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Research Article

Comparable Measures of Cognitive Function in Human Infants and Laboratory Animals to Identify Environmental Health Risks to Children

Carolyn Sharbaugh1, Susan Marie Viet1, Alexa Fraser1, Suzanne B. McMaster2

1 Westat, Rockville, Maryland, USA, 2 U.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory/Human Studies Division/Epidemiology and Biomarkers Branch, Research Triangle Park, North Carolina, USA

Abstract Top

The importance of including neurodevelopmental end points in environmental studies is clear. A validated measure of cognitive function in human infants that also has a homologous or parallel test in laboratory animal studies will provide a valuable approach for large-scale studies. Such a comparable test will allow researchers to observe the effect of environmental neurotoxicants in animals and relate those findings to humans. In this article, we present the results of a review of post-1990, peer-reviewed literature and current research examining measures of cognitive function that can be applied to both human infants (0-12 months old) and laboratory animals. We begin with a discussion of the definition of cognitive function and important considerations in cross-species research. We then describe identified comparable measures, providing a description of the test in human infants and animal subjects. Available information on test reliability, validity, and population norms, as well as test limitations and constraints, is also presented.

Impairment of cognitive function is a recognized primary outcome of exposure to developmental neurotoxicants, such as lead, methyl mercury, polychlorinated biphenyls (PCBs), and other chemicals. Efficient inclusion of this end point in environmental studies will rely on a validated measure of cognitive function in human infants that has a parallel test in laboratory animal studies. The identification of a comparable measure of cognitive function in human infant and animal studies will facilitate toxicology studies designed to evaluate mechanistic and dose-response aspects of effects observed in human infants.

In this article, we present the results of a review of post-1990, peer-reviewed literature examining measures of cognitive function that can be applied to both human infants (0-12 months old) and laboratory animals.

What Is Cognitive Function? Top

"Cognition" is vaguely defined as "the act or process of knowing, including both awareness and judgement" (Merriam-Webster On-Line: The Language Center 2003). Hence, it is important to define cognitive function in the context in which it is used. For this article, we define "cognitive function" as encompassing learning, memory, and attention processes (Cory-Slechta et al. 2001). "Learning" is classically defined as a relatively permanent behavior change as a result of practice or experience. When an infant or young animal responds in an adaptive way to a stimulus, learning (or information processing) has occurred (Fagen and Ohr 2001). "Memory" is then defined as the persistence of a learned behavior over time (U.S. EPA 1998). "Attention" refers to a global behavioral construct that includes numerous response classes such as impulsivity, sensitivity to delay, activity level, sustained attention, and ability to manage delay of reward (Bushnell 1998; Bushnell and Rice 1999; Cory-Slechta et al. 2001). In infants, attention research has focused on four areas of visual attention: alertness, spatial orienting, attention to object features, and endogenous or internally directed, attentional functions (e.g., attention span, perseverance, and distractibility; Colombo 2001).

Cross-Species Developmental Neurotoxicity Top

The adverse effects of developmental exposure to neurotoxicants on various cognitive functions can be assessed in both humans and animals. However, the degree to which specific assessment techniques are comparable across species can vary dramatically. The 1990 Workshop on Qualitative and Quantitative Comparability of Human and Animal Developmental Neurotoxicity (Stanton and Spear 1990), sponsored by the U.S. Environmental Protection Agency and the National Institute on Drug Abuse, proposed four criteria for evaluation of such animal models: a) Developmental profiles of functional capacity should resemble those found in humans; b) conceptual or operational similarities should exist between behavioral measures of those capacities in developing humans and animals; c) developmental profiles of neurobiologic changes should resemble those found in humans, particularly those that underlie the functional capacity in question; and d) treatments that alter neural or behavioral maturation in humans should cause similar alterations in the animal model.

Over the past decade, neurotoxicologists have directed considerable effort toward modeling human cognitive function in animals and applying animal cognitive function tests to humans (Adams et al. 2000; Anderson 2000; Paule 2001; Rice and Barone 2000). Examples include the following: a) The operant battery test (OTB) from the U.S. Food and Drug Administration's National Center for Toxicological Research (NCTR), used with laboratory rhesus monkeys, has been successfully applied to assessments in 6-year-olds (Paule et al. 1999a, 1999b; Slikker et al. 2000). Performance of children on money reinforcement (nickels) operant tests of motivation, color and position discrimination, learning, short-term memory, and time estimation were compared with standardized IQ (intelligence quotient) tests. Many tests in the OTB have also been adapted for use in rats (Mayorga et al. 2000a, 2000b). b) The Wisconsin General Testing Apparatus, radial-arm maze, and the Morris search apparatus, used to test cognitive function in nonhuman primates or rodents, have been successfully adapted for tests of toddlers and preschool children (Overman 1990; Overman and Bachevalier 2001; Overman et al. 1996a, 1996b). c) The well-studied Computer-Assisted Neurotoxicology Assessment Battery, developed for older children and adults, has also been applied to animal models (Fray and Robbins 1996).

The models presented above have not been applied in infants. Similar applications of tests in animals to the study of human infants present obvious obstacles. Human infants lack language, display poorly developed motor skills, and undergo a prolonged period of infancy. Nevertheless, a wide body of research in developmental psychology shows that infants, even newborns, learn, remember, and focus attention (Nelson and Luciana 2001). For risk assessment, the neurobehavioral assessment of infants presents two challenges (Bellinger 2002). First, the highly dynamic nature of early neurodevelopment presents a moving target, making it difficult to interpret apparent performance deficits in the absence of a baseline measure. Second, normal change over time is expected and must be distinguished from a deviation that may be triggered by neurotoxicant exposure.

Research in human infants has focused mainly on simple forms of learning such as habituation and classical conditioning, where the young infant's behavior is changed as a function of specific experience, and through which the memory store of the aging child is altered over successive life events (Lipsitt 1990). Operant learning tasks, in which the infant or animal must manipulate a specific part of their environment to receive a reinforcer, are possible only when the infant acquires sufficient motor skills for the task and thus are often limited to age 6 months and older.

Comparable Measures of Cognitive Function Top

Ultimately, neurobehavioral toxicologists seek a sensitive homologous or parallel test in human infants and laboratory animals that can distinguish normal subjects from those that have had an exposure to a neurotoxicant. Although tests of cognitive function can be performed in a variety of species and age groups, this review is limited to studies in rodents, nonhuman primates, and human infants (0-12 months old).

Table 1 presents an overview of tests described here, identified as either homologous or parallel for each species that has been studied. Homologous tests are those for which the same procedure is followed in humans and the animal species. Parallel tests are those that are conducted in a different manner in humans and the animal species, but for which it is believed the same cognitive function is being measured. Table 2 summarizes information for each of the tests.

Eye-Blink Conditioning Top

Eye-blink conditioning (EBC) is a model system for studying neural correlates of learning and memory (Sears and Steinmetz 2000; Stanton and Freeman 1994; Woodruff-Pak and Steinmetz 2000a, 2000b). Data collected from human and animals (monkeys, rabbits, rats, cats, mice) show similar patterns of acquisition, retention, and extinction of EBC. Analysis of neural systems and structures involved in EBC have been documented through studies employing stimulation, lesion, and pharmacologic methods. Data collection has consistently demonstrated that brain networks used in EBC are virtually identical across vertebrate species, including humans, monkeys, rabbits, rats, cats, and mice. EBC can be used in the same way for comparison studies across the life span. EBC can distinguish between normative groups and populations with impaired learning or memory disorders, such as between normal and autistic children or between normal aging and Alzheimer disease.

