Variability, regularity, and complexity of time series generated by schizophrenic patients and control subjects

We analyzed time series generated by 20 schizophrenic patients and 20 sex- and age-matched control subjects using three nonlinear methods of time series analysis as test statistics: central tendency measure (CTM) from the scatter plots of first differences of data, approximate entropy (ApEn), and Le...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2006-02, Vol.53 (2), p.210-218
Main Authors: Hornero, R., Abasolo, D., Jimeno, N., Sanchez, C.I., Poza, J., Aboy, M.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Algorithms
Approximate entropy
Biological Clocks
central tendency measure
Centralized control
Diagnosis, Computer-Assisted - methods
Diseases
Electroencephalography
Entropy
Female
Hand - physiopathology
Humans
Lempel-Ziv complexity
Male
Middle Aged
Movement
Oscillometry - methods
Physical Examination - methods
Psychology
Psychomotor Performance
random rhythms
Reproducibility of Results
schizophrenia
Schizophrenia - diagnosis
Schizophrenia - physiopathology
Sensitivity and Specificity
Statistical analysis
Studies
Telecommunications
Testing
Time Factors
Time measurement
Time series
Time series analysis
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Summary:We analyzed time series generated by 20 schizophrenic patients and 20 sex- and age-matched control subjects using three nonlinear methods of time series analysis as test statistics: central tendency measure (CTM) from the scatter plots of first differences of data, approximate entropy (ApEn), and Lempel-Ziv (LZ) complexity. We divided our data into a training set (10 patients and 10 control subjects) and a test set (10 patients and 10 control subjects). The training set was used for algorithm development and optimum threshold selection. Each method was assessed prospectively using the test dataset. We obtained 80% sensitivity and 90% specificity with LZ complexity, 90% sensitivity, and 60% specificity with ApEn, and 70% sensitivity and 70% specificity with CTM. Our results indicate that there exist differences in the ability to generate random time series between schizophrenic subjects and controls, as estimated by the CTM, ApEn, and LZ. This finding agrees with most previous results showing that schizophrenic patients are characterized by less complex neurobehavioral and neuropsychologic measurements.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2005.862547