Search results for "magnetoencephalography"

showing 10 items of 110 documents

Exploring Frequency-dependent Brain Networks from ongoing EEG using Spatial ICA during music listening

2019

AbstractRecently, exploring brain activity based on functional networks during naturalistic stimuli especially music and video represents an attractive challenge because of the low signal-to-noise ratio in collected brain data. Although most efforts focusing on exploring the listening brain have been made through functional magnetic resonance imaging (fMRI), sensor-level electro- or magnetoencephalography (EEG/MEG) technique, little is known about how neural rhythms are involved in the brain network activity under naturalistic stimuli. This study exploited cortical oscillations through analysis of ongoing EEG and musical feature during free-listening to music. We used a data-driven method t…

medicine.diagnostic_testComputer sciencebusiness.industryBrain activity and meditation05 social sciencesShort-time Fourier transformPattern recognitionMusicalMagnetoencephalographyElectroencephalographyStimulus (physiology)Independent component analysis050105 experimental psychology03 medical and health sciences0302 clinical medicineFeature (computer vision)medicineMusic information retrieval0501 psychology and cognitive sciencesActive listeningArtificial intelligenceFunctional magnetic resonance imagingbusiness030217 neurology & neurosurgery
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2020

Abstract Proprioceptive paired-stimulus paradigm was used for 30 children (10–17 years) and 21 adult (25–45 years) volunteers in magnetoencephalography (MEG). Their right index finger was moved twice with 500-ms interval every 4 ± 25 s (repeated 100 times) using a pneumatic-movement actuator. Spatial-independent component analysis (ICA) was applied to identify stimulus-related components from MEG cortical responses. Clustering was used to identify spatiotemporally consistent components across subjects. We found a consistent primary response in the primary somatosensory (SI) cortex with similar gating ratios of 0.72 and 0.69 for the children and adults, respectively. Secondary responses with…

medicine.diagnostic_testProprioceptionCognitive Neuroscience05 social sciencesLateral sulcusStimulationMagnetoencephalographyGatingBiologySomatosensory system050105 experimental psychologyCorrelation03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicinemedicine.anatomical_structureCortex (anatomy)medicine0501 psychology and cognitive sciencesNeuroscience030217 neurology & neurosurgeryCerebral Cortex
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Evaluation of movement and brain activity

2021

Clinical neurophysiology studies can contribute important information about the physiology of human movement and the pathophysiology and diagnosis of different movement disorders. Some techniques can be accomplished in a routine clinical neurophysiology laboratory and others require some special equipment. This review, initiating a series of articles on this topic, focuses on the methods and techniques. The methods reviewed include EMG, EEG, MEG, evoked potentials, coherence, accelerometry, coherence, posturography (balance), gait, and sleep studies. Functional MRI (fMRI) is also reviewed as a physiological method that can be used independently or together with other methods. A few applicat…

medicine.medical_specialtyMovement disordersBrain activity and meditationMovementNeuroimagingElectroencephalographyClinical neurophysiologyArticlePhysical medicine and rehabilitationGait (human)Physiology (medical)medicineHumansBalance (ability)Brain MappingMovement Disordersmedicine.diagnostic_testElectromyographyMovement (music)business.industryPosturographyBrainMagnetoencephalographyElectroencephalographyMagnetic Resonance ImagingSensory SystemsNeurologyNeurology (clinical)medicine.symptomGait AnalysisbusinessClinical Neurophysiology
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Voluntary and Involuntary Attention in Bistable Visual Perception: A MEG Study

2020

In this study, voluntary and involuntary visual attention focused on different interpretations of a bistable image, were investigated using magnetoencephalography (MEG). A Necker cube with sinusoidally modulated pixels' intensity in the front and rear faces with frequencies 6.67 Hz (60/9) and 8.57 Hz (60/7), respectively, was presented to 12 healthy volunteers, who interpreted the cube as either left- or right-oriented. The tags of these frequencies and their second harmonics were identified in the average Fourier spectra of the MEG data recorded from the visual cortex. In the first part of the experiment, the subjects were asked to voluntarily control their attention by interpreting the cu…

medicine.medical_specialtyVisual perceptionvisual perceptionAudiologybrain noiselcsh:RC321-571wavelet analysis (WA)Behavioral Neurosciencemedicinemagnetoencephalography (MEG)lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNecker cubeBiological PsychiatryOriginal Researchmedicine.diagnostic_testHuman NeuroscienceCube (algebra)MagnetoencephalographySpectral componentGazeattentionPsychiatry and Mental healthNeuropsychology and Physiological PsychologyVisual cortexmedicine.anatomical_structureNeurologyFocusing attentionPsychologyFrontiers in Human Neuroscience
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Neural Responses to Musical Rhythm in Chinese Children With Reading Difficulties

2020

The perception of the musical rhythm has been suggested as one of the predicting factors for reading abilities. Several studies have demonstrated that children with reading difficulties (RD) show reduced neural sensitivity in musical rhythm perception. Despite this prior evidence, the association between music and reading in Chinese is still controversial. In the present study, we sought to answer the question of whether the musical rhythm perception of Chinese children with RD is intact or not, providing further clues on how reading and music might be interlinked across languages. Oddball paradigm was adapted for testing the difference of musical rhythm perception, including predictable an…

medicine.medical_specialtymedia_common.quotation_subjectlcsh:BF1-990Mismatch negativityAudiologybehavioral disciplines and activities050105 experimental psychologyP3a03 medical and health sciencesP3a0302 clinical medicineRhythmrytmitajuReading (process)PerceptionmedicinePsychologymagnetoencephalography (MEG)0501 psychology and cognitive sciencesreading difficultiesAssociation (psychology)Oddball paradigmGeneral PsychologyOriginal Researchmedia_commonMEGmedicine.diagnostic_test05 social sciencesMagnetoencephalographymismatch negativity (MMN)rytmilcsh:Psychologymusical rhythmlukihäiriötpoikkeavuusnegatiivisuusPsychology030217 neurology & neurosurgeryFrontiers in Psychology
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2021

