Retrieval of verbs from the lexicon in people with aphasia: an information-theoretic approach.

Retrieval of verbs from the lexicon in people with aphasia: an information-theoretic approach. - Lexical retrieval of verbs in aphasia.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON34988

Enrollment

Registered

2010-06-16

Start date

2010-11-01

Completion date

Unknown

Last updated

2024-05-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

afasie door CVA aphasia language disorder due to stroke

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: Voor de afasiegroepen: A Patients with a single CVA in the left hemisphere B Aged over 18 and no loss of mental capacity C Language disorder due to CVA D At least 3 months post onset E Hearing within normal range F Native Dutch speakers;For the control group: A Healthy men and women B Native speakers of Dutch C Older than 18 D righthanded Matched on a 1 to 1 basis to the participants with aphasia. Matching by: A Age B Gender C years of education

Exclusion criteria

Exclusion criteria: Participants with aphasia: A History of speech and or language disorders prior to stroke B Severe attention difficulties C Global aphasia D Neglect, hemianopsia or other cortical visual impairments E Verbal dyspraxia Healthy control partipants: A. A history of speech and/or language difficulties

Design outcomes

Primary

Measure	Time frame
Reaction times and error rates in the 3 experiments will be analysed using a logistic regression model. Factors will be regularity and tense. Coefficients will be: frequency, number of synsets, information load and inflectional entropy. This way we want to investigate to what extend frequency, synsets, information load and inflectional entropy have an effect on reaction times and error rates and whether this is different for regular verbs or irregular verbs and present or past tense verbs.	—

Measure

Time frame

Reaction times and error rates in the 3 experiments will be analysed using a logistic regression model. Factors will be regularity and tense. Coefficients will be: frequency, number of synsets, information load and inflectional entropy. This way we want to investigate to what extend frequency, synsets, information load and inflectional entropy have an effect on reaction times and error rates and whether this is different for regular verbs or irregular verbs and present or past tense verbs.

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Secondary

Measure	Time frame
-	—

Countries

Netherlands

Outcome results