Results 11 to 20 of about 2,569,239 (225)

sBOSC: A Method for Source-Level Identification of Neural Oscillations in Electromagnetic Brain Signals. [PDF]

open access: yesPsychophysiology
ABSTRACT Neural oscillations are recognized as a fundamental component of brain electromagnetic activity. They are implicated in a wide range of cognitive processes and proposed as a core mechanism for brain communication. Nonetheless, detecting genuine neural oscillations remains a methodological challenge, particularly due to the difficulty of ...
Stern E, Niso G, Capilla A.
europepmc   +2 more sources

Fear Generalization in Adolescent Anxiety Disorders: A MEG Study. [PDF]

open access: yesDepress Anxiety
Background Adult patients with anxiety disorders (ADs) as well as healthy children and adolescents generalize learned fear responses to a larger degree than healthy adults. Although such overgeneralization of fear is central to theories of AD, little research has examined the respective mechanisms in pediatric populations.
Roesmann K   +4 more
europepmc   +2 more sources

An integrated full-head OPM-MEG system based on 128 zero-field sensors

open access: yesFrontiers in Neuroscience, 2023
Compact optically-pumped magnetometers (OPMs) are now commercially available with noise floors reaching 10 fT/Hz1/2. However, to be used effectively for magnetoencephalography (MEG), dense arrays of these sensors are required to operate as an integrated ...
O. Alem   +15 more
semanticscholar   +1 more source

Measurement of Frontal Midline Theta Oscillations using OPM-MEG

open access: yesNeuroImage, 2023
Optically pumped magnetometers (OPMs) are an emerging lightweight and compact sensor that can measure magnetic fields generated by the human brain. OPMs enable construction of wearable magnetoencephalography (MEG) systems, which offer advantages over ...
Natalie Rhodes   +12 more
semanticscholar   +1 more source

Interference suppression techniques for OPM-based MEG: Opportunities and challenges [PDF]

open access: yesNeuroImage, 2021
One of the primary technical challenges facing magnetoencephalography (MEG) is that the magnitude of neuromagnetic fields is several orders of magnitude lower than interfering signals.
R. Seymour   +6 more
semanticscholar   +1 more source

The meiofauna as neglected carriers of antibiotic resistant and pathogenic bacteria in freshwater ecosystems

open access: yesJournal of Limnology, 2021
The World Health Organization considers antibiotic resistance as one of the main threats to human and other animals' health. Despite the measures used to limit the spread of antibiotic resistance, the efforts made are not enough to tackle this problem ...
Maria Belen Sathicq   +4 more
doaj   +1 more source

Overview of MEG [PDF]

open access: yesOrganizational Research Methods, 2016
Magnetoencephalography (MEG) is a method to study electrical activity in the human brain by recording the neuromagnetic field outside the head. MEG, like electroencephalography (EEG), provides an excellent, millisecond-scale time resolution, and allows the estimation of the spatial distribution of the underlying activity, in favorable cases with a ...
Seppo P, Ahlfors, Maria, Mody
openaire   +2 more sources

A New Generation of OPM for High Dynamic and Large Bandwidth MEG: The 4He OPMs—First Applications in Healthy Volunteers

open access: yesItalian National Conference on Sensors, 2023
MagnetoEncephaloGraphy (MEG) provides a measure of electrical activity in the brain at a millisecond time scale. From these signals, one can non-invasively derive the dynamics of brain activity.
T. Gutteling   +12 more
semanticscholar   +1 more source

Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing

open access: yesScientific Data, 2023
The “MEG-MASC” dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories.
L. Gwilliams   +5 more
semanticscholar   +1 more source

Abnormal Emotional Processing and Emotional Experience in Patients with Peripheral Facial Nerve Paralysis: An MEG Study

open access: yesBrain Sciences, 2020
Abnormal emotional reactions of the brain in patients with facial nerve paralysis have not yet been reported. This study aims to investigate this issue by applying a machine-learning algorithm that discriminates brain emotional activities that belong ...
Mina Kheirkhah   +9 more
doaj   +1 more source

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