Abstract Reliable paradigms and imaging measures of individual-level brain activity are paramount when reaching from group-level research studies to clinical assessment of individual patients. Magnetoencephalography (MEG) provides a direct, non-invasive measure of cortical processing with high spatiotemporal accuracy, and is thus well suited for assessment of functional brain damage in patients with language difficulties. This MEG study aimed to identify, in a delayed picture naming paradigm, source-localized evoked activity and modulations of cortical oscillations that show high test–retest reliability across measurement days in healthy individuals, demonstrating their applicability in cli…

medicine.medical_specialtymedicine.diagnostic_testLanguage productionBrain activity and meditationIntraclass correlationCognitive Neuroscience05 social sciencesMagnetoencephalographyAudiologymedicine.diseasebehavioral disciplines and activities050105 experimental psychologyAfterimageTask (project management)03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureNeurologyCortex (anatomy)medicine0501 psychology and cognitive sciencesLanguage disorderPsychology030217 neurology & neurosurgeryNeuroImage
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Picture naming yields highly consistent cortical activation patterns: test-retest reliability of magnetoencephalography recordings

2020

AbstractReliable paradigms and imaging measures of individual-level brain activity are paramount when reaching from group-level research studies to clinical assessment of individual patients. Magnetoencephalography (MEG) provides a direct, non-invasive measure of cortical processing with high spatiotemporal accuracy, and is thus well suited for assessment of functional brain damage in patients with language difficulties. This MEG study aimed to identify, in a picture naming paradigm, source-localized evoked activity and modulations of cortical oscillations that show high test-retest reliability across measurement days in healthy individuals, demonstrating their applicability in clinical set…

medicine.medical_specialtymedicine.diagnostic_testLanguage productionIntraclass correlationBrain activity and meditationMagnetoencephalographyAudiologymedicine.diseasebehavioral disciplines and activitiesAfterimageTask (project management)medicine.anatomical_structureCortex (anatomy)medicineLanguage disorderPsychology
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2021

School-age reading skills are associated with and predicted by preschool-age cognitive risk factors for dyslexia, such as deficits in phonological awareness, rapid automatized naming, letter knowledge, and verbal short-term memory. In addition, evidence exists that problems in morphological information processing could be considered a risk factor for dyslexia. In the present study, 27 children at pre-school age and the same 27 children at first grade age performed a morphological awareness task while their brain responses were measured with magnetoencephalography. Our aim was to examine how derivational morphology in Finnish language, and concomitant accuracy and reaction times are associat…

medicine.medical_specialtymedicine.diagnostic_testmedia_common.quotation_subjecteducation05 social sciencesDyslexia050301 educationCognitionMagnetoencephalographyAudiologymedicine.disease050105 experimental psychologyPhonological awarenessReading (process)medicine0501 psychology and cognitive sciencesCognitive skillRisk factorPsychology0503 educationRapid automatized namingmedia_commonFrontiers in Communication
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CMC is more than a measure of corticospinal tract integrity in acute stroke patients

2021

In healthy subjects, motor cortex activity and electromyographic (EMG) signals from contracting contralateral muscle show coherence in the beta (15-30 Hz) range. Corticomuscular coherence (CMC) is considered a sign of functional coupling between muscle and brain. Based on prior studies, CMC is altered in stroke, but functional significance of this finding has remained unclear. Here, we examined CMC in acute stroke patients and correlated the results with clinical outcome measures and corticospinal tract (CST) integrity estimated with diffusion tensor imaging (DTI). During isometric contraction of the extensor carpi radialis muscle, EMG and magnetoencephalographic oscillatory signals were re…

musculoskeletal diseasesmagnetoencephalographyafferent inputaivoinfarktiMEGtechnology industry and agriculturemacromolecular substancesmusculoskeletal systemstrokecorticospinal tract integritybody regionshermo-lihastoimintaaivokuorimotor cortexcorticomuscular coherencemotoriikka
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Unsupervised representation learning of spontaneous MEG data with nonlinear ICA

2023

Funding Information: We wish to thank the reviewers and editors for the useful comments to improve the paper a lot. We thank Dr. Hiroshi Morioka for the useful discussion at the beginning of the project. L.P. was funded in part by the European Research Council (No. 678578 ). A.H. was supported by a Fellowship from CIFAR, and the Academy of Finland. The authors acknowledge the computational resources provided by the Aalto Science-IT project, and also wish to thank the Finnish Grid and Cloud Infrastructure (FGCI) for supporting this project with computational and data storage resources. | openaire: EC/H2020/678578/EU//HRMEG Resting-state magnetoencephalography (MEG) data show complex but stru…

neuropalautenon-stationarityMEGsignaalinkäsittelyCognitive Neurosciencesyväoppiminensignaalianalyysineurofeedbackunsupervised learningdeep generative modelkoneoppiminenNeurologyresting-state networkmagnetoencephalography (MEG)nonlinear independent component analysis (ICA)NeuroImage
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