method to predict epileptic seizures at least four minutes in advance using EEG monitoring. The study shows that delivering an edible acid called acetate can prevent seizures if detected early, providing new potential therapy options.
New research shows that brain synchronization depends on linguistic context, with different areas aligning in native versus foreign languages. This discovery opens up possibilities for quantifying verbal communication through online tools like Skype.
A study found that consciousness is characterized by a complex configuration of interareal coordination, deviating from anatomical connections. In contrast, unconscious states are marked by positive patterns of interareal coherence dominated by brain region anatomy. The researchers suggest that transient brain signal coordination patte...
Neuroscientists have identified the brain's preparation for complex actions, including speech, handwriting, sports, and music, by analyzing tiny magnetic fields outside participants' heads. This research reveals unique patterns that distinguish skilled from error-prone executions.
Scientists have identified four distinct brain pattern profiles associated with conscious and unconscious states, shedding light on the neural dynamics underlying human consciousness. The findings hold potential for developing reliable biomarkers of consciousness and externally induced manipulations to restore awareness.
Researchers create system that can reconstruct words a person hears with unprecedented clarity using speech synthesizers and artificial intelligence. The breakthrough could help people who cannot speak, such as those living with ALS or recovering from stroke, regain their ability to communicate with the outside world.
Researchers discovered that individuals with epilepsy exhibit increased high-frequency brain activity in the right hemisphere when making risky bets and the left hemisphere when avoiding risks. The findings suggest a brain-based mechanism for risk-taking biases, which can be influenced by past behaviors.
Researchers found persistent cognitive changes and altered brain activity in young adults who experienced repetitive concussions, affecting flexible thinking and information processing. This study provides insight into the long-term effects of concussions on young adults and may inform targeted treatment strategies.
Researchers found that gently stroking newborns at a speed of approximately 3 centimeters per second can reduce pain-related brain activity. The study suggests that this technique could provide effective pain relief before clinically necessary medical procedures, and may also promote parent-infant bonding.
Researchers developed a method to translate brain activity into visual representations, enabling patients to increase or decrease beta waves associated with symptoms. Although no improvement in symptoms was observed, the study demonstrates a new approach toward managing disease-related brain activity that could inform new treatments.
A new study reveals that anticipation of touch in children's brains relates to their executive function skills, including selective attention. Children's ability to anticipate a tactile impact is associated with better cognitive control and academic performance.
A new study shows that imagination can be a powerful tool in helping people with fear and anxiety-related disorders overcome them. Brain imaging studies suggest that imagination can alter the way threats are represented in the brain, leading to extinction of fear responses.
A recent study by researchers at the University of Geneva found that our brains quickly differentiate between angry and happy voices, with a faster response time to perceived threats. This enhanced auditory attention enables us to detect potential dangers more effectively, leading to improved survival behavior.
Babies younger than 6 months fail to recognize their mothers' faces when watching mobile phones, but improve face recognition at around 5.5 months through increased brain activity in response to profile views. Longitudinal testing of 14 babies from 3-8 months old provided key insights into developmental changes in face recognition skills.
Researchers identified a unique frequency of brainwaves associated with communication between the amygdala and hippocampus, which correlates with worsening mood related to depression and anxiety. The study used intracranial EEG to measure brainwave activity in epilepsy patients and found fluctuations in electrical activity at a specifi...
A new study has identified a common pattern of brain activity linked to feelings of low mood and anxiety, particularly in individuals with a tendency towards depression. The findings could serve as a biomarker for developing new therapies to treat mood disorders.
Researchers created data-driven models of individual brains to understand how brain structure affects cognitive tasks, such as language demand. The study identifies potential strategies for enhancing performance through targeted brain stimulation.
Researchers discovered brain regions deactivated during successful reading recall, suggesting a mechanism for filtering out irrelevant information and focusing on memory commitment. The findings provide new insight into natural reading processes and the neural basis of successful text encoding.
A new study using computational models shows promise in understanding how brain structure impacts performance on language-related tasks. The research found relationships between brain characteristics and task speed, potentially leading to advancements in treating diseases and enhancing human performance.
A new study by Imperial College London reveals that kisspeptin, the master regulator of reproduction, affects brain activity in healthy volunteers, leading to decreased sexual aversion and increased brain activity associated with sexual arousal. The hormone also boosts networks involved in mood and depression.
Researchers found that fans of rival teams see the same game in a visual sense, but interpret and evaluate sensory information differently. The study suggests that group bias may be linked to the brain's reward system and reflects an interaction between multiple brain regions.
Researchers identified a specific neural network that helps regulate babies' brain activity in response to pain, similar to adults. Greater functional connectivity within this network was found to lead to lower brain activity in response to painful stimuli.
Researchers have discovered two brain regions - the prefrontal cortex and hippocampus - whose activity patterns are characteristic of the process of forgetting. Voluntary forgetting enables humans to focus on tasks and is crucial for emotional wellbeing.
