EEG extended source localization: Tensor-based vs. conventional methods

NeuroImage

Volumn 96, Issue , 2014, Pages 143-157

  Becker, H ^a,b,d   Albera, L ^b,c   Comon, P ^d   Haardt, M ^e   Birot, G ^b   Wendling, F ^b   Gavaret, M ^f,g,h   Benar C G ^f,g   Merlet, I ^b  

^a UNIVERSITÉ CÔTE D'AZUR   (France)

^b UNIVERSITÉ DE RENNES 1   (France)

^c INRIA   (France)

^d GIPSA LAB   (France)

^e ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

^f AIX MARSEILLE UNIVERSITÉ   (France)

^g AIX MARSEILLE UNIVERSITY   (France)

^h TIMONE HOSPITAL   (France)

Author keywords

Distributed source localization; EEG; Space time frequency analysis; Space time wave vector analysis; Tensor decomposition

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER SIMULATION; DATA ANALYSIS; DATA PROCESSING; ELECTROENCEPHALOGRAPHY; MEASUREMENT ACCURACY; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SPACE TIME FREQUENCY ANALYSIS; SPACE TIME WAVE VECTOR ANALYSIS; TENSOR DECOMPOSITION; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; HUMAN; NERVE CELL NETWORK; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL-TO-NOISE RATIO;

EID: 84899934602     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.03.043     Document Type: Article

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