The EBC procedure involves pairing a conditioned stimulus (CS; typically a pure tone) and an unconditioned stimulus (US; typically a brief air puff to the eyelid area). The EBC task can be varied by changing the length of the trace or complexity of the conditioning stimuli, or by methods such as discrimination reversal conditioning (Sears and Steinmetz 2000). There is evidence that delay EBC (when the CS and US overlap and coterminate) can be acquired and retained independently of the forebrain and independently of awareness, whereas trace EBC [which occurs when a short empty interval called the interstimulus interval (ISI) separates the CS and US] cannot (Manns and Clark 2002). In delay EBC, the memory trace is localized in the cerebrum, although the hippocampus is also engaged in the acquisition of a conditioned eye-blink response. Trace EBC depends critically on the cerebellum, but also on the hippocampus if the trace interval is sufficiently long (Kishimoto et al. 2001).

Infant model. Although EBC has been well studied in adults, considerably less work has been done in human infants and children. The developmental aspects of the conditioned response have not been systematically studied using either a cross-sectional or a longitudinal approach (Sears and Steinmetz 2000). From limited published data on normal infants and children, Sears and Steinmetz (2000) described the developmental process. Between infancy and early childhood, the acquisition rate for the conditioned eye-blink response dramatically increases from 28% at 1 month to levels near 80% at 5 months, and near 70% for 4- to 6-year-olds. These conditioning rates are similar to rates seen in adults, although the optimal ISI required for conditioning varies from adult protocols. In 5-month-old infants, a delay of 650 msec produces more robust conditioning than do intervals of either 250 or 1,200 msec (Ivkovich et al. 2002).

In the first use of this procedure, 61.5% of 4- and 5-month-olds did not yield reliable data either because they failed to achieve the criterion number of trials (30 tone-air puff trials) or because of technical or procedural problems (Ivkovich et al. 2000). In a later study (Ivkovich et al. 2002), the attrition rate was reduced to 34%. The investigators have now published EBC data on more than 100 healthy, full-term 4- and 5-month-olds. In addition, data collected from 14 premature infants (28-31 weeks) using simple delay EBC have been submitted for publication (Herbert et al. In press).

Animal model. A rodent model for studying development of EBC is well established (Woodruff-Pak and Steinmetz 2000b). The emergence of EBC occurs gradually between 17 and 24 days of age in the rat. Disruption of cerebellar development by administering an antiproliferative agent, neonatal alcohol exposure, or early cerebellar or hippocampal aspirations interferes with development of normal EBC (Ivkovich and Stanton 2001; Stanton 2000; Stanton and Goodlett 1998).

Classical EBC represents a promising test of cognitive function with a well-studied homologous laboratory animal counterpart. Additional data are needed on population norms for infants and on the predictive validity or correlation of EBC deviations from established norms in infancy with later childhood and adult cognitive function assessments. Approaches to increasing subject retention rates between conditioning sessions and refinement of procedures to achieve higher success rates on criterion trials in each conditioning session will further strengthen this method.

Visual Habituation/Novelty Preference Tasks and Visual Recognition Memory Tasks Top

Tasks based on habituation/novelty and visual recognition memory (also called paired comparison) paradigms have been used widely to assess information processing and attention in infants and monkeys (Sirois and Mareschal 2002). Habituation occurs when attention decreases to repeated presentation of the same stimulus; novelty preference occurs when attention increases at the later presentation of a new stimulus. Infants and animals have a preference for novelty. Habituation and novelty preference are interpreted as reflecting the subject's processing of stimulus information (Colombo 1993). Although the habitation/novelty paradigm focuses on the developmental course and speed with which attention wanes to a repeated stimulus, the visual recognition memory paradigm is concerned chiefly with visual recognition memory as reflected in differential responsiveness to familiar and novel stimuli. Such responsiveness is assessed after an initial exposure to the familiar stimulus, which is considerably briefer than that afforded in the habituation paradigm (Rose et al. 2001b).

Paired-comparison task (look duration, shift rate, novelty score)--infant model. In this task, the infant is presented with a target for a period of familiarization. When the familiar target is paired with a novel one, infants typically spend more time looking at the novel target, implying recognition memory. The examiner records the number of looks and looking time (Rose et al. 2001a).

Habituation assessment--infant model. In habituation studies, each trial is either fixed by the experimenter or determined by how long the infant keeps looking at a stimulus. The length of the intertrial interval may also be varied. Which aspect to use as a predictor of risk has been the focus of considerable debate (Colombo 1993; Fagen and Ohr 2001). A large body of evidence indicates that look duration is related to performance, such that infants with shorter looks process information faster and more efficiently than do infants with longer looks (Colombo 1993; Rose et al 2001a). In addition, short lookers tend to process global properties before local properties, much like adults do, whereas long lookers tend to focus initially on local aspects of the stimuli. Of course, there is no way to know whether equal look durations reflect equivalent depths of concentration, what is being encoded, or how rapidly it is being encoded (Rovee-Collier and Barr 2002).

The infant-control procedure represents an important evolution in visual habituation procedures (Lavoie and Desrochers 2002). In this procedure, a trial begins when the infant looks at the stimulus and ends when the infant looks away. In a study of the short-term reliability of this test, a number of habituation measures and reaction to novelty response were shown to be a reliable and valid construct.

Visual recognition memory assessment--infant model. There is substantial evidence that poorer performance on tests of visual recognition memory and slower habituation are associated with "risk" for cognitive delay. Among the groups studied are infants with Down syndrome and those with prenatal exposure to chemical teratogens, malnourishment, and prematurity (Rose and Orlian 2001). For example, in a recent longitudinal study of full-term and preterm (birth weight < 1,750 g) infants seen at 5, 7, and 12 months, full-term infants had shorter look durations, faster shift rates, less off-task behavior, and higher novelty scores than did preterms (Rose et al. 2001a).

Overall, mean predictive correlations are comparable for both habituation and visual recognition memory and tend to be approximately r = 0.45 (Rose and Orlian 2001). A prospective longitudinal study (n = 109) followed high-risk preterms and a socioeconomically matched group of full-terms annually through 6 years of age (Rose et al. 1992) and at age 11 (Rose and Feldman 1995). Visual recognition memory at 7 months and a 1-year cross-modal transfer (test of infant feeling object without seeing and then identifying it visually) each predicted Bayley scores at 2 years and IQ at 3, 4, 5, 6, and 11 years. Correlations of infancy scores with the various outcomes were similar for both groups and ranged from 0.37 to 0.65. Visual recognition memory and cross-modal transfer also correlated with speed of information processing, memory, and verbal and spatial abilities at 11 years of age (Rose et al. 1997).

