Article

Evaluating denoising strategies in resting-state fMRI in traumatic brain injury (EpiBioS4Rx)

2021-12-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Resting-state functional MRI is increasingly used in the clinical setting and is now included in some diagnostic guidelines for severe brain injury patients. However, to ensure high-quality data, one should mitigate fMRI-related noise typical of this population. Therefore, we aimed to evaluate the ability of different preprocessing strategies to mitigate noise-related signal...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4517e04e-04f9-5156-b1e1-481276433952
DOI: 10.1101/2021.12.10.472139

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Evaluating denoising strategies in resting-state fMRI in traumatic brain injury (EpiBioS4Rx)DOI 10.1101/2021.12.10.472139Read

A multi-measure approach for assessing the performance of fMRI preprocessing strategies in resting-state functional connectivitySemantic proximity Read

Pitfalls and recommended strategies and metrics for suppressing motion artifacts in functional MRISemantic proximity Read

Lesion aware automated processing pipeline for multimodal neuroimaging stroke data and The Virtual Brain (TVB)Semantic proximity Read

A Practical Preprocessing Pipeline for Concurrent TMS-iEEG: Critical Steps and Methodological ConsiderationsSemantic proximity Read

Structural compromise in spiking cortex and connected networksSemantic proximity Read

Cortical source imaging of resting-state MEG with a high resolution atlas: An evaluation of methodsSemantic proximity Read

Neptune: a toolbox for spinal cord functional MRI data processing and quality assuranceSemantic proximity Read

Denoising diffusion weighted imaging data using convolutional neural networksSemantic proximity Read

Convolutional neural network MRI segmentation for fast and robust optimization of transcranial electrical current stimulation of the human brainSemantic proximity Read

<i>BundleCleaner</i> : Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography DataSemantic proximity Read

HAPPILEE: The Harvard Automated Processing Pipeline In Low Electrode Electroencephalography, a standardized software for low density EEG and ERP dataSemantic proximity Read

Automated Identification of Moderate-to-Severe Traumatic Brain Injury Lesions (AIMS-TBI) MICCAI 2024 ChallengeSemantic proximity Read