| Title |
Decoding power-spectral profiles from FMRI brain activities during naturalistic auditory experience
|
|---|---|
| Published in |
Brain Imaging and Behavior, February 2016
|
| DOI | 10.1007/s11682-016-9515-8 |
| Pubmed ID | |
| Authors |
Xintao Hu, Lei Guo, Junwei Han, Tianming Liu |
| Abstract |
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. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Researcher | 4 | 20% |
| Student > Doctoral Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 25% |
| Medicine and Dentistry | 4 | 20% |
| Neuroscience | 3 | 15% |
| Psychology | 1 | 5% |
| Linguistics | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 February 2016.
All research outputs
#17,784,649
of 22,844,985 outputs
Outputs from Brain Imaging and Behavior
#812
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Outputs of similar age
#273,196
of 400,364 outputs
Outputs of similar age from Brain Imaging and Behavior
#29
of 37 outputs
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