{"title":"Distinct portions of superior temporal sulcus combine auditory representations with different visual streams.","authors":"Gabriel Fajardo,Mengting Fang,Stefano Anzellotti","doi":"10.1523/jneurosci.1188-24.2025","DOIUrl":null,"url":null,"abstract":"In humans, the superior temporal sulcus (STS) combines auditory and visual information. However, the extent to which it relies on visual information from the ventral or dorsal stream remains uncertain. To address this, we analyzed open-source functional magnetic resonance imaging data collected from 15 participants (6 females and 9 males) as they watched a movie. We used artificial neural networks to investigate the relationship between multivariate response patterns in auditory cortex, the two visual streams, and the rest of the brain, finding that distinct portions of the STS combine information from the two visual streams with auditory information.Significance Statement The STS combines auditory and visual inputs. However, visual information is processed along a ventral and a dorsal stream, and the extent to which these streams contribute to the combination of audio-visual information is poorly understood. Is auditory information combined with visual information from both streams in a single centralized hub? Or do separate regions combine auditory information with ventral visual regions on one hand, and with dorsal visual regions on the other? To address this question, we employed a multivariate connectivity method based on artificial neural networks. Our findings reveal that information from the two visual streams is combined with auditory information in distinct portions of STS, offering new insights into the neural architecture underlying multisensory perception.","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":"98 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1523/jneurosci.1188-24.2025","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
In humans, the superior temporal sulcus (STS) combines auditory and visual information. However, the extent to which it relies on visual information from the ventral or dorsal stream remains uncertain. To address this, we analyzed open-source functional magnetic resonance imaging data collected from 15 participants (6 females and 9 males) as they watched a movie. We used artificial neural networks to investigate the relationship between multivariate response patterns in auditory cortex, the two visual streams, and the rest of the brain, finding that distinct portions of the STS combine information from the two visual streams with auditory information.Significance Statement The STS combines auditory and visual inputs. However, visual information is processed along a ventral and a dorsal stream, and the extent to which these streams contribute to the combination of audio-visual information is poorly understood. Is auditory information combined with visual information from both streams in a single centralized hub? Or do separate regions combine auditory information with ventral visual regions on one hand, and with dorsal visual regions on the other? To address this question, we employed a multivariate connectivity method based on artificial neural networks. Our findings reveal that information from the two visual streams is combined with auditory information in distinct portions of STS, offering new insights into the neural architecture underlying multisensory perception.
期刊介绍:
JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles