Researchers from Xi'an Jiaotong-Liverpool University found that brain stimulation combined with a nose spray containing nanoparticles can improve recovery after ischemic stroke. The treatment increased cognitive and motor functions, and weighed more quickly than those treated with TMS alone.
Researchers at the University of Rochester Medical Center used fMRI to study how the brain processes complex audiovisual speech. The study found that watching a narrator tell a story activates an extensive network of brain regions involved in sensory processing and cognitive functions associated with comprehension. This finding has pot...
Children with obesity who lose weight show increased hunger-related brain activity, despite changes in gut hormone levels. This disconnect may underlie why many people regain weight after a strict diet, highlighting the need for targeted treatments.
A new AI-based dynamic brain imaging technology has been introduced by Carnegie Mellon University, which can map out rapidly changing electrical activity in the brain with high precision and speed. The technology uses deep learning approaches to translate scalp EEG signals back to neural circuit activity without human intervention.
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Inhibitory and excitatory neuronal circuits develop through different processes, with inhibitory neurons requiring visual experience to form mature functional maps. This discovery sheds light on the importance of continued study of inhibitory neural development and its connection to neurodevelopmental disorders.
Researchers developed a laser-based diamond sensor that can measure magnetic fields up to 10 times more precisely than standard techniques. This innovation could help improve on existing magnetic-field sensing techniques for mapping brain activity to identify disorders.
A recent study published in PNAS Nexus found that brain scans can accurately predict a person's political ideology, regardless of whether they are performing tasks or simply thinking. The study used functional magnetic resonance imaging (fMRI) scans and artificial intelligence techniques to analyze the brain activity of 174 healthy adu...
Researchers have elucidated principles of human brain organisation across visual, auditory, somatosensory, and motor functional systems. The study revealed systematic changes in receptor architecture and gene expression within each system, reflecting increasing complexity of information processing.
Researchers at Cedars-Sinai have comprehensively mapped molecular activity in the brain and spinal cord that regulates body's response to central nervous system (CNS) disorders. They discovered a critical role of astrocytes, specialized support cells, in regulating outcomes for CNS disorders.
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Researchers propose a new method to study neural networks using intrinsic signal optical imaging (ISOI), which provides detailed maps of brain activity in living subjects. The study shows that ISOI can reveal cortical architecture at columnar resolution, offering a more accurate picture of brain network activity than existing methods.
Researchers found a correlation between Parkinson's gene alpha-synuclein and vocal production in zebra finches. The study suggests that this link could lead to earlier diagnoses and treatments for Parkinson's patients.
Researchers are combining optogenetics and fMRI to study the links between brain activity and behavior. This hybrid approach allows for targeted manipulation and monitoring of brain function in awake and behaving rodents, providing valuable insights into neural mechanisms.
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The Mini2P allows for live imaging of thousands of neurons, recording complex behavior and cognitive functions in a naturally behaving animal. By mapping neural landscapes across the cortex, researchers can gain insights into high-resolution brain activity and function.
Scientists have developed a new technology to decode brain activity and infer the meaning of a person's mental picture. The study used electrocorticogram to detect patterns in brain activity while patients imagined different images, revealing distinct representations for each concept. This breakthrough could lead to the development of ...
Researchers have developed a new approach to studying brain activity, allowing for longer-term studies and improved understanding of neural traffic jams. The new cranial window system uses surgical glue and a tiny glass window to capture high-quality blood flow imaging and stable electrical recordings.
A large-scale study aims to understand how individual brains change over time, identifying factors that increase cognitive decline risk and those that confer resilience. The Adult Aging Brain Connectome study will follow 1,000 participants across a decade, collecting brain scans, blood samples, and demographic data.
A study by Professor Kazumichi Matsumiya from Tohoku University's Graduate School of Information Sciences has discovered separate body maps for different motor systems. This finding can contribute to the development of new diagnostic techniques and rehabilitation strategies for patients with motor dysfunctions.
