Neuroscience

Articles and news from the latest research reports.

Posts tagged cognitive development

161 notes

Early cerebellum injury hinders neural development, possible root of autism, theory suggests A brain region largely known for coordinating motor control has a largely overlooked role in childhood development that could reveal information crucial to understanding the onset of autism, according to Princeton University researchers. The cerebellum — an area located in the lower rear of the brain — is known to process external and internal information such as sensory cues that influence the development of other brain regions, the researchers report in the journal Neuron. Based on a review of existing research, the researchers offer a new theory that an injury to the cerebellum during early life potentially disrupts this process and leads to what they call “developmental diaschisis,” which is when a loss of function in one part of the brain leads to problems in another region. The researchers specifically apply their theory to autism, though they note that it could help understand other childhood neurological conditions. Conditions within the autism spectrum present “longstanding puzzles” related to cognitive and behavioral disruptions that their ideas could help resolve, they wrote. Under their theory, cerebellar injury causes disruptions in how other areas of the brain develop an ability to interpret external stimuli and organize internal processes, explained first author Sam Wang, an associate professor of molecular biology and the Princeton Neuroscience Institute (PNI). "It is well known that the cerebellum is an information processor. Our neocortex [the largest part of the brain, responsible for much higher processing] does not receive information unfiltered. There are critical steps that have to happen between when external information is detected by our brain and when it reaches the neural cortex," said Wang, who worked with doctoral student Alexander Kloth and postdoctoral research associate Aleksandra Badura, both in PNI. "At some point, you learn that smiling is nice because Mom smiles at you. We have all these associations we make in early life because we don’t arrive knowing that a smile is nice," Wang said. "In autism, something in that process goes wrong and one thing could be that sensory information is not processed correctly in the cerebellum." Mustafa Sahin, a neurologist at Boston’s Children Hospital and associate professor of neurology at Harvard Medical School, said that Wang and his co-authors build upon known links between cerebellar damage and autism to suggest that the cerebellum is essential to healthy neural development. Numerous studies — including from his own lab — support their theory, said Sahin, who is familiar with the work but was not involved in it. "The association between cerebellar deficits and autism has been around for a while," Sahin said. "What Sam Wang and colleagues do in this perspective article is to synthesize these two themes and hypothesize that in a critical period of development, cerebellar dysfunction may disrupt the maturation of distant neocortical circuits, leading to cognitive and behavioral symptoms including autism." Traditionally, the cerebellum has been studied in relation to motor movement and coordination in adults. Recent studies, however, strongly suggest that it also influences childhood cognition, Wang said. Several studies also have found a correlation between cerebellar injury and the development of a disorder in the autism spectrum, the researchers report. For instance, the researchers cite a 2007 paper in the journal Pediatrics that found that individuals who experienced cerebellum damage at birth were 40 times more likely to score highly on autism screening tests. They also reference studies in 2004 and 2005 that found that the cerebellum is the most frequently disrupted brain region in people with autism. "What we realized from looking at the literature is that these two problems — autism and cerebellar injury — might be related to each other" via the cerebellum’s influence on wider neural development, Wang said. "We hope to get people and scientists thinking differently about the cerebellum or about autism so that the whole field can move forward." The researchers conclude by suggesting methods for testing their theory. First, by inactivating brain-cell electrical activity, it should be possible to pinpoint the developmental stage in which injury to one part of the brain affects the maturation of another. A second, more advanced method is to reconstruct the neural connections between the cerebellum and other brain regions; the federal BRAIN Initiative announced in 2013 aims to map the activity of all the brain’s neurons. Finally, mouse brains can be used to disable and restore brain-region function to observe the “upstream” effect in other areas.

Early cerebellum injury hinders neural development, possible root of autism, theory suggests

A brain region largely known for coordinating motor control has a largely overlooked role in childhood development that could reveal information crucial to understanding the onset of autism, according to Princeton University researchers.

The cerebellum — an area located in the lower rear of the brain — is known to process external and internal information such as sensory cues that influence the development of other brain regions, the researchers report in the journal Neuron. Based on a review of existing research, the researchers offer a new theory that an injury to the cerebellum during early life potentially disrupts this process and leads to what they call “developmental diaschisis,” which is when a loss of function in one part of the brain leads to problems in another region.

The researchers specifically apply their theory to autism, though they note that it could help understand other childhood neurological conditions. Conditions within the autism spectrum present “longstanding puzzles” related to cognitive and behavioral disruptions that their ideas could help resolve, they wrote. Under their theory, cerebellar injury causes disruptions in how other areas of the brain develop an ability to interpret external stimuli and organize internal processes, explained first author Sam Wang, an associate professor of molecular biology and the Princeton Neuroscience Institute (PNI).

"It is well known that the cerebellum is an information processor. Our neocortex [the largest part of the brain, responsible for much higher processing] does not receive information unfiltered. There are critical steps that have to happen between when external information is detected by our brain and when it reaches the neural cortex," said Wang, who worked with doctoral student Alexander Kloth and postdoctoral research associate Aleksandra Badura, both in PNI.

"At some point, you learn that smiling is nice because Mom smiles at you. We have all these associations we make in early life because we don’t arrive knowing that a smile is nice," Wang said. "In autism, something in that process goes wrong and one thing could be that sensory information is not processed correctly in the cerebellum."

Mustafa Sahin, a neurologist at Boston’s Children Hospital and associate professor of neurology at Harvard Medical School, said that Wang and his co-authors build upon known links between cerebellar damage and autism to suggest that the cerebellum is essential to healthy neural development. Numerous studies — including from his own lab — support their theory, said Sahin, who is familiar with the work but was not involved in it.

"The association between cerebellar deficits and autism has been around for a while," Sahin said. "What Sam Wang and colleagues do in this perspective article is to synthesize these two themes and hypothesize that in a critical period of development, cerebellar dysfunction may disrupt the maturation of distant neocortical circuits, leading to cognitive and behavioral symptoms including autism."

Traditionally, the cerebellum has been studied in relation to motor movement and coordination in adults. Recent studies, however, strongly suggest that it also influences childhood cognition, Wang said. Several studies also have found a correlation between cerebellar injury and the development of a disorder in the autism spectrum, the researchers report. For instance, the researchers cite a 2007 paper in the journal Pediatrics that found that individuals who experienced cerebellum damage at birth were 40 times more likely to score highly on autism screening tests. They also reference studies in 2004 and 2005 that found that the cerebellum is the most frequently disrupted brain region in people with autism.

"What we realized from looking at the literature is that these two problems — autism and cerebellar injury — might be related to each other" via the cerebellum’s influence on wider neural development, Wang said. "We hope to get people and scientists thinking differently about the cerebellum or about autism so that the whole field can move forward."

