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fNIRS and fMRI: Comparitive Paradigms

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Location

Student Center South

4455 University Dr

Midtown Room

Houston, TX 77004

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We are happy to announce that we will be holding a two day workshop on fNIRS Design and Analysis Methods April 23rd - 24th, 2019 in Houston, TX. The course will provide intensive training in performing fNIRS task-based acquisition and analyses.

The workshop will cover the entire acquisition and processing pipeline from collecting raw fNIRS data to group level inference and will address the modeling consequences of recent advances in acquisition and modeling techniques.

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Workshop highlights:

fNIRS data acquisition optimization

Physiological denoising techniques

-Control of physiological/movement confounds

-Artifact detection and elimination

First level modeling for task designs

Second level modeling from basic to complex

-Regression review

-Categorical predictors

-Continuous predictors

-Covariates

-Repeated measures models

-Mixed within and between factor designs

-Longitudinal models

-Hierarchical linear models

Inference and critical threshold determination - recent controversies and their resolution

Visualization

Anatomical labeling using atlases

Sample size estimation for neuroimaging studies

Guidelines for reporting fNIRS results

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DAY 1

9-10 AM Introduction to fNIRS

  • What is being measured?

  • Comparison of fNIRS and fMRI signals

  • Task vs resting state experiments – background and examples

10-11 AM Experimental design: block, event related, naturalistic

11-12 PM Single subject statistical modeling

  • Modeling task effects

  • Modeling sources of physiological noise

  • Parametric modulators

LUNCH

1 -2PM Experimental design workshop 1 –planning experiments

2 - 3PM Experimental design workshop 2 – programming tasks

3 – 4PM Experimental design workshop 3 – example block design acquisition

4 – 5PM Experimental design workshop 4 – example block design analysis

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DAY 2

9 - 12PM Group statistical modeling

  • Group level GLM review

  • Within and between subject effects

  • Repeated measures

  • Covariates

  • Longitudinal modeling

  • Prediction modeling

  • Fixed and random effects

LUNCH

1 - 2 PM Single subject statistical modeling

3 – 4PM Experimental design workshop 6 – example event-related design acquisition

4 – 5PM Experimental design workshop 7 – example event-related design analysis

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ONLINE SESSIONS – 45 min presentation followed by questions

1 – 1-3PM Basic applications and examples

-visual/auditory

-language

-memory

-movement

2 – Resting state – network modeling

3 – Clinical applications 1

4 – Clinical applications 2


To maintain a high degree of student/faculty interaction, the enrollment will be capped at 30 participants. To complete all the class exercises, participants should bring a laptop with MATLAB, 100 GB of free disk space, and a minimum of 8GB RAM. Please direct any questions to:


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Date and Time

Location

Student Center South

4455 University Dr

Midtown Room

Houston, TX 77004

View Map

Refund Policy

Refunds up to 7 days before event

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