Evidence map›Paper›PMID 30243049›Full record

ArticleCortex; a journal devoted to the study of the nervous system and behavior2018

Left frontotemporal effective connectivity during semantic feature judgments in patients with chronic aphasia and age-matched healthy controls.

Erin L Meier, Jeffrey P Johnson, Swathi Kiran

Registry-linked trialAbstract read
In one paragraph

Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2018. 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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  15. Article
  16. Article
  17. Neuroplasticity in Aphasia: A Proposed Framework of Language Recovery.Journal of speech, language, and hearing research : JSLHR · 2019
    Review
  18. Article
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

3 authors.

Erin L MeierSargent College of Health & Rehabilitation Sciences, Boston University, United States. Electronic address: emeier@bu.edu.
Jeffrey P JohnsonSargent College of Health & Rehabilitation Sciences, Boston University, United States.
Swathi KiranSargent College of Health & Rehabilitation Sciences, Boston University, United States.

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
Structural and Effective Connectivity of Reorganized Language Networks in AphasiaF31DC015940 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MEIER, ERIN LYNN · 2017 to 2018
$79k
NIDCD NIH HHS F31 DC015940NIDCD NIH HHS P50 DC012283
6 · The paper itself

Abstract

Traditional models of neural reorganization of language skills in patients with chronic stroke-induced aphasia (PWA) propose activation of reperfused or spared left hemisphere tissue results in the most favorable language outcomes. However, these models do not fully explain variable behavioral recovery patterns observed in chronic patients. Instead, investigation of connectivity patterns of critical network nodes may elucidate better-informed recovery models. In the present study, we combined fMRI and dynamic causal modeling (DCM) to examine effective connectivity of a simple three-node left hemisphere network during a semantic feature decision task in 25 PWA and 18 age-matched neurologically intact healthy controls. The DCM model space utilized in Meier, Kapse, & Kiran (2016), which was organized according to exogenous input to one of three regions (i.e., left inferior frontal gyrus, pars triangularis [LIFGtri], left posterior middle temporal gyrus [LpMTG], or left middle frontal gyrus [LMFG]) implicated in various levels of lexical-semantic processing, was interrogated. This model space included all possible combinations of uni- and bidirectional task-modulated connections between LIFGtri, LMFG and LpMTG, resulting in 72 individual models that were partitioned into three separate families (i.e., Family #1: Input to LIFGtri, Family #2: Input to LMFG, Family #3: Input to LpMTG). Family-wise Bayesian model selection revealed Family #2: Input to LMFG best fit both patient and control data at a group level. Both groups relied heavily on LMFG's modulation of the other two model regions. By contrast, between-group differences in task-modulated coupling of LIFGtri and LpMTG were observed. Within the patient group, the strength of activity in LIFGtri and connectivity of LpMTG → LIFGtri were positively associated with lexical-semantic abilities inside and outside of the scanner, whereas greater recruitment of LpMTG was associated with poorer lexical-semantic skills.

Indexed as

AgedAphasiaBrain MappingDecision MakingFemaleFrontal LobeFunctional LateralityHumansJudgmentMagnetic Resonance ImagingMaleMiddle AgedModels, NeurologicalNerve NetTemporal LobeAphasiaConnectivityDynamic causal modelingLexical-semantics

Identifiers

PMID30243049
PMCPMC6234086

What OpenQuestion holds

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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.