Statistical models for brain signals with properties that evolve across trials.

Ombao, Hernando; Fiecas, Mark; Ting, Chee-Ming; Low, Yin Fen

Ombao, Hernando; Fiecas, Mark; Ting, Chee-Ming; Low, Yin Fen.

Affiliation

Ombao H; Statistics Program, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Electronic address: hernando.ombao@kaust.edu.sa.
Fiecas M; Division of Biostatistics, University of Minnesota, USA. Electronic address: mfiecas@umn.edu.
Ting CM; Statistics Program, King Abdullah University of Science and Technology (KAUST), Saudi Arabia; Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, Malaysia. Electronic address: cmting@utm.my.
Low YF; Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia. Electronic address: yinfen@utem.edu.my.

Neuroimage ; 180(Pt B): 609-618, 2018 10 15.

Article in En | MEDLINE | ID: mdl-29223740

Subject(s)

Brain Mapping/methods; Brain/physiology; Models, Neurological; Models, Statistical; Electroencephalography/methods; Fourier Analysis; Humans; Markov Chains; Nerve Net/physiology; Neural Pathways/physiology

Key words

Autoregressive model; Coherence; Markov-switching model; Partial directed coherence; Spectral representation; State-space

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Brain Mapping / Models, Statistical / Models, Neurological Type of study: Health_economic_evaluation / Risk_factors_studies Limits: Humans Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2018 Document type: Article Country of publication: United States

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