The researchers conclude by suggesting methods for testing their theory. First, by inactivating brain-cell electrical activity, it should be possible to pinpoint the developmental stage in which injury to one part of the brain affects the maturation of another. A second, more advanced method is to reconstruct the neural connections between the cerebellum and other brain regions; the federal BRAIN Initiative announced in 2013 aims to map the activity of all the brain’s neurons. Finally, mouse brains can be used to disable and restore brain-region function to observe the “upstream” effect in other areas.

Filed under cerebellum cerebellar injury autism neural development cognitive development neuroscience science

195 notes

New research sheds light on how children’s brains memorize facts As children learn basic arithmetic, they gradually switch from solving problems by counting on their fingers to pulling facts from memory. The shift comes more easily for some kids than for others, but no one knows why. Now, new brain-imaging research gives the first evidence drawn from a longitudinal study to explain how the brain reorganizes itself as children learn math facts. A precisely orchestrated group of brain changes, many involving the memory center known as the hippocampus, are essential to the transformation, according to a study from the Stanford University School of Medicine. The results, published online Aug. 17 in Nature Neuroscience, explain brain reorganization during normal development of cognitive skills and will serve as a point of comparison for future studies of what goes awry in the brains of children with learning disabilities. “We wanted to understand how children acquire new knowledge, and determine why some children learn to retrieve facts from memory better than others,” said Vinod Menon, PhD, the Rachael L. and Walter F. Nichols, MD, Professor and  professor of psychiatry and behavioral sciences, and the senior author of the study. “This work provides insight into the dynamic changes that occur over the course of cognitive development in each child.” The study also adds to prior research into the differences between how children’s and adults’ brains solve math problems. Children use certain brain regions, including the hippocampus and the prefrontal cortex, very differently from adults when the two groups are solving the same types of math problems, the study showed. “It was surprising to us that the hippocampal and prefrontal contributions to memory-based problem-solving during childhood don’t look anything like what we would have expected for the adult brain,” said postdoctoral scholar Shaozheng Qin, PhD, who is the paper’s lead author. Charting the shifting strategy In the study, 28 children solved simple math problems while receiving two functional magnetic resonance imaging brain scans; the scans were done about 1.2 years apart. The researchers also scanned 20 adolescents and 20 adults at a single time point. At the start of the study, the children were ages 7-9. The adolescents were 14-17 and the adults were 19-22. The participants had normal IQs. Because the study examined normal math learning, potential participants with math-related learning disabilities and attention deficit hyperactivity disorder were excluded. The children and adolescents were studying math in school; the researchers did not provide any math instruction. During the study, as the children aged from an average of 8.2 to 9.4 years, they became faster and more accurate at solving math problems, and relied more on retrieving math facts from memory and less on counting. As these shifts in strategy took place, the researchers saw several changes in the children’s brains. The hippocampus, a region with many roles in shaping new memories, was activated more in children’s brains after one year. Regions involved in counting, including parts of the prefrontal and parietal cortex, were activated less. The scientists also saw changes in the degree to which the hippocampus was connected to other parts of children’s brains, with several parts of the prefrontal, anterior temporal cortex and parietal cortex more strongly connected to the hippocampus after one year. Crucially, the stronger these connections, the greater was each individual child’s ability to retrieve math facts from memory, a finding that suggests a starting point for future studies of math-learning disabilities. Although children were using their hippocampus more after a year, adolescents and adults made minimal use of their hippocampus while solving math problems. Instead, they pulled math facts from well-developed information stores in the neocortex. Memory scaffold “What this means is that the hippocampus is providing a scaffold for learning and consolidating facts into long-term memory in children,” said Menon, who is also the Rachel L. and Walter F. Nichols, MD, Professor at the medical school. Children’s brains are building a schema for mathematical knowledge. The hippocampus helps support other parts of the brain as adultlike neural connections for solving math problems are being constructed. “In adults this scaffold is not needed because memory for math facts has most likely been consolidated into the neocortex,” he said. Interestingly, the research also showed that, although the adult hippocampus is not as strongly engaged as in children, it seems to keep a backup copy of the math information that adults usually draw from the neocortex. The researchers compared the level of variation in patterns of brain activity as children, adolescents and adults correctly solved math problems. The brain’s activity patterns were more stable in adolescents and adults than in children, suggesting that as the brain gets better at solving math problems its activity becomes more consistent. The next step, Menon said, is to compare the new findings about normal math learning to what happens in children with math-learning disabilities. “In children with math-learning disabilities, we know that the ability to retrieve facts fluently is a basic problem, and remains a bottleneck for them in high school and college,” he said. “Is it that the hippocampus can’t provide a reliable scaffold to build good representations of math facts in other parts of the brain during the early stages of learning, and so the child continues to use inefficient strategies to solve math problems? We want to test this.”

New research sheds light on how children’s brains memorize facts

As children learn basic arithmetic, they gradually switch from solving problems by counting on their fingers to pulling facts from memory. The shift comes more easily for some kids than for others, but no one knows why.

Now, new brain-imaging research gives the first evidence drawn from a longitudinal study to explain how the brain reorganizes itself as children learn math facts. A precisely orchestrated group of brain changes, many involving the memory center known as the hippocampus, are essential to the transformation, according to a study from the Stanford University School of Medicine.

The results, published online Aug. 17 in Nature Neuroscience, explain brain reorganization during normal development of cognitive skills and will serve as a point of comparison for future studies of what goes awry in the brains of children with learning disabilities.

“We wanted to understand how children acquire new knowledge, and determine why some children learn to retrieve facts from memory better than others,” said Vinod Menon, PhD, the Rachael L. and Walter F. Nichols, MD, Professor and  professor of psychiatry and behavioral sciences, and the senior author of the study. “This work provides insight into the dynamic changes that occur over the course of cognitive development in each child.”

The study also adds to prior research into the differences between how children’s and adults’ brains solve math problems. Children use certain brain regions, including the hippocampus and the prefrontal cortex, very differently from adults when the two groups are solving the same types of math problems, the study showed.

“It was surprising to us that the hippocampal and prefrontal contributions to memory-based problem-solving during childhood don’t look anything like what we would have expected for the adult brain,” said postdoctoral scholar Shaozheng Qin, PhD, who is the paper’s lead author.

Charting the shifting strategy

In the study, 28 children solved simple math problems while receiving two functional magnetic resonance imaging brain scans; the scans were done about 1.2 years apart. The researchers also scanned 20 adolescents and 20 adults at a single time point. At the start of the study, the children were ages 7-9. The adolescents were 14-17 and the adults were 19-22. The participants had normal IQs. Because the study examined normal math learning, potential participants with math-related learning disabilities and attention deficit hyperactivity disorder were excluded. The children and adolescents were studying math in school; the researchers did not provide any math instruction.

