Practical guidelines for clinical magnetoencephalography - Another step towards best practice

Autor: Arjan Hillebrand, Alida A. Gouw, Cornelis J. Stam, William Gaetz, Paul L. Furlong
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