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The new sensor grids offer 100 times higher resolution than existing technology, allowing for more precise identification of seizure origins and preservation of healthy brain tissue. Longer term, the technology holds potential for permanent implantation to improve life quality for people with paralysis or neurodegenerative diseases.
Researchers at the University of Trento discovered brain cells acting as a compass for navigating conceptual spaces, similar to those found in physical environments. These 'head-direction cells' signal direction even when movement occurs in abstract spaces, suggesting a complementary mechanism for conceptual navigation.
Studies using virtual reality environments revealed that individuals with anxiety disorders exhibited increased brain activity in response to perceived threats, even in safe areas. The findings highlight the need for personalized treatments that help patients regain control over their body.
Researchers at Skoltech propose a method for interpreting brain activity data that is up to five times more accurate than the conventional technique. This method can help treat drug-resistant epilepsy and understand cognitive processes in the healthy brain.
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A review of current literature found irregular brain responses to challenging tasks and mistakes may be key to understanding links between abnormal behaviors in mental illness and cognitive disorders. Studies suggest that people with conditions like anxiety, OCD, and ADHD have different brain waves following mistakes compared to health...
A study found that adults with a history of childhood maltreatment, particularly sexual abuse, exhibit reduced brain connectivity in attention systems. Oxytocin treatment has been shown to increase connectivity, suggesting its potential as a treatment for PTSD and childhood trauma-related disorders.
Researchers at GIST create an optical technique called optical speckle image velocimetry that can image dynamic changes in cerebral blood flow, allowing for the diagnosis of brain health. The technique provides high-time resolution and measures both speed and direction of blood flow.
Researchers discovered zebrafish neurons that monitor prediction errors to efficiently avoid danger, creating a 'hazard map' in the brain. This study sheds light on brain circuits shared across vertebrates, including humans.
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Researchers at University of Toronto found that the brain's prefrontal cortex generalizes perceptual experiences from different senses, producing sensations even without direct experience. The study used functional magnetic resonance imaging and massage stones to capture neural activity patterns in the brain.
Researchers at Washington University found that neurons in the primary visual cortex exhibit 'drift' over time, changing their responses to the same stimulus even without learning or experience. This discovery challenges the notion of stable neural activity in sensory cortices.
Georgia State University researcher Vince Calhoun has received a $3.5 million grant to develop new methods for capturing dynamic connectivity in the brain and identifying biomarkers for early detection of Alzheimer's disease. The researchers aim to analyze real-time connectivity patterns to predict future cognitive decline.
A recent study found COVID-19 survivors exhibit abnormal patterns of brain connectivity associated with increased post-traumatic stress symptoms. The research team discovered three distinct states of functional connectivity in the brains of COVID-19 survivors, which are linked to symptom severity.
A team from the Russian Quantum Center developed a novel solid-state supersensitive room-temperature magnetometer capable of registering weak electrical sources in the brain. The device successfully detected alpha rhythm, a sinusoidal electric current in the back of the brain, and showed higher sensitivity than existing systems.
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Researchers at Rice University have developed a model of how internal states and external stimuli shape the behavior of hydra, a tiny, jellyfish-like creature. By studying their neural networks, scientists can gain insights into fundamental principles that may apply to more complex animals.
Researchers found that factual language evokes stronger brain responses than possible language, highlighting the power of fact-based communication in processing information. The study's findings suggest that our brains have a specialized representation for factual information, which is distinct from those for possibilities.
Researchers at the University of Turku studied how horror movies affect brain activity and found that unseen threats are the scariest. The study revealed that brains continuously anticipate and prepare for action in response to threat, making horror movies an effective way to enhance excitement.
A study on foot painters reveals they have finely tuned toe maps in their brains, which were previously thought to exist only in non-human primates. The findings suggest a critical period for brain plasticity early in life and raise questions about how humans adapt to limb loss or changes.
A new research developed a platform to predict compounds with clinical potential for treating brain diseases. The platform uses machine learning and whole-brain activity imaging to identify drugs with higher therapeutic and clinical translation potential, accelerating the drug development process.
