Developmental Neuropsychology: Executive function and social cognition in the adolescent brain


Executive function and social cognition in the adolescent brain 

Adolescence is a period of development characterized by intense fluctuations in both physical and hormonal change. Research has been sparse in this area, empirical research on neural and cognitive development is still lacking. For such a period that reflects the growth of cognitive flexibility, self-consciousness and changes in identity, the need for further research is apparent.

Beginning to experiment on adolescent brains

Through studies on animals, we have seen that specific sensory regions of the brain go through sensitive periods starting after birth, in which environmental stimulation seems to be crucial fro the normal development of the brain and perceptual capabilities. Experiments suggest that while this is true for animals, it may also be true for humans. During the 1970’s and 1970’s, it was demonstrated that certain brain areas, especially the prefrontal cortex develop far beyond early childhood. Further studies in the decades that followed showed that during the period of puberty and adolescence, the structure of the prefrontal cortex goes through substantial changes. Two important changes highlighted are:

  1. Myelination (increasing the transmission speed of neural information)
  2. Synaptogenesis (regularly used connections are strengthened and seldom used connections are removed)

Synaptogenesis was first found in 1975 within experiments using cats and was further researched using rhesus monkeys. Synaptic pruning (a period of synaptic destruction) and synaptogenesis in the brain area the prefrontal cortex exist on a differential time line. Proliferation of synapses occurs in the prefrontal cortex during childhood and once again during puberty, however this is followed by a stagnant period and elimination and reorganization of prefrontal synaptic connections following puberty.

An overall decrease in synaptic density as a result of synaptic pruning in the frontal lobes ensues during adolescence. This process is thought to be essential for refining the effectiveness of neural networks. This is especially true when given the sensitive case of sound recognition development.

The adolescent brain seen through MRI

Through the implementation of modern technology, it has become possible to view the brain of living specimens. With the introduction of magnetic resonance imaging, we can non-invasively view the human brain in a detailed three-dimensional visual. This has been instrumental in the furthering of research on the maturation of the frontal cortex of adolescence and onwards into adulthood.

Linear increases in white matter during adolescence

Over the past years, researchers have found one consistent outcome across MRI studies: during adolescence and childhood there is a steady increase in white matter located in certain brain regions. One study found a significant between the white and grey matter levels between two age groups. This increase in white matter has been suggested to be the result of developmental changes by some studies. One study found an increase in white matter in the right internal capsule and left arcuate fasciculus. Both regions are associated with speech so it was hypothesized that the increase in white matter was due to speech development.

Non-linear decreases in grey matter during adolescence

Grey matter, in contrast to white matter, does not seem to follow a linear pattern. Rather it seems to follow a region specific, non-linear pattern. Research has shown that grey matter follows an inverted-U shape in certain brain regions. Studies suggest that grey matter volume in the frontal lobe reaches its peak during puberty, which is then followed by a stagnation period and a steady decline until though adolescence until early adulthood. MRI research on the decline of grey matter throughout adolescence has two explanations:

  1. Axonal myelination both facilitates an increase in white matter and a decrease in grey matter
  2. The decrease in grey matter is a reflection of the reorganization which occurs during puberty

Examining the role of gender differences in the development of brain structure

Research has shown that there exists a significant difference in the amount of grey and white matter found in males and females. This was particularly true in the area known as the inferior frontal gyrus (IFG). Researchers corrected for the possible confound of total cerebral volume but still they found that males had a significantly higher amount of grey matter. Some researchers believe this difference is a result of differential steroid levels, others believe it may be due to greater hemispheric specialization found in males. As of current research, more study is needed to examine variability in frontal cortex anatomy.

The continuing brain changes after adolescence

Recent research using MRI suggests that the period at which the brain reaches maturity could be later than the end of adolescence. This change is seen especially in the frontal and parietal cortices following post-mortem cellular examinations of human brains which support an extended period of development. The adolescent brain appears to develop in a dynamic nature when looking at the growth of white and grey matter.

