Results 11 to 20 of about 264,340 (333)

Network Connectivity in Epilepsy: Resting State fMRI and EEG-fMRI Contributions. [PDF]

Frontiers in Neurology, 2014
There is a growing body of evidence pointing toward large-scale networks underlying the core phenomena in epilepsy, from seizure generation to cognitive dysfunction or response to treatment.
Carmichael, DW, Centeno, M
core   +7 more sources

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, D. Vidaurre, C. Beckmann, M. Glasser, M. Jenkinson, K. Miller, Thomas E. Nichols, E. Robinson, G. Salimi-Khorshidi, M. Woolrich, D. Barch, K. Uğurbil, D. C. Essen   +12 more
semanticscholar   +5 more sources

Predicting phenotypes of elderly from resting state fMRI [PDF]

, 2023
Abstract Machine learning techniques are increasingly embraced in neuroimaging studies of healthy and diseased human brains. They have been used successfully in predicting phenotypes, or even clinical outcomes, and in turning functional connectome metrics into phenotype biomarkers of both healthy individuals and patients. In this study, we used
Barbara Verovnik, Stefan Hajduk, Marc M. Van Hulle   +2 more
openalex   +3 more sources

Vigilance Effects in Resting-State fMRI [PDF]

Frontiers in Neuroscience, 2020
Measures of resting-state functional magnetic resonance imaging (rsfMRI) activity have been shown to be sensitive to cognitive function and disease state. However, there is growing evidence that variations in vigilance can lead to pronounced and spatially widespread differences in resting-state brain activity. Unless properly accounted for, differences
Thomas T. Liu, Thomas T. Liu, Maryam Falahpour   +2 more
openaire   +3 more sources

Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks

The Neuroradiology Journal, 2017
The inquisitiveness about what happens in the brain has been there since the beginning of humankind. Functional magnetic resonance imaging is a prominent tool which helps in the non-invasive examination, localisation as well as lateralisation of brain functions such as language, memory, etc.
K. Smitha, K. Akhil Raja, Arun Karumattu Manattu, P. Rajesh, B. Thomas, TR Kapilamoorthy, C. Kesavadas   +6 more
semanticscholar   +4 more sources

A DCM for resting state fMRI

NeuroImage, 2014
This technical note introduces a dynamic causal model (DCM) for resting state fMRI time series based upon observed functional connectivity--as measured by the cross spectra among different brain regions. This DCM is based upon a deterministic model that generates predicted crossed spectra from a biophysically plausible model of coupled neuronal ...
Karl J. Friston, J. Kahan, B. Biswal, Adeel Razi   +3 more
semanticscholar   +4 more sources

Resting-state fMRI studies in epilepsy [PDF]

Neuroscience Bulletin, 2012
Epilepsy is a disease characterized by abnormal spontaneous activity in the brain. Resting-state functional magnetic resonance imaging (RS-fMRI) is a powerful technique for exploring this activity. With good spatial and temporal resolution, RS-fMRI is a promising approach for accurate localization of the focus of seizure activity. Although simultaneous
, Wurina, Yu-Feng, Zang, Shi-Gang, Zhao
openaire   +2 more sources

Phenotyping Superagers Using Resting-State fMRI

American Journal of Neuroradiology, 2023
Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed to investigate the key differences in discriminative networks and their main nodes between superagers and cognitively average elderly controls.
de Godoy, L.L., Studart-Neto, A., de Paula, D.R., Green, N., Halder, A., Arantes, P., Chaim, K.T., Moraes, N.C., Yassuda, M.S., Nitrini, R., Dresler, M., Dresler, M., da Costa Leite, C., Panovska-Griffiths, J., Soddu, A., Bisdas, S.   +15 more
openaire   +4 more sources

Resting-State fMRI in Studies of Acupuncture [PDF]

Evidence-Based Complementary and Alternative Medicine, 2021
Research exploring the mechanism of acupuncture has been a hot topic in medicine. Resting-state functional magnetic resonance imaging (rs-fMRI) research is a noninvasive and extensive method, which is aimed at the research of the mechanism of acupuncture. Researchers use fMRI technologies to inspect the acupuncture process.
Xiaoling Li, Lina Cai, Xiaoxu Jiang, Xiaohui Liu, Jingxian Wang, Tiansong Yang, Feng Wang   +6 more
openaire   +2 more sources

Connectopic mapping with resting-state fMRI [PDF]

NeuroImage, 2018
Brain regions are often topographically connected: nearby locations within one brain area connect with nearby locations in another area. Mapping these connection topographies, or 'connectopies' in short, is crucial for understanding how information is processed in the brain.
Haak, K.V., Haak, K.V., Marquand, A.F., Marquand, A.F., Beckmann, C.F., Beckmann, C.F.   +5 more
openaire   +6 more sources