Detection of discontinuous patterns in spontaneous brain activity of neonates and fetuses.
The discontinuous patterns in neonatal magnetoencephalographic (MEG) data are quantified with a novel Hilbert phase (HP) based approach. The expert neurologists' scores were used as the gold standard. The performance of this approach was analyzed using a receiver operating characteristic (ROC) curve, and it was compared with two other approaches, namely spectral ratio (SR) and discrete wavelet transform (DWT) that have been proposed for the detection of discontinuous patterns in neonatal EEG. The area under the ROC curve (AUC) was used as a performance measure. AUCs obtained for SR, HP, and DWT were 0.87, 0.80, and 0.56, respectively. Although the performance of HP was lower than SR, it carries information about the frequency content of the signal that helps to distinguish brain patterns from artifacts such as cardiac residuals. Based on this property, the HP approach was extended to fetal MEG data. Further, using the frequency property of the HP approach, burst duration and interburst interval were computed for the discontinuous patterns detected and they are in agreement with reported values.
Vairavan
Srinivasan
S
Graduate Institute of Technology, University of Arkansas at Little Rock, Little Rock, AR 72204, USA. sxvairavan@ualr.edu
Eswaran
Hari
H
Haddad
Naim
N
Rose
Douglas F
DF
Preissl
Hubert
H
Wilson
James D
JD
Lowery
Curtis L
CL
Govindan
Rathinaswamy B
RB
D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D001683:Biological Clocks / Q000502:physiology*; D001921:Brain / Q000196:embryology* / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D015225:Magnetoencephalography / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*
Dev Psychobiol. 1997 Nov;31(3):167-74
9386918
Clin Neurophysiol. 2006 Feb;117(2):289-94
16414000
Clin Neurophysiol. 2001 Oct;112(10):1893-900
11595149
J Neurophysiol. 2007 May;97(5):3219-28
17344375
Clin Neurophysiol. 2007 Sep;118(9):1940-6
17638586
Exp Neurol. 1969 Dec;25(4):575-84
4243503
Semin Pediatr Neurol. 1996 Mar;3(1):2-12
8795836
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Oct;80(4 Pt 2):046213
19905421