Examining the development of executive function

Executive functioning refers to a set of cognitive mechanisms which govern how well we control and coordinate our behavior and cognition. Lesion studies have shown that many of the skills involved in executive functioning are dependent on the frontal lobes. Given that changes occur in the frontal cortex during adolescence, executive functioning might be expected to improve during this period. Behavioral studies have shown that inhibitory control, processing speed, working memory, and decision making continue to develop throughout adolescence.

Examining the development of social cognition

Evidence suggests that the prefrontal cortex is associated with many high level cognitive functions, such as self-awareness and theory of the mind. In tandem with this neural development, puberty marks a great period of change for hormonal development. These two factors combined mark a significant change in social cognition. Research concerning the effects of puberty on social cognition capacitates has been limited.

Looking at perspective taking

The act of perspective taking refers to putting oneself in another’s shoes and it is an essential component for effective social communication. This act of estimating what another individual is thinking is  related to the first-order theory of mind. It is an area of much theoretical debate. One view surmises that we understand others by simulating their actions and cognitions. In support of this, research has shown that similar brain areas are activated when we perform an action and when we see another perform the same action. This is in line with the function of mirror neurons.  

The adolescent brain in action seen through fMRI

With the introduction of fMRI, we have a safe and effective way to examine brain regions.  As an example, through the use of fMRI we were able to examine how response inhibition has developed in addition to examining the structure supporting its development. During studies involving inhibition of a normal response, it was shown that activation of certain brain regions was for the most part the same across age groups.  An exception was a significantly larger volume of activation in the prefrontal of children. In contrast to this, adults showed higher activation in the ventral region of the prefrontal cortex. One suggested reason for this is that children have a heftier dependence on this area than adults.

The confounds on task performance

An issue which has been found when conducting fMRI is that of confounding effect of task performance. If there is a difference in the performance between two groups i.e. one outperforms the other, the results are often difficult to interpret.

Examining the development of social cognition within the brain

In terms of brain regions, the amygdala is an area which has repeatedly been shown to have a high functioning role in facial recognition and emotional processing. Though research in this area has been investigated with adolescents, still little is known about the continued development of facial recognition. Studies have shown that children may identify neutral faces as being more ambiguous than fearful faces, resulting in an increase in activation in the amygdala.

Effect on teenagers

puberty marks a period of synaptic reorganization, and as a result can be more susceptible to experiential input, in particular regarding social cognition and executive functioning. Further studies are needed to examine the further development of brain maturation beyond childhood and the implications this has on cognition. The authors specify questions into which skills undergo perturbation, sensitive periods for improvement and how does the environmental quality impact the changes which occur in the brain.

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Study guide with articlesummaries for Developmental Neuropsychology at the University of Groningen

Articlesummaries with Developmental Neuropsychology at the University of Groningen

Table of content

  • Executive function and social cognition in the adolescent brain
  • Cognitive control and motivational systems
  • Mild spastic cerebral palsy
  • Treatments and guidelines for phenylketonuria
  • ADHD
  • Autism
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Developmental Neuropsychology

Developmental Neuropsychology: Executive function and social cognition in the adolescent brain

Developmental Neuropsychology: Executive function and social cognition in the adolescent brain


Executive function and social cognition in the adolescent brain 

Adolescence is a period of development characterized by intense fluctuations in both physical and hormonal change. Research has been sparse in this area, empirical research on neural and cognitive development is still lacking. For such a period that reflects the growth of cognitive flexibility, self-consciousness and changes in identity, the need for further research is apparent.

Beginning to experiment on adolescent brains

Through studies on animals, we have seen that specific sensory regions of the brain go through sensitive periods starting after birth, in which environmental stimulation seems to be crucial fro the normal development of the brain and perceptual capabilities. Experiments suggest that while this is true for animals, it may also be true for humans. During the 1970’s and 1970’s, it was demonstrated that certain brain areas, especially the prefrontal cortex develop far beyond early childhood. Further studies in the decades that followed showed that during the period of puberty and adolescence, the structure of the prefrontal cortex goes through substantial changes. Two important changes highlighted are:

  1. Myelination (increasing the transmission speed of neural information)
  2. Synaptogenesis (regularly used connections are strengthened and seldom used connections are removed)

Synaptogenesis was first found in 1975 within experiments using cats and was further researched using rhesus monkeys. Synaptic pruning (a period of synaptic destruction) and synaptogenesis in the brain area the prefrontal cortex exist on a differential time line. Proliferation of synapses occurs in the prefrontal cortex during childhood and once again during puberty, however this is followed by a stagnant period and elimination and reorganization of prefrontal synaptic connections following puberty.

