sMRI Flashcards

(76 cards)

1
Q

What does MRI actually measure?

A

Radiofrequency signals emitted from hydrogen protons as they relax after excitation. Signal depends on proton density + T1/T2 relaxation properties.

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2
Q

What does structural MRI measure?

A

High-resolution anatomy: tissue boundaries, shape, thickness, volume, folding.

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3
Q

Why is T1 contrast used for sMRI?

A

It provides strong GM–WM contrast required for segmentation and morphometry.

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4
Q

What makes white matter bright on T1?

A

Short T1 relaxation time due to high myelin/macromolecule content.

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5
Q

What makes CSF dark on T1?

A

Long T1 relaxation time due to high water content.

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6
Q

What is segmentation in MRI and why is it essentail?

A

Classifying each voxel as grey matter, white matter, or CSF.

It produces tissue maps needed for VBM, DBM, SBM, and structural analyses.

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7
Q

What is a voxel

A

A 3D pixel; represents averaged MRI signal from a small cube of tissue.

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8
Q

What are T1 and T2?

A

T1 and T2 are two different relaxation processes that hydrogen protons undergo after being excited by an RF pulse in an MRI scanner.

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9
Q

What is T1 relaxation?

A

Recovery of protons’ longitudinal magnetization (Mz) back toward alignment with the main magnetic field.

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10
Q

How do diffrent tissues differ at their T1 relaxation speeds?

A

Myelin-rich tissue (white matter) → fast recovery → short T1
Water-rich tissue (CSF) → slow recovery → long T1

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11
Q

What are T1 weighted images and their typical appearance?

A

T1-weighted contrast emphasizes differences in longitudinal relaxation.

Typical appearance:

White matter: bright (short T1)

Grey matter: intermediate

CSF: dark (long T1)

used for: structural MRI (anatomy), segmentation, morphometry, cortical surfaces.

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12
Q

What is T2 relaxation?

A

Decay of transverse magnetization (Mxy) due to loss of phase coherence between protons.

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13
Q

Key property of T2 relaxation?

A

More water → slower dephasing → longer T2
Dense or myelinated tissue → faster dephasing → shorter T2

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14
Q

What are T2 weighted images and their typical appearance?

A

Contrast comes from differences in T2 decay.

Typical appearance:

CSF: bright (long T2)
Grey matter: medium
White matter: darker (short T2)

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15
Q

What determines contrast in a T1-weighted image?

A

T1 relaxation times (short T1 = bright (white matter); long T1 = dark (CSF)

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16
Q

What determines contrast in a T2-weighted image?

A

T2 relaxation (how quickly spins lose phase coherence). short T2 = dark (white matter), long T2 = bright (CSF)

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17
Q

Why is MRI not a picture of cellular structure?

A

Resolution is low + signal is indirect, cannot directly see neurons, axons, synapses.

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18
Q

Describe the macroscopic/mesoscopic approach to quantifying brain structure using MRI

A

Concerned with looking at overall shape and size of brain sructures, across multiple voxels.
- manual volumetry
- automatic segmentation algorithms
- morphometry algorithms: VBM and DBM
- surface-based algorithms
- white matter tractography

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19
Q

What is manual volumetry?

A

A macro/meso approach where trained anatomists segment ROIs from brain scans manually; gold standard.

A specific anatomical region (e.g., hippocampus) is manually traced on each slice. The number of voxels inside the tracing is counted.

Volume = voxel count × voxel size.

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20
Q

What is manual volumetry used for? Limitations?

A

Small studies, focused ROIs; it is the gold standard but hard to scale for multiple scans.

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21
Q

What is automatic volumetry

A

A technique that replaces manual segementation; using reference brain maps for guidance, tissue classification based on signal intensity, and image registration (aligning the scan to standard templates)

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22
Q

What is automatic segmentation used for? Limitations?

A

Larger population studies because it is fast, scalable and reproducible. But may be faulty with atypical brains and have poor image quality.

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23
Q

What are morphometry algorithms and what are they used for

A

Algorithms used to identify shape and structure of brain directly from MRI without need to define ROI in advance.