During the study, as the children aged from an average of 8.2 to 9.4 years, they became faster and more accurate at solving math problems, and relied more on retrieving math facts from memory and less on counting. As these shifts in strategy took place, the researchers saw several changes in the children’s brains. The hippocampus, a region with many roles in shaping new memories, was activated more in children’s brains after one year. Regions involved in counting, including parts of the prefrontal and parietal cortex, were activated less.

The scientists also saw changes in the degree to which the hippocampus was connected to other parts of children’s brains, with several parts of the prefrontal, anterior temporal cortex and parietal cortex more strongly connected to the hippocampus after one year. Crucially, the stronger these connections, the greater was each individual child’s ability to retrieve math facts from memory, a finding that suggests a starting point for future studies of math-learning disabilities.

Although children were using their hippocampus more after a year, adolescents and adults made minimal use of their hippocampus while solving math problems. Instead, they pulled math facts from well-developed information stores in the neocortex.

Memory scaffold

“What this means is that the hippocampus is providing a scaffold for learning and consolidating facts into long-term memory in children,” said Menon, who is also the Rachel L. and Walter F. Nichols, MD, Professor at the medical school. Children’s brains are building a schema for mathematical knowledge. The hippocampus helps support other parts of the brain as adultlike neural connections for solving math problems are being constructed. “In adults this scaffold is not needed because memory for math facts has most likely been consolidated into the neocortex,” he said. Interestingly, the research also showed that, although the adult hippocampus is not as strongly engaged as in children, it seems to keep a backup copy of the math information that adults usually draw from the neocortex.

The researchers compared the level of variation in patterns of brain activity as children, adolescents and adults correctly solved math problems. The brain’s activity patterns were more stable in adolescents and adults than in children, suggesting that as the brain gets better at solving math problems its activity becomes more consistent.

The next step, Menon said, is to compare the new findings about normal math learning to what happens in children with math-learning disabilities.

“In children with math-learning disabilities, we know that the ability to retrieve facts fluently is a basic problem, and remains a bottleneck for them in high school and college,” he said. “Is it that the hippocampus can’t provide a reliable scaffold to build good representations of math facts in other parts of the brain during the early stages of learning, and so the child continues to use inefficient strategies to solve math problems? We want to test this.”

Filed under learning hippocampus memory neuroimaging child development cognitive development mathematics neuroscience science

81 notes

Visual Exposure Predicts Infants’ Ability to Follow Another’s Gaze

Following another person’s gaze can reveal a wealth of information critical to social interactions and also to safety. Gaze following typically emerges in infancy, and new research looking at preterm infants suggests that it’s visual experience, not maturational age, that underlies this critical ability.

The research is published in Psychological Science, a journal of the Association for Psychological Science.

image

“To the best of our knowledge, this is the first study showing that some aspects of the early development of social cognition is influenced by experience, even when the human brain is highly immature,” says psychological scientist Marcela Peña of Pontificia Universidad Católica de Chile, lead researcher on the study. “Our results are important for modeling early cognitive development.”

Previous research on early cognitive development suggests that some cognitive functions develop only after the brain has matured sufficiently, while other cognitive functions develop in response to a rich social environment.

To disentangle the roles played by neural maturation and environmental exposure in relation to gaze following, Peña and colleagues decided to compare the gaze following abilities of preterm and full-term infants.

“Because preterm infants are exposed to face-to-face interactions earlier (in terms of postmenstrual age) than infants who are born at term, they may become sensitive to gaze direction sooner as well,” the researchers explain.

A total of 81 healthy infants participated in the study and they were split into four groups: Full-term 4-month-olds, full-term 7-month-olds, preterm 7-month-olds, and preterm 10-month-olds.

The preterm infants were born 2.5 to 3 months early – thus, full-term 4-month-olds and preterm 7-month-olds had an equivalent postmenstrual age of about 13 months, but the preterm 7-month-olds had an additional 2.5 to 3 months of visual experience as a result of having entered the world early.

While sitting in his or her mother’s lap, the infants were presented with a sound and visual cue to grab their attention. As soon as they were looking at the screen, a video of a woman appeared and the woman made peek-a-boo like gestures. The woman then turned her head and directed her gaze toward one side of the screen; subsequently, a moving toy appeared on each side of the screen. Using an eyetracking system adapted for infants, the researchers were able to monitor which side of the screen infants looked to first. The researchers repeated this procedure with each infant 20 times.

The data showed that preterm 7-month-olds and preterm 10-month-olds behaved like full-term 7-month-olds, looking to the toy on the side of the screen indicated by the woman’s gaze. Full-term 4-month-olds, on the other hand, tended to look randomly to either side.

This pattern of results held even when the woman indicated direction with only her eyes, while her head continued to face forward.

Together, these findings suggest that exposure to visual experience outside the womb may matter most for early gaze following.

“Combined with previous results on vision and language cognition, our results support the idea that the early steps of human cognition develops in an asynchronous way,” says Peña. “Some systems are more or less sensitive to external stimulation, but others can be more influenced by biological maturation.”

Filed under gaze following premature babies infants cognitive development psychology neuroscience science

113 notes

Common chemical in mothers may negatively affect the IQ of their unborn children

In some women abnormally high levels of a common and pervasive chemical may lead to adverse effects in their offspring. The study, published recently in the Journal of Clinical Endocrinology & Metabolism, is the first of its kind to shed light on the possible harmful side effects of perchlorate in mothers and their children.

image

Using data from the Controlled Antenatal Thyroid Study (CATS) cohort, researchers at Boston University School of Medicine (BUSM) and Cardiff University studied the effect of perchlorate, an environmental contaminant found in many foods and in some drinking water supplies, and its effects on children born to mothers with above average levels of this substance in their system. They studied 487 mother-child pairs from women with underactive thyroid glands and in the 50 women with the highest levels of perchlorate in their body, their offspring had below average IQ levels when compared to other children.

"The reason people really care about perchlorate is because it is ubiquitous. It’s everywhere," said Elizabeth Pearce, MD, MSc, associate professor of medicine at BUSM. "Prior studies have already shown perchlorate, at low levels, can be found in each and every one of us."

Perchlorate is a compound known to affect the thyroid gland, an organ needed to help regulate hormone levels in humans. According to Pearce previous studies have attempted to implicate this anti-thyroid activity in pregnant mothers as a possible cause of hypothyroidism, or an underactive thyroid gland. Hypothyroidism in newborns and children can lead to an array of unwelcome side effects, including below average intelligence.