The Fagan Test of Infant Intelligence (FTII)--infant model. The FTII is a standardized paired-comparison test developed in the 1980s for the early assessment of infant intelligence using the fixation preference principle (Fagan 1990a, 1990b; Fagan and Singer 1983). It has since been used to detect delayed mental development in infants subsequent to environmental exposure to neurotoxic chemicals (Darvill et al. 2000; Jacobson et al. 1985, 1996; Simmer 2000; Winneke et al. 1998). The test is constructed for use at four gestational ages, 67, 69, 70, and 92 weeks, corresponding to 27, 29, 39, and 52 weeks postnatal age. Reviews of the predictive validity of the FTII report correlations with later tests of intelligence at 36 months of age ranging from 0.31 to 0.61 (Fagan 1990a, 1990b; Fagan and Detterman 1992). The instrument also correctly predicted more than 80% of infants who were later identified as mildly to severely retarded. FTII test results in the first year of life predict intellectual performance (Stanford-Binet Intelligence Scale IV; Thorndike et al. 1986) at 8 years of age (Smith et al. 2002). However, there are questions regarding the strength of predictive validity of the FTII in nonrisk samples and variability in correlations depending upon the infant's age at testing (Andersson 1996). Andersson (1996) found low predictive correlations (0.21) in a longitudinal study on a random sample of 100 boys and 96 girls assessed on the Fagan test at 7 and 9 months and then again at 5 years. Furthermore, retest reliabilities at 2-week intervals for two observers in a small nonrisk sample of children at 7 months of age were found to be zero or even slightly negative (Winneke et al. 1998). In addition, recent research has questioned whether recognition memory is what is being measured in tests of this type (Colombo 1993). Other cognitive factors that could affect the FTII and related tests include sensory or perceptual visual discrimination, or speed of visual processing. Premature infants do less well at 6 months and 12 months of age than do full-term infants (Rose 1983).

Disengagement fixation task--infant model. This task was designed to study whether individual and developmental differences in look duration are linked to development of neural attention systems that control the ability to disengage visual fixation (Frick et al. 1999). Look duration has been correlated with disengagement latency; longer-looking infants are slower than shorter-looking infants to shift fixation to a peripheral target on competition trials, but not on noncompetition trials. This task has been used only in a research setting examining the development of the neural attention systems that control the ability to inhibit visual attention.

Span task--infant model. The span task, based on visual recognition memory and paired comparisons, is designed to assess the amount of information infants can hold in short-term memory. Novelty scores provide a measure of performance on each task and an overall index of capacity (Rose et al. 2001b). Thus far, only one human study and no animal studies have used this task.

Visual habituation/novelty preference tasks and visual recognition memory tasks--animal models. In animals, the closest parallel tasks have been studied in monkeys. In the visual recognition memory test, adapted from human infant tasks described above, novel visual stimuli are paired with familiar stimuli and looking time for both is recorded. There are striking similarities between macaque monkeys and human infants in the development of visual recognition memory and other adaptations of paired-comparison tasks and in the effects of risks on cognition (Burbacher and Grant 2000). Monkey infants, like human infants, show deficits associated with severe birth trauma, exposure to teratogens, and low birth weight (Gunderson et al. 1987). Deficits in visual recognition memory have been documented, including exposure to methyl mercury (Gunderson et al. 1986), ethanol (Gunderson et al. 1987), and methanol (Burbacher and Grant 2000).

This task cannot be applied directly to rodents because the primary sensory modality is visual. Rat visual systems are relatively weak, and their "direction of gaze" is represented better by input from the auditory, tactile, or olfactory modalities (Bushnell 1998). Some have compared the novelty object proximity tasks in rats with the human infant paired-comparison tasks (Anderson 2000). This task measures the tendency of rats to explore an unfamiliar object placed within an open field. The limitations of applying tasks such as the novelty object proximity tasks and observational methods to studies of head gaze novelty preference in human infants and monkeys are reviewed by Bushnell (1998).

The A-not-B Task and the Delay-Tolerance A-not-B Tasks Top

Piaget's A-not-B task is widely used to study infant cognitive development (Diamond 2001a). Under the name "delayed response," the almost identical task is used in rhesus monkeys to study the functions of the dorsolateral prefrontal cortex (Goldman-Rakic 1987). Subjects must "hold in mind" for a few seconds where a treat (or toy) is hidden and, over trials, must update their mental record to record where the treat was hidden last. Subjects are rewarded for reaching correctly, hence reinforcing the response. This task requires an aspect of working memory (holding the information in mind) plus inhibition of the natural tendency to repeat a positively reinforced response on reverse trials.

Infant model. By roughly 7.5-8 months of age, human infants correctly reach the first hiding location with delays as long as 2-3 sec (Diamond 2001a, 2001b). When the reward is hidden at location B, infants make a mistake (called the A-not-B error) by going back again to the A hiding place. Between 7.5 and 12 months, infants show increasing improvements in their performance of the delayed-response A-not-B task. For example, each month they can withstand delays approximately 2 sec longer. By 12 months of age, delays of 10 sec or longer are needed to see the A-not-B error (Diamond 2001c).

Various adaptations of the procedures have been studied. In a longitudinal study on 13 infants, Bell and Fox (1992) rated infant's performance on an ordinal scale. Infants proficient at reversal trials on a given day received a score corresponding to that level of delay. Investigators have also developed a looking version of the task in which the eye gaze, not the reach, is the criterion evaluated. No differences in the performance of more than 100 infants on the delay-tolerance A-not-B tasks with an eye-gaze response, compared with the reaching response, have been documented (Bell and Adams 1999).

Interobservation agreement ratings on the A-not-B task are reported in the range of 85-95%, with higher ratings where videotape is used (Bell and Adams 1999). Differences in task performance have been reported between normal control infants and infants with Down syndrome, autistic children, and cocaine-exposed infants (Noland 2001). There have been no demonstrations of predictive validity of the A-not-B task as a measure of individual difference (Noland 2001), although infants with phenylketonuria have been followed for 4 years with continued impaired performance on tests of frontal lobe functioning (Diamond 2001b).

Although there is a wealth of study and debate on establishing the cause of the response preservation seen in 8- to 12-month-olds in these tasks (Ahmed and Ruffman 1998; Carey and Xu 2001; Diamond 2001a, 2001b; Diedrich et al. 2001), a standardized procedure for the tasks has not been developed (Diamond 2001c; Noland 2001).

Animal model. Infant rhesus monkeys improve on these same tasks (more quickly reaching the hiding locations, withstanding longer delays) during the same equivalent age period--1.5-4 months (Diamond 1991). In monkeys, an adaptation of this task, the object concept test, has been used to study in utero exposure to methyl mercury, lead, and methanol (Burbacher and Grant 2000).

The Transparent Barrier Detour Task (Object Retrieval Task)--Infant and Animal Models Top

Like the delay-tolerance A-not-B task, this task has been used in human infants and in rhesus monkeys to study working memory and functions of the dorsolateral prefrontal cortex. At 6-8 months in human infants and the equivalent age in rhesus monkeys, subjects reach for a toy or treat in a clear box only at the side through which they are looking. As they get older, subjects can look through the opening, sit up, and reach in while looking through the closed side. Infants 11 or 12 months old and monkeys 4 months old do not need to look along the line of reach. Infants and monkeys progress through a well-demarcated series of five stages in performance of this task (Diamond 1991).

There are wide individual differences in the rate at which infants and monkeys move through the tasks to retrieve the object. However, the age at which a given subject achieves "phase 1B" on the object retrieval task is remarkably close to the age at which that same subject can first uncover a hidden object in the delayed-response A-not-B task. The object retrieval tasks and comparisons with performance of the delayed-response A-not-B task have been mainly studied in relationship to development and function of the prefrontal cortex. The limitations described for the delayed-response A-not-B task also apply to the transparent barrier detour task.

Mobile/Train Conjugate Reinforcement Tasks Top

The mobile/train conjugate reinforcement tasks are based on operant conditioning and the rationale that infants who lack a verbal response can perform a motoric response (foot kick, lever press) to indicate whether they recognize a stimulus or reinforcement/reward (Rovee-Collier and Barr 2002). The tasks involve acquisition of information regarding the relationship between behavior (kicking a foot or pushing a lever) and a reinforcement or reward (mobile or train moves). These tasks provide a direct means of assessing long-term memory (Fagen and Ohr 2001) because the extent to which the infant retains the learned action can be measured.

