2-back task in split-belt adaptation

All Usage Notes can be found in the README.txt file uploaded.

DATA OVERVIEW

Raw data (1. and 2.) is located in the "data" folder.

1. Motor data:

a. File List:

• YAST_MOTOR.mat : motor data for YASingle group
• YADT_MOTOR.mat : motor data for YADual group
• OAST_MOTOR.mat : motor data for OASingle group
• OADT_MOTOR.mat : motor data for OADual group

b. File Description: Each file contains the following kinematic measures (further description is provided in the manuscript):

• DSF: double support time of the fast leg
• DSS: double support time of the slow leg
• FSL: step length of the fast leg
• SSL: step length of the slow leg
• LEF: limb excursion of the fast leg
• LES: limb excursion of the slow leg

Each of the kinematic variables is a 10x10000x7 matrix, where each row contains data for one subject, each of the 7 3rd dimensions contains data for a separate phase of the experiment (baseline, adaptation, 4x washout blocks, readaptation), and each column contains data for one stride (padded with nans at the end). 
Each file also contains a DT dummy variable, structured in the same way as the kinematic variables, that is 1 for strides when the participant was dual-tasking, and 0 for other trials.

2. Cognitive data:

a. File List:

• YADT_COGNITIVE.mat : n-back task data for YADual group
• OADT_COGNITIVE.mat : n-back task data for OADual group
• OADN_COGNITIVE.mat : n-back task data for OADualNoise group

b. File Description: Each file contains the following variables:

• groupScoreArray: contains response accuracy to the n-back task, where 1 is a correct response (press stimuli), 0 is a correct omission (do not press), -1 is an incorrect response (do not press), -2 is an incorrect omission (press)
• groupTimeArray: contains reaction time in seconds for responses
• Each variable is a struct with fields:
• "walk": a 125x10 matrix containing data from the baseline task
• "adapt": a 250x10 matrix containing data from the adaptation task
• in both matrices, each column is a subject and each row is a letter stimuli

3. Data generated using scripts below (not the original dataset; it is provided here as it takes a while to generate and it is needed to plot figures, but it can be generated de novo with the scripts and data provided here).

a. Bootstrapped data: Provided in a zipped folder "bootstraps.zip", it must be unzipped before running figures code. 

b. Statistics: Provided in a zipped folder "statistics.zip", it must be unzipped before running figures code.  

SCRIPTS OVERVIEW

All scripts are in MATLAB (.m extension).

1. Bootstraps:

• bootstrap_subjects: creates 10000 samples of 10 subjects, which will be used by the other boostrap scripts
• bootstrap_motor: bootstraps 10000 samples of bins for step length asymmetry, limb excursion asymmetry, double support asymmetry
• bootstrap_cognitive: bootstraps 10000 samples of logistic fits of error rate to press and do not press stimuli of the n-back task, and linear fits of reaction time
• boostrap_doubleexp: bootstraps 1000 samples of double exponential fits to step length asymmetry in adaptation and readaptation 

2. Statistics:

• statistics_motor: computes confidence intervals related to the motor data (step length asymmetry, limb excursion asymmetry, double support asymmetry)
• statistics_cognitive: computes confidence intervals related to the cognitive data (error rate with press and do not press stimuli, and reaction time)
• statistics_doubleexp: computes confidence intervals related to the double exponential fits of adaptation and readaptation step length asymmetry

3. Figures:

• figure_2_5_6: creates figures 2, 5 and 6
• figure_3_7: creates figures 3 and 7
• figure_4_8: creates figures 4 and 8
• supfigure1: creates supplementary figure 1
• supfigure2: creates supplementary figure 2
• supfigure3: creates supplementary figure 3
• createallfigures: run this script to make figures 2 through 8 and suppl. figures 1 and 2

4. Helper functions:

•     bssem: computes bootstrap standard error
•     sem: computes standard error
•     computeCI: computes confidence interval
•     ccc: clears workspace and figures
•     filldata, getaxis, getaxpos, getcolors, plotsproperties, setnox, setnoy: helper functions for figure-making

Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: K12 HD055929

Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: R03 HD104217

Funding provided by: Magistro Family Foundation*
Crossref Funder Registry ID:
Award Number: research grant

Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: 5 R37 NS090610

Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: R21 AG059184

Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: R56 NS100528

Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: R2 1NS120274

Funding provided by: American Heart Association
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000968
Award Number: predoctoral fellowship