(Source: eurekalert.org)

Filed under perchlorate intelligence pregnancy thyroid gland cognitive development neuroscience science

122 notes

Not too early for maths Bad maths grades, poor participation in class, no interest in arithmetic. Preterm children often suffer from dyscalculia – at least according to some scientific studies. A misunderstanding, claims developmental psychologist Dr Julia Jäkel, who has been studying the performance of preterm children. Thanks to modern medicine, the percentage of preterm survivors is constantly increasing. On the cognitive level, these children frequently have long-term problems such as poor arithmetic skills and difficulty concentrating. For a long time, research focused on high-risk children, born before 32 weeks gestational age or with less than 1,500 gram. Current studies from the most recent years, however, show that this approach is too short-sighted. Dr Julia Jäkel from the Department of Developmental Psychology has analysed cognitive abilities of children born between 23 and 41 weeks gestation. In doing so, she covered the entire spectrum, ranging from extremely preterm to healthy term born infants. For this purpose, she used data of the Bavarian Longitudinal Study, which has been following a birth cohort from the late 80s until today. “Having access to such a comprehensive long-term study is a dream come true for every developmental psychologist,” says the Bochum researcher. Over the course of the study, all children underwent a whole battery of tests that assessed their cognitive and educational abilities, and their parents were interviewed in depth. The RUB researcher has so far mainly focused on data collected at preschool and early school age. For different test tasks, she assessed their cognitive workload, a criterion for the complexity of a given task. The data showed that preterm children had greater difficulties with tasks that demanded higher working memory resources. Moreover, results revealed that not only high-risk children had significant difficulties. On average, the more preterm a child had been born, the poorer were his or her abilities to solve complex tasks. But what exactly is the nature of these difficulties? It has been frequently suggested that preterm children suffer from dyscalculia. A phenomenon that Julia Jäkel examined more closely. “Mathematical deficiencies, maths learning disorder, dyscalculia, innumeracy – these terms’ definitions vary slightly,” she explains, but there are no standardised, internationally consistent diagnostic criteria. In order to assess specific maths deficiencies, children in Germany are assessed with a number of tests. If their results fall below a certain cut off value in maths while their cognitive skills (IQ) are in the normal range, they are diagnosed with “maths learning disorder” or “dyscalculia”. “The problem with preterm children, however, is that they often have general cognitive deficits,” Julia Jäkel points out. “According to current criteria, these children can’t be diagnosed.” Together with Dieter Wolke from the University of Warwick, UK, she compared different diagnostic criteria for dyscalculia in her analysis. The aim of the study was to identify specific maths deficiencies in preterm children that were independent of general cognitive impairments. With surprising results: “There is no specific maths deficit in preterm children if their general IQ is factored in,” says the researcher. This means that preterm children do not suffer from dyscalculia more often than term children. However, they often have maths difficulties and these may not be recognized. This is because the current criteria make it impossible to diagnose dyscalculia if a child also has general cognitive deficits. Thus, these children do not receive specific help in maths although they may be in urgent need. “We need reliable and consistent diagnostic criteria,” demands Julia Jäkel. “And we’ve got to find ways to actually deliver support in schools.” Together with her British team, the psychologist compared the results of the Bavarian Longitudinal Study with “EPICure” data, a similar study that commenced in the UK in the 1990s, following a cohort of extremely preterm children. The researchers focus on mathematical and educational performance. British preterm children had similar cognitive and basic numerical skills as German preterm children. In terms of maths achievement, however, they showed significantly better results. “We explain this with the fact that, unlike in Germany, in the UK it has not been possible for children to delay school entry,” explains Julia Jäkel. “In addition, special schools are attended by only a small percentage of extremely disabled children. All other children are integrated into normal classes in regular schools and receive targeted support there.” The developmental psychologist has already demonstrated that assistance at primary-school age can really make a difference. Parents who support their preterm children with sensitive scaffolding can compensate the negative cognitive effects of preterm birth. It is helpful, for example, if parents give their children appropriate feedback to homework tasks and suggest potential solutions, rather than solving the tasks for the child. However, Julia Jäkel believes that a lot of research is yet to be done as far as intervention is concerned: “A large percentage of parents is very dedicated and has resources to help their children,” she says. “But research has not yet produced anything that would ensure successful results in the long-term.” Together with colleagues from the university hospital in Essen, the RUB researcher plans to investigate the benefits of computer-aided working memory training for preterm children’s school success, which has already been successfully applied on an international level. It would also be helpful if findings from related disciplines, such as developmental psychology, educational research, and neonatal medicine were better integrated. This is, for example, because neonatal medical treatment can significantly affect later cognitive performance. Together with her interdisciplinary team, Julia Jäkel used a comprehensive model to analyse to what extent different neonatal medical indicators affect cognitive development at age 20 months, attention abilities at age six, and maths abilities at age eight years. In her analyses, she factored in child sex and socio-economic status. Results showed that neonatal medical variables, e.g., the duration of mechanical ventilation, predicted cognitive abilities at age 20 months. Both factors together predicted attention regulation at age six years. And all those precursors, in turn, affected long-term general maths abilities. Subsequently, Julia Jäkel analysed the data once again from a different perspective, in order to predict specific maths skills that were independent of the child’s IQ. In that model, only two variables had direct impact: the duration of mechanical ventilation and hospitalisation after birth. In the 1980s, when children participating in the Bavarian Longitudinal Study were born, German doctors often used invasive ventilation methods. Today, less invasive methods are available, but to what extent they may affect long-term cognitive performance has not yet been investigated. “Both too high and too low oxygen concentrations are harmful to brain development,” explains Julia Jäkel. “The neonatologist in charge is faced with the great challenge of determining the right dose for each infant, depending on individually changing situations.” This is why it is so important to integrate psychological models with neonatal intensive care research. The joint objective is to offer preterm children the chance of a successful school career, high quality of life and social participation.

Not too early for maths

Bad maths grades, poor participation in class, no interest in arithmetic. Preterm children often suffer from dyscalculia – at least according to some scientific studies. A misunderstanding, claims developmental psychologist Dr Julia Jäkel, who has been studying the performance of preterm children.

Thanks to modern medicine, the percentage of preterm survivors is constantly increasing. On the cognitive level, these children frequently have long-term problems such as poor arithmetic skills and difficulty concentrating. For a long time, research focused on high-risk children, born before 32 weeks gestational age or with less than 1,500 gram. Current studies from the most recent years, however, show that this approach is too short-sighted.

Dr Julia Jäkel from the Department of Developmental Psychology has analysed cognitive abilities of children born between 23 and 41 weeks gestation. In doing so, she covered the entire spectrum, ranging from extremely preterm to healthy term born infants. For this purpose, she used data of the Bavarian Longitudinal Study, which has been following a birth cohort from the late 80s until today. “Having access to such a comprehensive long-term study is a dream come true for every developmental psychologist,” says the Bochum researcher. Over the course of the study, all children underwent a whole battery of tests that assessed their cognitive and educational abilities, and their parents were interviewed in depth.

