Electrophysiological auditory responses and language development in infants with periventricular leukomalacia

被引:7
作者
Avecilla-Ramirez, G. N. [1 ]
Ruiz-Correa, S. [2 ]
Marroquin, J. L. [2 ]
Harmony, T. [1 ]
Alba, A. [3 ]
Mendoza-Montoya, O. [2 ]
机构
[1] Univ Nacl Autonoma Mexico, Inst Neurobiol, Unidad Invest Neurodesarrollo, Dept Neurobiol Conductual & Cognit, Queretaro 76230, Mexico
[2] Ctr Math Res CIMAT, Dept Comp Sci, Guanajuato 36080, Gto, Mexico
[3] Univ Autonoma San Luis Potosi, Fac Ciencias, San Luis Potosi 78290, Slp, Mexico
关键词
Event-induced EEG responses; Periventricular leukomalacia; Language development; CDI McArthur; Infants; EVENT-RELATED POTENTIALS; PRETERM INFANTS; MISMATCH NEGATIVITY; COGNITIVE DEFICITS; BRAIN-INJURY; CHILDREN; PERCEPTION; SPEECH; DISCRIMINATION; HABITUATION;
D O I
10.1016/j.bandl.2011.06.002
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
This study presents evidence suggesting that electrophysiological responses to language-related auditory stimuli recorded at 46 weeks postconceptional age (PCA) are associated with language development, particularly in infants with periventricular leukomalacia (PVL). In order to investigate this hypothesis, electrophysiological responses to a set of auditory stimuli consisting of series of syllables and tones were recorded from a population of infants with PVL at 46 weeks PCA. A communicative development inventory (i.e., parent report) was applied to this population during a follow-up study performed at 14 months of age. The results of this later test were analyzed with a statistical clustering procedure, which resulted in two well-defined groups identified as the high-score (HS) and low-score (LS) groups. The event-induced power of the EEG data recorded at 46 weeks PCA was analyzed using a dimensionality reduction approach, resulting in a new set of descriptive variables. The LS and HS groups formed well-separated clusters in the space spanned by these descriptive variables, which can therefore be used to predict whether a new subject will belong to either of these groups. A predictive classification rate of 80% was obtained by using a linear classifier that was trained with a leave-one-out cross-validation technique. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:175 / 183
页数:9
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