The psychometric properties of the figure-of-eight walk test in people with Parkinson's disease.

Purpose: To investigate: (1) the interrater, and test-retest reliability of the figure-of-eight walk test (F8WT) in people with Parkinson's disease (PwPD); (2) the minimum detectable change in the F8WT times; (3) the concurrent and known-groups validity of the F8WT times; and (4) the cut-off times that best discriminate PwPD from healthy people and fallers from non-fallers with PD.

Methods: This was a cross-sectional study. Forty-three PwPD and 34 healthy people were recruited.

Turkish Standardization of Movement Disorders Society Unified Parkinson's Disease Rating Scale and Unified Dyskinesia Rating Scale.

Background: Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and Unified Dyskinesia Rating Scale (UDysRS) were developed as standard tools to rate Parkinson's disease (PD) and drug-induced dyskinesias of PD. As these scales have become widely used, there is a need for translation to non-English languages. Here we present the standardization for the Turkish translations.

Brain 18F-FDG PET imaging in the differential diagnosis of parkinsonism.

Aim: The aims in this study were to evaluate the role of brain F-FDG PET imaging in differential diagnosis of parkinsonism and to correlate brain metabolism findings with patients' clinical findings.

Methods: Brain F-FDG PET images were evaluated both visually and quantitatively using the NeuroQ software in 21 parkinsonism patients in whom final clinical diagnoses were established.

Results: Final clinical diagnoses were idiopathic Parkinson disease in 7, multisystem atrophy (MSA) in 7, progressive supranuclear palsy (PSP) in 4, corticobasal degeneration in 2, and Lewy body disease in 1 patient.

Detection of EEG background abnormalities in epilepsy by a new spectral index.

Objective: In epileptic disorders, EEG background activity is disorganized in or near the epileptogenic focus and spectral EEG analysis (SEA) can provide useful information about the focus. We tried to develop a new spectral index from basic spectral parameters to detect the epileptic abnormalities at EEG background activity.

Methods: A new spectral EEG index, epileptic abnormality index (EAI), was constructed from frequency band power and power asymmetry parameters.