Mobile Brain-Body Imaging (MoBI) dual-tasking datasets (response inhibition while walking): Young adults

Combining walking with a demanding cognitive task is traditionally expected to elicit decrements in gait and/or cognitive task performance. However, it was recently shown that, in a cohort of young adults, most participants improved performance when walking was added to performance of a Go/NoGo response inhibition task. The present study aims to extend these previous findings to an older adult cohort, to investigate whether this improvement when dual-tasking is observed in healthy older adults. Mobile Brain/Body Imaging (MoBI) was used to record electroencephalographic (EEG) activity, three-dimensional (3D) gait kinematics and behavioral responses in the Go/NoGo task, during sitting or walking on a treadmill, in 34 young adults and 37 older adults. Increased response accuracy during walking, independent of age, was found to correlate with slower responses to stimuli (r = 0.44) and with walking-related EEG amplitude modulations over frontocentral regions (r = 0.47) during the sensory gat..., This dataset was collected using the Mobile Brain-Body Imaging modality, involving synchronous recordings of 3 data streams:
1) EEG (BioSemi Inc., Amsterdam, The Netherlands)
2) Behavioral responses to the designed Go/NoGo task (Presentation, Neurobehavioral Systems Inc., Berkeley, CA, USA)
3) Full-body kinematics (OptiTrack, NaturalPoint, Inc., Corvallis, OR, USA).
To record these 3 data streams in a time-synchronized manner, the Lab Streaming Layer (LSL: https://labstreaminglayer.org/#/) was used. 
The data included are raw, except for the behavior-related logfiles, for which both raw and processed versions are provided (see README file for details)., The .mat files in the \"LSLData\" subfolders require MATLAB (MathWorks Inc., Natick, MA, USA) to open. An open-source alternative to open them is using Python (see https://www.askpython.com/python/examples/mat-files-in-python) 
The .set and .fdt files in the \"EEGstruct_Raw\" subfolders require EEGLAB, which is an open-source MATLAB toolbox for electrophysiological signal processing and analysis (https://sccn.ucsd.edu/eeglab/index.php). Alternatively, they can be opened using MNE, which is an open-source MATLAB toolbox for electrophysiological signal processing and analysis (https://mne.tools/dev/generated/mne.io.read_raw_eeglab.html).
The .txt and .log files in the \"Logiles_Raw\" and \"Logfiles_Processed\" subfolders can be opened using any text editor. 
The metadata.xlsx file can be opened using Microsoft Excel. Alternatively, LibreOffice (https://www.libreoffice.org/), which is free and open-source, can be used. , # Title of Dataset

Mobile Brain-Body Imaging (MoBI) dual-tasking datasets (response inhibition while walking): Young adults

## Description of the data and file structure

This Drayd dataset contains multimodal MoBI data, collected from young adults while performing the 1-back Go/NoGo response inhibition task and concurrently walking on a treadmill.

The data is organized as follows:

```

|-- 010705001
| |-- LSLData
| | |-- 010705001.mat
| |-- Logfiles_Raw
| | |-- GoNoGo_010705001.txt
| | |-- mainExperScript_010705001.log
| | |-- motion_state_010705001.txt
| | |-- Training_GoNoGo_010705001.txt
| |-- Logfiles_Processed
| | |-- GoNoGo_010705001_processed.txt
| | |-- mainExperScript_010705001_processed.txt
| |-- EEGstruct_Raw
| | |-- 010705001.set
| | |-- 010705001.fdt
|-- 010705002
| |-- LSLData
| | |-- 010705002.mat
| |-- Logfiles_Raw
| | |-- GoNoGo_010705002.txt
| | |-- mainExperScript_010705002.log
| |...