From 69254ac0f329302d88187a88d14fa696a91e4772 Mon Sep 17 00:00:00 2001 From: audreycluo Date: Sat, 16 Mar 2024 16:37:47 -0400 Subject: [PATCH] update index.md --- _config.yml | 2 +- index.md | 30 +++++++++++++++++++----------- 2 files changed, 20 insertions(+), 12 deletions(-) diff --git a/_config.yml b/_config.yml index 145d435..8dc4e9f 100644 --- a/_config.yml +++ b/_config.yml @@ -1,4 +1,4 @@ title:
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Project Information and Reproducibility Guide -theme: jekyll-theme-minima +theme: jekyll-theme-minimal diff --git a/index.md b/index.md index 843c41d..bcdfd9e 100644 --- a/index.md +++ b/index.md @@ -83,19 +83,27 @@ Final sample lists for each dataset all live in `/input//sample_selecti All project analyses are described below along with the corresponding code on Github. The following outline describes the order of the analytic workflow: -0. Get static data from PMACS -1. Parcellating the sensorimotor-association (S-A) axis -2. Formatting parcel labels for different cortical parcellations -3. Creating the spin test parcel rotation matrix for significance testing -4. Constructing the sample for each dataset: +*0.* Get static data from PMACS + +*1.* Parcellating the sensorimotor-association (S-A) axis + +*2.* Formatting parcel labels for different cortical parcellations +*3.* Creating the spin test parcel rotation matrix for significance testing +*4.* Constructing the sample for each dataset: * *Discovery: PNC* * *Replication: NKI, HCP-D, and HBN* -5. Constructing connectivity matrices for each dataset -6. Quantifying functional connectivity metrics: global brain connectivity, between- and within-network connectivity -7. Image harmonization: applying [covbat-gam](https://github.com/andy1764/ComBatFamily) to multi-site data (HCP-D and HBN) -8. Fitting generalized additive models (GAMs) and doing age-resolved analysis -9. Characterizing relationships between functional connectivity metrics, age, and the S-A axis -10. Visualizing results! + +*5.* Constructing connectivity matrices for each dataset + +*6.* Quantifying functional connectivity metrics: global brain connectivity, between- and within-network connectivity + +*7.* Image harmonization: applying [covbat-gam](https://github.com/andy1764/ComBatFamily) to multi-site data (HCP-D and HBN) + +*8.* Fitting generalized additive models (GAMs) and doing age-resolved analysis + +*9.* Characterizing relationships between functional connectivity metrics, age, and the S-A axis + +*10.* Visualizing results!