Neuroimaging in disease Flashcards
What is dementia?
An umbrella term used to describe a collection of symptoms caused by brain diseases - it is not a normal part of ageing
Main symptoms involve loss of memory and thinking abilities that interfere with every day activities
Why do people get dementia?
Biggest factor = age
Genes = familial dementia (used in research)
Environment
What causes dementia?
15% of cases are genetic - mutated gene
85% of cases is sporadic - we still do not know why although many factors contribute
What was the main hypothesis of Alzheimer’s for a long time?
Amyloid cascade hypothesis
What has structural MRI found about dementia?
A reduction in brain size
MRI does not have the resolution to image beta amyloid plaques
What is useful about PET imaging?
Only method where tau and beta amyloid can be measured in the brain
What does most present research focus on?
FDG for metabolism and PiB for beta amyloid
What are FDG and PiB measures?
FDG = fluorodeoxyglucose - measurement of glucose uptake
PiB = Pittsburgh compound B (radioactive analog of thioflavin T which can be used in PET to image beta amyloid plaques in neuronal tissue)
What else can MRI give in the fight against disease?
Functional connectivity of the human brain - not only for disease
What has fMRI told us about functional connectivity?
Functional connectivity has transformed fMRI research
Most dominant measure in fMRI field and has identified many networks
Primary visual
Primary motor
Extra-striate visual
Insular-temporal/ACC
Parietal-frontal (left and right)
Default mode network
Frontal
What is the significance of functional connectivity in disease?
Appears to be changing in many diseases
ALS (amyotrophic lateral sclerosis)
Multiple sclerosis
Depression
Parkinson’s disease
Alzheimer’s
How are the functional connectivity regions identified?
Most basic way is using seed based correlation
Based on the time series of a seed voxel (ROI), connectivity is calculated as the correlation of time series for all other voxels in the brain
Example:
In a resting state experiment, pp placed in MRI scanner and asked to think of nothing in particular
BOLD fMRI signal is measured
Conventional task-dependent fMRI can be used to select a seed region of interest
To examine the level of functional connectivity between the selected seed voxel and a second brain region e.g., motor cortex, the resting state time series of the seed voxel is correlated with the resting state time series of the motor cortex
A high correlation between the time series of both voxels is reflecting a high level of functional activity between these regions
What is ICA?
Independent component analysis
= Attempts to extract underlying signals that, when combined, produce the resulting brain signal
ICA methods are designed to search for a mixture of underlying sources that can explain the resting state patterns, looking for the existence of spatial sources of resting-state signals that are maximally independent from each other
What is linked to ICA?
Graph analysis - a way of seeing how all the networks interact with each other
Model the brain as a complex network represented graphically as a collection of nodes (anatomical elements e.g., brain regions) and edges (functional connectivity
What is the major goal of brain imaging?
Combining structural and functional connectivity
Structural DTI imaging - high resolution fibre tracts
Using graph theory to define functional networks working across the brain
Understanding the entire brain connectome - the brain initiative