Types:
- VBM: mostly for GREY MATTER
- DBM

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24
Q

General description of VBM

A

In VBM, the brain is classified into WM, GM, and CSF; a single tissue class is selected, then blurred with a Gaussian kernel to give an estimate of the local amount of that tissue type at every voxel, then compared across subjects after linear or coarse nonlinear alignment.

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25
What does VBM measure
Voxel-wise grey matter concentration/probability. Reflects relative amounts of GM/WM per single voxel, allowing for construction of whole-brain grey matter volume maps, which are then compared across subjects
26
Pipeline steps of VBM
1. T1 image acquisition 2. **Segmentation** of image into GM/WM/CSF so that specific tissue type can be extracted and compared quantitatively 3. **spatial normalization** of the images to a standard brain template 4. **smoothing** the extracted tissue type with Gaussian kernel 3. **Voxelwise statistical testing** of individual density maps, to see which voxels/clusters show significant differences in tissue concentration between groups or conditions. 4. Interpret the results: output is a statistical parametric map showing voxels where specific tissue type concetration differs significantly
27
Process of VBM
VBM entails classifying brain into WM, GM, CSF and background, extracting Gray Matter to produce binary GM map, then smoothing the extracted tissue type with a Gaussian kernel to produce map of GM density with values ranging from 0 to 1 representing the amount of gray matter within a local neighborhood as determined by the blurring kernel. ## Footnote SEE THE DIAGRAM IN THE PAPER!!!!!!!!
28
Strengths and limitations of VBM
Strengths: Whole brain, ROI-free analysis, good for studying disease, development and training-related plasticity. Good spatial resolution. Limitations: Noisy, sensitive to registration errors and tissue mixing and motion
29
What does deformation-based morphometry analyze
DBM analyzes how much the brain had to stretch or compress during normalization. Jacobian determinant describes where tissue expands or contracts.
30
Interpretation of DBM
Expansion = Higher local volume relative to the template. Contraction = Lower local tissue volume/atrophy.
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Why is DBM ideal for developmental or longitudinal studies?
It directly measures how much each area had to stretch or shrink over time.
32
What do surface based algorithms measure
By dividing the cortex into inner surfaces and outer surfaces, these algorithms measure the distance between two surfaces and thus thickness.
33
What is SBM?
Surface-Based Morphometry (SBM) is a set of methods that analyze the cortex by treating it as a 2-dimensional folded surface, not a 3-dimensional volume.
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What problem does SBM solve
Volumetric approaches (VBM/DBM) try to match the whole brain volume to a template. This causes problems: Sulci differ across people Gyri shift in position Folding patterns have no one-to-one homology VBM smoothing mixes tissue across sulci Volumetric registration cannot align cortical surfaces accurately SBM solves this by working directly on the cortical sheet, which is topologically consistent across individuals.
36
surface-based morphometry steps
1. tissue segmentation and spatial normalization: locate the grey-white matter boundary 2. surface reconstruction: making 3D mesh model of inside and outside surface 3. surface inflation: explanding mesh so sulci can be visualized 4. surface registration: align surfaces of several individuals 5. morphological analysis: measuring parameters like cortical thickness, area, volume, etc. 6. statistical analysis: GLM models used to ind sig differences in morph measures between groups
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limitations of SBM
- difficulty in accurately delineating lesions with blurry boundaries - inflated false positive rates due to violations of statistical assumptions due to individuals' unique anatomical features - doesn't measure internal volume of structures, like VBM
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What makes SBM superior for cross-subject alignment?
It uses sulcal/gyral landmarks for registration, which are more consistent across individuals than voxelwise intensity patterns, improving spatial correspondence (e.g., Broca’s alignment improves dramatically).
39
Why is SBM ideal for studying development or disease?
Thickness and area have distinct genetic and developmental trajectories, and disease affects them in dissociable patterns, making SBM highly sensitive to subtle, region-specific changes. eg: Schizophrenia → abnormal thinning in DMN regions Depression → widespread thinning in cingulate/fronto-parietal areas Autism → early increased surface area, atypical folding ADHD → delayed cortical maturation SBM can detect these subtle, spatially specific abnormaliti
40