An overall decrease in synaptic density as a result of synaptic pruning in the frontal lobes ensues during adolescence. This process is thought to be essential for refining the effectiveness of neural networks. This is especially true when given the sensitive case of sound recognition development.

The adolescent brain seen through MRI

Through the implementation of modern technology, it has become possible to view the brain of living specimens. With the introduction of magnetic resonance imaging, we can non-invasively view the human brain in a detailed three-dimensional visual. This has been instrumental in the furthering of research on the maturation of the frontal cortex of adolescence and onwards into adulthood.

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Developmental Neuropsychology: Cognitive control and motivational systems

Developmental Neuropsychology: Cognitive control and motivational systems


Cognitive control and motivational systems in developmental neurobiology

Cognitive control is an executive process which can be vital to the maintenance and monitoring of long term goal oriented behavior. In the past, the development of cognitive control has been explained as a growth from infancy to adulthood. The role of context on cognitive control impacts one’s  behavioral regulation abilities, for example in a stressful context one may experience diminished control.  Recent studies suggest that cognitive control capacity is impacted by specific periods of development whereby one is more susceptible to incentive based modulation.

When examining studies on cognitive control performed in a controlled laboratory settings, we see a relatively stable improvement in cognitive control capacity from infants progressing to adults. However, outside of the laboratory setting, this is often not the case. This is particularly true for adolescence, who experience a reduced capacity for cognitive control when exposure to potentially risky behavior is at its peak. These fluctuations in behavior give evidence of dynamic maturation of the brain mechanisms responsible for motivation and cognitive processes. Two areas of the brain are highlighted for their importance in cognitive and motivational processes: the prefrontal cortex (essential for cognitive control) and the striatum (important for identifying interesting cues in an environment).

Examining the role of motivational modulation of cognitive control across development

Recently, research on the development of adolescences has focused on comparing cognitive capacity in neutral settings as opposed to motivational contexts. This research has implied that there exists a unique influence of motivation on cognition during the adolescent period, and that sensitivity to environmental cues (in particular incentive cues) changes at various points in development.

The behavior of adolescents has been shown to be differentially biased in motivational contexts. Studies have shown that motivational cues of potential reward are especially salient and potentially lead to the engagement in risky behavior and the further weakening of goal-orientated behavior. 

Corticosubcortical control and its developmental neurobiology

This has led to the development of a neurobiological model of motivational and cognitive processes which aims to explain the behavior of adolescents outside of a laboratory context. Working with this model leads to the suggestion linear development of top down prefrontal regions relative to a n-shaped function for the development of bottom-up striatal regions involved in detecting particularly interesting cues in the environment.

The findings of Pasupathy and Miller

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Developmental Neuropsychology: Mild spastic cerebral palsy

Developmental Neuropsychology: Mild spastic cerebral palsy


Mild spastic cerebral palsy: An event-related brain potential study of error detection and response adjustment 

The term cerebral palsy is used to define a number of disorders which affect posture and movement. Cerebral palsy is attributed to damage or abnormal development in the developing brain of fetus’s or infants. Though there are many contributing factors to cerebral palsy, one of particular note are infarcts (tissue death as a result of lack of oxygen) which lead to lesions in white and grey matter tracts. These lesions to white matter tracts are detrimental to executive functioning which has been proven when testing youths with cerebral palsy against a control group without.

The question posed by this study is whether youths with mild spastic cerebral palsy are aware of their errors when carrying out tasks requiring executive functioning.

It has often been the findings of neurocognitive research that poor motor preparation precedes error making. Error detection and the adjustments which follow are measured in this case using response-locked error-related negativity. The brain potential for incorrect responses is markedly higher than those following correct responses.

