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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
J Pediatr. Author manuscript; available in PMC Jun 23, 2011.
Published in final edited form as:
PMCID: PMC3121326
NIHMSID: NIHMS297415
Neurobehavioral Assessment Predicts Motor Outcome in Preterm Infants
Bonnie E Stephens, MD,1 Jing Liu, PhD,1,2 Barry Lester, PhD,1,2 Linda Lagasse, PhD,1,2 Seetha Shankaran, MD,2 Henrietta Bada, MD,2 Charles Bauer, MD,2 Abhik Das, PhD,2 and Rosemary Higgins, MD2
1 Department of Pediatrics, Alpert Brown Medical School, Providence, RI
2 Maternal Lifestyle Study (MLS) NICHD Neonatal Research Network, Bethesda, MD, United States
Corresponding Author: Bonnie E Stephens, MD, Women and Infants Hospital, 101 Dudley Street, Providence, RI 02905, Phone: 401-274-1122 x1238, Fax: 401-453-7571, bstephens/at/wihri.org
Objective
To determine whether Neonatal Intensive Care Unit Network Neurobehavior Scales (NNNS) at 44 weeks predict motor outcome at 2 years in preterm infants from the Maternal Lifestyles Study (MLS).
Study design
Data were collected on all preterm infants (<36 weeks) in the MLS who had an NNNS at 44 weeks (n=395) and neurologic exam at 12–36 months or Bayley Psychomotor Development Index (PDI) at 24 months (n=270). Logistic regression analyzed NNNS summary scores associated with Cerebral Palsy (CP) or PDI <70, while controlling for birth weight 1250g.
Results
Eighteen of 395 infants (5%) had CP; 24 of 270 infants (9%) had PDI <70. CP was associated with low quality of movement (OR 1.95, 95% CI 1.24–3.06, p=0.004) and high lethargy (OR 1.67, 95% CI 1.01–2.76, p=0.045). The model contributed 19% of the variance in CP diagnosis at 12–36 months (R2=0.19, p<0.001). Low PDI was associated with low handling (OR 1.83; 95% CI 1.12–2.99, p=0.017), low quality of movement (OR 2.16; 95%CI 1.38–3.38, p=0.001), and hypotonia (OR 1.63; 95% CI 1.14–2.32, p=0.007). The model contributed 26% of the variance in PDI <70 at 24 months (R2=0.26, p<0.001).
Conclusions
The neurobehavioral profile of underarousal in 44 week preterm infants may predict poor motor outcome.
Keywords: neurobehavior, outcomes, ELBW
Although the survival rate of extremely low birth weight (ELBW) infants is steadily improving, the incidence of disability in this patient population remains high.1 Approximately 12–21 percent develop cerebral palsy (CP)15 and 29–40% have Bayley Psychomotor Developmental Index (PDI) scores < 70 (< 2 standard deviations below the mean) at 18 months corrected age (CA).2, 4 These infants require multiple supports and interventions including physical and occupational therapy.6 Though multiple studies over the past two decades have identified some risk factors for poor motor outcome in this population,2, 5, 713 no reliable predictor has been identified.
Perhaps the most important predictor of CP or low motor score is the finding of abnormalities on neonatal cranial ultrasound. Multiple authors have reported a 2 to 6 fold increased risk of CP associated with Grade 3–4 intraventricular hemorrhage (IVH), 5, 1014 and a 3 to 10 fold increased risk of CP associated with cystic periventricular leukomalacia (PVL)5, 10, 11, 14. The presence of hydrocephalus may increase the risk by 12.2 times, 12 and the presence of PVL and hydrocephalus by 15.4 times.14 According to results from the Indomethacin trial, 60% of ELBW infants with grade 3–4 IVH had CP at 5 years of age and 92% required special services.15
Yet ultrasound, although helpful, lacks both sensitivity and specificity. In fact IVH grade has been shown to account for only 5% of the variance in predicting major handicap and 4% of the variance in predicting low PDI score.8 Additionally, 6–9% of ELBW infants who demonstrate no abnormalities on cranial ultrasound have CP at 18–22 months CA.7, 16 Magnetic resonance imaging (MRI) may be more predictive of neurodevelopmental outcomes in preterm infants than cranial ultrasound.17, 18 Even though MRI identifies more subtle white matter lesions than cranial ultrasound, it remains controversial whether MRI is superior in predicting outcomes.1922 In addition, MRI is expensive and impractical, requiring transportation and often sedation of the infant. Thus identification of those individual infants who will develop neurodevelopmental impairment and may benefit from intervention services remains flawed.
