MLINDIV

Maze Learning - Individual Differences (MLINDIV) is an expansive project that employs neuroimaging, behavioral testing, and computational methods to tease out individual differences in spatial navigation. More specifically, this project uses MRI data obtained from nearly 100 subjects before, during, and after their participation in a maze navigation experiment to explore neurological and behavioral differences in memory, learning, decision making, and other cognitive processes. This repository is meant to hold the most up to date scripts necessary for each subproject tied to MLINDIV.

1. Preprocessing

• Behavioral
• fMRI
• DSI

2. Behavioral

• Behavioral Analysis
• Maze Learning Map

3. Head Direction

• Head Direction Behavioral Analysis
• Head Direction Neural Analysis

4. Dynamic Connectivity

• Construct Dynamic Connectomes
• Dynamic Graph Metrics Analysis
• Individual Differences in Dynamic Metrics

5. Connectome Predictive Modeling

• Construct Dictionary-Learning Atlas
• Split & Model Functions
• Performance Analysis
• Feature-Weight Mapping

6. Hippocampal Subfields

• Segmentation
• Structural Analysis

7. Diffusion Spectral Imaging

8. Voxel-Based Morphometry

9. Old Analyses

10. MLINDIV Stored Files

Raw MRI Data
/mnt/chrastil/lab/data/MLINDIV/raw/rawData

Raw Behavioral Data [E-Prime]
/mnt/chrastil/lab/data/MLINDIV/raw/raw_behav

fMRIPreprocessed Data, for Explore and Test Phases
/mnt/chrastil/lab/data/MLINDIV/preprocessed/derivatives/fmriprep

Behavioral Master Files [Preprocessed]
/mnt/chrastil/lab/data/MLINDIV/preprocessed/behavioral

Demographic Sheet Path https://docs.google.com/spreadsheets/d/1J9jIWIiQXy8IWexzsLpcWXQpbwTCktALMye1FJzGGHU/edit#gid=1289042439

Questionnaire Data https://docs.google.com/spreadsheets/d/1NW-OlWGSoPmdnbL-GfsHlD_wyTXPSIBxKtkEOBECjRQ/edit?usp=sharing