Results 291 to 300 of about 264,340 (333)

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, Plis, Vince, 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

Spatial–Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data

IEEE Transactions on Neural Networks and Learning Systems, 2023
Neuroimaging techniques have been widely adopted to detect the neurological brain structures and functions of the nervous system. As an effective noninvasive neuroimaging technique, functional magnetic resonance imaging (fMRI) has been extensively used ...
Rui Liu, Zhi-an Huang, Yao Hu, Zexuan Zhu, Ka-chun Wong, K. Tan   +5 more
semanticscholar   +1 more source

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

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 regional homogeneity (ReHo) analysis.
Wu, Xing, Wei, Shi, Yueshuang, Leng, Xianting, Sun, Tingting, Guan, Weihua, Liao, Xiaoyi, Wang   +6 more
openaire   +2 more sources

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