Improving mobility and balance in Parkinson*s disease through circuit class training: Effects on clinical outcomes, posturography and brain connectivity

Improving mobility and balance in Parkinson*s disease through circuit class training: Effects on clinical outcomes, posturography and brain connectivity - IMPACT

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

NL-OMON

Registry ID

NL-OMON36463

Enrollment

Registered

2011-09-26

Start date

2011-11-07

Completion date

Unknown

Last updated

2024-04-29

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

Conditions

Parkinson's disease

Interventions

Patients will be assigned to one of two balance training groups and will convene in groups (~6 patients per session) during twice-weekly training sessions of one hour, for six weeks. Two types of ba

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1. Patient is diagnosed with Parkinson's Disease, stages II-III on the Hoehn and Yahr scale, and able to participate in all forms of therapy. 2. Patient*s medication is stable and remains unchanged during the study period. 3. Sufficient cognitive function (Mini Mental State Examination > 24)

Exclusion criteria

Exclusion criteria: 1. Presence of (other) neurological, orthopedic, or cardiopulmonary problems that can impair participation. 2. Any conditions that render the patient unable to understand or adhere to the protocol such as cognitive, visual, and/or language problems.

Design outcomes

Primary

Measure	Time frame
Functional Reach Test	—

Secondary

Measure	Time frame
Clinical outcome measures * Berg Balance Scale * Falls Efficacy Scale * 10 meter Walk Test * Parkinsons Disease Questionnaire Hospital Anxiety and Depression scale * Multidimensional Fatigue Inventory Posturography during quiet stance * Variability: COP standard deviation a. anterioposterior direction (SDCOP,x) b. mediolateral direction (SDCOP,y) * Local stability: maximum Lyapunov exponent * Regularity: sample entropy * Number of active control variables: correlation dimension * Correlations: scaling exponent EEG (plus MRI) * Source of activity / regions of interest (dipole fits / beamformers) * Spectral power changes (in particular motor-related beta- and alpha-power) * Intra- / inter-hemispheric synchronization (phase coherence, synchronization likelihood) * Topological changes of overall functional connectivity (sensor-based network estimates)	—

Measure

Time frame

Clinical outcome measures * Berg Balance Scale * Falls Efficacy Scale * 10 meter Walk Test * Parkinson*s Disease Questionnaire * Hospital Anxiety and Depression scale * Multidimensional Fatigue Inventory Posturography during quiet stance * Variability: COP standard deviation a. anterioposterior direction (SDCOP,x) b. mediolateral direction (SDCOP,y) * Local stability: maximum Lyapunov exponent * Regularity: sample entropy * Number of active control variables: correlation dimension * Correlations: scaling exponent EEG (plus MRI) * Source of activity / regions of interest (dipole fits / beamformers) * Spectral power changes (in particular motor-related beta- and alpha-power) * Intra- / inter-hemispheric synchronization (phase coherence, synchronization likelihood) * Topological changes of overall functional connectivity (sensor-based network estimates)

—

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)