Evidence map›Paper›PMID 38352332›Full record

ArticlebioRxiv : the preprint server for biology2024

Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing.

I M Dushyanthi Karunathilake, Christian Brodbeck, Shohini Bhattasali, Philip Resnik, Jonathan Z Simon

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

I M Dushyanthi KarunathilakeDepartment of Electrical and Computer Engineering, University of Maryland, College Park, MD, 20742.ORCID 0000-0002-3418-2346
Christian BrodbeckDepartment of Computing and Software, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-8380-639X
Shohini BhattasaliDepartment of Language Studies, University of Toronto, Scarborough, Canada.ORCID 0000-0002-6767-6529
Philip ResnikDepartment of Linguistics, and Institute for Advanced Computer Studies, University of Maryland, College Park, MD, 20742.ORCID 0000-0002-6130-8602
Jonathan Z SimonDepartment of Electrical and Computer Engineering, University of Maryland, College Park, MD, 20742.ORCID 0000-0003-0858-0698

Funding

Multilevel Auditory Processing of Continuous Speech, from Acoustics to LanguageR01DC019394 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI SIMON, JONATHAN Z. · 2021 to 2025
$2.9M
NIDCD NIH HHS R01 DC019394
6 · The paper itself

Abstract

When we listen to speech, our brain's neurophysiological responses "track" its acoustic features, but it is less well understood how these auditory responses are enhanced by linguistic content. Here, we recorded magnetoencephalography (MEG) responses while subjects listened to four types of continuous-speech-like passages: speech-envelope modulated noise, English-like non-words, scrambled words, and a narrative passage. Temporal response function (TRF) analysis provides strong neural evidence for the emergent features of speech processing in cortex, from acoustics to higher-level linguistics, as incremental steps in neural speech processing. Critically, we show a stepwise hierarchical progression of progressively higher order features over time, reflected in both bottom-up (early) and top-down (late) processing stages. Linguistically driven top-down mechanisms take the form of late N400-like responses, suggesting a central role of predictive coding mechanisms at multiple levels. As expected, the neural processing of lower-level acoustic feature responses is bilateral or right lateralized, with left lateralization emerging only for lexical-semantic features. Finally, our results identify potential neural markers, linguistic level late responses, derived from TRF components modulated by linguistic content, suggesting that these markers are indicative of speech

Identifiers

PMID38352332
PMCPMC10862830

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.