Evidence map›Paper›PMID 34676371›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2020

Brain structures and cognitive abilities important for the self-monitoring of speech errors.

Ayan S Mandal, Mackenzie E Fama, Laura M Skipper-Kallal, Andrew T DeMarco, Elizabeth H Lacey, Peter E Turkeltaub

Open access · goldAbstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Right hemisphere language network plasticity in aphasia.Brain : a journal of neurology · 2026
    Article
  3. Article
  4. Right Hemisphere Language Network Plasticity in Aphasia.medRxiv : the preprint server for health sciences · 2025
    Article
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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

6 authors at 2 institutions in 2 countries.

Ayan S MandalGeorgetown University Medical Center, Center for Brain Plasticity and Recovery and Department of Neurology.
Mackenzie E FamaGeorgetown University Medical Center, Center for Brain Plasticity and Recovery and Department of Neurology.
Laura M Skipper-KallalGeorgetown University Medical Center, Center for Brain Plasticity and Recovery and Department of Neurology.
Andrew T DeMarcoGeorgetown University Medical Center, Center for Brain Plasticity and Recovery and Department of Neurology.
Elizabeth H LaceyGeorgetown University Medical Center, Center for Brain Plasticity and Recovery and Department of Neurology.
Peter E TurkeltaubGeorgetown University Medical Center, Center for Brain Plasticity and Recovery and Department of Neurology.
Georgetown University · USMedStar National Rehabilitation Hospital · US

Funding

Translational Biomedical Science Training GrantTL1TR001431 · NCATS · GEORGETOWN UNIVERSITY · PI LEE, DEXTER L, SANDBERG, KATHRYN L · 2015 to 2024
$4.8M
Contributions of spared brain structures and connections to aphasia recoveryR01DC014960 · NIDCD · GEORGETOWN UNIVERSITY · PI TURKELTAUB, PETER ETHAN · 2017 to 2021
$4.0M
Georgetown-Howard Universities Center for Clinical and Translational Science (GHUKL2TR000102 · NCATS · GEORGETOWN UNIVERSITY · PI MELLMAN, THOMAS A, VERBALIS, JOSEPH G · 2012 to 2014
$1.7M
Investigating insight into inner speech in aphasiaR03DC014310 · NIDCD · GEORGETOWN UNIVERSITY · PI TURKELTAUB, PETER ETHAN · 2015 to 2017
$462k
Using self-reported inner speech to guide treatment for anomiaF31DC014875 · NIDCD · GEORGETOWN UNIVERSITY · PI FAMA, MACKENZIE ELIZABETH · 2015 to 2017
$93k
NCATS NIH HHS KL2 TR000102NCATS NIH HHS TL1 TR001431NIDCD NIH HHS F31 DC014875NIDCD NIH HHS R01 DC014960NIDCD NIH HHS R03 DC014310
6 · The paper itself

Abstract

The brain structures and cognitive abilities necessary for successful monitoring of one's own speech errors remain unknown. We aimed to inform self-monitoring models by examining the neural and behavioral correlates of phonological and semantic error detection in individuals with post-stroke aphasia. First, we determined whether detection related to other abilities proposed to contribute to monitoring according to various theories, including naming ability, fluency, word-level auditory comprehension, sentence-level auditory comprehension, and executive function. Regression analyses revealed that fluency and executive scores were independent predictors of phonological error detection, while a measure of word-level comprehension related to semantic error detection. Next, we used multivariate lesion-symptom mapping to determine lesion locations associated with reduced error detection. Reduced overall error detection related to damage to a region of frontal white matter extending into dorsolateral prefrontal cortex (DLPFC). Detection of phonological errors related to damage to the same areas, but the lesion-behavior association was stronger, suggesting the localization for overall error detection was driven primarily by phonological error detection. These findings demonstrate that monitoring of different error types relies on distinct cognitive functions, and provide causal evidence for the importance of frontal white matter tracts and DLPFC for self-monitoring of speech.

Indexed as

aphasiadorsolateral prefrontal cortexexecutive functionfrontal white matterspeech error detectionspeech fluencyvoxel-based lesion symptom mapping

Identifiers

PMID34676371
PMCPMC8528269
OpenAlexW3033042443

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.