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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.
A new study published in Human Brain Mapping found that older adults' brains show more bilateral communication than younger brains. This increased communication helps maintain healthy cognitive function despite the negative effects of aging.
Researchers use machine learning algorithms with brain imaging technology to identify complex thoughts, such as 'The witness shouted during the trial.' The study found that the mind's building blocks for constructing complex thoughts are formed by the brain's various sub-systems and are not word-based. With an accuracy rate of 87%, the...
Researchers at Rockefeller University have developed a new technique that captures the activity of an entire mouse brain in a single snapshot. This comprehensive view allows for robust and unbiased comparisons between active neuronal populations, enabling hypothesis generation about brain function.
Researchers at UW's I-LABS study body maps in infant brain, finding they develop early and relate to social connections and imitation. The findings shed light on how infants build sense of self and connect with others.
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UT Arlington researchers used a portable brain-mapping device to show limited prefrontal cortex activity among student veterans with PTSD during simple memorization tasks. The study found significant improvement in brain function after treatment, enabling mental healthcare providers to tailor treatment plans.
Researchers have created the first maps of neural activity in behaving zebrafish, recording activity from single cells to entire brains. The study reveals stereotyped patterns of activity between individuals, enabling a functional atlas of the brain to be built.
Scientists at Queen Mary University of London developed a new technique to measure electrical activity in synapses, enabling three-dimensional visualisation of neuronal networks. This breakthrough opens a new window into understanding brain function at the nanometre scale.
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The Brain Activity Mapping (BAM) Project seeks to develop tools for greater understanding of the brain's intricate networks, potentially leading to treatments for neurological diseases. Advances in nanoscience and nanotechnology hold promise for probing the brain at a nanoscale.
Researchers mapped brain activity in 892 cognitively normal individuals and found that Alzheimer's patients spend more time using certain roads and less time with others. This suggests that varying brain activity may reduce the risk of Alzheimer's disease, potentially through activities like exercise, education, and social connections.
Researchers at NTNU's Kavli Institute for Systems Neuroscience discovered that memory is divided into discrete packets, with each packet lasting around 125 milliseconds. The brain switches between these packets rapidly, allowing it to 'flip' between different maps of location and experience.
Researchers found that the brain uses different 'maps' to plan movements, depending on whether they are visually defined or performed in darkness. This discovery has important applications for robotics and developing machines to help paraplegics.
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A new study published in Human Brain Mapping found that autistics are up to 40 percent faster at problem-solving than non-autistics, with improved perceptual abilities. The research used the Raven's Standard Progressive Matrices test to measure hypothesis-testing and learning skills.
Schizophrenia can be detected early by identifying physical markers in the brain, according to Prof. Talma Hendler's groundbreaking work on facial recognition and brain imaging. By analyzing brain activity in response to unusual emotional faces, researchers hope to develop more effective treatments.
Scientists have developed a novel technique for in vivo imaging of neuronal function using bioluminescence, enabling the monitoring of calcium activity in neurons or the brain as a whole. This approach has been validated by recording neurons in the ellipsoid body and demonstrates its sensitivity and ability to study all brain structures.
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Researchers at Vanderbilt University have discovered that groups of brain cells synchronize their electrical activity to enhance orientation discrimination. By studying the firing rates of dozens of neurons, scientists found that synchronization among six neurons can discriminate variations in orientation as small as two degrees. This ...
A Carnegie Mellon statistics student has developed a method to mitigate noise in brain imaging, allowing for clearer pictures of brain activity. This technique could lead to more efficient experimental procedures and pave the way for more challenging experiments.
Researchers found that expert car viewers' ability to recognize cars interferes with face recognition, while novices do not. The study suggests a common neural circuitry for holistic object recognition, applicable to various objects, including faces and cars.
A recent study by Carnegie Mellon scientists discovered that reading and listening to identical sentences produce systematically different brain activation patterns. The right hemisphere was less active during reading, while the left-hemisphere's pars triangularis region showed increased activation in listening comprehension. This sugg...
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