The RUB researcher has so far mainly focused on data collected at preschool and early school age. For different test tasks, she assessed their cognitive workload, a criterion for the complexity of a given task. The data showed that preterm children had greater difficulties with tasks that demanded higher working memory resources. Moreover, results revealed that not only high-risk children had significant difficulties. On average, the more preterm a child had been born, the poorer were his or her abilities to solve complex tasks.

But what exactly is the nature of these difficulties? It has been frequently suggested that preterm children suffer from dyscalculia. A phenomenon that Julia Jäkel examined more closely. “Mathematical deficiencies, maths learning disorder, dyscalculia, innumeracy – these terms’ definitions vary slightly,” she explains, but there are no standardised, internationally consistent diagnostic criteria. In order to assess specific maths deficiencies, children in Germany are assessed with a number of tests. If their results fall below a certain cut off value in maths while their cognitive skills (IQ) are in the normal range, they are diagnosed with “maths learning disorder” or “dyscalculia”.

“The problem with preterm children, however, is that they often have general cognitive deficits,” Julia Jäkel points out. “According to current criteria, these children can’t be diagnosed.” Together with Dieter Wolke from the University of Warwick, UK, she compared different diagnostic criteria for dyscalculia in her analysis. The aim of the study was to identify specific maths deficiencies in preterm children that were independent of general cognitive impairments. With surprising results: “There is no specific maths deficit in preterm children if their general IQ is factored in,” says the researcher.

This means that preterm children do not suffer from dyscalculia more often than term children. However, they often have maths difficulties and these may not be recognized. This is because the current criteria make it impossible to diagnose dyscalculia if a child also has general cognitive deficits. Thus, these children do not receive specific help in maths although they may be in urgent need. “We need reliable and consistent diagnostic criteria,” demands Julia Jäkel. “And we’ve got to find ways to actually deliver support in schools.”

Together with her British team, the psychologist compared the results of the Bavarian Longitudinal Study with “EPICure” data, a similar study that commenced in the UK in the 1990s, following a cohort of extremely preterm children. The researchers focus on mathematical and educational performance. British preterm children had similar cognitive and basic numerical skills as German preterm children. In terms of maths achievement, however, they showed significantly better results. “We explain this with the fact that, unlike in Germany, in the UK it has not been possible for children to delay school entry,” explains Julia Jäkel. “In addition, special schools are attended by only a small percentage of extremely disabled children. All other children are integrated into normal classes in regular schools and receive targeted support there.”

The developmental psychologist has already demonstrated that assistance at primary-school age can really make a difference. Parents who support their preterm children with sensitive scaffolding can compensate the negative cognitive effects of preterm birth. It is helpful, for example, if parents give their children appropriate feedback to homework tasks and suggest potential solutions, rather than solving the tasks for the child. However, Julia Jäkel believes that a lot of research is yet to be done as far as intervention is concerned: “A large percentage of parents is very dedicated and has resources to help their children,” she says. “But research has not yet produced anything that would ensure successful results in the long-term.” Together with colleagues from the university hospital in Essen, the RUB researcher plans to investigate the benefits of computer-aided working memory training for preterm children’s school success, which has already been successfully applied on an international level.

It would also be helpful if findings from related disciplines, such as developmental psychology, educational research, and neonatal medicine were better integrated. This is, for example, because neonatal medical treatment can significantly affect later cognitive performance. Together with her interdisciplinary team, Julia Jäkel used a comprehensive model to analyse to what extent different neonatal medical indicators affect cognitive development at age 20 months, attention abilities at age six, and maths abilities at age eight years. In her analyses, she factored in child sex and socio-economic status.

Results showed that neonatal medical variables, e.g., the duration of mechanical ventilation, predicted cognitive abilities at age 20 months. Both factors together predicted attention regulation at age six years. And all those precursors, in turn, affected long-term general maths abilities.

Subsequently, Julia Jäkel analysed the data once again from a different perspective, in order to predict specific maths skills that were independent of the child’s IQ. In that model, only two variables had direct impact: the duration of mechanical ventilation and hospitalisation after birth. In the 1980s, when children participating in the Bavarian Longitudinal Study were born, German doctors often used invasive ventilation methods. Today, less invasive methods are available, but to what extent they may affect long-term cognitive performance has not yet been investigated.

“Both too high and too low oxygen concentrations are harmful to brain development,” explains Julia Jäkel. “The neonatologist in charge is faced with the great challenge of determining the right dose for each infant, depending on individually changing situations.” This is why it is so important to integrate psychological models with neonatal intensive care research. The joint objective is to offer preterm children the chance of a successful school career, high quality of life and social participation.

Filed under dyscalculia mathematics cognitive development brain development children psychology neuroscience science

116 notes

Brain structure, function predict future memory performance in children, adolescents

Assessing structural and functional changes in the brain may predict future memory performance in healthy children and adolescents, according to a study appearing January 29 in The Journal of Neuroscience. The findings shed new light on cognitive development and suggest MRI and other tools may one day help identify children at risk for developmental challenges earlier than current testing methods allow.

image

Working memory capacity — the ability to hold onto information for a short period of time — is one of the strongest predictors of future achievements in math and reading. While previous studies showed that MRI could predict current working memory performance in children, scientists were unsure if MRI could predict their future cognitive capacity.

In the current study, Henrik Ullman, Rita Almeida, PhD, and Torkel Klingberg, MD, PhD, at the Karolinska Institutet in Sweden evaluated the cognitive abilities of a group of healthy children and adolescents and measured each child’s brain structure and function using MRI. Based on the MRI data collected during this initial testing, the researchers found they could predict the children’s working memory performance two years later, a prediction that was not possible using the cognitive tests.

“Our results suggest that future cognitive development can be predicted from anatomical and functional information offered by MRI above and beyond that currently achieved by cognitive tests,” said Ullman, the lead author of the study. “This has wide implications for understanding the neural mechanisms of cognitive development.”

The scientists recruited 62 children and adolescents between the ages of 6 and 20 years to the lab, where they completed working memory and reasoning tests. They also received multiple MRI scans to assess brain structure and changes in brain activity as they performed a working memory task. Two years later, the group returned to the lab to perform the same cognitive tests.

Using a statistical model, the researchers evaluated whether MRI data obtained during the initial tests correlated with the children’s working memory performance during the follow-up visit. They found that while brain activity in the frontal cortex correlated with children’s working memory at the time of the initial tests, activity in the basal ganglia and thalamus predicted how well children scored on the working memory tests two years later.