Neurologic or neurobehavioral assessment may be a more accurate way to predict outcome in ELBW infants.2325 The Neonatal Intensive Care Unit Network Neurobehavioral Scale (NNNS)26 is a standardized neurobehavioral assessment of the high-risk neonate. The NNNS summary scale is significantly correlated with the Bayley27 PDI at 12 months CA and specific NNNS motor function scores are significantly correlated with motor scales performed at 4 and 18 months in term neonates.28 Preterm infants perform differently than term infants on most NNNS Summary Scores29 and in preterm infants (≤30 weeks gestation). NNNS scores correlate with white matter abnormalities on MRI and may correlate with motor outcomes.30 No conclusive data exists correlating NNNS summary scores and future motor development in preterm infants.
The purpose of this study was to determine the relationship between NNNS Summary Scores at 44 weeks postconceptional age (PCA) and CP at 12–36 months or low PDI at 24 months, in a cohort of infants born <36 weeks gestation and enrolled in the Maternal Lifestyles Study (MLS), a study evaluating impact of maternal lifestyle during pregnancy on childhood outcome. We hypothesized that some NNNS Summary Scores from infants examined at 44 weeks PCA would be independently associated with the findings of CP at 12–36 months or low PDI at 24 months in infants born < 36 weeks from the MLS.
We analyzed data collected on all infants in the MLS born preterm (< 36 weeks gestation) who had an NNNS performed at 44 weeks PCA (n=395) and a neurologic exam at 12–36 months CA and/or Bayley Scales of Infant Development at 24 months CA (n=270).
The Neonatal Intensive Care Unit Network Neurobehavioral Scale (NNNS)26 was originally developed for the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network Maternal Lifestyles Study (MLS). It has been used extensively to evaluate infants with a history of in utero substance exposure, and NNNS scores have been related to prenatal drug exposure including cocaine31, 32 methamphetamine, 31, 33 marijuana 34 and tobacco, 35, 36 in term and preterm infants29 The NNNS was designed to provide a comprehensive assessment of neurologic integrity, behavioral functioning, and stress behavior. It has been validated in large groups of term and preterm infants. The neurologic examination includes assessment of active and passive tone, primitive reflexes, and items that assess the integrity of the central nervous system and maturity of the infant. The behavioral component is based on the Neonatal Behavioral Assessment Scale (NBAS)37 and includes assessment of state, sensory, and interactive responses. The stress component is a checklist of observations based on the work of Finnegan.38
The NNNS follows a fixed sequence of administration that starts with a preexamination observation, followed by the neurologic and behavioral components. The stress/abstinence scale is based on signs of stress observed throughout the examination. The NNNS items are scored using the following 13 summary scores: Habituation, Attention, Arousal, Regulation, Number of Handling Procedures, Quality of Movement, Excitability, Lethargy, Number of Nonoptimal Reflexes, Number of Asymmetric Reflexes, Hypertonicity, Hypotonicity, and Stress/Abstinence signs. Psychometric properties of the summary scales were evaluated with coefficient alphas ranging from .56 to .85.
The MLS is the largest clinical, prospective, longitudinal study to date of acute neonatal events and long-term health and developmental outcomes associated with cocaine use during pregnancy.31, 39 Enrollment and exclusion criteria for the MLS have been described in detail in previous publications.31, 39 The MLS study was approved by the Institutional Review Board at each study site and written informed consent was obtained for enrollment of each infant. Infants enrolled in the longitudinal phase of MLS were selected for the longitudinal phase to be in the exposed group (maternal report of cocaine or opiate use during pregnancy or gas chromatography-mass spectrometry confirmation of presumptive positive screens for cocaine or opiate metabolites) or the comparison group (maternal denial of cocaine or opiate use during the pregnancy and a negative enzyme multiplied immunoassay technique screen for cocaine and opiate metabolites). Exposed infants and comparison infants were matched on race, sex, and gestational age. The 1388 mother-infant dyads (658 in the exposed group and 730 in the comparison group) that came to the 1-month visit were enrolled in the longitudinal study. All 1388 infants were examined between 42 and 44 weeks’ postconceptional age by psychometrists certified on the NNNS examination and masked as to infant exposure status. The NNNS was completed on 1211 of these infants. Infants were then seen at 12, 24 and 36 month follow-up. At each visit a nurse administered a questionnaire to the caregiver to update the infant’s medical history since the last visit, and infants underwent a neurologic exam performed by physicians and nursese trained in the diagnosis of CP who were blinded to the infant’s perinatal history and exposure status. Examiners administered the mental and motor scales of the Bayley Scales of Infant Development, 2nd edition (BSID-II) at 24 months of age.40 Examiners were certified annually in their administration and scoring of these examinations.