How does SBM integrate with genetics research?
Folding patterns, thickness, and area show high heritability; SBM studies (family/twin designs) reveal genetically driven cortical development and X/Y chromosome effects.
41
What is DBM used for?
Longitudinal studies, growth, atrophy, development
42
What does SBM directly measure?
cortical thickness surface area gyrification sulcal depth
43
Why are DBM and VBM often complementary?
VBM is sensitive to local tissue composition changes, while DBM captures global and regional shape differences. Using both reduces interpretational ambiguity.
44
What problem does surface-based morphometry specifically solve?
The cortex’s highly folded geometry makes voxelwise comparisons inaccurate. By dividing the cortex into inner and outer surfaces and measuring the distance to give thickness, SBM reconstructs white–gray and pial surfaces to measure cortical thickness, area, and folding. Uses cortical surfaces instead of 3D voxels → better anatomical alignment.
45
What exactly is cortical thickness?
The distance between the white–gray boundary and the pial surface, computed along the cortical normal vector.
46
What does white matter tractogrpahy do
Uses diffusion MRI to look at **large white matter tracts**; it has applications for studying structural connectivity, development and white-matter disorders
47
What does diffusion MRI fundamentally measure?
The thermally driven diffusion of water molecules, which reveals restrictions imposed by microstructure (axons, membranes, myelin, extracellular space). ## Footnote Gives information about microenvironment
48
What is the microscopic approach of sMRI
Studies microstructure within singular voxels; how the contents of a voxel are distributed (for white matter!) mostly done using diffusion MRI (dMRI) consists of: - diffusion MRI - magnetization transfer - quantitative susceptibility mapping - quantitative t1/t2 mapping
49
Interpret FA = 0 vs FA = 1.
FA = fractional anisotropy; represents how elongated shape of ellipsoid is (a model of the diffiusion of the water molecules) FA = 0: Isotropic diffusion (CSF, highly disorganized tissue). FA = 1: Purely linear diffusion (perfectly aligned fibers). ## Footnote REstriction of the water molecules gives information about the organization of the tissue inside an imagine voxel
50
Basis of DT
In white mater, water molecules tend to flow along the direction of nerve fibers. Diffusion motion is restricted by denser structures within tissues. If more nerve fibers go in the same direction, water molecules will flow into that direction so the FA will be closer to one. If the fibers are disorganized and go in multiple directions, the FA will be closer to 0. So, the restriction of the water molecule diffusion gives info about the organization of the tissue inside an imagine voxel.
51
Limitations of DTI
- indirect measurements; water motion not exactly equatable to cell structure and is highly sensitive to motion/artifacts - Not biologically specific; confounds fiber crossings, diameter, dispersion.
52
What is Magnetization Transfer (MT) imaging - what does it reflect and compute. what is the MT ratio.
It reflects the interaction between free water protons and protons bound to large macromolecules such as proteins.
53
What does magnetization transfer imaging compute
MT ratio: by applying an off-resonance MT saturation pulse, selectively saturating macromeulcule-bound proton pool. Through cross-relaxation / magnetization exchange, saturation transfers to the free-water proton pool. This reduces the measured MRI signal from the free-water pool. The MT ratio is a proxy for myelination of tissue damage: Higher MTR → greater macromolecular content (e.g., more myelin). Lower MTR → demyelination, inflammation, edema, or tissue damage.
54
What does quantitative T1/T2 mapping measure
Directly measures the absolute relaxation times to infer tissue properties like myelin, iron and water content.
55
Quantitative T1/T2 mapping inference guide
shorter t1 = more mylein/macro longer t1 = more water shorter t2 = denser tissue longer t2 = increased water content
56
What does quantitative susceptibility mapping (QSM) measure?
Uses phase information to measure local magnetic susceptibility, reflecting iron, myelin, calcium content. ## Footnote More direct and specific than T1/T2-based measures
57
What are the two independent relaxation processes that happen at different rates?
**T1 relaxation:** how quickly proton's magnetization realigns with main magnetic field after relaxation **T2 relaxation:** how quickly the protons lose **phase coherence** with each other due to variations in local tissue environment (gray matter has longer T2 than white matter)
58
What tissues have short T1 and why?
Tissues with dense macromolecules (e.g., fat, myelin-rich white matter) have short T1 because they provide efficient energy exchange, allowing rapid recovery of Mz. Exam trick: Myelin shortens T1 → brighter WM on T1 images.
59
Why is T2 always shorter than T1 for the same tissue?
