Mobile Brain-Body Imaging (MoBI) dual-tasking datasets (response inhibition while walking): Older 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)., , # Title of Dataset

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

## Description of the data and file structure

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

The data is organized as follows:

```

|-- 010705027
| |-- LSLData
| | |-- 010705027_1.mat
| | |-- 010705027_2.mat
| |-- Logfiles_Raw
| | |-- GoNoGo_010705027_1.txt
| | |-- GoNoGo_noTraining_010705027_2.txt
| | |-- mainExperScript_010705027_1.log
| | |-- mainExperScript_noTraining_010705027_2.log
| | |-- motion_state_010705027_1.txt
| | |-- motion_state_010705027_2.txt
| | |-- Training_GoNoGo_010705027.txt
| |-- Logfiles_Processed
| | |-- GoNoGo_010705027_processed.txt
| | |-- mainExperScript_010705027_processed.txt
| |-- EEGstruct_Raw
| | |-- 010705027.set
| | ...

传统观点认为，将行走与高认知负荷任务相结合，会导致步态和/或认知任务表现下降。然而近期研究表明，在青年人群队列中，当受试者完成Go/NoGo反应抑制任务时加入行走任务，多数参与者的表现反而有所提升。本研究旨在将上述先前发现推广至老年人群队列，以探究健康老年人是否同样能在双任务范式中获得表现提升。

移动脑体成像（Mobile Brain/Body Imaging, MoBI）被用于记录34名青年人和37名老年人在静坐或跑步机行走期间的脑电图（electroencephalographic, EEG）活动、三维（3D）步态运动学数据以及Go/NoGo任务的行为反应。研究发现，行走时的反应准确率提升（与年龄无关）与刺激响应延迟（相关系数r=0.44）以及感觉处理阶段额中央区与行走相关的脑电图振幅调制（相关系数r=0.47）显著相关……（原文此处截断）

本数据集采用移动脑体成像（MoBI）技术采集，包含三路同步记录的数据：
1. 脑电图（EEG）数据（设备：BioSemi Inc.，荷兰阿姆斯特丹）
2. 自定义Go/NoGo任务的行为反应数据（设备：Presentation，Neurobehavioral Systems Inc.，美国加利福尼亚州伯克利市）
3. 全身运动学数据（设备：OptiTrack，NaturalPoint, Inc.，美国俄勒冈州科瓦利斯市）。
为实现三路数据的时间同步采集，本研究使用了实验室流层（Lab Streaming Layer, LSL：https://labstreaminglayer.org/#/）技术。
本次公开的数据均为原始数据，仅行为相关日志文件同时提供原始版本与处理后版本（详细说明请参见README文件）。

# 数据集标题
移动脑体成像（MoBI）双任务数据集（行走时的反应抑制任务）：老年人群
## 数据与文件结构说明
本Drayd数据集包含多模态MoBI数据，采集自老年人群，受试者需同时完成1-back Go/NoGo反应抑制任务并在跑步机上行走。
数据组织形式如下：

|-- 010705027
| |-- LSLData
| | |-- 010705027_1.mat
| | |-- 010705027_2.mat
| |-- Logfiles_Raw
| | |-- GoNoGo_010705027_1.txt
| | |-- GoNoGo_noTraining_010705027_2.txt
| | |-- mainExperScript_010705027_1.log
| | |-- mainExperScript_noTraining_010705027_2.log
| | |-- motion_state_010705027_1.txt
| | |-- motion_state_010705027_2.txt
| | |-- Training_GoNoGo_010705027.txt
| |-- Logfiles_Processed
| | |-- GoNoGo_010705027_processed.txt
| | |-- mainExperScript_010705027_processed.txt
| |-- EEGstruct_Raw
| | |-- 010705027.set
| | ...