Of the 1388 infants enrolled in the longitudinal phase of MLS, 454 were preterm (<36 weeks). 395 of these preterm infants had an NNNS completed at 44 weeks, and 270 participated in a BSID-II 24 months of age. Age of administration was corrected for prematurity.
Step forward logistic regression analyses were performed to examine the association between NNNS summary scores and outcome (CP at 12–36 months or PDI <70 at 24 months), while controlling for birth weight 1250g. All of the NNNS summary scores were normalized as z scores before entered into the model because of the large differences in scales and variances among these summary scores. The final model included only those variables significantly related to outcome. Criteria for entry into the model were p<0.05. Separate models were run for each outcome, one with and one without birth weight.
The cohort of 395 infants had a mean birth weight of 1782 (±618) grams (range 519–3390) and mean gestational age was 31.5 (± 3.3) weeks (range 21–35) (Table I). About half (N = 195, 49.4%) were male and half (179, 45.3%) were exposed to cocaine in utero. Of the 395 infants in the cohort, 85 (22%) had a birth weight 1250g and 70 (18%) were born small for gestational age (SGA).
Table 1
Table 1
Infant Characteristics
The majority of the mothers in this cohort (81%) was African-American, had only completed a high school education (60%), was Medicaid insured (81%), and was living below the poverty level (62%) (Table II). Infant and maternal characteristics of the subset of 270 infants seen at 2 years were similar to the characteristics of the entire cohort of 395.
Table 2
Table 2
Maternal Characteristics
Of the 395 infants who returned for a neurologic exam between 12 and 36 months of age, 18 (5%) were diagnosed with cerebral palsy. Of the 270 who returned at 24 months for a BSID-II, 24 (9%) had a PDI score < 70 (> 2 standard deviations below the mean) which was consistent with severe delays in motor development.
The 4 step forward logistic regression models run to predict CP and PDI <70 are shown in Tables III and andIV.IV. Table III depicts the models run to predict CP or PDI <70 without the addition of birth weight. Table IV depicts the models run to predict CP or PDI <70 while controlling for birth weight. Three NNNS Summary Scores, low Handling score, low Movement score, and high Lethargy score, were significantly related to CP diagnosis (Table III) Each variable had an associated 2 fold increase in the risk of CP at 12–36 months. This model accounts for 14% of the variance in diagnosis of CP. When birth weight was entered into the model (Table IV), only low Movement score and high Lethargy score remained significant predictors of CP. As expected, birth weight was associated with a 5.5 fold increased rate of CP. This model accounts for 19% of the variance in CP.
Table 3
Table 3
Results of Logistic Regression to Predict Cerebral Palsy and PDI < 70 at 24 months
Table 4
Table 4
Results of Logistic Regression to Predict Cerebral Palsy and PDI < 70 at 24 months with Birth Weight in the Model
Tables III and andIVIV also depict the step forward logistic regression models to predict PDI < 70 at 24 months. Low Handling score, low Movement score, Hypotonia and high State Stress score were each associated with low PDI at 24 months (Table III). This model accounts for 19% of the variance in low PDI score. However, when birth weight was entered into the model (Table IV), only low Handling score, low Movement score, and Hypotonia remained significant predictors of low PDI score. Birth weight also resulted in an almost 6 fold increased rate of low PDI score. This model accounts for 26% of the variance in low PDI score.
In these models, 19% of the variance in CP at 12–36 months and 26% of the variance in low PDI at 24 months is explained by specific NNNS summary scores and low birth weight. A combination of NNNS summary scores explains 2–3 times more of the variance in motor outcome than low birth weight.