“This study is another contribution to the growing body of neuroimaging research that yields insights into unraveling present and predicting future cognitive capacity in development,” said Judy Illes, PhD, a neuroethicist at the University of British Columbia. “However, the appreciation of this important new knowledge is simpler than its application to everyday life. How a child performs today and tomorrow relies on multiple positive and negative life events that cannot be assessed by today’s technology alone.”

(Source: alphagalileo.org)

Filed under cognitive development working memory neuroimaging brain activity psychology neuroscience science

101 notes

Index Detects Early Signs of Deviation from Normal Brain Development Researchers at Penn Medicine have generated a brain development index from MRI scans that captures the complex patterns of maturation during normal brain development. This index will allow clinicians and researchers for the first time to detect subtle, yet potentially critical early signs of deviation from normal development during late childhood to early adult. The study, published online in the journal Cerebral Cortex, shows a relationship between cognitive development and physical changes in the developing young brain (aged 8 to 21). “Our findings suggest that brain imaging via sophisticated MRI scans may be a useful biomarker for the early detection of subtle developmental abnormalities,” said Guray Erus, PhD, a research associate in the department of Radiology at the Perelman School of Medicine at the University of Pennsylvania, and the study’s lead author. “The abnormalities may, in turn, be the first manifestations of subsequent neuropsychiatric problems.” Among its key findings is the consistency in healthy brain development of young people. The study examined cognitive performance of outliers – adolescents whose brains developed faster or slower than the normal rates. Early maturers performed significantly better than those with delayed brain development in the speed at which they completed certain tasks. The improved speed of performance indicates increased efficiency in neuronal organization and communication. Slower performance in such tests is a precursor to neuropsychiatric disorders, (the research suggests), including adolescent-onset psychosis.  The 14 tests used in the Penn study evaluate a broad range of cognitive functions including abstraction and mental flexibility, attention, working memory, verbal memory, face memory, spatial memory, language reasoning, nonverbal reasoning, spatial processing, emotion identification, and sensorimotor speed. Penn’s brain development index consolidates a number of complex visual maps derived from sophisticated analysis of MRI scans into a unified developmental template. By looking at an individual’s brain maps in relation to the consolidated findings, researchers can estimate the age of the subject. Subjects whose brain development index was higher than their chronological age had significantly superior cognitive processing speed as measured by the cognitive tests compared to subjects whose brain indices were lower than their actual age. “This is analogous to producing growth charts used in pediatrics to screen for gross abnormalities of physical development,” said Christos Davatzikos, PhD, professor of Radiology and Electrical and Systems Engineering at Penn and one of the study’s co-senior authors. “We can assess individuals in terms of where they place in relation to the overall trends. While single image maps can be used for an accurate estimation of the age of the subject, the combination of all maps achieves a higher accuracy in age prediction than the accuracy of each map independently.” Previous studies have outlined normative trajectories of growth for individual brain regions across the lifespan; the Penn study is the first to present a comprehensive index for the entire brain during late childhood, adolescence, and young adulthood — periods when the healthy human brain maturates in a remarkably consistent way, deviations from which possibly signify later neuropsychiatric problems. The Penn study used a sample of 621 participants in the Philadelphia Neurodevelopmental Cohort, a Grand Opportunity study funded by the National Institute of Mental Health, designed to understand how brain maturation mediates cognitive development and vulnerability to psychiatric illness and how genetics impacts this process. “All of our young study participants have received a standardized neuropsychiatric evaluation at intake, and all agreed to be contacted for future studies. Some are followed up longitudinally,” said Ruben C. Gur, PhD, director of the Brain Behavior Laboratory at Penn and the study’s other co-senior author. “We can therefore follow those who score low on our index and examine whether interventions such as cognitive remediation can mitigate potential symptoms.”

Index Detects Early Signs of Deviation from Normal Brain Development

Researchers at Penn Medicine have generated a brain development index from MRI scans that captures the complex patterns of maturation during normal brain development. This index will allow clinicians and researchers for the first time to detect subtle, yet potentially critical early signs of deviation from normal development during late childhood to early adult.

The study, published online in the journal Cerebral Cortex, shows a relationship between cognitive development and physical changes in the developing young brain (aged 8 to 21).

“Our findings suggest that brain imaging via sophisticated MRI scans may be a useful biomarker for the early detection of subtle developmental abnormalities,” said Guray Erus, PhD, a research associate in the department of Radiology at the Perelman School of Medicine at the University of Pennsylvania, and the study’s lead author. “The abnormalities may, in turn, be the first manifestations of subsequent neuropsychiatric problems.”

Among its key findings is the consistency in healthy brain development of young people. The study examined cognitive performance of outliers – adolescents whose brains developed faster or slower than the normal rates. Early maturers performed significantly better than those with delayed brain development in the speed at which they completed certain tasks. The improved speed of performance indicates increased efficiency in neuronal organization and communication. Slower performance in such tests is a precursor to neuropsychiatric disorders, (the research suggests), including adolescent-onset psychosis. 

The 14 tests used in the Penn study evaluate a broad range of cognitive functions including abstraction and mental flexibility, attention, working memory, verbal memory, face memory, spatial memory, language reasoning, nonverbal reasoning, spatial processing, emotion identification, and sensorimotor speed.

Penn’s brain development index consolidates a number of complex visual maps derived from sophisticated analysis of MRI scans into a unified developmental template. By looking at an individual’s brain maps in relation to the consolidated findings, researchers can estimate the age of the subject. Subjects whose brain development index was higher than their chronological age had significantly superior cognitive processing speed as measured by the cognitive tests compared to subjects whose brain indices were lower than their actual age.

“This is analogous to producing growth charts used in pediatrics to screen for gross abnormalities of physical development,” said Christos Davatzikos, PhD, professor of Radiology and Electrical and Systems Engineering at Penn and one of the study’s co-senior authors. “We can assess individuals in terms of where they place in relation to the overall trends. While single image maps can be used for an accurate estimation of the age of the subject, the combination of all maps achieves a higher accuracy in age prediction than the accuracy of each map independently.”

Previous studies have outlined normative trajectories of growth for individual brain regions across the lifespan; the Penn study is the first to present a comprehensive index for the entire brain during late childhood, adolescence, and young adulthood — periods when the healthy human brain maturates in a remarkably consistent way, deviations from which possibly signify later neuropsychiatric problems.

The Penn study used a sample of 621 participants in the Philadelphia Neurodevelopmental Cohort, a Grand Opportunity study funded by the National Institute of Mental Health, designed to understand how brain maturation mediates cognitive development and vulnerability to psychiatric illness and how genetics impacts this process.