Method

Participants consisted of 11 patients, with a mean age of 14 years, diagnosed with mild cerebral palsy and a control group of 12 youths without cerebral palsy, with a mean age of 14, recruited from the same city. Though the intelligent quotient of some of the youths with mild cerebral palsy was within the range of learning disabilities, none were classified as being mentally retarded, as their daily lives were intact.

A computer based stimulus recognition task and electroencephalograms were used to record brain activity in the study. The task used was comparable to the Sternberg short-term memory paradigm. Participants were presented with 2 letters to be memorized, then were subsequently shown 4 letters, one or none of which were the letters which were memorized. Using two response buttons, participants would indicate either yes or no whether they identified there target letters in the new set. Reaction time was measured starting when the new set appeared until a button was pressed. Total time for the experiment was about 15 minutes.

Results

The results of the experiment find that the control group made more correct responses and less error responses than the experiment group. In addition, the patient group reacted slower on average than

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Developmental Neuropsychology: Treatments and guidelines for phenylketonuria

Developmental Neuropsychology: Treatments and guidelines for phenylketonuria

Revision of treatments and guidelines for phenylketonuria: evidence from neurocognition

An inborn, inherited, error of metabolism, phenylketonuria (PKU) is a rare, highly treatable disease. In contrast to its relatively treatable nature, when left untreated, PKU can result in seizures, intellectual disability, and further medical issues. The most common method for prevention is the early introduction of a strict diet highlighting the restriction of phenylalanine (Phe). Despite its treatability, patients with PKU show an average 8-10 points lower than normal in addition to underperforming in neuropsychological tests.

Cognitive impairments have been associated with concurrent blood Phe levels, and even more so with lifetime blood Phe levels. The question being raised by the authors concerns whether or not the recommend Phe level for patients with PKU is too high. Currently, from the age of 0-10, this level varies between 240 and 360 micromolars/L. The drawback is that this range is not the result of studies comparing outcomes at Phe levels <240 micromolar/L, between 240 and 360 micromolar/L, and >360 micromolar/L.

Current treatment advises an absolute upper target level for Phe levels, not taking into account possible fluctuations of Phe values and the phenylalanine:tyrosine ratio (Phe:Tyr). This feeds into the second area of question the authors pose: what are the effects of lifetime Phe, concurrent Phe, variation in lifetime Phe levels, and lifetime and concurrent Phe:Tyr in predicting cognitive outcome in early and continuously treated children and adolescents with PKU

Methods

Participants consisted of 67 patients with PKU with a mean age of 10.8, and a control group of 73 participants with a mean age of 10.9 recruited from friends and families of patients and also local newspaper advertisements. Of the patients with PKU, 27 had pretreatment Phe levels of > 1200, 18 had pretreatment Phe levels between 600-1200, and 18 had pretreatment Phe levels <600, and 12 patients had pretreatment Phe levels <360. To test for concurrent Phe and Tyr levels, a blood sample was taken in the morning following an overnight fast. This was also used to test for lifetime Phe level. Through a series of computer based neuropsychological tests, executive functions inhibitory control and motor control were measured.

Results and discussion

Patients with Phe levels >360 differed in 2 of 3 inhibition tasks, motor control, and cognitive flexibility. Controls performed notably more accurately than patients with Phe levels between 240-360. A key finding was that patients with Phe levels <240 performed no different to the control group. Additionally, patients with Phe levels <240 outperformed those with Phe levels between 240-360.

It was found that Phe variation, lifetime and concurrent Phe, and lifetime and concurrent Phe:Tyr were significantly related to speed and accuracy on numerous cognitive tests and also to each other.

