Thesis Updates

Purpose of Meeting

  • Update progress on Aim 1
  • Rationale for revisions with Aim 2
    • and deletion of Aim 3
  • Suggestions/Concerns for revisions
  • Goal for Graduation (Summer 2020)

Overall Thematic Changes

  • Increased focus on validation of the software (Aim 1)
  • More explicit theoretical justification of the software (Aim 1)
  • New dataset (Aim 2)
  • More straight-forward analysis (Aim 2)

Aim 1:

Create and validate NiBetaSeries to perform beta series correlations

Methods

  • Create NiBetaSeries
  • Simulate correlations
  • Task versus Rest Data
  • Task versus "Pseudo Task" Data

NiBetaSeries

Simulations

Task versus Rest

  • Question: Do beta series correlations detect task condition differences in a cognitive control task? 
  • 61 older adults (65+)
  • Task Switch Task
    • ~40 switch trials
    • ~40 repeat trials
    • Intertrial interval ~ 3.5 seconds

Task versus Rest

Task versus Rest

Task versus Rest

Task versus Rest

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-

~  0.1

~  0.0

Power Analysis: Aim 1

Task versus "Pseudo-Task"

  • Question: Are beta series correlations only driven by the magnitude of the BOLD response? 
  • 61 older adults (65+)
  • Task Switch Task
    • ~40 switch trials
    • ~40 repeat trials

Task versus "Pseudo Task"

Task versus "Pseudo Task":

Model the average response to each task condition for every voxel

Task versus "Pseudo Task"

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+

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Task versus "Pseudo Task"

Task versus "Pseudo Task" versus Rest: Aim 1

Aim 1: Questions?

Aim 2:

Characterize the relationship between beta series correlations and residual correlations during a flanker task.

Methods

  • OpenNeuro ds001751
  • Flanker Task
    • 4 trial types
      • MI-C: 48 trials
      • MI-I: 192 trials
      • MC-C: 192 trials
      • MC-I: 48 trials
    • Inter-Trial Interval ~ 3.0 seconds

Methods Cont.

  • Fronto-Parietal Network
    • Beta Series Correlations
      • (MI-I) - (MC-I) = negative number
    • Residual Correlations
      • (MI - MC) ~ 0?
  • Cingulo-Opercular Network
    • Beta Series Correlations
      • (MI-I) - (MC-I) ~ 0?
    • Residual Correlations
      • (MI - MC) = positive number

Residual Correlations

Residual Correlations

Task Onsets

Task Beta Estimates

Residual Correlations

 - 

=

Residual Correlations

Predictions: Aim 2

Quesions: Aim 2?

What about Aim 3?

Next Steps

Questions/Feedback

Specific Aims Update

By James Kent

Specific Aims Update

  • 651