Multiple investigators have attempted to identify predictors for CP and poor motor outcome in preterm infants. Low birth weight has been identified as perhaps the most important contributor to neurologic and motor outcomes in multiple previous publications. Other factors associated with poor motor outcomes include sociodemographic (maternal education < 12th grade, 5, 8, 10 Medicaid enrollment11), biologic (male sex, plurality, low birth weight),5, 7, 10 perinatal (prolonged premature rupture of membranes, maternal bleeding, chorioamnionitis, delivery at a hospital with a Level 1 nursery only), 13 neonatal (5 minute Apgar, 5, 12 bronchopulmonary dysplasia (BPD), 2, 5, 712 postnatal Steroids, 2, 5, 10, 11 necrotizing enterocolitis, 2 infection, 5, 13 pneumothorax, 7, 13 seizures, 13 hydrocephalus 12).
Though risk factors for poor neurologic outcome have been identified, attempts to predict neurologic morbidity based on identifiable risk factors has proven largely unsuccessful. Several investigators have used univariate and/or multiple logistic regression analyses to identify a combination of important predictors for CP or poor motor outcome.4, 12, 13, 41 Ambalavanan used both regression analysis and neural networks to attempt to predict a Bayley PDI < 68 at 12–18 months corrected age using perinatal and neonatal characteristics. Less than 15% of the variance in low PDI was explained by IVH grade, PVL, BPD, chorioamnionitis, and low maternal education.8
Although abnormalities on neuroimaging are important in identifying infants at risk for abnormal neurologic outcomes in preterm infants, both cranial ultrasound and MRI are flawed in their predictive abilities.2022 Evidence suggests that MRI is superior to ultrasound in identifying white matter abnormalities, but the significance of these findings is not clear. The largest study to date of MRI and neurodevelopmental impairment found that 22% of preterm infants with no or mild white matter injury on MRI at term equivalent have neurodevelopmental impairment at 2 years of age, and 50% of preterm infants with moderate to severe white matter injury at term equivalent have no neurodevelopmental impairment at 2 years.22
Neurologic or neurobehavioral assessment has been studied as a potentially more accurate way to predict outcome in ELBW infants. In 1997 Prechtl reported high sensitivity (95%) and specificity (96%) of one hour of videotaped spontaneous movements in predicting 2 year neurologic outcome in a cohort of term and preterm infants with fidgety movements.25 More recently, Garcia demonstrated less positive results.42 In their cohort of 40 preterm infants, 20 minute videotaped observations of gross motor movements varied in accuracy for predicting abnormal neurologic outcome by timing of exam (prior to 37 weeks adjusted age, 37–42 weeks adjusted age, and >42 weeks adjusted age). Sensitivity ranges from 75–100%, specificity from 44–67%, positive predictive value from 36–60% and negative predictive value from 80–100%.
Spittle et al described a significant correlation between videotaped assessments of general movements at 1 and 3 months post-term and white matter abnormalities on MRI at term equivalent,43 but no data from neurologic follow-up of these infants was reported.
The Neurobehavioral Assessment of the Preterm Infant (NAPI) was used to predict outcome at 12, 18 and 30 months corrected age.23, 24 Infants who went on to diagnosis of CP had lower NAPI scores for alertness and orientation at 36 weeks but no difference in NAPI motor scores compared with infants without CP. The association between NAPI score and poor motor outcome as measured by low PDI score was not explored.
Several authors have described the neurobehavioral assessment of the preterm infant using various neurobehavioral assessment tools.4449 Miller-Loncar et al described an association between NNNS summary scores, Bayley27 PDI at 12 months and Motor scales performed at 4 and 18 months in term neonates.28 Brown et al described significant differences in NNNS summary scores between term and preterm infants.29 In an unpublished study of a small group of preterm infants NNNS scores were associated with white matter abnormalities on MRI and motor outcomes at 24 months.30
This study demonstrated an association between neurobehavioral assessment using the NNNS and poor motor outcome at 24 months as defined by PDI <70 and /or CP in a large cohort of preterm infants. Specific summary scores were identified in these models as significant predictors of poor motor outcome (CP and /or low PDI) at 12–36 months. These summary scores, low movement, high lethargy, low handling, and hypotonia, describe an infant with significant underarousal.
As the original MLS Study was designed to look at the effects of prenatal cocaine exposure, a large number of infants in this study were exposed to cocaine (and other substances) in utero. It is not clear whether these results will generalize to all preterm infants, the majority of whom are not exposed to these substances in utero. In addition, our follow-up rate was low as only 68% of the infants in our cohort had a Bayley at 24 months. Thus further prospective work is needed to determine the predictive ability of the NNNS for all preterm infants.
