Novel Modeling of Task vs. Rest Brain State Predictability Using a Dynamic Time Warping Spectrum: Comparisons and Contrasts with Other Standard Measures of Brain Dynamics.

Dinov, Martin; Lorenz, Romy; Scott, Gregory; Sharp, David J; Fagerholm, Erik D; Leech, Robert

Dinov, Martin; Lorenz, Romy; Scott, Gregory; Sharp, David J; Fagerholm, Erik D; Leech, Robert.

Afiliação

Dinov M; Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London London, UK.
Lorenz R; Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London London, UK.
Scott G; Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London London, UK.
Sharp DJ; Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London London, UK.
Fagerholm ED; Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London London, UK.
Leech R; Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London London, UK.

Front Comput Neurosci ; 10: 46, 2016.

Article em En | MEDLINE | ID: mdl-27242502

Palavras-chave

DFT; DTW; EEG; EEG-fMRI; fMRI; microstate analysis; oscillations; predictability

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido

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