Evidence map›Paper›PMID 36729701›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2023

Errorless, Errorful, and Retrieval Practice for Naming Treatment in Aphasia: A Scoping Review of Learning Mechanisms and Treatment Ingredients.

Kristen Nunn, Sofia Vallila-Rohter, Erica L Middleton

Open access · greenAbstract readScoping Review
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Cognitive Functions Supporting Learning Over Time in Naming Treatment for Aphasia.Journal of speech, language, and hearing research : JSLHR · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. 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 at 1 institution in 1 country.

Kristen NunnDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA.ORCID 0000-0002-9562-7185
Sofia Vallila-RohterDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA.
Erica L MiddletonResearch Department, Moss Rehabilitation Research Institute, Elkins Park, PA.
Google (United States) · US

Funding

Retrieval Practice Principles: A Theory of Learning for Aphasia RehabilitationR01DC015516 · NIDCD · THOMAS JEFFERSON UNIVERSITY · PI Erica Lee Middleton · 2017 to 2026
$4.9M
Determining the implicit and rule-based learning ability of individuals with aphasia to better align learning ability and interventionR21DC019203 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI ROHTER, SOFIA VALLILA · 2021 to 2023
$480k
NIDCD NIH HHS R01 DC015516NIDCD NIH HHS R21 DC019203
6 · The paper itself

Abstract

purposeIncreasingly, mechanisms of learning are being considered during aphasia rehabilitation. Well-characterized learning mechanisms can inform "how" interventions should be administered to maximize the acquisition and retention of treatment gains. This systematic scoping review mapped hypothesized mechanisms of action (MoAs) and treatment ingredients in three learning-based approaches targeting naming in aphasia: errorless learning (ELess), errorful learning (EFul), and retrieval practice (RP). The rehabilitation treatment specification system was leveraged to describe available literature and identify knowledge gaps within a unified framework.

methodPubMed and CINHAL were searched for studies that compared ELess, EFul, and/or RP for naming in aphasia. Independent reviewers extracted data on proposed MoAs, treatment ingredients, and outcomes.

resultsTwelve studies compared ELess and EFul, six studies compared ELess and RP, and one study compared RP and EFul. Hebbian learning, gated Hebbian learning, effortful retrieval, and models of incremental learning via lexical access were proposed as MoAs. To maximize treatment outcomes within theorized MoAs, researchers manipulated study ingredients including cues, scheduling, and feedback. Outcomes in comparative effectiveness studies were examined to identify ingredients that may influence learning. Individual-level variables, such as cognitive and linguistic abilities, may affect treatment response; however, findings were inconsistent across studies.

conclusionsSignificant knowledge gaps were identified and include (a) which MoAs operate during ELess, EFul, and RP; (b) which ingredients are active and engage specific MoAs; and (c) how individual-level variables may drive treatment administration. Theory-driven research can support or refute MoAs and active ingredients enabling clinicians to modify treatments within theoretical frameworks.

Indexed as

AphasiaLearningCuesHumansTreatment Outcome

Identifiers

PMID36729701
PMCPMC10023178
OpenAlexW4318932118

What OpenQuestion holds

Textmetadata
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.