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Table 1 Demographic characteristics for patients and healthy controls

From: Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes

  Number Age (years) Gender (female/male)
AD 72 66.67 (± 9.59) 39/33
bvFTD 146 61.68 (± 9.67) 53/93
CBS 26 65.96 (± 6.91) 15/11
lvPPA 30 67.33 (± 5.60) 13/17
MSA-C 21 63.05 (± 7.24) 11/10
MSA-P 60 63.29 (± 7.99) 38/22
nfvPPA 58 68.46 (± 8.32) 29/29
PD 203 64.08 (± 11.21) 135/68
PSP 154 69.03 (± 6.47) 82/72
svPPA 46 62.14 (± 8.31) 19/27
Healthy controls 124 63.71 (± 10.00) 60/64
  1. Data are reported as mean ± standard deviation
  2. Abbreviations: AD Alzheimer’s disease, bvFTD Behavioral variant frontotemporal dementia, CBS Corticobasal syndrome, lvPPA Logopenic variant primary progressive aphasia, MSA-C Multiple system atrophy (cerebellar dysfunction subtype), MSA-P Multiple system atrophy (parkinsonian subtype), nfvPPA Nonfluent variant primary progressive aphasia, PD Parkinson’s disease, PSP Progressive supranuclear palsy, svPPA Semantic variant primary progressive aphasia