Evidence map›Paper›PMID 28628946›Full record

Trial reportAnnals of neurology2017

Structural plasticity of the ventral stream and aphasia recovery.

Emilie T McKinnon, Julius Fridriksson, G Russell Glenn, Jens H Jensen, Joseph A Helpern, Alexandra Basilakos, Chris Rorden, Andy Y Shih, M Vittoria Spampinato, Leonardo Bonilha

Abstract readClinical Trial
In one paragraph

Trial report in Annals of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Language Recovery after Brain Injury: A Structural Network Control Theory Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
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  16. Article
  17. Cortical microstructural changes associated with treated aphasia recovery.Annals of clinical and translational neurology · 2021
    Article
  18. Article
  19. Article
  20. Review
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

10 authors at 2 institutions in 1 country.

Emilie T McKinnonDepartment of Neurology, Medical University of South Carolina, Charleston, SC.
Julius FridrikssonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC.
G Russell GlennCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC.
Jens H JensenCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC.
Joseph A HelpernDepartment of Neurology, Medical University of South Carolina, Charleston, SC.
Alexandra BasilakosDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC.
Chris RordenDepartment of Psychology, University of South Carolina, Columbia, SC.
Andy Y ShihDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC.
M Vittoria SpampinatoDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC.
Leonardo BonilhaDepartment of Neurology, Medical University of South Carolina, Charleston, SC.
Medical University of South Carolina · USUniversity of South Carolina · US

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HICKOK, GREGORY · 2016 to 2025
$25.0M
Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
TRAINING PROGRAM FOR MEDICAL SCIENTISTST32GM008716 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DEMORE, NANCY · 1999 to 2024
$9.3M
Cortical and Subcortical Organization of Language-Related Semantic Processing in Alzheimer's DiseaseR01DC014021 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI BONILHA, LEONARDO F · 2014 to 2023
$4.7M
Trans-cranial Direct Current Stimulation to Treat Aphasia: Phase II TrialU01DC011739 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2012 to 2016
$4.4M
Interdisciplinary Research Training in Otolaryngology and Communication SciencesT32DC014435 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DUBNO, JUDY R · 2015 to 2024
$2.9M
NIDCD NIH HHS P50 DC014664NIDCD NIH HHS R01 DC014021NIDCD NIH HHS T32 DC014435NIDCD NIH HHS U01 DC011739NIGMS NIH HHS P20 GM109040NIGMS NIH HHS T32 GM008716
6 · The paper itself

Abstract

Restrengthening of the residual language network is likely to be crucial for speech recovery in poststroke aphasia. Eight participants with chronic aphasia received intensive speech therapy for 3 weeks, with standardized naming tests and brain magnetic resonance imaging before and after therapy. Kurtosis-based diffusion tensor tractography was used to measure mean kurtosis (MK) along a segment of the inferior longitudinal fasciculus (ILF). Therapy-related reduction in the number of semantic but not phonemic errors was associated with strengthening (renormalization) of ILF MK (r = -0.90, p < 0.05 corrected), suggesting that speech recovery is related to structural plasticity of language-specific components of the residual language network. Ann Neurol 2017;82:147-151.

Indexed as

AphasiaDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysNeuroimagingNeuronal PlasticityOccipital LobeSpeech TherapyTemporal Lobe

Identifiers

PMID28628946
PMCPMC5559663
OpenAlexW2702880110

What OpenQuestion holds

Textmetadata
LicenceTDM
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.