A spatiotemporal dynamic distributed solution to the MEG inverse problem

NeuroImage

Volumn 63, Issue 2, 2012, Pages 894-909

  Lamus, Camilo ^a,b   Hämäläinen, Matti S ^b,c   Temereanca, Simona ^a,b   Brown, Emery N ^a,b,c   Purdon, Patrick L ^a,b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

Author keywords

Dynamic spatiotemporal modeling; Inverse problem; MEG EEG; Source localization

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; BRAIN FUNCTION; DYNAMIC MAXIMUM A POSTERIORI EXPECTATION MAXIMIZATION ALGORITHM; ELECTROENCEPHALOGRAM; EXPERIMENTATION; FEASIBILITY STUDY; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL COMPUTING; NERVE CELL NETWORK; NERVOUS SYSTEM PARAMETERS; NEUROANATOMY; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS MODEL; RADIOLOGICAL PARAMETERS; SPATIOTEMPORAL DYNAMIC DISTRIBUTED SOLUTION PROCESS; STANDARD;

ALGORITHMS; BRAIN; BRAIN MAPPING; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84866163820     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.11.020     Document Type: Article

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