Resting State fMRI: I: From Basics to Advance Applications in in - - PowerPoint PPT Presentation

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Resting State fMRI: I: From Basics to Advance Applications in in - - PowerPoint PPT Presentation

Mar 04, 2023 475 likes •1.13k views

NBML, Webinars, Second Meeting Resting State fMRI: I: From Basics to Advance Applications in in Hamed Ekhtiari, MD, PhD, National Brain Mapping Laboratory (NBML) Main Functional Neuroimaging Softwares tfMRI rfMRI dMRI sMRI Clinically

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NBML, Webinars, Second Meeting

Resting State fMRI: I: From Basics to Advance Applications in in

Hamed Ekhtiari, MD, PhD, National Brain Mapping Laboratory (NBML)

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Main Functional Neuroimaging Softwares

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sMRI tfMRI dMRI rfMRI

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Clinically Meaningful Image-Derived Phenotypes (IDPs)

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Automated Clinically Meaningful Image-Derived Phenotypes (IDPs)

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sMRI tfMRI dMRI rfMRI

Automated Clinically Meaningful Image-Derived Phenotypes (IDPs)

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rfMRI

Automated Clinically Meaningful Image-Derived Phenotypes (IDPs)

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rfMRI

1771 Automated Image-Derived Phenotypes (IDPs)

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rfMRI

? Clinically Meaningful Automated Image-Derived Phenotypes (IDPs)

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sMRI 39 tfMRI 16 dMRI 675 rfMRI 1771

Automated Clinically Meaningful Image-Derived Phenotypes (IDPs)

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1100 Health Related Factors (11 Cat) 2501 IDPs (6 Cat)

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What is Resting Functional MRI?

rfMRI 1771

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TR

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Rest Task Rest Task Rest Task Rest Task Rest

Task-based fMRI (Task>Rest) What happens during REST? (Rest>Task)

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Default Mode Network (DMN)

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Lets do some calculations!

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13 * 12 = ?

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156

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15 * 16 = ?

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240

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23 * 21 = ?

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483

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24 * 15 = ?

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360

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Environmental Cues

Executive Control

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Environmental Cues

Executive Control

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Spontaneous Low Frequency Fluctuations during Rest Have Meaningful Signals

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How to Analyze These Time Series of Data (rfMRI)?

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(Cole, et al., 2010)

Default Mode Network with Seeds in PCC

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(Cole, et al., 2010)

Default Mode Network with Seeds in PCC

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(Cole, et al., 2010)

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Temporal Concatenation

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Temporal Concatenation

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From Group ICA to Individual Maps

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Beckmann, et al., 2005

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Amplitude of Low Frequency Fluctuation (ALFF)

(Zang et al., 2007, 2008)

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Regional Homogeneity (ReHo)

  • Similarity of the time courses within usually 27 neighboring voxels
  • Measured with Kendall Coefficient of Concordance (KCC) (0-1)
  • Recorded as a value for the central voxel
  • Results in a voxel wise KCC values in the individualized maps

(Zang et al., 2004, Liu, et al., 2010)

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rfMRI

Now, What is this?

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IDPs: 55 (out of 100) Nodes (Regional ALFF) and 1695 Edges (Connectivity)!

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Number Matters?

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1100 Health Related Factors & 2501 Image-Derived Phenotypes (IDPs)

sMRI 39 tfMRI 16 dMRI 675 rfMRI 1771

What do you do with this database?

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Levels of Data Analysis

  • 1. Univariate Correlations (one by one)
  • 2. Covariates of No Interest or Confounders (Age, Gender, and etc)
  • 3. Data Driven Multivariate Analysis
  • 4. Hypothesis Driven Analysis

1100 Health Related Factors & 2501 Image-Derived Phenotypes (IDPs) What do you do with this database?

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2.8 million testing

FDR (P= 3.8 . 10−5) and Bonf (P=1.8 . 10−8)

  • 1. Univariate Correlations (one by one)
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  • 1. Univariate Correlations
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