Dephasing (T2) requires only tiny microenvironmental field differences, whereas T1 requires slower energy exchange with the lattice. Therefore phase coherence is lost faster than longitudinal magnetization regrows. T2 ≤ T1 always.
60
How do T1 and T2 differences create MRI contrast?
Through careful choice of repetition time (TR) and echo time (TE): Short TR + short TE → T1-weighted Long TR + long TE → T2-weighted Adjusting TR and TE amplifies differences in recovery (T1) or dephasing (T2) between tissues.
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Shorter T1
more myelin or macromolecules
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longer T1
increased water content
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shorter T2
denser tissue
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longer T2
increased water content
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Strengths and weaknesses of macro/meso and micro approaches
macro/meso: large-scale mpas of structure, but only indirectly reflect tissue composition micro: specific to looking at bio properties (myelin, axons, iron) at tissue-level but remain model-dependent, and require longer, complex scans and carefui interpretation Combination of these scales is future of neuroanatomy.
66
Why does motion create spurious gray matter loss?
Motion blurs boundaries, lowering apparent GM intensity during segmentation → the algorithm mislabels GM as WM/CSF, mimicking atrophy. Motion effects mirror true neurodegeneration patterns.
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Name methods to reduce motion artifacts.
Using comfortable padding and optimized head fixation Using multi-echo MRI sequences: scanner collects several images at diff echo times during each scan then combines these to obtain a more stable and less distorted image Prospective motion correction (navigators, external tracking) Post-hoc: exclusion, motion regressors, outlier replacement
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Who moves more in MRI scans and why is this devastating?
children elderly psychiatric patients neurologically impaired Since these groups differ systematically from controls, motion can perfectly confound group effects.
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What are B₀ field inhomogeneities and where are they worst?
Variations in the static magnetic field caused by air/tissue boundaries, especially near orbitofrontal and temporal regions (areas near air spaces) ## Footnote This may lead to parts of the brain looking stretched or compressed
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How to reduce effects of field inhomogeneties?
Shimming: applying small corrective magnetic fields to make the main magnetic field more uniform, but cannot fully fix distortions in regions where magnetic changes are very sharp (like the frontal sinuses or temporal lobes)
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Why does dura contamination inflate cortical thickness estimates?
The dura has similar T1/T2/PD properties to gray matter at typical resolutions; segmentation algorithms confuse them, creating artificially thick cortex. ## Footnote This may lead to confused segmentation algorithms: dura contamination
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What is the best solution to dura contamination?
1. inspect software-generated cortical segmentation overlays, visually checking overlay of the image near the CSF and dura. 2. Multiecho sequences. which capture T2 differences, as the dura loses its signal faster than gray matter; if you slightly increase TE, dura becomes darker and easier to tell apart from grey matter.
74
What is the core challenge of spatial normalization after MRI acquisition,a cross subjects?
no one-to-one anatomical mapping of sulcal patterns across individuals. Folding variability of cerebral and celebellar cortices prevents perfect alignment (**registration**) between brains. ## Footnote Even worse with volumetric registration used in VBM
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How to handle misregistration
Use surface-based registration instead of volumetric registration → Aligns brains based on cortical folding patterns rather than voxel intensity, giving much better anatomical correspondence (especially for cortex). Visually inspect registrations → Check overlays for mismatched sulci/gyri, tissue boundaries, stretching, or compression artifacts. Model misregistration as informative variability → Treat consistent alignment errors as reflecting real anatomical differences rather than noise (Lerch et al. explicitly note this). Improve alignment using folding-based or sulcal-shape mapping → Directly align cortical features (sulcal depth, curvature), which improves localization of effects (e.g., Broca’s alignment improves drastically).
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What is population neuroscience?
Integration of genetics, epidemiology, environment, and MRI to understand brain variation across populations, rather than patient/control samples.