Evidence map›Paper›PMID 41573942›Full record

ArticlebioRxiv : the preprint server for biology2026

Auditory Speech Processing Efficiency: Functional Connectivity Graph Theory Analysis of Lexical Processing Effort.

Paulina Skolasinska, Adam T Eggebrecht, Julia L Evans

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Paulina SkolasinskaMcGill University, Montreal, QC, CA.ORCID 0000-0001-7995-9588
Adam T EggebrechtWashington University in St. Louis, St. Louis MO, USA.
Julia L EvansUniversity of Texas at Dallas, Dallas, TX, USA.

Funding

Cognitive Representation in Specific Language ImpairmentR01DC005650 · NIDCD · UNIVERSITY OF WISCONSIN MADISON · PI EVANS, JULIA L · 2002 to 2010
$2.7M
Characterization of the Neurobiological Profiles of Young Adults with and without Developmental Language Disorder (DLD)K18DC021149 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI EVANS, JULIA L · 2023 to 2024
$425k
NIDCD NIH HHS K18 DC021149NIDCD NIH HHS R01 DC005650
6 · The paper itself

Abstract

Purpose: Network science models of real-time spoken word processing predict that word frequency and sublexical phonotactic probability directly influence verbal working memory. Behavioral accuracy and speed of processing suggest that high frequency words differ in cognitive processing effort as compared to low frequency words. Cognitive processing effort, assessed indirectly through changes in prefrontal oxygenated (HbO) and deoxygenated (HbR) hemoglobin concentrations, also suggest that high and low frequency words differ in cognitive effort. This novel study examines potential differences in linguistic processing effort and efficiency directly, using measures of functional connectivity (FC) strength, modularity, and global efficiency, derived from the listener's prefrontal cortex hemodynamic responses using a paradigmatic verbal working memory paradigm. Method: A total of 20 neurologically typical participants (age 18-21 years) completed an auditory Results: Word frequency effects were evident in both in the behavioral and functional connectivity measures. Task performance, regardless of word frequency, was related to brain measures, such that higher prefrontal FC strength was negatively correlated with accuracy ( Conclusions: We identified network properties that are linked to lexical indices of cognitive processing effort in typical participants. These preliminary results point to strategies that could assess language function in atypical populations in future studies.

Indexed as

functional connectivityfunctional near-infrared spectroscopygraph theorylinguistic efficiencymental lexiconspoken word processing

Identifiers

PMID41573942
PMCPMC12822753

What OpenQuestion holds

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LicenceCC BY-ND
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Registered trials

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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.