Neonatal correlates to cerebral palsy have long been known and frequently involve a clinical picture of decreased tone and/or movement.50 Thus the association between performance on the NNNS, a comprehensive assessment of neurologic integrity, behavioral functioning, and stress behavior, and cerebral palsy is not surprising. These findings imply that neurobehavioral assessment can and should be added to our assessment of risk for poor motor outcome in all preterm infants. Findings of underarousal on the NNNS at term equivalent provide additional information about the risk of poor motor outcome. The addition of these findings to those of chronic lung disease, intraventricular hemorrhage and periventricular leukomalacia will increase our ability to predict cerebral palsy and improve our ability to counsel families of preterm and low birth weight infants.
Acknowledgments
Supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal Lifestyles Study. Presented in part at the annual meeting of the Society for Pediatric Research, May, 2007, Toronto, Canada. The authors declare no conflicts of interest.
Abbreviations
ELBWExtremely low birth weight
CPCerebral palsy
PDIPsychomotor development index
CACorrected age
IVHIntraventricular hemorrhage
PVLPeriventricular leukomalacia
MRIMagnetic resonance imaging
NNNSNeonatal Intensive Care Unit Network Neurobehavioral Scale
PCAPostconceptional age
MLSMaternal Lifestyles Study
NBASNeonatal Behavioral Assessment Scale
BSID-IIBayley Scales of Infant Development, 2nd edition
SGASmall for gestational age
BPDBronchopulmonary dysplasia
NAPINeurobehavioral Assessment of the Preterm Infant

Footnotes
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1. Hack M, Fanaroff AA. Outcomes of children of extremely low birthweight and gestational age in the 1990s. Semin Neonatol. 2000;5:89–106. [PubMed]
2. Vohr BR, Wright LL, Dusick AM, Mele L, Verter J, Steichen JJ, et al. Neurodevelopmental and functional outcomes of extremely low birth weight infants in the National Institute of Child Health and Human Development Neonatal Research Network, 1993–1994. Pediatrics. 2000;105:1216–26. [PubMed]
3. Wood NS, Marlow N, Costeloe K, Gibson AT, Wilkinson AR. Neurologic and developmental disability after extremely preterm birth. EPICure Study Group. N Engl J Med. 2000;343:378–84. [PubMed]
4. Hack M, Wilson-Costello D, Friedman H, Taylor GH, Schluchter M, Fanaroff AA. Neurodevelopment and predictors of outcomes of children with birth weights of less than 1000 g: 1992–1995. Arch Pediatr Adolesc Med. 2000;154:725–31. [PubMed]
5. Hintz SR, Kendrick DE, Vohr BR, Poole WK, Higgins RD. Changes in neurodevelopmental outcomes at 18 to 22 months' corrected age among infants of less than 25 weeks' gestational age born in 1993–1999. Pediatrics. 2005;115:1645–51. [PubMed]
6. Vohr BR, Allan WC, Westerveld M, Schneider KC, Katz KH, Makuch RW, et al. School-age outcomes of very low birth weight infants in the indomethacin intraventricular hemorrhage prevention trial. Pediatrics. 2003;111:e340–6. [PubMed]
7. Laptook AR, O'Shea TM, Shankaran S, Bhaskar B. Adverse neurodevelopmental outcomes among extremely low birth weight infants with a normal head ultrasound: prevalence and antecedents. Pediatrics. 2005;115:673–80. [PubMed]
8. Ambalavanan N, Nelson KG, Alexander G, Johnson SE, Biasini F, Carlo WA. Prediction of neurologic morbidity in extremely low birth weight infants. J Perinatol. 2000;20:496–503. [PubMed]
9. Singer L, Yamashita T, Lilien L, Collin M, Baley J. A longitudinal study of developmental outcome of infants with bronchopulmonary dysplasia and very low birth weight. Pediatrics. 1997;100:987–93. [PubMed]
10. Vohr BR, Wright LL, Poole WK, McDonald SA. Neurodevelopmental outcomes of extremely low birth weight infants <32 weeks' gestation between 1993 and 1998. Pediatrics. 2005;116:635–43. [PubMed]
