Journal of NeuroscienceNeurosciencePeer-reviewed journal article
Cortical Processing of Arithmetic and Simple Sentences in an Auditory Attention Task
Joshua P. KulasinghamiD, Neha JoshiiD, Mohsen RezaeizadehiD, Jonathan Z. SimoniD
Abstract
Cortical processing of arithmetic and of language rely on both shared and task-specific neural mechanisms, which should also be dissociable from the particular sensory modality used to probe them. Here, spoken arithmetical and non-mathematical statements were employed to investigate neural processing of arithmetic, compared to general language processing, in an attention-modulated cocktail party paradigm. Magnetoencephalography (MEG) data was recorded from 22 subjects listening to audio mixtures of spoken sentences and arithmetic equations while selectively attending to one of the two speech streams. Short sentences and simple equations were presented diotically at fixed and distinct word/symbol and sentence/equation rates. Critically, this allowed neural responses to acoustics, words, and symbols to be dissociated from responses to sentences and equations. Indeed, the simultaneous neural processing of the acoustics of words and symbols was observed in auditory cortex for both streams. Neural responses to sentences and equations, however, was predominantly to the attended stream, and originated primarily from left temporal, and parietal areas, respectively. Additionally, these neural responses were correlated with behavioral performance in a deviant detection task. Source-localized Temporal Response Functions revealed distinct cortical dynamics of responses to sentences in left temporal areas and equations in bilateral temporal, parietal and motor areas. Finally, the target of attention could be decoded from MEG responses, especially in left superior parietal areas. In short, the neural responses to arithmetic and language are especially well segregated during the cocktail party paradigm, and the correlation with behavior suggests that they may be linked to successful comprehension or calculation. Significance StatementNeural processing of arithmetic relies on dedicated, modality independent cortical networks that are distinct from those underlying language processing. Using a simultaneous cocktail party listening paradigm, we found that these separate networks segregate naturally when listeners selectively attend to one type over the other. Time-locked activity in the left temporal lobe was observed for responses to both spoken sentences and equations, but the latter additionally showed bilateral parietal activity consistent with arithmetic processing. Critically, these responses were modulated by selective attention and correlated with task behavior, consistent with reflecting high-level processing for speech comprehension or correct calculations. The response dynamics show task-related differences that were used to reliably decode the attentional target of sentences or equations.
- organism: human
- assay: electronic health records
- research focus: cell type annotation
- approach: statistical model
- Citations
- 19
- FWCI
- 2.42
- Field percentile
- top 9%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Linguistic processing of task-irrelevant speech at a Cocktail Party
Paz Har-Shai Yahav, Elana Zion Golumbic·eLifePeer-reviewed·May 4, 2021
- The interplay of top-down focal attention and the cortical tracking of speech
Damien Lesenfants, Tom Francart·Scientific ReportsPeer-reviewed·Apr 24, 2020
- Attention to speech: Mapping distributed and selective attention systems
Galit Agmon, Paz Har-Shai Yahav, … Elana Zion Golumbic·Cerebral CortexPeer-reviewed·Nov 9, 2021
- Neural source dynamics of brain responses to continuous stimuli: speech processing from acoustics to comprehension
Christian J. Brodbeck, Alessandro Presacco, Jonathan Z. Simon·NeuroImagePeer-reviewed·Feb 3, 2018
- Cortical Responses Time-Locked to Continuous Speech in the High-Gamma Band Depend on Selective Attention
Vrishab Commuri, Joshua P. Kulasingham, Jonathan Z. Simon·Frontiers in NeurosciencePeer-reviewed·Dec 14, 2023
- Cortical tracking of continuous speech under bimodal divided attention
Zilong Xie, Christian J. Brodbeck, Bharath Chandrasekaran·Neurobiology of LanguagePeer-reviewed·Jan 1, 2023