Anticipation of coming events in Parkinson*s Disease and Friedreich Ataxia: is timing more disturbed than spatial prediction?

Anticipation of coming events in Parkinson*s Disease and Friedreich Ataxia: is timing more disturbed than spatial prediction? - timing and spatial prediction patients

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON30538

Enrollment

Registered

2007-01-29

Start date

2007-02-01

Completion date

Unknown

Last updated

2024-05-13

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

Conditions

movement disorders

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: parkinson UPDRS >10,

Exclusion criteria

Exclusion criteria: additional neurological or ophtalmological disease

Design outcomes

Primary

Measure	Time frame
Data analysis concerning the differences between timing and place prediction within and between groups will be performed with statistical programs (MS Excel, SPSS). Reaction times, responses rates, subject descriptives and questionnaire answers will be used for analysis. Differences between the performance in spatial and temporal conditions between patients and controls will be obtained by using a two way ANOVA analysis. Further analyses between groups and conditions will be performed using post hoc analyses. Co-variables e.g. age, sexe and disease severity, will be analysed using regression analysis. External data presentation will be anonymous.	—

Measure

Time frame

Data analysis concerning the differences between timing and place prediction within and between groups will be performed with statistical programs (MS Excel, SPSS). Reaction times, responses rates, subject descriptives and questionnaire answers will be used for analysis. Differences between the performance in spatial and temporal conditions between patients and controls will be obtained by using a two way ANOVA analysis. Further analyses between groups and conditions will be performed using post hoc analyses. Co-variables e.g. age, sexe and disease severity, will be analysed using regression analysis. External data presentation will be anonymous.

—

Secondary

Measure	Time frame
not relevant	—

Countries

Netherlands

Outcome results