Mobile Brain-Body Imaging (MoBI) dual-tasking datasets (response inhibition while walking): Increased cognitive load

This study elucidates the neural mechanisms underlying increasing cognitive load while walking by employing 2 versions of a response inhibition task, the ‘1-back’ version and the more cognitively demanding ‘2-back’ version. By using the Mobile Brain/Body Imaging (MoBI) modality, electroencephalographic (EEG) activity, three-dimensional (3D) gait kinematics and task-related behavioral responses were collected while young adults (n = 61) performed either the 1-back or 2-back response inhibition task. Interestingly, increasing inhibitory difficulty from 1-back to 2-back during walking was not associated with any detectable costs in response accuracy, response speed, or gait consistency. However, the more difficult cognitive task was associated with distinct EEG component changes during both successful inhibitions (correct rejections) and successful executions (hits) of the motor response. During correct rejections, ERP changes were found over frontal regions, during latencies related to se..., 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)., , # Title of Dataset

Mobile Brain-Body Imaging (MoBI) dual-tasking datasets (response inhibition while walking): Increased cognitive load

## Description of the data and file structure

This Drayd dataset contains multimodal MoBI data, collected from young adults while performing the 2-back Go/NoGo response inhibition task and concurrently walking on a treadmill.

The data is organized as follows:

```

|-- 010705001
| |-- LSLData
| | |-- 010705001_1.mat
| | |-- 010705001_2.mat
| |-- Logfiles_Raw
| | |-- GoNoGo_010705001_1.txt
| | |-- GoNoGo_010705001_2.txt
| | |-- mainExperScript_010705001_1.txt
| | |-- mainExperScript_010705001_2.txt
| | |-- motion_state_010705001_1.txt
| | |-- motion_state_010705001_2.txt
| | |-- Training_GoNoGo_010705001_1.txt
| | |-- Training_GoNoGo_010705001_2.txt
| |-- Logfiles_Processed
| | |-- GoNoGo_010705001_processed.txt
| | |-- mainExperScript_010705001_processed.txt
| |-- EEGstruct_Raw...