At the Department of Neurology, University Clinic of Salzburg, 160 patients were diagnosed with either AD, MCI, or SCC, based on neuropsychological diagnostics. This data set contains z-scores for brain rate and Hjorth complexity, each measured at frontal, temporal and central electrode positions and averaged across hemispheres. In addition to standardization, complexity values were multiplied by -1 in order to make them more easily comparable to brain rate values: For brain rate we know that the values decrease with age and pathology, while Hjorth complexity values are known to increase with age and pathology. The three between-subjects factors considered were sex (men vs. women), diagnosis (AD vs. MCI vs. SCC), and age (\(< 70\) vs. \(>= 70\) years). Additionally, the within-subjects factors region (frontal, temporal, central) and feature (brain rate, complexity) structure the response vector.
data(EEGwide)A data frame with 160 rows and 9 variables:
EEG measurements for brainrate in temporal regions
EEG measurements for brainrate in frontal regions
EEG measurements for brainrate in central regions
EEG measurements for complexity in temporal regions
EEG measurements for complexity in frontal regions
EEG measurements for complexity in central regions
sex of the patient
age of the patient
neuropsychological diagnosis, AD for Alzheimer's Disease, MCI for mild cognitive impairment or SCC for subjective cognitive complaints without clinically significant deficits
categorized age, coded as 0 for less than 70 years and 1 for \(>= 70\) years
Note that this data set contains exactly the same data as the data set 'EEG', only the format is different. The
transformation between the different formats can be achieved using, e.g., the tidyr package.