Infant model. Infants at 2-3 months and 6 months of age are conditioned to move an overhead crib mobile by kicking one of their feet, which is attached to the mobile by a ribbon. Foot kicks move the mobile in a graded manner that is commensurate with their rate and vigor, providing conjugate reinforcement. At 9 and 12 months, infants are conditioned to activate a musical train and a bank of 10 lights with a lever press response. At each age, 15-min conditioning sessions are conducted in a series of home visits separated by 24 hr. After conditioning sessions, infants are tested after increasing delays (1, 7, or 14 days later) until they exhibit no retention for two successive sessions. From these series of experiments, investigators documented the duration of retention increasing monotonically between 2 and 18 months of age, based on standard parameters of training and testing. Reference curves have been developed to serve as a general model of normal memory development in the infancy period (Hartshorn et al. 1998a, 1998b). Other experiments with similar operant conditioning techniques have also been conducted (Fagen and Ohr 1990, 2001).

From the limited number of longitudinal studies using this method of operant conditioning in human infants, data on the predictive validity are promising. Average correlation between infant memory measures (baseline and retention ratios) and 2-, 3-, and 5-year standardized developmental assessments of 0.45, 0.40, and 0.38, respectively, have been reported (Fagen and Ohr 2001). In a small number of studies, differences between normal infants and high-risk infants (preterm, Down syndrome, and cocaine-exposed infants) in retention of conditioning have been documented and reviewed by Fagen and Ohr (2001).

Animal model. The investigators developing these operant conditioning tasks compare this work with retention of a learned fear response by rats of five ages--18, 23, 38, 54, and 100 days (Campbell and Campbell 1962; Campbell and Coulter 1976). Fear was conditioned by administering a series of inescapable shocks on either the black or white side of a shuttle box. At 0, 7, 21, or 42 days later, rats were tested for their persisting fear of the shock side. As with memory development assessed by the mobile train/conjugate reinforcement tasks in human infants, rats of all ages exhibited equivalent retention after the shortest delay, but as the retention interval increased, the amount of conditioned fear varied directly with age.

Delayed Nonmatching-to-Sample Tasks--Infant and Animal Models Top

In the delayed nonmatching-to-sample (DNMS) task, a sample object is presented. A delay follows, and then the familiar object is presented alongside a novel object. The correct choice is to select the novel object. The task has been widely used in humans and monkeys as an assessment of working memory and attention (Diamond et al. 1999; Paule et al. 1998). In fact, the test is a component of the OTB and has been studied in children 6.5 years and older using the identical automated apparatus used to test monkeys (Paule 2000). Considerable reliability, validity, and population norm data for monkeys, human children, and adults are available.

However, human infants generally cannot succeed in the standard DNMS, even with delays of only 5-10 sec, until they are 21 months old (Diamond 1990; Overman et al. 1992, 1993). Likewise, infant monkeys do not reliably reach criterion on DNMS at 10-sec delays until 4 months of age. Diamond et al. (1999) postulated that infants failed on the DNMS not because of lack of memory requirements, but because infants did not understand the relationship between stimulus and reward or because spatial separations between response and reward or between stimulus and response make the task more difficult.

Diamond et al. (1999) have designed a DNMS task for infants in which the infants do not displace stimuli to receive rewards, but the objects used as stimuli themselves are the reward. The protocol is the same as for the DNMS except the rewards are attached to the base of the stimuli. With this modification, 70% of 9-month-olds succeeded in the DNMS with a 5-sec delay. When verbal rewards (experimenter cheered and applauded when the infant reached correctly) were provided, 80% of infants passed the DNMS with a 5-sec delay (Diamond et al. 1999). Diamond and colleagues' modification of the standard DNMS has not been well studied as an assessment tool in infants, although there is a growing body of data on the standard DNMS in older children (Chelonis et al. 2000).

Means-End Problem-Solving Task Top

Means-end problem solving involves the deliberate and planned execution of a sequence of steps to achieve a goal. Means-end behavior develops after 6 months of age and involves the acquisition of knowledge of appropriate means-end relations and abilities such as planning, sequencing actions, and maintenance of attention to a goal (Willatts and Forsyth 2000). There is evidence that development of means-end problem solving is related to development of the prefrontal cortex (Diamond et al. 1997).

Infant model. Infants between 7 and 8 months of age can solve simple problems involving the completion of one intermediate step--for example, pulling a cloth to retrieve a toy sitting on top of it. By 9 months, infants begin to solve more complex problems requiring completion of two intermediate steps to achieve a goal. Infants first watch as a toy is placed at the end of a cloth and then hidden by a cover. To solve the problem, an infant must first pull the cloth to retrieve the cover and next remove the cover to find the toy. At 10 months, infants can solve more complex problems involving three intermediate steps: removing a barrier to grasp a cloth, pulling the cloth to retrieve a cover, and searching under the cover to find a toy (Willatts 1999). Means-end problem-solving tasks are structured so that the infant's sequence of behavior is scored according to specified criteria for evidence of intention to retrieve the hidden toy, with higher scores indicating more mature problem solving (Willatts and Forsyth 2000).

Two-step problem-solving scores at 9 months of age correlate positively with IQ (0.64, p < 0.01) and vocabulary scores (0.42, p < 0.01) at 3 years (Slater 1995; Willatts 1997). In a randomized trial of the role of long-chain polyunsaturated fatty acids in infant cognitive development, higher problem-solving scores were observed on the 9-month two-step problem-solving task in the supplemented infants who at 3 months had demonstrated poorer attention control and had a lower birth weight. At 10 months, all children in the supplemented group displayed higher problem-solving scores on the three-step task (Willatts and Forsyth 2000).

Animal model. The incremental repeated acquisition (IRA) task, part of the OTB, might be considered a parallel test in monkeys and rodents. The animal is required to learn a sequence of lever presses to receive a reinforcer. First, in IRA1, the subject is required to learn the correct response to one of three levers. Next, in IRA2, the subject is required to learn a response on a different lever than for IRA1, and then a two-lever sequence. The tasks are incremented up to a six-lever sequence or until the allotted task time has elapsed (Mayorga et al. 2000a).

Event-Related Potentials Top

Quantitative electroencephalographic (QEEG) measures have been used in clinical settings to diagnose neuropathology and, in infants, to evaluate gestational age and maturational levels of newborns. The use of electroencephalographic (EEG) recordings in conjunction with other task measures has become a common practice in studying psychophysiologic processes. The use of EEG measures in conjunction with A-not-B tasks is reviewed by Marshall and Fox (2001).

An event-related potential (ERP) is a synchronized portion of the ongoing EEG pattern. The ERP is distinguished from the more traditional baseline EEG measure in that the evoked potential is a portion of the ongoing EEG activity that is time-locked to the onset of some event in the infant's environment (Molfese and Molfese 2001). The ERP reflects both general and specific aspects of the evoking stimulus and the person's perceptions and decisions regarding it (cognition) as reflected by changes in the amplitude or height of the wave at different points in its time course. ERPs are recognized as providing information concerning between-hemisphere differences as well as within-hemisphere differences in the brain's electrical activity under specific stimulus conditions.

