Practical guidelines for clinical magnetoencephalography - Another step towards best practice
Autor: | Arjan Hillebrand, Alida A. Gouw, Cornelis J. Stam, William Gaetz, Paul L. Furlong |
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Přispěvatelé: | Amsterdam Neuroscience - Brain Imaging, Neurology |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
genetic structures ECD equivalent current dipole Computer science Preoperative evaluation Electroencephalography computer.software_genre Dyslexia 0302 clinical medicine Traumatic brain injury Transient and steady-state responses Neural oscillations Analysis and interpretation Societies Medical SQUID superconducting quantum interference device Hepatic encephalopathy ECoG electrocorticography MUSIC multiple signal classification medicine.diagnostic_test musculoskeletal neural and ocular physiology Magnetoencephalography Alzheimer’s disease and dementia SNR signal-to-noise ratio Sensory Systems ICA independent component analysis Stroke Spontaneous brain activity Neurology fMRI functional magnetic resonance imaging SEF somatosensory evoked field Clinical neurophysiology IES intracutaneous epidermal electrical stimulation Artifacts Natural language processing psychological phenomena and processes EEG electroencephalography Neuropsychiatric disorders CMC cortex–muscle coherence Best practice MEDLINE Pain AEF auditory evoked field Guidelines tSSS temporo-spatial signal space separation behavioral disciplines and activities Article 03 medical and health sciences Physiology (medical) medicine Evoked and event-related responses BOLD blood-level oxygen dependent CKC corticokinematic coherence Epilepsy business.industry TMS transcranial magnetic stimulation VEF visual evoked field MNE minimum norm estimate MEG magnetoencephalography DCM dynamic causal modeling HE hepatic encephalopathy IAP intracarotid amobarbital procedure 030104 developmental biology Brain maturation and development nervous system Parkinson’s disease Neurology (clinical) Artificial intelligence ISI interstimulus interval Source modeling business computer MRI magnetic resonance imaging 030217 neurology & neurosurgery STN subthalamic nucleus SSS signal-space separation |
Zdroj: | Clinical Neurophysiology Hillebrand, A, Gaetz, W, Furlong, P L, Gouw, A A & Stam, C J 2018, ' Practical guidelines for clinical magnetoencephalography – Another step towards best practice ', Clinical Neurophysiology, vol. 129, no. 8, pp. 1709-1711 . https://doi.org/10.1016/j.clinph.2018.05.007 Clinical Neurophysiology, 129(8), 1709-1711. Elsevier Ireland Ltd |
ISSN: | 1872-8952 1388-2457 |
DOI: | 10.1016/j.clinph.2018.05.007 |
Popis: | Highlights • The main principles of magnetoencephalography (MEG) and the value of combined MEG and EEG are discussed. • Established and some potential future clinical applications of MEG are reviewed. • Practical guidelines for clinical MEG examinations are presented. Magnetoencephalography (MEG) records weak magnetic fields outside the human head and thereby provides millisecond-accurate information about neuronal currents supporting human brain function. MEG and electroencephalography (EEG) are closely related complementary methods and should be interpreted together whenever possible. This manuscript covers the basic physical and physiological principles of MEG and discusses the main aspects of state-of-the-art MEG data analysis. We provide guidelines for best practices of patient preparation, stimulus presentation, MEG data collection and analysis, as well as for MEG interpretation in routine clinical examinations. In 2017, about 200 whole-scalp MEG devices were in operation worldwide, many of them located in clinical environments. Yet, the established clinical indications for MEG examinations remain few, mainly restricted to the diagnostics of epilepsy and to preoperative functional evaluation of neurosurgical patients. We are confident that the extensive ongoing basic MEG research indicates potential for the evaluation of neurological and psychiatric syndromes, developmental disorders, and the integrity of cortical brain networks after stroke. Basic and clinical research is, thus, paving way for new clinical applications to be identified by an increasing number of practitioners of MEG. |
Databáze: | OpenAIRE |
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