Evidence map›Paper›PMID 26759789›Full record

ArticleNeuroImage. Clinical2016

Separate neural systems support representations for actions and objects during narrative speech in post-stroke aphasia.

Ezequiel Gleichgerrcht, Julius Fridriksson, Chris Rorden, Travis Nesland, Rutvik Desai, Leonardo Bonilha

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Rehabilitation and the Neural Network After Stroke.Translational stroke research · 2017
    Review
  10. 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

6 authors at 2 institutions in 1 country.

Ezequiel GleichgerrchtDepartment of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Julius FridrikssonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, USA.
Chris RordenDepartment of Psychology, University of South Carolina, Columbia, SC, USA.
Travis NeslandDepartment of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Rutvik DesaiDepartment of Psychology, University of South Carolina, Columbia, SC, USA.
Leonardo BonilhaDepartment of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Medical University of South Carolina · USUniversity of South Carolina · US

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
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
Neural Predictors of Anomia Recovery in AphasiaR01DC008355 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2007 to 2011
$1.7M
A Unified Neuroanatomical Model of Speech Production and Perception: ImplicationsR01DC009571 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS, RORDEN, CHRISTOPHER · 2009 to 2013
$1.6M
NCATS NIH HHS UL1 TR000062NIDCD NIH HHS DC008355NIDCD NIH HHS DC009571NIDCD NIH HHS DC014021NIDCD NIH HHS R01 DC008355NIDCD NIH HHS R01 DC009571NIDCD NIH HHS R01 DC014021NIDCD NIH HHS U01 DC011739
6 · The paper itself

Abstract

backgroundRepresentations of objects and actions in everyday speech are usually materialized as nouns and verbs, two grammatical classes that constitute the core elements of language. Given their very distinct roles in singling out objects (nouns) or referring to transformative actions (verbs), they likely rely on distinct brain circuits.

methodWe tested this hypothesis by conducting network-based lesion-symptom mapping in 38 patients with chronic stroke to the left hemisphere. We reconstructed the individual brain connectomes from probabilistic tractography applied to magnetic resonance imaging and obtained measures of production of words referring to objects and actions from narrative discourse elicited by picture naming tasks.

resultsWords for actions were associated with a frontal network strongly engaging structures involved in motor control and programming. Words for objects, instead, were related to a posterior network spreading across the occipital, posterior inferior temporal, and parietal regions, likely related with visual processing and imagery, object recognition, and spatial attention/scanning. Thus, each of these networks engaged brain areas typically involved in cognitive and sensorimotor experiences equivalent to the function served by each grammatical class (e.g. motor areas for verbs, perception areas for nouns).

conclusionsThe finding that the two major grammatical classes in human speech rely on two dissociable networks has both important theoretical implications for the neurobiology of language and clinical implications for the assessment and potential rehabilitation and treatment of patients with chronic aphasia due to stroke.

Indexed as

Functional LateralitySpeechAphasiaBrainConnectomeHumansLanguage TestsMagnetic Resonance ImagingSpeech Production MeasurementStrokeConnectomeDiffusion tensor imagingDiscourseMagnetic resonance imagingNetwork-symptom mappingNounsStrokeVerbs

Identifiers

PMID26759789
PMCPMC4683458
OpenAlexW2182032013

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.