Infant model. ERPs have been paired with both vision and auditory assessments in infants and correlated with later intelligence measures. Studies in the 1960s through the 1980s using ERPs had mixed results (Molfese and Molfese 2001). Recent studies on small samples using newer technology and improved study design suggest that ERPs have value as predictors of later functioning. Studies reviewed by Molfese and Molfese (2001) showed measures obtained in later infancy and early childhood successfully predicted language and cognitive skills in older children. Nelson et al. (2000) used ERPs paired with auditory stimuli to test auditory recognition memory in normal newborn infants and the infants of diabetic mothers. Neonatal ERPs elicited by the maternal voice were compared with those elicited by a stranger's voice. Results were compared with Bayley scores at 1 year of age. The presence of a specific neonatal ERP pattern (greater positive slow wave area in response to stranger's voice) indicated better 1-year cognitive development. In an earlier study (Nelson and Bloom 1997), ERPs were used for shape recognition at 4 months in high-risk preterm infants and healthy full-term infants. ERPs were recorded while infants were familiarized with one stimulus (a red cross, 15 trials) and a novel stimulus (red corkscrew). Atypical patterns were found in the high-risk infants.

Animal model. ERPs can be recorded in monkeys (Lilienthal and Winneke 1996; Lilienthal et al. 1994) and rodents (Winneke 1992) and are being used in a parallel paired-comparison task in both monkeys and human infants in the University of Michigan longitudinal study of iron deficiency study (Lozoff B. Personal communication). Rhesus monkeys pre- and postnatally exposed to lead had consistent prolongations of latencies in the brainstem auditory evoked potentials (Lilienthal and Winneke 1996) and visually evoked potentials (Lilienthal et al. 1988).

Operant Discrimination Learning (Object Features and Spatial Mapping Discrimination Tasks) Top

Infant model. Colombo (2001) trained 3-, 6-, and 9-month-olds to an association between an auditory reinforcement and attention to visual/spatial displays. Colombo (2001) reviewed similar studies by Harman et al. (1994) and work by Catherwood et al. (1996) on determining the time course of the processing of visual features and their joining compounds in 5- to 6-month-olds. It is important to note that tasks such as these are currently used to examine how the infant brain develops and functions.

Animal model. Discrimination tasks in nonhuman primates are homologous to this task. The spontaneous alteration task in rats maybe a parallel model for this task. Rats exposed to PCBs prenatally showed altered performance on retention of visual discrimination tasks (Lilienthal and Winneke 1991).

Bayley Scales of Infant Development II Top

Infant model. The Bayley scales are considered the gold standard for assessing the current developmental functioning of infants and children from 1 to 42 months old. The Bayley Scales of Infant Development II have two main subscales, or sets of items: the 178-item mental scale and the 111-item motor scale (Bayley 1993). The mental and motor scales are known to be well correlated, because several items are scored for both scales.

A reduced set of Bayley items has been developed that can be administered in less time and produces reliable, valid scores equivalent to those of the full set (West and Andreassen 2002). The Early Childhood Longitudinal Study reduced-item Bayley (ECLS-B) for 9-month-olds takes approximately 25 min to administer. Items have been selected for their operational ease and psychometric properties. Multiple items can be scored from one administration, and, in the motor scale especially, several items can be scored from observation.

Animal model. Adaptations of many of the assessments included in the Bayley Scales for Infant Development II (Bayley 1993) have been used in assessment of nonhuman primate infants (Burbacher and Grant 2000).

Discussion Top

Over the last decade, there have been tremendous advances in the understanding of the development of learning, memory, and attention in infants and in measures to assess these functions. This review identifies validated tests of normal cognitive function in human infants 12 months and younger that have a homologous or parallel test in laboratory animals. The tests vary along many dimensions of desirable properties, including the number of available validation data, speed of testing, breadth and/or specificity of test results, requirements for equipment and personnel to conduct the test, and extrapolation of results among species. As technology improves our ability to study infant brain function, continued advances are anticipated in the understanding of the integration of motor and mental development in infant cognitive function, and in identifying the factors that arrest normal development.

Tests are currently under study in human infants that seem appropriate for evaluation in animal models. For example, the visual expectation paradigm (VExP) is based on the infant's ability to learn a spatiotemporal pattern (Haith et al. 1993). VExP measures of expectation (anticipations and reaction times) have a moderate amount of reliability and stability (Canfield et al. 1995). Correlations of -0.44 to -0.46 between reaction time in infants (3.5 and 8 months) and standardized IQ measures at 3 to 4 years of age have been reported (DiLilla et al. 1990; Dougherty and Haith 1997).

Some neurophysiologic tests also have promise in future research of brain function and cognitive development, such as functional magnetic resonance imaging and positron emission tomography. At this time, practical limitations restrict use to older children, because the tests require an alert, cooperative child who can overcome the fear of a strange situation and hold his or her head still (Singer 2001).

Because a gold standard does not exist for assessment of cognitive function in animals for comparison with human infants, a battery of tests may also be considered. For example, B. Lazoff at the University of Michigan (personal communication) is leading a longitudinal study assessing cognitive and motor development in 150 human infants and monkeys with iron deficiency from 9 to 12 months of age. The battery of tests assessing cognitive function include the A-not-B task, a Fagan II novelty preference test modified to include looking time, the Resnick ocular motor spatial task, the pair-comparison task with ERP recordings, and a spatial recognition task.

Although sensorimotor and language development in infancy obviously prevents the assessment of late-maturing higher order skills that might be particularly sensitive to neurotoxicant exposures (e.g., reading, complex problem solving, executive functions such as planning, organizing, and strategizing skills), the concurrent validity of habituation and classical conditioning tests has been established. Bellinger (2002) suggests interpreting the validated infant assessment tests in the same way that neonatologists interpret birth weight. Although not predictive of later weight, birth weight is highly informative as an index of a newborn's general health status.

An important advantage of assessing cognitive outcomes in infancy is reducing the amount of time between gestational or early postnatal neurotoxicant exposure and outcome assessment. This has several applications. Early assessment increases the strength of, and reduces the bias in, the estimate of the neurotoxicant's contribution to the results of the neurobehavioral assessment. By reducing the time available for other factors to influence outcome, early assessment allows observation of the relatively direct effect of the exposure. Conversely, but of perhaps equal importance, results obtained in childhood are assessed longitudinally to help identify the impact on neurodevelopment of confounding factors (e.g., sociodemographic, education). This information can be valuable for developing intervention strategies, which in turn are often more effective when initiated earlier in development.

Comparable measures in laboratory animals are essential to the understanding of the toxicology underlying effects measured in human infants. Assessment of the actual risk to developing humans relies heavily on extrapolation of data from animal studies. When comparable methods are used in laboratory studies and in evaluation of human infants, more confidence can be placed on predictions of levels of exposure that will adversely affect humans. Ethical and economic considerations support the choice of rodent over nonhuman primate studies. Homologous measures, in which the identical methodology is employed, have some advantages over parallel measures, which rely on different techniques to evaluate what are believed to be the same processes in different species. We found several homologous tasks for humans and nonhuman primates, some suitable for the study of infants. We identified only one homologous task, classic EBC, that can be used in humans, nonhuman primates, and rodents. It is not sufficiently developed at this time for use in large-scale studies. However, we identified several parallel measures that are suitable for evaluation of human infants and application in rodent toxicology studies designed to clarify and extend the findings of studies in humans.

