Modeling brain resonance phenomena using a neural mass model

PLoS Computational Biology

Volumn 7, Issue 12, 2011, Pages

  Spiegler, Andreas ^a,b   Knösche, Thomas R ^a   Schwab, Karin ^c   Haueisen, Jens ^b   Atay, Fatihcan M ^d  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^b ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

^c JENA UNIVERSITY HOSPITAL   (Germany)

^d MAX PLANCK INSTITUTE FOR MATHEMATICS IN THE SCIENCES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; DIAGNOSIS;

BRAIN RHYTHMS; FREQUENCY ENTRAINMENT; LIGHT FLICKER; MEAN FIELD MODELS; MOOD DISORDERS; NEURAL MASS MODELS; PHOTIC DRIVINGS; RESONANCE PHENOMENON; STIMULUS FREQUENCY; STIMULUS INTENSITY;

MEAN FIELD THEORY;

ADULT; ARTICLE; BRAIN DEPTH RECORDING; BRAIN DEPTH STIMULATION; BRAIN ELECTROPHYSIOLOGY; BRAIN FUNCTION; CELL DENSITY; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; EVOKED CORTICAL RESPONSE; EXPERIMENTAL MODEL; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; MATHEMATICAL MODEL; NERVE CELL; NERVE CELL NETWORK; NERVE POTENTIAL; NORMAL HUMAN; PHOTOSTIMULATION; BIOLOGICAL MODEL; BRAIN; EPILEPSY; PATHOPHYSIOLOGY; PHYSIOLOGY; SCHIZOPHRENIA;

BRAIN; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; SCHIZOPHRENIA;

EID: 84855257686     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002298     Document Type: Article

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