“All of our young study participants have received a standardized neuropsychiatric evaluation at intake, and all agreed to be contacted for future studies. Some are followed up longitudinally,” said Ruben C. Gur, PhD, director of the Brain Behavior Laboratory at Penn and the study’s other co-senior author. “We can therefore follow those who score low on our index and examine whether interventions such as cognitive remediation can mitigate potential symptoms.”

Filed under brain development maturation cognitive development cognitive function brain imaging neuroscience science

117 notes

Genetic Influences on Cognition Increase with Age

About 70 percent of a person’s intelligence can be explained by their DNA — and those genetic influences only get stronger with age, according to new research from The University of Texas at Austin.

The study, authored by psychology researchers Elliot Tucker-Drob, Daniel Briley and Paige Harden, shows how genes can be stimulated or suppressed depending on the child’s environment and could help bridge the achievement gap between rich and poor students. The findings are published online in Current Directions in Psychological Science.

To investigate the underlying mechanisms at work, Tucker-Drob and his colleagues analyzed data from several studies tracking the cognitive ability and environmental circumstances of twin and sibling pairs. According to the findings, genetic factors account for 80 percent of cognition for children in economically advantaged households. Yet disadvantaged children – who rank lower in cognitive performance across the board – show almost no progress attributable to their genetic makeup.

This doesn’t mean disadvantaged children are genetically inferior. Instead, they have less high-quality opportunities, such as learning resources and parental involvement, to reach their genetic potential, Tucker-Drob says. 

“Genetic influences on cognitive ability are maximized when people are free to select their own learning experiences,” says Tucker-Drob, who is an assistant professor of psychology. “We were born with blueprints; the question is how are we using our experiences to build upon our genetic makeup?”

In a related study, Daniel Briley, a psychology doctoral student, examined how genetic and environmental influences on cognition change over time. Using meta-analytic procedures — the statistical methods used to analyze and combine results from previous, related literature — Briley examined genetic and environmental influences on cognition in twin and sibling pairs from infancy to adolescence.

According to his findings, published in the July issue of Psychological Science, genes influencing cognition become activated during the first decade of life and accelerate over time. The results emphasize the importance of early literacy and education during the first decade of life.

“As children get older, their parents and teachers give them increasing autonomy to do their homework to the best of their ability, pay attention in class, and choose their peer group,” says Briley. “Each of these behaviors likely influences their academic development. If these types of behaviors are influenced by genes, then it would explain why the heritability of cognitive ability increases as children age.”

Tucker-Drob says this research highlights the possibilities for bridging the achievement gap between the rich and poor.

“The conventional view is that genes place an upper limit on the effects of social intervention on cognitive development,” says Tucker-Drob. “This research suggests the opposite. As social, educational and economic opportunities increase in a society, more children will have access to the resources they need to maximize their genetic potentials.”

(Source: utexas.edu)

Filed under cognitive development cognition intelligence genetics environment psychology neuroscience science

181 notes

Breastfeeding Duration Appears Associated with Intelligence Later in Life Breastfeeding longer is associated with better receptive language at 3 years of age and verbal and nonverbal intelligence at age 7 years, according to a study published by JAMA Pediatrics, a JAMA Network publication. Evidence supports the relationship between breastfeeding and health benefits in infancy, but the extent to which breastfeeding leads to better cognitive development is less certain, according to the study background. Mandy B. Belfort, M.D., M.P.H., of Boston Children’s Hospital, and colleagues examined the relationships of breastfeeding duration and exclusivity with child cognition at ages 3 and 7 years. They also studied the extent to which maternal fish intake during lactation affected associations of infant feeding and later cognition. Researchers used assessment tests to measure cognition.“Longer breastfeeding duration was associated with higher Peabody Picture Vocabulary Test score at age 3 years (0.21; 95% CI, 0.03-0.38 points per month breastfed) and with higher intelligence on the Kaufman Brief Intelligence Test at age 7 years (0.35; 0.16-0.53 verbal points per month breastfed; and 0.29; 0.05-0.54 nonverbal points per month breastfed),” according to the study results. However, the study also noted that breastfeeding duration was not associated with Wide Range Assessment of Memory and Learning scores. As for fish intake (less than 2 servings per week vs. greater than or equal to 2 servings), the relationship between breastfeeding duration and the Wide Range Assessment of Visual Motor Abilities at 3 years of age appeared to be stronger in children of women with higher vs. lower fish intake, although this finding was not statistically significant, the results also indicate. “In summary, our results support a causal relationship of breastfeeding in infancy with receptive language at age 3 and with verbal and nonverbal IQ at school age. These findings support national and international recommendations to promote exclusive breastfeeding through age 6 months and continuation of breastfeeding through at least age 1 year,” the authors conclude. Breastfeeding and Cognition: Can IQ Tip the Scale? In an editorial, Dimitri A. Christakis, M.D., M.P.H., of the Seattle Children’s Hospital Research Institute, writes: “The authors reported an IQ benefit at age 7 years from breastfeeding of 0.35 points per month on the verbal scale and 0.29 points per month on the nonverbal one. Put another way, breastfeeding an infant for the first year of life would be expected to increase his or her IQ by about four points or one-third of a standard deviation.” “However, the problem currently is not so much that most women do not initiate breastfeeding, it is that they do not sustain it. In the United States about 70 percent of women overall initiate breastfeeding, although only 50 percent of African American women do. However, by six months, only 35 percent and 20 percent, respectively, are still breastfeeding,” Christakis continues. “Furthermore, workplaces need to provide opportunities and spaces for mothers to use them. Fourth, breastfeeding in public should be destigmatized. Clever social media campaigns and high-quality public service announcements might help with that. As with lead, some of these actions may require legislative action either at the federal or state level. Let’s allow our children’s cognitive function be the force that tilts the scale, and let’s get on with it,” Christakis concludes.

Breastfeeding Duration Appears Associated with Intelligence Later in Life

Breastfeeding longer is associated with better receptive language at 3 years of age and verbal and nonverbal intelligence at age 7 years, according to a study published by JAMA Pediatrics, a JAMA Network publication.

Evidence supports the relationship between breastfeeding and health benefits in infancy, but the extent to which breastfeeding leads to better cognitive development is less certain, according to the study background.

Mandy B. Belfort, M.D., M.P.H., of Boston Children’s Hospital, and colleagues examined the relationships of breastfeeding duration and exclusivity with child cognition at ages 3 and 7 years. They also studied the extent to which maternal fish intake during lactation affected associations of infant feeding and later cognition. Researchers used assessment tests to measure cognition.“Longer breastfeeding duration was associated with higher Peabody Picture Vocabulary Test score at age 3 years (0.21; 95% CI, 0.03-0.38 points per month breastfed) and with higher intelligence on the Kaufman Brief Intelligence Test at age 7 years (0.35; 0.16-0.53 verbal points per month breastfed; and 0.29; 0.05-0.54 nonverbal points per month breastfed),” according to the study results. However, the study also noted that breastfeeding duration was not associated with Wide Range Assessment of Memory and Learning scores.