References Top

  1. Adams J, Barone S Jr, LaMantia A, Philen R, Rice DC, Spear L, et al. 2000. Workshop to identify critical windows of exposure for children's health: neurobehavioral work group summary. Environ Health Perspect 108: suppl 3535–544. Find this article online
  2. Ahmed A, Ruffman T.. 1998. Why do infants make A not B errors in a search task, yet show memory for the location of hidden objects in a nonsearch task? Dev Psychol 34:441–453. Find this article online
  3. Anderson B.. 2000. The g factor in non-human animals. Novartis Found Symp 233:79–90. Find this article online
  4. Andersson HW. 1996. The Fagan Test of Infant Intelligence: predictive validity in a random sample. Psychol Rep 78:1015–1026. Find this article online
  5. Bayley N. 1993. Bayley Scales of Infant Development Manual. 2nd ed. San Antonio, TX:Psychological Corporation, Harcourt Brace and Company.
  6. Bell MA, Adams SE. 1999. Comparable performance on looking and reaching versions of the A-not-B task at 8 months of age. Infant Behav Dev 22:221–235. Find this article online
  7. Bell MA, Fox NA. 1992. The relations between frontal brain electrical activity and cognitive development during infancy. Child Dev 63:1142–1163. Find this article online
  8. Bellinger DC. 2002. Perspectives on incorporating human neurobehavioral end points in risk assessments. Risk Anal 22:487–498. Find this article online
  9. Burbacher TM, Grant KS. 2000. Methods for studying nonhuman primates in neurobehavioral toxicology and teratology. Neurotoxicol Teratol 22:475–486. Find this article online
  10. Bushnell PJ. 1998. Behavioral approaches to the assessment of attention in animals. Psychopharmacology (Berl) 138:231–259. Find this article online
  11. Bushnell PJ, Rice DC. 1999. Behavioral assessments of learning and attention in rats exposed perinatally to 3,3',4,4',5-pentachlorobiphenyl (PCB 126). Neurotoxicol Teratol 21:381–392. Find this article online
  12. Campbell BA, Campbell EH. 1962. Retention and extinction of learned fear in infant and adult rats. J Comp Physiol Psychol 55:1–8. Find this article online
  13. Campbell BA, Coulter X. 1976. Neural and psychological processes underlying the development of learning and memory. In: Habituation (Tighe TJ, Leaton RN, eds). Hillsdale, NJ:Lawrence Erlbaum, 129-157.
  14. Canfield RI, Wilkin JL, Schmerl L, Smith EG. 1995. Age-related change and stability of individual differences in infant saccade reaction time. Infant Behav Dev 18:351–358. Find this article online
  15. Carey S, Xu F.. 2001. Infants' knowledge of objects: beyond object files and object tracking. Cognition 80:179–213. Find this article online
  16. Catherwood D, Skoien P, Green V, Holt C.. 1996. Assessing the primary moments in infant encoding of compound visual stimuli. Infant Behav Dev 19:1–11. Find this article online
  17. Chelonis JJ, Daniels-Shaw JL, Blake DJ, Paule MG. 2000. Developmental aspects of delayed matching-to-sample task performance in children. Neurotoxicol Teratol 22:683–694. Find this article online
  18. Colombo J. 1993. Infant Cognition: Predicting Later Intellectual Functioning. Newbury Park, CA:Sage.
  19. ------ 2001. The development of visual attention in infancy. Annu Rev Psychol 52:337–367. Find this article online
  20. Cory-Slechta DA, Crofton KM, Foran JA, Ross JF, Sheets LP, Weiss B, et al. 2001. Methods to identify and characterize developmental neurotoxicity for human health risk assessment I: behavioral effects. Environ Health Perspect 109: suppl 179–91. Find this article online
  21. Darvill T, Lonky E, Reihman J, Stewart P, Pagano J.. 2000. Prenatal exposure to PCBs and infant performance on the Fagan Test of Infant Intelligence. Neurotoxicology 21:1029–1038. Find this article online
  22. Diamond A.. 1990. Rate of maturation of the hippocampus and the developmental progression of children's performance on the delayed non-matching to sample and visual paired comparison tasks. Ann NY Acad Sci 608:394–426. Find this article online
  23. ------. 1991. Neuropsychological insights into meaning of object concept development. In: The Epigenesis of Mind: Essays on Biology and Cognition (Carey S, Gelman R, eds). Hillsdale, NJ:Lawrence Erlbaum, 67-110.
  24. ------. 2001a. Prefrontal cortex development and development of cognitive function. In: International Encyclopedia of the Social and Behavioral Sciences (Smelser NJ, Baltes PB, eds). Oxford, UK:Elsevier Science, 11976-11982.
  25. ------. 2001b. A model system for studying the role of dopamine in the prefrontal cortex during early development in humans: early and continuously treated phenylketonuria. In: Handbook of Developmental Cognitive Neuroscience (Nelson CA, Luciana M, eds). Cambridge, MA:MIT Press, 433-472.
  26. ------ 2001c. Looking closely at infants' performance and experimental procedures in the A-not-B task. Behav Brain Sci 24:38–41. Find this article online
  27. Diamond A, Churchland A, Cruess L, Kirkham NZ. 1999. Early developments in the ability to understand the relation between stimulus and reward. Dev Psychol 35:1507–1517. Find this article online
  28. Diamond A, Prevor MB, Callender G, Druin DP. 1997. Prefrontal Cortex Cognitive Deficits in Children Treated Early and Continuously for PKU. Waltham, MA:Center for Developmental Cognitive Neuroscience.
  29. Diedrich FJ, Highlands TM, Spahr KA, Thelen E, Smith LB. 2001. The role of target distinctiveness in infant preservative reaching. J Exp Child Psychol 78:263–290. Find this article online
  30. DiLilla LF, Thompson LA, Plomin R, Phillips K, Fagan JF, Haith MM, et al. 1990. Infant predictors of preschool and adult IQ: a study of infant twins and their parents. Dev Psychol 26:759–769. Find this article online
  31. Dougherty TM, Haith MM. 1997. Infant expectations and reaction times as predictors of childhood speed of processing and IQ. Dev Psychol 33:146–155. Find this article online
  32. Fagan JF III. 1990a. The paired-comparison paradigm and infant intelligence. Ann NY Acad Sci 608:337–357. Find this article online
  33. ------. 1990b. The paired-comparison paradigm and infant intelligence. In: The Development and Neural Bases of Higher Cognitive Function (Diamond A, ed). New York:New York Academy of Sciences Press, 337-364.
  34. Fagan JF, Detterman D. 1992. The Fagan Test of Infant Intelligence: a technical report. J Appl Dev Psychol 13:153–157. Find this article online
  35. Fagan JF, Singer LT. 1983. Infant recognition memory as a measure of intelligence. In: Advances in Infancy Research, Vol 2 (Lipsett, LP, ed). Norwood, NJ:Ablex, 31-78.
  36. Fagen JW, Ohr PS. 1990. Individual differences in infant conditioning and memory. In: Individual Differences in Infancy: Reliability, Stability, and Prediction (Colombo J, Fagen JW, eds). Hillsdale, NJ:Lawrence Erlbaum, 157-191.
  37. ------. 2001. Learning and memory in infancy: habituation, instrumental conditioning, and expectancy formation. In: Biobehavioral Assessment of the Infant (Singer LT, Zeskind PS, eds). New York:Guilford, 233-273.
