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Data · dataset · 2023

Multimodal Neuroimaging Dataset of Facial Paralysis

Listed in ScienceDB

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.

Description

The dataset consists of 53 FP patients. They were recruited from the Department of Neurosurgery at China-Japan Friendship Hospital.

The inclusion criteria for FP patients were adult unilateral idiopathic peripheral FP patients diagnosed by clinicians, no other craniocerebral lesions or psychiatric diseases, and right-handedness.This dataset consists of multimodal neuroimaging data from 53 right-handed FS patients (35 females; 7-85 years old, mean = 43.60, SD = 16.20). The brain images were acquired using a 3.0 Tesla scanner (GE MR 750) at the China-Japan Friendship Hospital.

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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.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65% · Imaging 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.1079610 d agoJSON v1
FieldAssertionExtractorEvidence
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