SAQ Nov 2024 Summative Flashcards
(42 cards)
Technique used: translation
This response will give a detailed account of how the brain imaging technique (MRI) is used in the Maguire study in relation to the localization of function on the behavior of spatial memory.
Technique used: background
To investigate and compare the changes in the brain in relation to certain behaviors, researchers use a technique called brain scans in order to see visual changes such as the area or matter in the brain. An example of this technique is magnetic resonance imaging (MRI) which creates 3D images of the brain through strong magnetic fields from the energy of atoms.
Technique used: aim
To investigate the differences in the brains between London taxi drivers and non-taxi drivers.
Technique used: procedure
16 London taxi drivers and 50 non-taxi drivers. The taxi drivers were required to have a license for over 1.5 years and had to take a “knowledge test”. All participants underwent two MRI scans, one was pixel counting which measures the area of the brain, and voxel-based morphometry which measures the density of gray matter. To eliminate biases, researchers did a single-blind study, meaning they did not know whose brains they were analyzing.
Technique used: findings
The posterior hippocampus was larger and denser in gray matter, correlating with their ability to navigate and memorize the streets of London. They also discovered that the anterior hippocampus of taxi drivers was smaller but had the same volume as that of non-taxi drivers.
Technique used: LTQ
This demonstrates how the use of the MRI technique allowed psychologists to see the effect of spatial memory on the size of grey matter and area in the brain regarding the Maguire study. It allows researchers to obtain detailed images for comparison between London taxi drivers and non-taxi drivers to gain a better understanding of the localization of function in relation to the behavior of memory. Thus, this technique can help researchers better understand changes in the brain to support their claims and studies.
Localization of Function: translation
This response will give a detailed account of how the Maguire study shows the localization of function in relation to the behavior of spatial memory.
Localization of Function: background
Localization of function is the theory that parts of the brain are responsible for different functions. These functions can be found in areas such as the cortex, limbic system, and brain stem. Within the limbic system, there are 4 areas that have different functions. These areas are the thalamus, hypothalamus, hippocampus, and amygdala. The hippocampus is responsible for memory, obtaining and storing information, and spatial reasoning.
Localization of Function: aim
To investigate the differences in the brains between London taxi drivers and non-taxi drivers.
Localization of Function: procedure
16 London taxi drivers and 50 non-taxi drivers. The taxi drivers were required to have a license for over 1.5 years and had to take a “knowledge test”. All participants underwent two MRI scans, one was pixel counting which measures the area of the brain, and voxel-based morphometry which measures the density of gray matter. To eliminate biases, researchers did a single-blind study, meaning they did not know whose brains they were analyzing.
Localization of Function: findings
The posterior hippocampus was larger and denser in gray matter, correlating with their ability to navigate and memorize the streets of London. They also discovered that the anterior hippocampus of taxi drivers was smaller but had the same volume as that of non-taxi drivers.
Localization of Function: LTQ
This demonstrates localization of function as findings from the Maguire study showed the association between the hippocampus and its role in memory and how the posterior hippocampus is responsible for spatial orientation. This can help us learn more about how different areas are responsible for different functions in the brain such as Broca’s area. This can further help those with Broca’s aphasia improve their production of speech and daily life functioning.
Neuroplasticity: translation
This response will give a detailed account of how the Draganski study demonstrates neuroplasticity in relation to repeated learning and practice.
Neuroplasticity: background
Neuroplasticity is the brain’s ability to adjust based on environmental changes. It involves the breaking, forming, and strengthening of synaptic connections through repeated and consistent behaviour. When the brain undergoes learning or experience, neurons fire together and therefore the synaptic connections between them strengthen. This is because neurons firing together frequently form more synapses between them, allowing the brain to repeat the process more easily.
Neuroplasticity: aim
To investigate if the brains of individuals change when learning and practicing juggling.
Neuroplasticity: procedure
The sample was split into 2 groups: jugglers and non-jugglers. Each group had no juggling experience prior to the experiment, during which an initial MRI brain scan was performed. The juggling group was told to spend 3 months consistently learning how to juggle, whereas the non-jugglers did not learn or practice juggling. Another MRI brain scan was performed after 3 months. For the next 3 months, however, the juggling group was told to not practice their juggling routine. After this, another MRI brain scan was performed.
Neuroplasticity: findings
In the initial brain scan, there was no difference in brain structure between the 2 groups. In the second brain scan, there was significantly more grey matter in the mid-temporal area of both hemispheres. In the third brain scan, the juggling group’s grey matter decreased but remained higher than the initial scan. An interesting finding was that the frequency of practice also correlated with better juggling performance and more significant changes in the brain.
Neuroplasticity: LTQ
This demonstrates neuroplasticity as there was a clear correlation between the amount of practice and the level of change in the brain’s grey matter. The study supports the concept that the brain can adapt to environmental changes, and it establishes neuroplasticity as a fundamental mechanism for the learning of new behaviour.
Neural networks: translation
This response will give a detailed account on how the Draganski study demonstrates the formation of neural networks in relation to repeated learning and practice.
Neural networks: background
Neural networks are formed through neuroplasticity which is the brain’s ability to learn and adapt to environmental stimuli, strengthening and creating neural pathways. Neural networking is the process of neurons firing repeatedly and communicating together, thus, increasing synapses leading to the formation of dendritic branching. The more synapses available for a certain brain behavior, the easier it is for the brain to perform.
Neural networks: aim
The Draganski study aims to explore if the brain would change through new exposures to learning a new task.
Neural networks: procedure
The sample was split into 2 groups: jugglers and non-jugglers. Each group had no juggling experience prior to the experiment, during which an initial MRI brain scan was performed. The juggling group was told to spend 3 months consistently learning how to juggle, whereas the non-jugglers did not learn or practice juggling. Another MRI brain scan was performed after 3 months. For the next 3 months, however, the juggling group was told to not practice their juggling routine. After this, another MRI brain scan was performed.
Neural networks: findings
In the initial brain scan, there was no difference in brain structure between the 2 groups. In the second brain scan, there was significantly more grey matter in the mid-temporal area of both hemispheres in the juggler’s brain. In the third brain scan, the juggling group’s grey matter decreased but remained higher than the initial scan. An interesting finding was that the frequency of practice also correlated with better juggling performance and more significant changes in the brain.
Neural networks: LTQ
The study demonstrates the brain’s ability and capacity to learn new things in response to environmental demands, helping us gain more knowledge on the functions of the brain. It can also help us understand how practicing and performing can have an impact on neurons firing together as well as our behavior.