Decoding sound categories based on whole-brain functional connectivity patterns.
2Sound decoding is important for patients with sensory loss, such as the blind. Previous studies on sound categorization were conducted by estimating brain activity using univariate analysis or voxel-wise multivariate decoding methods and suggested some regions were sensitive to auditory categories....
| Publicado en: | Brain Imaging & Behavior Vol. 14; no. 1; pp. 100 - 110 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2020
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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=141624953&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141624953 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Feb2020 vid: 14 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 141624953 141624953 NLM30361945 10.1007/s11682-018-9976-z NLM30361945 141624953 ppf: 100 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Decoding sound categories based on whole-brain functional connectivity patterns. aug: au: Zhang, Jinliang Zhang, Gaoyan Li, Xianglin Wang, Peiyuan Wang, Bin Liu, Baolin affil: School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, 300350, Tianjin, People's Republic of China sug: subj: Brain Mapping Methods Auditory Perception Physiology Male Temporal Lobe Physiology Brain Physiology Auditory Cortex Physiology Sound Magnetic Resonance Imaging Methods Multivariate Analysis Acoustic Stimulation Methods Female Neural Pathways Physiology Young Adult Clinical Assessment Tools Scales Male Female ab: 2Sound decoding is important for patients with sensory loss, such as the blind. Previous studies on sound categorization were conducted by estimating brain activity using univariate analysis or voxel-wise multivariate decoding methods and suggested some regions were sensitive to auditory categories. It is proposed that feedback connections between brain areas may facilitate auditory object selection. Therefore, it is important to explore whether functional connectivity among regions can be used to decode sound category. In this study, we constructed whole-brain functional connectivity patterns when subjects perceived four different sound categories and combined them with multivariate pattern classification analysis for sound decoding. The categorical discriminative networks and regions were determined based on the weight maps. Results showed that a high accuracy in multi-category classification was obtained based on the whole-brain functional connectivity patterns and the results were verified by different preprocessing parameters. Insight into the category discriminative functional networks showed that contributive connections crossed the left and right brain, and ranged from primary regions to high-level cognitive regions, which provide new evidence for the distributed representation of auditory object. Further analysis of brain regions in the discriminative networks showed that superior temporal gyrus and Heschl's gyrus significantly contributed to discriminating sound categories. Together, the findings reveal that functional connectivity based multivariate classification method provides rich information for auditory category decoding. The successful decoding results implicate the interactive properties of the distributed brain areas in auditory sound representation. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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