Articles tagged with Electroencephalography
Researchers found that frontal EEG lateralization is a key indicator of emotional flexibility, with left-sided lateralization associated with flexible responses and right-sided lateralization linked to inflexible ones. The study suggests that training can improve left-sided lateralization and enhance emotional flexibility.
A significant genetic component of Idiopathic Generalized Epilepsy (IGE) has been discovered, implicating a mutation in the gene for protein cotransporter KCC2. The study found a clear association between two variants of KCC2 and severe IGE in French-Canadian patients.
A new study by University of Cincinnati researchers found that only a small proportion of seizure patients receive electroencephalograms (EEGs) in the emergency department, which can lead to delayed or inaccurate diagnoses. The study suggests that this may impact admission decisions and hospital care for these patients.
Researchers found that repeated-pulse transcranial magnetic stimulation at the Guangming point evokes distinct patterns in electroencephalogram signals compared to other nearby points. This study suggests a potential therapeutic application of this stimulation technique for modulating brain activity.
A UT Arlington assistant professor has developed a computational model that can accurately predict when an epileptic seizure will occur next. The model analyzes EEG readings to provide early warnings, allowing patients to use medicine to combat an oncoming seizure.
Researchers found that the brain processes visual input at a level of understanding its meaning, even if we never consciously perceive it. The study used EEG monitoring to show that participants' brainwaves showed a signature, or N400 waveform, when viewing objects hidden in silhouettes.
Researchers found that brainwaves indicate the brain processes and understands hidden objects in everyday life, despite the subjects not consciously perceiving them. The study challenges existing models of how the brain processes visual information, suggesting a more complex role for the brain in interpreting visual input.
Researchers developed a real-time system for detecting and identifying epilepsy using a nonlinear dynamics index and support vector machine. The system effectively identifies epileptic electroencephalogram signals with good generalization ability, making it suitable for clinical applications.
Researchers analyzed EEGs from autistic children and found a structural difference in brain connections, including increased short-range and decreased long-range connections. This pattern may underlie autism's classic cognitive profile of focused tasks but poor integration across brain areas.
Researchers found that individuals with developmental prosopagnosia unconsciously recognized famous faces at an early stage but lost this information by the later stage. This suggests 'covert face recognition' where some part of the brain is aware of the face despite lack of conscious awareness
A new study published in The Lancet reveals that electroencephalography (EEG) can detect awareness in people previously thought to be in a permanently vegetative state. Three out of 16 patients showed repetitive and reliable EEG responses to commands, indicating covert awareness despite being behaviorally unresponsive.
Researchers at the University of Wisconsin-Madison discovered that certain nerve cells in a sleep-deprived yet awake brain can briefly enter a sleep-like state, negatively impacting performance. This 'local sleep' phenomenon affects specific groups of neurons in the motor cortex, leading to mistakes and decreased vigilance.
The US Neurology guidelines provide a framework for diagnosing and treating infantile spasms, with a focus on early intervention and personalized treatment strategies. The consensus among experts is that broad clinical evaluation, vigabatrin or adrenocorticotropic hormone (ACTH) as first-line treatment, and timely assessment of treatme...
Research categorizes meditation into three types: focused attention (beta/gamma activity), open monitoring (theta activity), and automatic self-transcending (alpha1 activity). Different techniques produce distinct results, and lumping them together can lead to inaccurate interpretations.
A research project at Universidad Carlos III de Madrid has successfully analyzed cerebral bioelectricity to detect epilepsy. The team developed an algorithm that extracts relevant characteristics from electroencephalograms, allowing for quick detection and classification of epileptic seizures.
The study proposes a theoretical model of the brain's coordination dynamics and applies a novel 4D colorimetric method to human neurophysiological data. It reveals that both integration and segregation occur in the brain, essential for its normal function.
A novel data analysis method has been developed that extracts representative spatial filters for each individual subject, reducing the need for calibration before every session. This approach may pave the way for practical daily use of brain-computer interfacing technology for both patients and healthy users.
Research shows that cigarette smoking is associated with restless sleep and reduced deep sleep hours, as well as increased light sleep. The study suggests that nicotine withdrawal may contribute to these disturbances, particularly in the early stages of sleep.
The American Academy of Neurology recommends a routine electroencephalogram (EEG) and brain scans, such as CT or MRI, for adults experiencing their first unprovoked seizure. These diagnostic tools can help identify brain abnormalities that caused the seizure and predict seizure recurrence in approximately one in four patients.
A study found that women with severe premenstrual syndrome (PMS) report poor sleep quality during the late luteal phase, while controls showed no significant differences. The researchers suggest that women with PMS may have underlying electroencephalogram trait markers.
A new case of vCJD in Japan highlights the potential for misdiagnosis, as the patient's EEG showed a rare brainwave pattern characteristic. This discovery suggests revising the WHO definition to prevent missing cases.
A novel experiment revealed that experts in fine visual distinctions can process faces and other objects using the same neural networks, contradicting previous theories. This discovery has implications for our understanding of autism, national security, and expert recognition abilities.
This article explores the use of computer technology to improve rehabilitation outcomes for individuals with spinal cord injuries, multiple sclerosis, and hearing losses. Studies demonstrate the effectiveness of neuroprosthetics, equinometers, brain-computer interfaces, telemedicine, and computer head controls in enhancing health, redu...
The American Academy of Neurology and the Child Neurology Society recommend EEG evaluation for children with a first nonfebrile seizure, providing insights into seizure type and potential recurrence risk. The guidelines also emphasize individualized evaluations and future research directions.