  38. Fray PJ, Robbins TW. 1996. CANTAB battery: proposed utility in neurotoxicology. Neurotoxicol Teratol 18:499–504. Find this article online
  39. Frick JE, Colombo J, Saxon TE. 1999. Individual and developmental differences in disengagement of fixation in early infancy. Child Dev 70:537–548. Find this article online
  40. Goldman-Rakic PS. 1987. Circuitry of primate prefrontal cortex and regulation of behavior by representational memory. In: Handbook of Physiology, Vol 5 (Plum F, ed). Bethesda, MD:American Physiological Society, 373-417.
  41. Gunderson VM, Grant KS, Burbacher TM, Fagan JF, Mottet NK. 1986. The effect of low-level prenatal methylmercury exposure on visual recognition memory in infant crab-eating macaques. Child Dev 57:1076–1083. Find this article online
  42. Gunderson VM, Grant-Webster KS, Fagan JF. 1987. Visual recognition memory in high- and low-risk infant pigtailed macaques (Macaca nemestrina). Dev Psychol 23:671–675. Find this article online
  43. Haith MM, Wentworth N, Canfield RL. 1993. The formation of expectations in early infancy. In: Advances in Infancy Research, Vol 8 (Rovee-Collier C, Lipsitt LP, eds). Norwood, NJ:Ablex, 251-297.
  44. Harman C, Posner MI, Rothbart MK, Thomas-Thrapp L. 1994. Development of orienting to locations and objects in human infants. Can J Exp Psychol 48:301–318. Find this article online
  45. Hartshorn K, Rovee-Collier C, Gerhardstein P, Bhatt RS, Klein PJ, Aaron F, et al. 1998b. Developmental changes in the specificity of memory over the first year of life. Dev Psychobiol 33:61–78. Find this article online
  46. Hartshorn K, Rovee-Collier C, Gerhardstein P, Bhatt RS, Wondoloski TL, Klein P, et al. 1998. . The ontogeny of long-term memory over the first year-and-a-half of life. Dev Psychobiol 32:69–89. Find this article online
  47. Herbert J, Eckerman CO, Goldstein RF, Stanton ME. . Contrasts in infant classical eyeblink conditioning as a function of premature birth. Infancy.. Find this article online
  48. Ivkovich D, Eckerman CO, Krasnegor NA, Stanton M. 2000. Using eyeblink conditioning to assess neurocognitive development in human infants. In: Eyeblink Classical Conditioning, Vol 1: Applications in Humans (Woodruff-Pak D, Steinmetz J, eds). New York:Kluwer Academic, 119-142.
  49. Ivkovich D, Stanton ME. 2001. Effects of early hippocampal lesions on trace, delay, and long-delay eyeblink conditioning in developing rats. Neurobiol Learn Mem 76:426–446. Find this article online
  50. Ivkovich D, Stanton ME, Herbert J, Greer J, Eckerman CO. 2002. Effect of delay-interval on classical eyeblink conditioning in 5-month-old human infants. Dev Psychobiol 41(4):329–340. Find this article online
  51. Jacobson S, Fein G, Jacobson J, Schwartz P, Dower J.. 1985. The effect of intrauterine PCB exposure on visual recognition memory. Child Dev 56:853–860. Find this article online
  52. Jacobson SW, Jacobson JL, Sokol RJ, Martier SS, Chiodo LM. 1996. New evidence for neurobehavioral effects of in utero cocaine exposure. J Pediatr 129:581–590. Find this article online
  53. Kishimoto Y, Suzuki M, Kawahara S.. 2001. Age-dependent impairment of delay and trace eyeblink conditioning in mice. Neuroreport 12:3349–3352. Find this article online
  54. Lavoie C, Desrochers S.. 2002. Visual habituation at five months: short-term reliability of measures obtained with a new polynomial regression criterion. J Genet Psychol 163(3):261–271. Find this article online
  55. Lilienthal H, Kohler K, Turfield M, Winneke G.. 1994. Persistent increases in scotopic B-wave amplitudes after lead exposure in monkeys. Exp Eye Res 59(2):203–209. Find this article online
  56. Lilienthal H, Lenaerts C, Winneke G, Hednnekes R.. 1988. Alteration of the visual evoked potential and the electroretinogram in lead-treated monkeys. Neurotoxicol Teratol 10(5):417–422. Find this article online
  57. Lilienthal H, Winneke G.. 1991. Sensitive periods for behavioral toxicity of polychlorinated biphenyls: determination by cross-fostering in rats. Fundam Appl Toxicol 17(2):368–375. Find this article online
  58. ------ 1996. Lead effects on the brain stem auditory evoked potential in monkeys during and after the treatment phase. Neurotoxicol Teratol 18(1):17–32. Find this article online
  59. Lipsitt LP. 1990. Learning processes in the human newborn. Sensitization, habituation, and classical conditioning. Ann NY Acad Sci 608:113–123. Find this article online
  60. Manns JR, Clark RE. 2002. Standard delay eyeblink classical conditioning is independent of awareness. J Exp Psychol Anim Behav Process 28:32–37. Find this article online
  61. Marshall DH, Fox NA. 2001. Electroencephalographic assessment and human brain maturation: a window into emotional and cognitive development in infancy. In: Biobehavioral Assessment of the Infant (Singer LT, Zeskind PS, eds). New York:Guilford, 341-360.
  62. Mayorga AJ, Popke EJ, Fogle CM, Paule MG. 2000. . Adaptation of a primate operant test battery to the rat: effects of chlorpromazine. Neurotoxicol Teratol 22:31–39. Find this article online
  63. ------ 2000. . Similar effects of amphetamine and methylphenidate on the performance of complex operant tasks in rats. Behav Brain Res 109:59–68. Find this article online
  64. Merriam-Webster On Line: The Language Center. 2003. Cognition. Springfield, MA:Merriam-Webster, Inc. Available: http://www.m-w.com/home.htm[accessed 11 June 2003].
  65. Molfese DL, Molfese VJ. 2001. Cortical electrophysiology and language processes in infancy. In: Biobehavioral Assessment of the Infant (Singer LT, Zeskind PS, eds). New York:Guilford, 323-340.
  66. Nelson CA, Bloom FF. 1997. Child development and neuroscience. Child Dev 68:970–987. Find this article online
  67. Nelson CA, Luciana M, eds. 2001. Handbook of Developmental Cognitive Neuroscience. Cambridge, MA:MIT Press.
  68. Nelson CA, Wewerka S, Thomas KM, deRegnier RA, Tribbey-Walbridge S, Georgieff M. 2000. Neurocognitive sequelae of infants of diabetic mothers. Behav Neurosci 114:950–956. Find this article online
  69. Noland JS. 2001. The A-not-B task. In: Biobehavioral Assessment of the Infant (Singer LT, Zeskind PS, eds). New York:Guilford, 312-322.
  70. Overman WH. 1990. Performance on traditional matching to sample, non-matching to sample, and object discrimination tasks by 12- to 32-month-old children. A developmental progression. Ann NY Acad Sci 608:365–385. Find this article online
  71. Overman WH, Bachevalier J. 2001. Inferences about the functional development of neural systems in children via the application of animal tests of cognition. In: Handbook of Developmental Cognitive Neuroscience (Nelson CA, Luciana M, eds). Cambridge MA:MIT Press, 109-124.
  72. Overman W, Bachevalier J, Miller M, Moore K.. 1996. . Children's performance on "animal tests" of oddity: implications for cognitive processes required for tests of oddity and delayed nonmatch to sample. J Exp Child Psychol 62:223–242. Find this article online
  73. ------ 1996. . Cognitive gender differences in very young children parallel biologically based cognitive gender differences in monkeys. Behav Neurosci 110:673–684. Find this article online