The two major findings of this study are:

  1. Youths from the age of 6-15 with mean Phe levels of <240 since birth outperformed their peers with Phe levels between 240-360 on cognitive tests measuring motor control, inhibition, and cognitive flexibility.
  2. Phe:Tyr and Phe variation may have predictive value
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Developmental Neuropsychology: ADHD

Developmental Neuropsychology: ADHD


Examining a pilot study of methylphenidate, interstimulus interval, and reaction time performance of children with attention deficit/hyperactivity disorder

Attention deficit/hyperactivity disorder (ADHD) is one of the most common found disorders in children. Characterized by inattention and hyperactivity, ADHD is primarily an inherited disorder. Treatment usually involves methylphenidate (MPH), which works by regulating the dopamine system. This often results in a decrease in impulsivity, hyperactivity, and inattention. Despite this, children on MPH still experience deficits in cognitive faculties. Other studies have shown that children with ADHD perform differently depending on the length of a stimulus they are exposed to. If the stimulus is a short interstimulus interval (ISI), the children experience a more positive performance in comparison to a long ISI. A short ISI has been shown to improve memory recognition, vigilance, motor timing, and more. It is thought that both MPH and a short ISI act upon the dopamine levels in the brain. It is proposed that having both of these working at the same time may over-activate the system and lead to detrimental effects. The goal of this study was to measure the isolated and combined effect of MPH and ISI on mean response times and errors of commission.

Procedure

For this study the sample consisted of 13 children (10 boys; 3 girls) diagnosed with ADHD. During the time of the study, MPH was gradually introduced for a two week period, either adjusting to a higher or lower dosage. After the children had been on MPH for 4 weeks, they were tested twice, once after the administration of MPH, and once after a placebo. The task which the participants engaged in was a computer based reaction time test known as Go/No-Go test. This involved pressing a button when the letter Q appeared onscreen and press nothing when the letter O appeared. If the participant responded to the letter O, this was recorded as an error of commission.

Looking at results

The results from the study indicate:

  1. Children respond faster on MPH than not on MPH

  2. Children respond faster in a condition with a short ISI rather than a long ISI

  3. The interaction of ISI and MPH was not significant

  4. Children on MPH made more errors of commission during the condition with a short ISI

  5. Children on the placebo made fewer errors of commission during the condition with a short ISI

For discussion

This study set out to ascertain

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Developmental Neuropsychology: Autism

Developmental Neuropsychology: Autism


Investigating the role of the frontal cortex in autism

Little is known about the underlying neural developmental defects which result in the emergence of autistic behavior during the early years of life. The frontal lobe has been identified as the most likely region to be involved, and yet little is known about it. The frontal lobe plays a key role in higher order language, cognitive, emotional, and social faculties, each one affected by autism. This has provided support for the frontal lobe hypothesis of autism. Through the collection of data from MRI and postmortem anatomical, and also already existing neurofunctional, postmortem, and MRI results from more mature autistic patients, the authors find two suggestions:

  1. In patients with autism, the frontal cortex is poor at interacting with other cortical regions

  2. During early development, the frontal cortex appears to be irregularly over-connected with itself

Examining macroscopic evidence of early frontal maldevelopment

Brain growth of patients with autism is normal at birth, ranging from average to slightly smaller than average. However this is followed by a period of excessive growth which results in an enlarged brain volume at the toddler age. Investigations into which brain regions cause this growth indicate the frontal lobes to be at the site of peak growth. Grey and white matter in the frontal lobes are both disparately deviant in regards to other cortical regions. While several studies have shown that primary sensory cortices in autism function normally, the same cannot be said for the frontal lobes. The deficient functionality found in the frontal lobe is hypothesized as being a factor which disrupts the frontal lobes interaction with other areas of the brain. It is unknown whether autism is to be classified as disorder of overconnectivity, underconnectivity, or a combination of the two.

Examining microscopic evidence of frontal maldevelopment

There remains a lack of knowledge on the microstructural abnormalities that disrupt frontal neural circuit development, facilitate the macroscopic overgrowth of frontal white and grey matter, and facilitate abnormal frontal mediated behavior. Where the link exists between abnormal neuroinflammatory response and initial brain overgrowth in autism is a mystery. It has been suggested that activated glia could be a reflection of a fetal state or development. When it comes to cerebral cortical information processing, a cortical minicolumn is an essential component. Studies have shown that minicolumns and their surrounding neuropil space are unusually small in children with autism throughout the frontal cortex, but not the occipital cortex. One older study found an increased neuron density and reduced

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