With this study, the investigators want to investigate whether computerized speech analysis can be used to reliably and objectively detect motor, emotional, and cognitive fluctuations in Parkinson's disease patients.
Parkinson's disease (PD) affects mobility (motor function), thought processes (cognition) and mood (emotion). The language is one of the most complex programs in humans. It contains information about mobility, thinking and mood at the same time. These three levels of agility, thinking and mood are subject to spontaneous fluctuations and can be influenced by external stimuli such as pictures that induce emotions. In addition, these three levels are influenced on the one hand by Parkinson's disease itself, and on the other hand by its treatment with medication or with deep brain stimulation (DBS). For this reason, the investigators would like to investigate language in Parkinson's disease patients in a very detailed computerized way for motor, cognitive and emotional elements for better management of therapies. With this study, the investigators want to investigate whether computerized speech analysis can be used to reliably and objectively detect fluctuations in motor, mood, and thinking in Parkinson's disease patients. Even in healthy subjects, speech changes in a situational manner, due to which the investigators will also include healthy subjects as a control group.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
80
Experiment will be performed without dopaminergic medication
Turning off the stimulation during experiment
Experiment will be performed with dopaminergic medication
Czech Technical University Prague
Prague, Czechia
ACTIVE_NOT_RECRUITINGUniversity Hospital Inselspital, Berne
Bern, Switzerland
RECRUITINGPart I: Changes from baseline in best acoustic speech variables to detect changes of dopaminergic and stimulation motor effect in Parkinson's disease patients
A speech analyser software will allow extraction of basic motor acoustic speech features. The extracted variables that better index the dopaminergic medication or stimulation motor effect assessed with Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III - motor score \[0-132 pts.\] will be used as primary outcomes in this part. Higher scores in MDS-UPDRS part III means more severe motor symptoms.
Time frame: Visit 2 (< 3 months)
Part II: Changes from baseline in best acoustic and linguistic speech variables to detect changes of dopaminergic and stimulation neuropsychological effect in Parkinson's disease patients
A speech analyser software will allow extraction of basic acoustic speech features. For the linguistic domain several natural language variables will be extracted covering domains such as linguistic sense, coherence, and emotionality. The extracted variables that better index the dopaminergic medication or stimulation emotional effect assessed with Neuropsychiatric fluctuations scale (NFS) \[0-60 pts.\] will be used as primary outcomes in this part. Higher scores in NFS means more severe neuropsychiatric fluctuations.
Time frame: Visit 2 (< 3 months)
Part III: Changes from baseline in best acoustic and linguistic speech variables to detect changes of dopaminergic and stimulation cognitive effect in Parkinson's disease patients
A speech analyser software will allow extraction of basic acoustic speech features. For the linguistic domain several natural language variables will be extracted covering domains such as linguistic sense, coherence, and emotionality. The extracted variables that better index the dopaminergic medication or stimulation cognitive effect assessed with verbal fluency task will be used as primary outcomes in this part. Higher scores in Fluency task means better outcome.
Time frame: Visit 2 (< 3 months)
Part III: Changes from baseline in best acoustic and linguistic speech variables to detect changes of dopaminergic and stimulation cognitive effect in Parkinson's disease patients
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Experiment will be performed with stimulation (ON condition)
A speech analyser software will allow extraction of basic acoustic speech features. For the linguistic domain several natural language variables will be extracted covering domains such as linguistic sense, coherence, and emotionality. The extracted variables that better index the dopaminergic medication or stimulation cognitive effect assessed with Stroop test will be used as primary outcomes in this part. Higher scores in Stroop test means worse outcome.
Time frame: Visit 2 (< 3 months)
Dyskinesia severity
Score on Marconi dyskinesia rating scale \[0-28 pts.\]. Higher scores in Marconi dyskinesia rating scale means more severe dyskinesia.
Time frame: At visit 1 (baseline) and visit 2 (< 3 months)
Momentary mood state
Score on Visual Analogue Mood Scale (VAMS) \[0-100 pts.\]. Higher scores in VAMS means better mood.
Time frame: At visit 1 (baseline) and visit 2 (< 3 months)
Momentary anxiety state
Score on Visual Analogue Anxiety Scale (VAAS) \[0-100 pts.\]. Higher scores in VAAS means more anxiety.
Time frame: At visit 1 (baseline) and visit 2 (< 3 months)
Bradyphrenia assessment
Score on Bradyphrenia scale \[0-72 pts.\]. Higher scores in Bradyphrenia scale means more severe bradyphrenia.
Time frame: At visit 1 (baseline) and visit 2 (< 3 months)