Identifying musical pieces from fMRI data using encoding and decoding models.

Hoefle, Sebastian; Engel, Annerose; Basilio, Rodrigo; Alluri, Vinoo; Toiviainen, Petri; Cagy, Maurício; Moll, Jorge

Hoefle, Sebastian; Engel, Annerose; Basilio, Rodrigo; Alluri, Vinoo; Toiviainen, Petri; Cagy, Maurício; Moll, Jorge.

Affiliation

Hoefle S; Cognitive and Behavioral Neuroscience Unit and Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
Engel A; Biomedical Engineering Program, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Basilio R; Cognitive and Behavioral Neuroscience Unit and Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
Alluri V; Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany.
Toiviainen P; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Cagy M; Cognitive and Behavioral Neuroscience Unit and Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
Moll J; Finnish Centre for Interdisciplinary Music Research, Department of Music, Art and Culture Studies, University of Jyväskylä, Jyväskylä, Finland.

Sci Rep ; 8(1): 2266, 2018 02 02.

Article in En | MEDLINE | ID: mdl-29396524

Subject(s)

Acoustic Stimulation; Auditory Cortex/physiology; Magnetic Resonance Imaging; Music; Adult; Female; Healthy Volunteers; Humans; Male; Models, Neurological; Spatio-Temporal Analysis; Young Adult

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Full text: 1 Database: MEDLINE Therapeutic Methods and Therapies TCIM: Terapias_energeticas / Musicoterapia Main subject: Auditory Cortex / Acoustic Stimulation / Magnetic Resonance Imaging / Music Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2018 Type: Article Affiliation country: Brazil

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