Results 341 to 350 of about 270,788 (377)

Atlas-Based Labeling of Resting-State fMRI

Brain Connectivity
Background: Functional magnetic resonance imaging (fMRI) has the potential to provide noninvasive functional mapping of the brain with high spatial and temporal resolution. However, fMRI independent components (ICs) must be manually inspected, selected, and interpreted, requiring time and expertise. We propose a novel approach for automated labeling of
Hrishikesh Kambli, Alberto Santamaria-Pang, Ivan Tarapov, Elham Beheshtian, Licia P. Luna, Haris Sair, Craig Jones   +6 more
openaire   +2 more sources

Resting-State fMRI: Preclinical Foundations

2020
This chapter introduces a neuroimaging approach that has become popular among scientists over the last decade and that now is starting to attain clinical uses. The technique is called resting-state functional connectivity (RSFC), and it typically utilizes functional magnetic resonance imaging (fMRI) scans collected from subjects at rest (i.e., doing ...
openaire   +1 more source

Tracking whole-brain connectivity dynamics in the resting-state fMRI with post-facial paralysis synkinesis

Brain Research Bulletin, 2021
Zhen-zhen Ma, Jia-Jia Wu, Xu-Yun Hua, Mouxiong Zheng, Xiang-Xin Xing, Si-si Li, Chunlei Shan, Wei Ding, Jianguang Xu   +8 more
semanticscholar   +1 more source

Spatio-Functional Parcellation of Resting State fMRI

2024 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
Resting state functional Magnetic Resonance Imaging (rs-fMRI) is used to obtain spontaneous activation within the human brain in the absence of specific tasks. Analysis of the rs-fMRI data required spatially and functionally homogenous parcellation of the whole brain based on underlying temporal fluctuations.
Harshit, Parmar, Brian, Nutter, Sunanda, Mitra, Rodney, Long, Sameer, Antani   +4 more
openaire   +2 more sources

Measuring Temporal Dynamics of Resting-state fMRI Data

Bio-Medical Materials and Engineering, 2014
Resting state functional MRI (rs-fMRI), which is used to measure blood oxygen level-dependent (BOLD) from resting brains, is a relatively new and powerful method for evaluating regional interactions that occur when a participant is not performing an explicit task.
Lianghua, He, Die, Hu, Meng, Wan, Ying, Wen   +3 more
openaire   +2 more sources

Resting-State fMRI in Multiple Sclerosis

2020
In multiple sclerosis (MS), improvements of structural magnetic resonance imaging (MRI) techniques have offered the possibility to identify and grade the extent of central nervous system (CNS) damage at different stages of the disease, contributing to improve the understanding of the mechanisms responsible for the accumulation of irreversible ...
Rocca, Maria A., De Meo, Ermelinda, Filippi, Massimo   +2 more
openaire   +1 more source

Changes in resting-state fMRI in vestibular neuritis

Brain Structure and Function, 2013
Vestibular neuritis (VN) is a sudden peripheral unilateral vestibular failure with often persistent head movement-related dizziness and unsteadiness. Compensation of asymmetrical activity in the primary peripheral vestibular afferents is accomplished by restoration of impaired brainstem vestibulo-ocular and vestibulo-spinal reflexes, but presumably ...
Christoph, Helmchen, Zheng, Ye, Andreas, Sprenger, Thomas F, Münte   +3 more
openaire   +2 more sources

RTHbeta resting-state fMRI

This project contains resting-state fMRI data of subjects with RTHbeta and healthy controls.
openaire   +1 more source

Presurgical Resting-State fMRI

2021
Joshua S. Shimony, John J. Lee, Benjamin A. Seitzman, Patrick Luckett, Eric C. Leuthardt   +4 more
openaire   +1 more source

A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

Journal of medical systems, 2019
Farheen Ramzan, Muhammad Usman Ghani Khan, Muhammad Asim Rehmat, S. Iqbal, T. Saba, A. Rehman, Zahid Mehmood   +6 more
semanticscholar   +1 more source