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Record W7120611772

Speech and language therapy intervention in expressive aphasia

2018· dissertation· pt· W7120611772 on OpenAlexaboutno aff
Arieli Bastos da Silveira

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2018
Typedissertation
Languagept
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsnot available
Fundersnot available
KeywordsAphasiaIntervention (counseling)VocabularyNormativeRating scaleStroke (engine)Lateralization of brain functionNeuropsychologyLanguage impairment
DOInot available

Abstract

fetched live from OpenAlex

Aphasia is caused by focal cerebral lesion in the dominant hemisphere for language, which can affect communication, social functioning, and quality of life. Moreover, it can cause damages on communication in both oral and written modalities, expressive and/or comprehensive, such as anomie. The anomie is a disorder commonly found in expressive aphasic cases an among the several known therapeutic proposals, the model of word retrieval is a widely used method, since it stimulates the production of words at the level of vocabulary and syntactic organization. The aim of this research was to verify the effects of the therapeutic method of word retrieval in an individual with expressive aphasia. AL, male 47 years old, 8 years of schooling, presented two episodes of ischemic stroke in the left cerebral hemisphere. First, the sociocultural and health questionnaire was applied, and then were the following pre and post-therapy evaluations: Montreal-Toulouse Language Assessment Battery (MTL-BR Battery), Brief Neuropsychological Assessment Instrument (NEUPSILIN-Af), Mini-Mental State Examination (MMSE) and Functional Assessment Scale for Communication Skills (ASHA-FACS). The MTL-BR and NEUPSILIN-Af battery instruments were analyzed in a qualitative way, through the patient’s and/or relatives’ information through ASHA-FACS, and in a quantitative way, from the calculation of the Z score ≤ 1.50. The MMSE was analyzed from the total score obtained compared to the normative group. The evaluations were performed by a speech therapist with experience in aphasia evaluation and the therapy was conducted by the author of this study. Before the beginning of the intervention itself, an examination with 50 nouns and 50 verbs was applied to obtain data regarding post-interventional performance regarding the ability of naming. Fifteen word retrieval treatment sessions were assigned to the patient, twice a week, lasting 50 minutes each. After the treatment period, the pre- and post-intervention data of the examination and evaluations were compared, and it was found evolution in several linguistic and cognitive aspects of the individual, with emphasis on the tasks of speech, attention, memory, recall, calculation and also in items regarding aspects of the patient’s daily social communication. The therapeutic approach was effective for the presented case, due to the improvement of several linguistic and cognitive areas that were uncorrected, contributing to a significant improvement in the level of the existing deficit at the beginning of the intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.291
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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