  74. Overman WH, Bachevalier J, Sewell F, Drew J. 1993. A comparison of children's performance on two recognition memory tasks: delayed nonmatch-to-sample versus visual paired-comparison. Dev Psychobiol 26:345–357. Find this article online
  75. Overman W, Bachevalier J, Turner M, Peuster A.. 1992. Object recognition versus object discrimination: comparison between human infants and infant monkeys. Behav Neurosci 106:15–29. Find this article online
  76. Paule MG. 2000. Validation of a behavioral test battery for monkeys. In: Methods of Behavioral Analysis in Neuroscience (Buccafusco JJ, ed). Boca Raton, FL:CRC Press, 281-294.
  77. ------ 2001. Using identical behavioral tasks in children, monkeys, and rats to study the effects of drugs. Curr Ther Res 62(11):820–833. Find this article online
  78. Paule MG, Bushnell PJ, Maurissen JP, Wenger GR, Buccafusco JJ, Chelonis JJ, et al. 1998. Symposium overview: the use of delayed matching-to-sample procedures in studies of short-term memory in animals and humans. Neurotoxicol Teratol 20:493–502. Find this article online
  79. Paule MG, Chelonis JJ, Buffalo EA, Blake DJ, Casey PH. 1999. . Operant test battery performance in children: correlation with IQ. Neurotoxicol Teratol 21:223–230. Find this article online
  80. Paule MG, Popke EJ, Pearson E, Hammond T. 1999. . Development of a nonhuman primate model for studying the consequences of long-term neuroprotectant administration on complex brain functions in developing animals. Ann NY Acad Sci 890:470.. Find this article online
  81. Rice D, Barone S Jr. 2000. Critical periods of vulnerability for the developing nervous system: evidence from humans and animal models. Environ Health Perspect 108: suppl 3511–533. Find this article online
  82. Rose SA. 1983. Differential rates of visual information processing in full-term and preterm infants. Child Dev 54:1189–1198. Find this article online
  83. Rose SA, Feldman JF. 1995. Prediction of IQ and specific cognitive abilities at 11 years from infancy measures. Dev Psychol 31:685–696. Find this article online
  84. Rose SA, Feldman JF, Futterweit LR, Jankowski JJ. 1997. Continuity in visual recognition memory: infancy to 11 years. Intelligence 24:381–392. Find this article online
  85. Rose SA, Feldman JF, Jankowski JJ. 2001. . Attention and recognition memory in the 1st year of life: a longitudinal study of preterm and full-term infants. Dev Psychol 37:135–151. Find this article online
  86. ------ 2001. . Visual short-term memory in the first year of life: capacity and recency effects. Dev Psychol 37:539–549. Find this article online
  87. Rose SA, Feldman JF, Wallace IF. 1992. Infant information processing in relation to six-year cognitive outcomes. Child Dev 63:1126–1141. Find this article online
  88. Rose SA, Orlian EK. 2001. Visual information processing. In: Biobehavioral Assessment of the Infant (Singer LT, Zeskind PS, eds). New York:Guilford, 274-292.
  89. Rovee-Collier C, Barr R. 2002. Infant cognition. In: Stevens' Handbook of Experimental Psychology (Pashler H, Wixted J, eds). New York:John Wiley and Sons, 693-791.
  90. Sears LL, Steinmetz JE. 2000. Classical eyeblink conditioning in normal and autistic children. In: Eyeblink Classical Conditioning, Vol 1: Applications in Humans (Woodruff-Pak D, Steinmetz JE, eds). New York:Kluwer Academic, 143-162.
  91. Simmer K.. 2000. Longchain polyunsaturated fatty acid supplementation in infants born at term. Cochrane Database Syst Rev 2:CD000376.. Find this article online
  92. Singer LT. 2001. General issues in infant assessment and development. In: Biobehavioral Assessment of the Infant (Singer LT, Zeskind PS, eds). New York:Guilford, 3-17.
  93. Sirois S, Mareschal D.. 2002. Models of habituation in infancy. Trends Cogn Sci 6:293–298. Find this article online
  94. Slater A.. 1995. Individual differences in infancy and later IQ. J Child Psychol Psychiatry 36:69–112. Find this article online
  95. Slikker W Jr, Beck BD, Cory-Slechta DA, Paule MG, Anger WK, Bellinger D. 2000. Cognitive tests: interpretation for neurotoxicity? Toxicol Sci 58:222–234. Find this article online
  96. Smith L, Fagan FF, Ulvand SE. 2002. The relation of recognition memory in infancy and parental socioeconomic status to later intellectual competence. Intelligence 30:247–259. Find this article online
  97. Stanton ME. 2000. Multiple memory systems, development and conditioning. Behav Brain Res 110:25–37. Find this article online
  98. Stanton ME, Freeman JH Jr. 1994. Eyeblink conditioning in the infant rat: an animal model of learning in developmental neurotoxicology. Environ Health Perspect 102: suppl 2131–139. Find this article online
  99. Stanton ME, Goodlett CR. 1998. Neonatal ethanol exposure impairs eyeblink conditioning in weanling rats. Alcohol Clin Exp Res 22:270–275. Find this article online
  100. Stanton ME, Spear LP. 1990. Workshop on the qualitative and quantitative comparability of human and animal developmental neurotoxicity, Work Group I report: comparability of measures of developmental neurotoxicity in humans and laboratory animals. Neurotoxicol Teratol 12:261-267.
  101. Thorndike RL, Hagen EP, Sattler JM. 1986. Stanford-Binet Intelligence Scale. Technical Manual. 4th ed. Chicago, IL:Riverside.
  102. U.S. EPA 1998. Guidelines for neurotoxicity risk assessment. Fed Reg 63(93):26926–26954. Find this article online
  103. West J, Andreassen C. 2002. Measuring development in the Early Childhood Longitudinal Study - Birth Cohort. Presented at the Workshop on Selecting Cognitive Measures for Young Children in Large Scale Surveys, 1 May 2002, Washington DC.
  104. Willatts P. 1997. Beyond the "couch potato" infant: how infants use their knowledge to regulate action, solve problems, and achieve goals. In: Infant Development: Recent Advances (Brenner J, Slater A, Butterworth G, eds). Hove, East Sussex, UK:Psychology Press, 109-135.
  105. ------ 1999. Development of means-end behavior in young infants: pulling a support to retrieve a distant object. Dev Psychol 35:651–667. Find this article online
  106. Willatts P, Forsyth JS. 2000. The role of long-chain polyunsaturated fatty acids in infant cognitive development. Prostaglandins Leukot Essent Fatty Acids 63:95–100. Find this article online
  107. Winneke G.. 1992. Cross species extrapolation in neurotoxicology: neurophysiological and neurobehavioral aspects. Neruotoxicology 13(1):15–25. Find this article online
  108. Winneke G, Bucholski A, Heinzow B, Kramer U, Schmidt E, Waldowial J, et al. 1998. Developmental neurotoxicity of polychlorinated biphenyls (PCBs): cognitive and psychomotor functions in 7-month-old children. Toxicol Lett 102-103:423–428. Find this article online
  109. Woodruff-Pak D, Steinmetz J, eds. 2000a. Eyeblink Classical Conditioning, Vol 1: Applications in Humans. New York:Kluwer Academic.
  110. ------. 2000b. Eyeblink Classical Conditioning, Vol 2: Applications in Animals. New York:Kluwer Academic.
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