Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions

NeuroImage

Volumn 130, Issue , 2016, Pages 273-292

  Tewarie, P ^a   Bright, M G ^a   Hillebrand, A ^b   Robson, S E ^a   Gascoyne, L E ^a   Morris, P G ^a   Meier, J ^c   Van Mieghem, P ^c   Brookes, M J ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^c Department of Microelectronics   (Netherlands)

Author keywords

FMRI; Functional connectivity; Functional magnetic resonance imaging; Magnetoencephalography; Mapping; MEG; Multivariate Taylor series; Relationship between fMRI and MEG; Resting state network; RSN

Indexed keywords

ADULT; ARTICLE; BRAIN ELECTROPHYSIOLOGY; CONNECTOME; CROSS FREQUENCY INTERACTION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MAGNETOENCEPHALOGRAPHY; MALE; MATHEMATICAL MODEL; NONLINEAR INTERACTION; NORMAL HUMAN; OSCILLATION; PRIORITY JOURNAL; RESTING STATE NETWORK; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; HEMODYNAMICS; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; THEORETICAL MODEL;

BRAIN; BRAIN MAPPING; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; MODELS, THEORETICAL; NERVE NET;

EID: 84959321805     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.01.053     Document Type: Article

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