8.1 fMRI experimental design Flashcards
(27 cards)
What is the point of optimising the experimental design of your study?
so you can later analyse the collected data in the best way possible
What generally are the two types of MRI?
structural (T1, T2 etc)
functional (fMRI, fcMRI)
Does fMRI investigate brains on a neuronal level?
no! fMRI measures brain activity many layers above that
What is the purpose of including experimental controls?
to remove the effect of confounding variables
What are the different types of experimental designs used in MRI?
What sort of statistical test would each of these study designs use?
-between group comparisons (independent t-test)
-within-group comparisons (paired t-test)
-correlations (regressions)
-mixed designs
What is a mixed design study?
a study with ie multiple different groups and multiple different conditions
What is the control group when investigating patients with carriers of an allele of interest with fMRI?
non-carriers of the allele of interest
Can you have fMRI experiments without assigning a task for the participants?
yes! these are fMRI task-free designs
What happens when our brains are ‘at rest’?
never doing nothing: often we engage in forms of introspective and abstract forms of cognition
What happens during functional connectivity of brain networks?
neural networks activate and deactivate together in synchrony
What is the default mode network (DMN)?
Which disease has defects in the DMN?
four regions of the brain which are correlated with functional connectivity during resting state. these regions activate simultaneously during rest
What are spurious correlations?
How to avoid spurious correlations?
strong correlations between two variable which happens by chance and there is no underlying causality
correlation does not equal causation
-have a strong apriori hypothesis in which you believe the experimental variables are correlated
What are the advantages of using MRI?
some are ‘in relative’ terms
-versatile (structural and functional MRI)
-in vivo methodology
-longitudinal designs
-simple statistics
-‘safe and cheap’
-‘translational neuroscience’
What are the disadvantages of using MRI?
-cant have any metal in your body (safety issue as participations are not always clearly written)
-MRI is rather devoid of biological information
-temporal resolution is ‘suboptimal’ as compared to other neuro-techniques (EEG)
What generally are the two types of MRI?
What are the two main areas which structural MRI experiments investigate?
ditto functional MRI?
-structural and functional
-structural: brain volumes and cortical thickness
-functional: resting-state fMRI and task-based fMRI
What is real-time fMRI?
Why is it an improvement from regular MRI?
What are the applications of real-time fMRI?
-novel brain-machine interfaec
-planning neurosurgical interventions (eg. neurosurgeon uses rt fMRI to know which area of brain to remove to treat epilepsy)
-coupling of conscious experience and brain activation
-neural feedback (show images to participant and tell participants do to certain things to improve activation in certain area in the for the next image acquirement)
What are the advantages of real-time fMRI over other MRI feedback methods?
-can directly target specific brain regions with superior spatial resolution due to rt fMRI
-overcomes limitations of other MRI feedback methods (EEG)
How did experimenters show that neural feedback was possible with real time rt fMRI?
used a sham and actual rt feedback. actual rt showed an increase in activation in a particular brain region as actual rt was given to participant whereas sham showed no correlation
What does MVPA stand for?
multivariate pattern analysis = looking at activation distributions of two or more voxels (under different conditions for each voxel) with two different channels
What is the advantage of doing MVPA instead of univariate?
What does univariate investigate?
looking at the conjunction of the two recording channels shows when both voxels are active together whereas univariate cannot. you can get more detailed information about the relationship between two voxels from a multivariate than univariate.
univariate investigates the activity pattern of a single voxel independently
What is a representational dissimilarity matrix (RDM) show?
a correlation matrix which visualises pairwise dissimilarities between the neural activity patterns due to different stimuli/conditions
Kriegeskortes et al. 2008
Which pair of stimulis had the lowest dissimilarity in the RDM? (between human faces, artificial objects, animals etc)
How does the pattern of the RDM in from early visual cortex to a whole human brain?
pairwise stimuli of human faces showed the least dissimilarity in neural activity patterns
-fuzzy pattern showing no categorisation between the same stimuli in early visual ctx -> ev ctx not interested in categorisation of stimuli just the shape/aesthetics -> things are group together if they look similar
whole human brain has pairwise patterns of dissimilarity based on conceptual meaning of stimuli
Did the monkey brain RDM have a pattern more like the human or the early visual cortex RDM?
more like human RDM because monkey reacts to visual stimuli on a conceptual basis and categorises based on concept