DOI: 10.57760/sciencedb.10872
title: Multimodal Neuroimaging Dataset of Healthy Controls
title: Multimodal Neuroimaging Dataset of Healthy Controls

description: This dataset is a part of a study investigating the differences in brain regions among healthy controls (HC), patients with Meige syndrome (MS), and patients with facial paralysis (FP), providing clues for understanding the neural mechanisms of Meige syndrome and facial paralysis. The dataset consists of 102 healthy controls. They were recruited from local communities, and they met the following inclusion criteria: no psychoses or neurological diseases, no abnormal brain lesions in conventional MRI examination, and right-handedness.This dataset consists of multimodal neuroimaging data from 102 right-handed Chinese healthy controls (65 females; age range: 3-84 years old, mean = 43.58, SD = 19.75). The brain images were acquired using a 3.0 Tesla scanner (GE MR 750) at the China-Japan Friendship Hospital. The multimodal imaging protocol included a set of MRI sequences of the high-resolution T1-weighted structural MRI (sMRI), resting-state functional MRI (fMRI), diffusion tensor imaging (DTI), and arterial spin labeling (ASL) MRI.We are releasing these data for both research and education training in human brain sciences. Specifically, to protect personal information, we applied the face masking toolkit to achieve privacy anonymization by blurring facial information while all the participants agreed to share their anonymized data to the public. To monitor the quality of all structural and functional images for each participant, we also employed mri_qc toolkit for generating reports on the data quality, which are included in the sharing. All data structures conform to the specification of BIDS data structure.
description: This dataset is a part of a study investigating the differences in brain regions among healthy controls (HC), patients with Meige syndrome (MS), and patients with facial paralysis (FP), providing clues for understanding the neural mechanisms of Meige syndrome and facial paralysis. The dataset consists of 102 healthy controls. They were recruited from local communities, and they met the following inclusion criteria: no psychoses or neurological diseases, no abnormal brain lesions in conventional MRI examination, and right-handedness.This dataset consists of multimodal neuroimaging data from 102 right-handed Chinese healthy controls (65 females; age range: 3-84 years old, mean = 43.58, SD = 19.75). The brain images were acquired using a 3.0 Tesla scanner (GE MR 750) at the China-Japan Friendship Hospital. The multimodal imaging protocol included a set of MRI sequences of the high-resolution T1-weighted structural MRI (sMRI), resting-state functional MRI (fMRI), diffusion tensor imaging (DTI), and arterial spin labeling (ASL) MRI.We are releasing these data for both research and education training in human brain sciences. Specifically, to protect personal information, we applied the face masking toolkit to achieve privacy anonymization by blurring facial information while all the participants agreed to share their anonymized data to the public. To monitor the quality of all structural and functional images for each participant, we also employed mri_qc toolkit for generating reports on the data quality, which are included in the sharing. All data structures conform to the specification of BIDS data structure.