Evidence map›Paper›PMID 31419597›Full record

ArticleCortex; a journal devoted to the study of the nervous system and behavior2019

Recovery of offline and online sentence processing in aphasia: Language and domain-general network neuroplasticity.

Elena Barbieri, Jennifer Mack, Brianne Chiappetta, Eduardo Europa, Cynthia K Thompson

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01927302 (The Center for the Neurobiology of Language Recovery), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-weighted citation impact, top 6% 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.

NCT01927302 nacompletednot on this map

The Center for the Neurobiology of Language Recovery (CNLR)

TypeinterventionalSponsorNorthwestern UniversityRan2013 to 2019Enrolled90ConditionsAphasia, Dysgraphia, Anomia, AgrammatismArmsTreatment Focusing on Naming Objects, Treatment Focusing on Improving Spelling Abilities, Treatment Focusing on Improving Sentence Processing, No Treatment
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 45 citations in OpenAlex.

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  9. Treatment-induced neural reorganization in aphasia is language-domain specific: Evidence from a large-scale fMRI study.Cortex; a journal devoted to the study of the nervous system and behavior · 2023
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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

5 authors at 1 institution in 1 country.

Elena BarbieriCenter for the Neurobiology of Language Recovery, Northwestern University, Evanston, IL, USA. Electronic address: elena.barbieri@northwestern.edu.
Jennifer MackCenter for the Neurobiology of Language Recovery, Northwestern University, Evanston, IL, USA.
Brianne ChiappettaCenter for the Neurobiology of Language Recovery, Northwestern University, Evanston, IL, USA.
Eduardo EuropaCenter for the Neurobiology of Language Recovery, Northwestern University, Evanston, IL, USA.
Cynthia K ThompsonCenter for the Neurobiology of Language Recovery, Northwestern University, Evanston, IL, USA; Cognitive Neurology and Alzheimer's Disease Center, Northwestern University, Chicago, IL, USA; Department of Neurology, Northwestern University, Chicago, IL, USA.
Northwestern University · US

Funding

Neurobiology of Language Recovery in Aphasia: Natural History and Treatment-Ind*P50DC012283 · NIDCD · NORTHWESTERN UNIVERSITY · PI THOMPSON, CYNTHIA K · 2013 to 2017
$11.7M
NIDCD NIH HHS P50 DC012283
6 · The paper itself

Abstract

This paper examined the effects of treatment on both offline and online sentence processing and associated neuroplasticity within sentence processing and dorsal attention networks in chronic stroke-induced agrammatic aphasia. Twenty-three neurotypical adults and 19 individuals with aphasia served as participants. Aphasic individuals were randomly assigned to receive a 12-week course of linguistically-based treatment of passive sentence production and comprehension (N = 14, treatment group) or to serve as control participants (N = 5, natural history group). Both aphasic groups performed two offline tasks at baseline and three months following (at post-testing) to assess production and comprehension of trained passive structures and untrained syntactically related and unrelated structures. The aphasic participants and a healthy age-matched group also performed an online eyetracking comprehension task and a picture-verification fMRI task, which were repeated at post-testing for the aphasic groups. Results showed that individuals in the treatment, but not in the natural history, group improved on production and comprehension of both trained structures and untrained syntactically related structures. Treatment also resulted in a shift toward more normal-like eye movements and a significant increase in neural activation from baseline to post-testing. Upregulation encompassed right hemisphere regions homologs of left hemisphere regions involved in both sentence processing and domain-general functions and was positively correlated with treatment gains, as measured by offline comprehension accuracy, and with changes in processing strategies during sentence comprehension, as measured by eyetracking. These findings provide compelling evidence in favor of the contribution of both networks within the right hemisphere to the restoration of normal-like sentence processing patterns in chronic aphasia.

Indexed as

AdultAgedAphasiaAttentionBrainComprehensionEye MovementsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuronal PlasticityRecovery of FunctionSpeech PerceptionStrokeAphasiaEyetrackingfMRIOnline sentence processingSentence comprehensionTreatment of underlying forms

Identifiers

PMID31419597
PMCPMC6825897
OpenAlexW2958151727

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.