Cortical activity measured with fNIRS related to freezing of gait in Parkinsons disease.

This dataset includes the raw data of 22 participants with Parkinson's disease and self-reported daily freezing, and 22 control participants performing a gait task including 180 degree turns, passing through a narrow doorway, stopping, and starting. One participant with Parkinson's did not give permission to share research data and is excluded from this dataset.

Participants walked up and down a corridor, halfway passing through a narrow doorway frame (60 cm wide), and at the ends making 180° turns in a square taped on the floor (50 cm wide). At regular intervals, the participants were asked to stop and start walking again (see task_description.pdf).

fNIRS data was sampled with a multichannel fNIRS device (Artinis Medical Systems, 48 long and 16 short separation channels) bilaterally over the primary motor cortex, the premotor cortex, the supplementary motor cortex, the prefrontal cortex, and the posterior parietal cortex (see optode_layout.pdf).
The 3D positions of the optodes and anatomical landmarks were extracted from 3D scans of the participants' head (made with a Structure Sensor, Occipital).

Motion data was collected with a full-body motion capture system (Xsens) consisting of 17 IMUs. The data of this dataset consists of the (.mvnx) exported data from the MVN Awinda software (version 2020.0.1) and includes acceleration, angular velocity and magnetometer data of each sensor ('sensor'), as well as positions, orientations, or other time derivatives of all body parts ('segments'). Additionally, center of mass position ('COM'), joint angles ('joint'), and foot contact data ('footcontact') are shared.

The fNIRS and motion data was minimally processed (fNIRS data resampled from 50 to 60 Hz) and synchronized.

Events were either extracted from the motion data, annotated based on videos, or extracted from the stimulus presentation file generated during the experiment (see events.json).

本数据集包含22名自述存在日常步态冻结现象的帕金森病患者，以及22名健康对照参与者的原始实验数据，所有参与者均完成了包含180°转弯、穿过狭窄门道、停止与起步的步态任务。其中1名帕金森病患者未同意共享研究数据，已被排除出本数据集。
参与者在走廊内往复行走，中途需经过宽60cm的狭窄门框框架，并在地面贴有50cm见方正方形标记的端点处完成180°转弯。实验期间会按固定间隔要求参与者停止行走并再次起步（详见task_description.pdf）。
本研究采用多通道功能性近红外光谱（functional near-infrared spectroscopy, fNIRS）设备（Artinis Medical Systems，配备48个长距通道与16个短距分离通道），在双侧初级运动皮层、运动前区、补充运动区、前额叶皮层以及后顶叶皮层采集脑信号（详见optode_layout.pdf）。
使用Structure Sensor（Occipital公司出品）对参与者头部进行三维扫描，从中提取出光极（optodes）与解剖标志点的三维位置信息。
运动数据通过搭载17个惯性测量单元（inertial measurement unit, IMU）的全身运动捕捉系统（Xsens）采集。本数据集包含由MVN Awinda软件（版本2020.0.1）导出的.mvnx格式数据，内容涵盖各传感器的加速度、角速度与磁力计数据（对应'sensor'字段），以及所有身体部位的位置、姿态与其他时间导数信息（对应'segments'字段）。此外还共享了质心位置（'COM'）、关节角度（'joint'）与足部接触数据（'footcontact'）。
本数据集的fNIRS与运动数据仅经过最小化预处理（fNIRS数据已从50Hz重采样至60Hz）并完成同步对齐。
实验事件可通过运动数据提取、基于视频的人工标注，或是从实验期间生成的刺激呈现文件中获取（详见events.json）。

搜集汇总

背景与挑战

背景概述

该数据集包含帕金森病冻结步态相关的皮层活动测量数据，涉及22名帕金森病参与者和22名对照参与者执行步态任务。数据采集使用fNIRS设备覆盖多个脑区，并结合运动捕捉系统记录全身运动，数据经过同步和最小化处理，用于研究冻结步态的神经机制。