Results 271 to 280 of about 72,622 (298)

Deep learning in resting-state fMRI

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Modeling the rich, dynamic spatiotemporal variations captured by human brain functional magnetic resonance imaging (fMRI) data is a complicated task. Analysis at the brain's regional and connection levels provides more straightforward biological interpretation for fMRI data and has been instrumental in characterizing the brain thus far.
Anees Abrol, Reihaneh Hassanzadeh, Sergey M. Plis, Vince D. Calhoun   +3 more
openaire   +2 more sources

Resting State fMRI in Rodents

Current Protocols in Neuroscience, 2018
AbstractResting state functional MRI (fMRI) and functional connectivity are widely applied in humans to examine the role of brain networks in normal function and dysfunction. A similar approach can be taken in rodents, either to obtain translational measures in models of brain disorders or to more carefully examine the neurophysiological underpinnings ...
Wen-Ju, Pan, Jacob, Billings, Maysam, Nezafati, Anzar, Abbas, Shella, Keilholz   +4 more
openaire   +2 more sources

Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods

Neuroinformatics, 2013
The multi-scan resting state fMRI (rs-fMRI) dataset was recently released; thus the test-retest (TRT) reliability of rs-fMRI measures can be assessed. However, because this dataset was acquired only from a single group under a single condition, we cannot
Dong-Qiang Liu, Xi-Nian Zuo, Yu-Feng Zang   +2 more
exaly   +1 more source

Functional connectomics from resting-state fMRI [PDF]

Trends in Cognitive Sciences, 2013
Spontaneous fluctuations in activity in different parts of the brain can be used to study functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the purpose of mapping the macroscopic functional connectome. After describing MRI acquisition and image-processing methods commonly used to generate data in a form amenable ...
Stephen M Smith, Diego Vidaurre, Christian F Beckmann   +2 more
exaly   +5 more sources

A NIRS–fMRI study of resting state network

NeuroImage, 2012
Resting state functional connectivity, which is defined as temporal correlation of spontaneous activity between diverse brain regions, has been reported to form resting state networks (RSNs), consisting of a specific set of brain regions, based on functional magnetic resonance imaging (fMRI).
Shuntaro Sasai, Fumitaka Homae, Hama Watanabe   +2 more
exaly   +3 more sources

Research progress on resting state fMRI of epilepsy

Brain and Development, 2012
As a study method of resting state network (RSN), resting state functional MRI (rfMRI) can be applied to detect low frequency fluctuate (LFF) in various cerebral areas based on resting state blood oxygen level dependence (BOLD) signals; and it is easier and more consistent than task-related fMRI.
Peng-Fei, Qiao, Pei-Yi, Gao, Jian-Ping, Dai, Guang-Ming, Niu   +3 more
openaire   +2 more sources

Presurgical Resting-State fMRI

2014
Purpose: Task-based fMRI has traditionally been used to locate eloquent regions of the brain that are relevant to specific cognitive tasks. These locations have, in turn, been used successfully to inform surgical planning. Resting-state functional MRI (fMRI) uses alternative methods to find networks, but does not require any task performance by a ...
Monica G. Allen, Abraham Z. Snyder, Carl D. Hacker, Timothy J. Mitchell, Eric C. Leuthardt, Joshua S. Shimony   +5 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

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, L. Rodney Long, Sameer K. Antani   +4 more
openaire   +2 more sources

Resting-state fMRI in primary Sjögren syndrome

Acta Radiologica, 2018
Background The involvement of the central nervous system in primary Sjögren syndrome (pSS) remains controversial. Functional magnetic resonance imaging (fMRI) is a relatively new method that can be applied to investigate the heterogeneity of central nervous system (CNS) involvement in pSS patients through ...
Wu, Xing, Wei, Shi, Yueshuang, Leng, Xianting, Sun, Tingting, Guan, Weihua, Liao, Xiaoyi, Wang   +6 more
openaire   +2 more sources