Decoding power-spectral profiles from FMRI brain activities during naturalistic auditory experience.
Recent studies have demonstrated a close relationship between computational acoustic features and neural brain activities, and have largely advanced our understanding of auditory information processing in the human brain. Along this line, we proposed a multidisciplinary study to examine whether powe...
| Publicado en: | Brain Imaging & Behavior Vol. 11; no. 1; pp. 253 - 264 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=122834682&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122834682 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Feb2017 vid: 11 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 122834682 122834682 NLM26860834 10.1007/s11682-016-9515-8 NLM26860834 122834682 ppf: 253 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Decoding power-spectral profiles from FMRI brain activities during naturalistic auditory experience. aug: au: Hu, Xintao Guo, Lei Han, Junwei Liu, Tianming affil: School of Automation , Northwestern Polytechnical University , Xi'an China sug: ab: Recent studies have demonstrated a close relationship between computational acoustic features and neural brain activities, and have largely advanced our understanding of auditory information processing in the human brain. Along this line, we proposed a multidisciplinary study to examine whether power spectral density (PSD) profiles can be decoded from brain activities during naturalistic auditory experience. The study was performed on a high resolution functional magnetic resonance imaging (fMRI) dataset acquired when participants freely listened to the audio-description of the movie "Forrest Gump". Representative PSD profiles existing in the audio-movie were identified by clustering the audio samples according to their PSD descriptors. Support vector machine (SVM) classifiers were trained to differentiate the representative PSD profiles using corresponding fMRI brain activities. Based on PSD profile decoding, we explored how the neural decodability correlated to power intensity and frequency deviants. Our experimental results demonstrated that PSD profiles can be reliably decoded from brain activities. We also suggested a sigmoidal relationship between the neural decodability and power intensity deviants of PSD profiles. Our study in addition substantiates the feasibility and advantage of naturalistic paradigm for studying neural encoding of complex auditory information. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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