title: Multichannel linear descriptors analysis for event-related EEG of vascular dementia patients during visual detection task.
abstract: OBJECTIVE
  Multichannel EEG recorded in a task condition could contain more information about cognition. However, that has not been widely investigated in the vascular-dementia (VaD)- related studies. The purpose of this study was to explore the differences of brain functional states between VaD patients and normal controls while performing a detection task.
  
  
  METHODS
  Three multichannel linear descriptors, i.e. spatial complexity (Ω), field strength (Σ) and frequency of field changes (Φ), were applied to analyse four frequency bands (delta, theta, alpha and beta) of multichannel event-related EEG signals for 12 VaD patients (mean age ± SD: 69.25 ± 10.56 years ; MMSE score ± SD: 22.58 ± 4.42) and 12 age-matched healthy subjects (mean age ± SD: 67.17 ± 5.97 years ; MMSE score ± SD: 29.08 ± 0.9). The correlations between the three measures and MMSE scores were also analysed.
  
  
  RESULTS
  VaD patients showed a significant higher Ω value in the delta (p = 0.013) and theta (p = 0.021) frequency bands, a lower Σ value (p = 0.011) and a higher Φ (p = 0.008) value in the delta frequency band compared with normal controls. The MMSE scores were negatively correlated with the Ω (r = -0.52, p = 0.01) and Φ (r = -0.47, p = 0.02) values in the delta frequency band.
  
  
  CONCLUSIONS
  The results indicated the VaD patients presented a reduction of synchronization in the slow frequency band during target detection, and suggested more neurons might be activated in VaD patients compared with normal controls. The Ω and Φ measures in the delta frequency band might be used to evaluate the degree of cognitive dysfunction.
  
  
  CONCLUSIONS
  The multichannel linear descriptors are promising measures to reveal the differences in brain functions between VaD patients and normal subjects, and could potentially be used to evaluate the degree of cognitive dysfunction in VaD patients.
authors.affiliation: Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
authors.forename: Wutao
authors.initials: W
authors.lastname: Lou
authors.forename: Jin
authors.initials: J
authors.lastname: Xu
authors.forename: Hengsong
authors.initials: H
authors.lastname: Sheng
authors.forename: Songzhen
authors.initials: S
authors.lastname: Zhao
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D058256:Brain Waves / Q000502:physiology; D015140:Dementia, Vascular / Q000175:diagnosis* / Q000503:physiopathology*; D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008960:Models, Psychological; D011597:Psychomotor Performance / Q000502:physiology*