As for fish intake (less than 2 servings per week vs. greater than or equal to 2 servings), the relationship between breastfeeding duration and the Wide Range Assessment of Visual Motor Abilities at 3 years of age appeared to be stronger in children of women with higher vs. lower fish intake, although this finding was not statistically significant, the results also indicate.

“In summary, our results support a causal relationship of breastfeeding in infancy with receptive language at age 3 and with verbal and nonverbal IQ at school age. These findings support national and international recommendations to promote exclusive breastfeeding through age 6 months and continuation of breastfeeding through at least age 1 year,” the authors conclude.

Breastfeeding and Cognition: Can IQ Tip the Scale?

In an editorial, Dimitri A. Christakis, M.D., M.P.H., of the Seattle Children’s Hospital Research Institute, writes: “The authors reported an IQ benefit at age 7 years from breastfeeding of 0.35 points per month on the verbal scale and 0.29 points per month on the nonverbal one. Put another way, breastfeeding an infant for the first year of life would be expected to increase his or her IQ by about four points or one-third of a standard deviation.”

“However, the problem currently is not so much that most women do not initiate breastfeeding, it is that they do not sustain it. In the United States about 70 percent of women overall initiate breastfeeding, although only 50 percent of African American women do. However, by six months, only 35 percent and 20 percent, respectively, are still breastfeeding,” Christakis continues.

“Furthermore, workplaces need to provide opportunities and spaces for mothers to use them. Fourth, breastfeeding in public should be destigmatized. Clever social media campaigns and high-quality public service announcements might help with that. As with lead, some of these actions may require legislative action either at the federal or state level. Let’s allow our children’s cognitive function be the force that tilts the scale, and let’s get on with it,” Christakis concludes.

Filed under breastfeeding cognitive development intelligence cognition language neuroscience science

162 notes

Irregular bed times curb young kids’ brain power Given the importance of early childhood development on subsequent health, there may be knock-on effects across the life course, suggest the authors. The authors looked at whether bedtimes in early childhood were related to brain power in more than 11,000 seven year olds, all of whom were part of the UK Millennium Cohort Study (MCS). MCS is a nationally representative long term study of UK children born between September 2000 and January 2002, and the research drew on regular surveys and home visits made when the children were 3, 5, and 7, to find out about family routines, including bedtimes. The authors wanted to know whether the time a child went to bed, and the consistency of bed-times, had any impact on intellectual performance, measured by validated test scores for reading, maths, and spatial awareness. And they wanted to know if the effects were cumulative and/or whether any particular periods during early childhood were more critical than others. Irregular bedtimes were most common at the age of 3, when around one in five children went to bed at varying times. By the age of 7, more than half the children went to bed regularly between 7.30 and 8.30 pm. Children whose bedtimes were irregular or who went to bed after 9 pm came from more socially disadvantaged backgrounds, the findings showed. When they were 7, girls who had irregular bedtimes had lower scores on all three aspects of intellect assessed, after taking account of other potentially influential factors, than children with regular bedtimes. But this was not the case in 7 year old boys. Irregular bedtimes by the age of 5 were not associated with poorer brain power in girls or boys at the age of 7. But irregular bedtimes at 3 years of age were associated with lower scores in reading, maths, and spatial awareness in both boys and girls, suggesting that around the age of 3 could be a sensitive period for cognitive development. The impact of irregular bedtimes seemed to be cumulative. Girls who had never had regular bedtimes at ages 3, 5, and 7 had significantly lower reading, maths and spatial awareness scores than girls who had had consistent bedtimes. The impact was the same in boys, but for any two of the three time points. The authors point out that irregular bedtimes could disrupt natural body rhythms and cause sleep deprivation, so undermining the plasticity of the brain and the ability to acquire and retain information. "Sleep is the price we pay for plasticity on the prior day and the investment needed to allow learning fresh the next day," they write. And they add: "Early child development has profound influences on health and wellbeing across the life course. Therefore, reduced or disrupted sleep, especially if it occurs at key times in development, could have important impacts on health throughout life."

Irregular bed times curb young kids’ brain power

Given the importance of early childhood development on subsequent health, there may be knock-on effects across the life course, suggest the authors.

The authors looked at whether bedtimes in early childhood were related to brain power in more than 11,000 seven year olds, all of whom were part of the UK Millennium Cohort Study (MCS).

MCS is a nationally representative long term study of UK children born between September 2000 and January 2002, and the research drew on regular surveys and home visits made when the children were 3, 5, and 7, to find out about family routines, including bedtimes.

The authors wanted to know whether the time a child went to bed, and the consistency of bed-times, had any impact on intellectual performance, measured by validated test scores for reading, maths, and spatial awareness.

And they wanted to know if the effects were cumulative and/or whether any particular periods during early childhood were more critical than others.

Irregular bedtimes were most common at the age of 3, when around one in five children went to bed at varying times. By the age of 7, more than half the children went to bed regularly between 7.30 and 8.30 pm.

Children whose bedtimes were irregular or who went to bed after 9 pm came from more socially disadvantaged backgrounds, the findings showed.

When they were 7, girls who had irregular bedtimes had lower scores on all three aspects of intellect assessed, after taking account of other potentially influential factors, than children with regular bedtimes. But this was not the case in 7 year old boys.

Irregular bedtimes by the age of 5 were not associated with poorer brain power in girls or boys at the age of 7. But irregular bedtimes at 3 years of age were associated with lower scores in reading, maths, and spatial awareness in both boys and girls, suggesting that around the age of 3 could be a sensitive period for cognitive development.

The impact of irregular bedtimes seemed to be cumulative.

Girls who had never had regular bedtimes at ages 3, 5, and 7 had significantly lower reading, maths and spatial awareness scores than girls who had had consistent bedtimes. The impact was the same in boys, but for any two of the three time points.

The authors point out that irregular bedtimes could disrupt natural body rhythms and cause sleep deprivation, so undermining the plasticity of the brain and the ability to acquire and retain information.

"Sleep is the price we pay for plasticity on the prior day and the investment needed to allow learning fresh the next day," they write. And they add: "Early child development has profound influences on health and wellbeing across the life course. Therefore, reduced or disrupted sleep, especially if it occurs at key times in development, could have important impacts on health throughout life."

Filed under child development cognitive development irregular bedtimes performance childhood neuroscience science

free counters