11. Shankaran S, Johnson Y, Langer JC, Vohr BR, Fanaroff AA, Wright LL, et al. Outcome of extremely-low-birth-weight infants at highest risk: gestational age < or =24 weeks, birth weight < or =750 g, and 1-minute Apgar < or =3. Am J Obstet Gynecol. 2004;191:1084–91. [PubMed]
12. Msall ME, Buck GM, Rogers BT, Merke D, Catanzaro NL, Zorn WA. Risk factors for major neurodevelopmental impairments and need for special education resources in extremely premature infants. J Pediatr. 1991;119:606–14. [PubMed]
13. Grether JK, Nelson KB, Emery ES, 3rd, Cummins SK. Prenatal and perinatal factors and cerebral palsy in very low birth weight infants. J Pediatr. 1996;128:407–14. [PubMed]
14. Ment LR, Bada HS, Barnes P, Grant PE, Hirtz D, Papile LA, et al. Practice parameter: neuroimaging of the neonate: report of the Quality Standards Subcommittee of the American Academy of Neurology and the Practice Committee of the Child Neurology Society. Neurology. 2002;58:1726–38. [PubMed]
15. Ment LR, Allan WC, Makuch RW, Vohr B. Grade 3 to 4 intraventricular hemorrhage and Bayley scores predict outcome. Pediatrics. 2005;116:1597–8. author reply 8. [PubMed]
16. Aziz K, Vickar DB, Sauve RS, Etches PC, Pain KS, Robertson CM. Province-based study of neurologic disability of children weighing 500 through 1249 grams at birth in relation to neonatal cerebral ultrasound findings. Pediatrics. 1995;95:837–44. [PubMed]
17. Woodward TS, Meier B, Cairo TA, Ngan ET. Temporo-prefrontal coordination increases when semantic associations are strongly encoded. Neuropsychologia. 2006;44:2308–14. [PubMed]
18. Inder TE, Warfield SK, Wang H, Huppi PS, Volpe JJ. Abnormal cerebral structure is present at term in premature infants. Pediatrics. 2005;115:286–94. [PubMed]
19. Dammann O, Leviton A. Neuroimaging and the prediction of outcomes in preterm infants. N Engl J Med. 2006;355:727–9. [PubMed]
20. Hintz SR, O'Shea M. Neuroimaging and neurodevelopmental outcomes in preterm infants. Semin Perinatol. 2008;32:11–9. [PubMed]
21. Mirmiran M, Barnes PD, Keller K, Constantinou JC, Fleisher BE, Hintz SR, et al. Neonatal brain magnetic resonance imaging before discharge is better than serial cranial ultrasound in predicting cerebral palsy in very low birth weight preterm infants. Pediatrics. 2004;114:992–8. [PubMed]
22. Woodward LJ, Anderson PJ, Austin NC, Howard K, Inder TE. Neonatal MRI to predict neurodevelopmental outcomes in preterm infants. N Engl J Med. 2006;355:685–94. [PubMed]
23. Constantinou JC, Adamson-Macedo EN, Mirmiran M, Ariagno RL, Fleisher BE. Neurobehavioral assessment predicts differential outcome between VLBW and ELBW preterm infants. J Perinatol. 2005;25:788–93. [PubMed]
24. Constantinou JC, Adamson-Macedo EN, Mirmiran M, Fleisher BE. Movement, imaging and neurobehavioral assessment as predictors of cerebral palsy in preterm infants. J Perinatol. 2007;27:225–9. [PubMed]
25. Prechtl HF, Einspieler C, Cioni G, Bos AF, Ferrari F, Sontheimer D. An early marker for neurological deficits after perinatal brain lesions. Lancet. 1997;349:1361–3. [PubMed]
26. Lester BM, Tronick EZ. The Neonatal Intensive Care Unit Network Neurobehavioral Scale (NNNS) Pediatrics. 2004;113:631–99. [PubMed]
27. Bayley N. Bayley Scales of Infant Development. 3. San Antonio, TX: Psychological Corporation; 2006.
28. Miller-Loncar C, Lester BM, Seifer R, Lagasse LL, Bauer CR, Shankaran S, et al. Predictors of motor development in children prenatally exposed to cocaine. Neurotoxicol Teratol. 2005;27:213–20. [PubMed]
29. Brown NC, Doyle LW, Bear MJ, Inder TE. Alterations in neurobehavior at term reflect differing perinatal exposures in very preterm infants. Pediatrics. 2006;118:2461–71. [PubMed]
30. Brown NC, Anderson PJ, Howard K, Bear MJ, Wang H, Hunt RW, et al. Clinical Validity of Early Neurobehavioural Assessments of Very Preterm Infants [abstract] E-PAS2004:3304.
