Cortical Processing of Arithmetic and Simple Sentences in an Auditory Attention Task

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 data was recorded from 22 subjects listening to both 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 tracking of sentences and equations, however, was predominantly of 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 cortical dynamics of distinct 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 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 these neural responses are linked to successful comprehension or calculation.Significance StatementNeural processing of arithmetic may rely 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.

Algorithms for Estimating Time-Locked Neural Response Components in Cortical Processing of Continuous Speech

“…The a-priori parameters (latency windows) may need to be tuned for each predictor type or experiment, or even for each subject Modern TRF analyses involve multiple types of predictors (e.g., envelopes and phoneme onsets). Boosting and banded ridge regression may be suitable for these studies [9], [12], [40], [41]. However, the component characteristics of TRFs to these higher-level predictors must be determined before our proposed algorithms can be applied.…”