Evidence map›Paper›PMID 26106314›Full record

ArticleFrontiers in human neuroscience2015

Changes in task-based effective connectivity in language networks following rehabilitation in post-stroke patients with aphasia.

Swathi Kiran, Erin L Meier, Kushal J Kapse, Peter A Glynn

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2015. 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 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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.

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

50 citing papers in PubMed.

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  14. 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

4 authors.

Swathi KiranAphasia Research Laboratory, Speech Language and Hearing Sciences, Sargent College, Boston University Boston MA, USA.
Erin L MeierAphasia Research Laboratory, Speech Language and Hearing Sciences, Sargent College, Boston University Boston MA, USA.
Kushal J KapseAphasia Research Laboratory, Speech Language and Hearing Sciences, Sargent College, Boston University Boston MA, USA.
Peter A GlynnFeinberg School of Medicine, Northwestern University Chicago IL, USA.

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
Application of Multimodal Imaging Techniques to Examine Language Recovery in PostK18DC011517 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KIRAN, SWATHI · 2011 to 2012
$250k
NIDCD NIH HHS P50 DC012283
6 · The paper itself

Abstract

In this study, we examined regions in the left and right hemisphere language network that were altered in terms of the underlying neural activation and effective connectivity subsequent to language rehabilitation. Eight persons with chronic post-stroke aphasia and eight normal controls participated in the current study. Patients received a 10 week semantic feature-based rehabilitation program to improve their skills. Therapy was provided on atypical examples of one trained category while two control categories were monitored; the categories were counterbalanced across patients. In each fMRI session, two experimental tasks were conducted: (a) picture naming and (b) semantic feature verification of trained and untrained categories. Analysis of treatment effect sizes revealed that all patients showed greater improvements on the trained category relative to untrained categories. Results from this study show remarkable patterns of consistency despite the inherent variability in lesion size and activation patterns across patients. Across patients, activation that emerged as a function of rehabilitation on the trained category included bilateral IFG, bilateral SFG, LMFG, and LPCG for picture naming; and bilateral IFG, bilateral MFG, LSFG, and bilateral MTG for semantic feature verification. Analysis of effective connectivity using Dynamic Causal Modeling (DCM) indicated that LIFG was the consistently significantly modulated region after rehabilitation across participants. These results indicate that language networks in patients with aphasia resemble normal language control networks and that this similarity is accentuated by rehabilitation.

Indexed as

aphasiadynamic causal modelingeffective connectivityfMRI activationslanguage recoverynamingrehabilitationstroke

Identifiers

PMID26106314
PMCPMC4460429

What OpenQuestion holds

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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.