31. Lester BM, Tronick EZ, LaGasse L, Seifer R, Bauer CR, Shankaran S, et al. The maternal lifestyle study: effects of substance exposure during pregnancy on neurodevelopmental outcome in 1-month-old infants. Pediatrics. 2002;110:1182–92. [PubMed]
32. Napiorkowski B, Lester B, Freier C, Brunner S, Dietz L, Nadra A, et al. Effects of in utero substance exposure on infant neurobehavior. Pediatrics. 1996;98:71–5. [PubMed]
33. Singer L. MDMA Use During Pregnancy and Early Infant Outcomes. Annual meeting of the XVth Biennial International Conference on Infant Studies; Kyoto, Japan. June 19th 2006.
34. Carvalho de Moraes Barros M, Guinsburg R, de Araujo Peres C, Mitsuhiro S, Chalem E, Laranjeira R. Exposure to marijuana during pregnancy alters neurobehavior in the early neonatal period. The Journal of Pediatrics. 2006;149:781–7. [PubMed]
35. Law KL, Stroud LR, LaGasse LL, Niaura R, Liu J, Lester BM. Smoking during pregnancy and newborn neurobehavior. Pediatrics. 2003;111:1318–23. [PubMed]
36. Stroud LR, Paster RL, Papandonatos GD, Niaura R, Salisbury AL, Battle C, et al. Maternal Smoking during Pregnancy and Newborn Neurobehavior: Effects at 10 to 27 Days. J Pediatr. 2008 [PMC free article] [PubMed]
37. Brazelton TB. Neonatal Behavioral Assessment Scale. Philadelphia: JB Lippincott; 1973.
38. Finnegan LP. Neonatal abstinence syndrome: assessment and pharmacotherapy. New York: Excerpta Medica; 1986.
39. Lester BM. The Maternal Lifestyles Study. Ann N Y Acad Sci. 1998;846:296–305. [PubMed]
40. Bayley N. Bayley Scales of Infant Development-II. San Antonio, TX: Psychological Corporation; 1993.
41. Allan WC, Vohr B, Makuch RW, Katz KH, Ment LR. Antecedents of cerebral palsy in a multicenter trial of indomethacin for intraventricular hemorrhage. Arch Pediatr Adolesc Med. 1997;151:580–5. [PubMed]
42. Garcia JM, Gherpelli JL, Leone CR. The role of spontaneous general movement assessment in the neurological outcome of cerebral lesions in preterm infants. J Pediatr (Rio J) 2004;80:296–304. [PubMed]
43. Spittle AJ, Brown NC, Doyle LW, Boyd RN, Hunt RW, Bear M, et al. Quality of general movements is related to white matter pathology in very preterm infants. Pediatrics. 2008;121:e1184–9. [PubMed]
44. Feldman R, Eidelman AI. Neonatal state organization, neuromaturation, mother-infant interaction, and cognitive development in small-for-gestational-age premature infants. Pediatrics. 2006;118:e869–78. [PubMed]
45. Korner AF, Constantinou J, Dimiceli S, Brown BW, Jr, Thom VA. Establishing the reliability and developmental validity of a neurobehavioral assessment for preterm infants: a methodological process. Child Dev. 1991;62:1200–8. [PubMed]
46. Majnemer A, Brownstein A, Kadanoff R, Shevell MI. A comparison of neurobehavioral performance of healthy term and low-risk preterm infants at term. Dev Med Child Neurol. 1992;34:417–24. [PubMed]
47. Majnemer A, Rosenblatt B, Riley PS. Influence of gestational age, birth weight, and asphyxia on neonatal neurobehavioral performance. Pediatr Neurol. 1993;9:181–6. [PubMed]
48. Mouradian LE, Als H, Coster WJ. Neurobehavioral functioning of healthy preterm infants of varying gestational ages. J Dev Behav Pediatr. 2000;21:408–16. [PubMed]
49. Wolf MJ, Koldewijn K, Beelen A, Smit B, Hedlund R, de Groot IJ. Neurobehavioral and developmental profile of very low birthweight preterm infants in early infancy. Acta Paediatr. 2002;91:930–8. [PubMed]
50. Volpe JJ. Neurology of the Newborn. 5. Philadelphia, PA: Saunders Elsevier; 2008.