Reconstructing Tone Sequences from Functional Magnetic Resonance Imaging Blood-Oxygen Level Dependent Responses within Human Primary Auditory Cortex
| Autor: | Ione Fine, Jessica M. Thomas, Geoffrey M. Boynton, Kelly H. Chang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
decoding lcsh:BF1-990 Auditory cortex computer.software_genre behavioral disciplines and activities 03 medical and health sciences Tone (musical instrument) 0302 clinical medicine Voxel primary auditory cortex Octave medicine Psychology auditory tonotopy General Psychology Original Research Blood-oxygen-level dependent medicine.diagnostic_test Pure tone 030104 developmental biology lcsh:Psychology nervous system population receptive field Tonotopy Functional magnetic resonance imaging Neuroscience computer 030217 neurology & neurosurgery psychological phenomena and processes |
| Zdroj: | Frontiers in Psychology, Vol 8 (2017) Frontiers in Psychology |
| ISSN: | 1664-1078 |
| DOI: | 10.3389/fpsyg.2017.01983/full |
| Popis: | Here we show that, using functional magnetic resonance imaging (fMRI) blood-oxygen level dependent (BOLD) responses in human primary auditory cortex, it is possible to reconstruct the sequence of tones that a person has been listening to over time. First, we characterized the tonotopic organization of each subject's auditory cortex by measuring auditory responses to randomized pure tone stimuli and modeling the frequency tuning of each fMRI voxel as a Gaussian in log frequency space. Then, we tested our model by examining its ability to work in reverse. Auditory responses were re-collected in the same subjects, except this time they listened to sequences of frequencies taken from simple songs (e.g., "Somewhere Over the Rainbow"). By finding the frequency that minimized the difference between the model's prediction of BOLD responses and actual BOLD responses, we were able to reconstruct tone sequences, with mean frequency estimation errors of half an octave or less, and little evidence of systematic biases. |
| Databáze: | OpenAIRE |
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