Researchers discovered a universal phenomenon where all brains are composed of the same wide spectrum of strong and weak links. Dendritic learning enables fast information flow through strong entry points, explaining the stable distribution of link strengths across all brains.
Researchers used fMRI data to analyze brain activity of infrequent and frequent news readers, finding that the former group was better at predicting article popularity. The study suggests that people who don't normally read the news are more representative of general population trends.
Researchers at Imperial College London found that DTM can model near-death experiences in the brain, with participants scoring above a threshold for determining an NDE. The study suggests that DTM may be able to alter brain activity similarly to NDEs, but with different contexts.
Researchers mapped brain activity in response to letters and words in specific brain regions, finding distinct representations for letter-forms and word-forms. The study sheds light on the neural basis of reading in the human brain.
A study at McGill University found that just 15 minutes of exercise increases brain connectivity and efficiency, leading to better long-term retention of new motor skills. The research suggests that this optimal brain state can be accelerated through exercise and may have implications for recovery from stroke or injury.
Researchers at Tel Aviv University discovered that noradrenaline affects the ability to detect low-contrast images, influencing early stages of visual processing. The study's findings have potential applications in developing better anesthetics and detecting early warning signs for dangerous situations.
Researchers at UC Davis will investigate human brain's attention systems with higher resolution than ever attempted, aiming to understand and treat attention disorders. They plan to use combined fMRI and EEG methods to measure brain activity in volunteers.
Researchers used natural conversations to study neuronal activity, finding that brain regions relevant to articulation reliably display activity during perception of spontaneous spoken language. This suggests a shared premotor-cortical substrate for speech production and perception.
Researchers have successfully measured participants' risk behavior while observing their brain activity using electroencephalography (EEG), revealing a key link between anxiety and decision-making. High anxious participants chose the low-risk option more often, and specific brain activity was associated with heightened cognitive control.
Researchers at MIT's CSAIL have developed a system that allows people to control robots using brainwaves and hand gestures. The system uses EEG and EMG feedback to detect errors and correct robot mistakes on multi-choice problems, enabling more natural human-robot interactions.
A team of researchers at Drexel University has successfully measured the brain activity of pilots in real-time using functional near-infrared spectroscopy, or fNIRS. The study shows that pilots who flew a real aircraft committed more errors and had higher cognitive load than those who operated a flight simulator.
A new study published in eNeuro provides evidence for the link between the motor system and our sense of time. Participants in the research task showed synchronization between action preparation and perception, demonstrating that the brain operates at different speeds.
Researchers at Toyohashi University of Technology have discovered that face-likeness is judged by early visual processing, occurring within 100ms of viewing an object. This finding suggests that face-likeness recognition is a fundamental cognitive process, separate from traditional notions of pareidolia.
A new study published in Social Cognitive and Affective Neuroscience found that having an audience improves performance at skilled tasks. When people know they are being observed, their brain activity increases in areas associated with social awareness and reward, leading to better motor skills.
Researchers discovered that patients with Primary Progressive Aphasia use different brain regions to process language, compensating for damaged areas. This finding holds hope for targeted treatments and earlier disease assessments.
Researchers at Johns Hopkins University developed a way to study the brain of a bat as it flies, recording brain activity for the first time in naturally behaving animals. The team observed bursts of activity in midbrain cells as the bat shifted attention, providing insights into how brains process information in real-world situations.
A study led by UC Riverside psychologist Megan Zirnstein found that bilinguals can actively predict word meanings and adapt quickly, just like monolingual peers. The research highlights the need to acknowledge variability in bilingual communities and suggests that control ability can help readers overcome prediction errors.
Research suggests that age-related disruptions in sleep are not due to changes in individual neurons' activity. The study found similar effects of sleep deprivation on local sleep oscillations across different age groups.
A study found that stressed individuals performed equally well as relaxed individuals in a categorization task, but their brains showed increased activity and used additional brain regions. The researchers believe this compensation mechanism allows for good performance despite stress.
Researchers have created an innovative method to alleviate common fears by reading out unconscious brain activity and associating feared objects with positive feelings. By using a mental exercise game and leveraging artificial intelligence algorithms, participants can become desensitized to phobic stimuli without encountering the feare...
A new study by Duke University neuroscientists used electrical brain activity to predict depression vulnerability in mice, finding different networks of brain activity were linked to depression-like symptoms. The results may lead to a predictive test for mental illnesses like depression and could inform treatment strategies.
A new technique developed by neuroscientists at the University of Toronto Scarborough can reconstruct images seen by test subjects based on electroencephalography (EEG) data. This method uses machine learning algorithms to digitally recreate images in the subject's mind, revealing fine-grained visual detail.
A team of University of Pennsylvania neuroscientists developed a system to monitor brain activity and trigger stimulation responsively, improving learning and memory performance. The study found that precisely timed electrical stimulation can reliably enhance memory function in patients with memory loss.