Results 21 to 30 of about 996,481 (256)

Effects of Physiological Signal Removal on Resting-State Functional MRI Metrics

Brain Sciences, 2022
Resting-state fMRIs (rs-fMRIs) have been widely used for investigation of diverse brain functions, including brain cognition. The rs-fMRI has easily elucidated rs-fMRI metrics, such as the fractional amplitude of low-frequency fluctuation (fALFF ...
Uk-Su Choi, Yul-Wan Sung, Seiji Ogawa
doaj   +1 more source

Mapping language function with task-based vs. resting-state functional MRI.

PLoS ONE, 2020
BackgroundUse of functional MRI (fMRI) in pre-surgical planning is a non-invasive method for pre-operative functional mapping for patients with brain tumors, especially tumors located near eloquent cortex.
Ki Yun Park, John J Lee, Donna Dierker, Laura M Marple, Carl D Hacker, Jarod L Roland, Daniel S Marcus, Mikhail Milchenko, Michelle M Miller-Thomas, Tammie L Benzinger, Joshua S Shimony, Abraham Z Snyder, Eric C Leuthardt   +12 more
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Sensitivity of Derived Clinical Biomarkers to rs-fMRI Preprocessing Software Versions [PDF]

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019
When common software packages (CONN and SPM) are used to process fMRI, results such as functional connectivity measures can substantially differ depending on the versions of the packages used and the tools used to convert image formats such as DICOM to NIFTI.
Kevin P. Nguyen, Cherise R. Chin Fatt, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo   +4 more
openaire   +2 more sources

Independent component analysis of interictal fMRI in focal epilepsy: comparison with general linear model-based EEG-correlated fMRI [PDF]

, 2007
The general linear model (GLM) has been used to analyze simultaneous EEG–fMRI to reveal BOLD changes linked to interictal epileptic discharges (IED) identified on scalp EEG. This approach is ineffective when IED are not evident in the EEG.
Lemieux, L., de Martino, F.; id_orcid, De Martino, F., Formisano, E., Duncan, J.S., Laufs, H., Rodionov, R., Carmichael, D.W., Walker, M., Formisano, E.; id_orcid   +9 more
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Mapping of the Language Network With Deep Learning

Frontiers in Neurology, 2020
Background: Pre-surgical functional localization of eloquent cortex with task-based functional MRI (T-fMRI) is part of the current standard of care prior to resection of brain tumors.
Patrick Luckett, John J. Lee, Ki Yun Park, Donna Dierker, Andy G. S. Daniel, Benjamin A. Seitzman, Carl D. Hacker, Beau M. Ances, Eric C. Leuthardt, Eric C. Leuthardt, Abraham Z. Snyder, Abraham Z. Snyder, Joshua S. Shimony   +12 more
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A Tensor-Based Framework for rs-fMRI Classification and Functional Connectivity Construction [PDF]

Frontiers in Neuroinformatics, 2020
Recently, machine learning methods have gained lots of attention from researchers seeking to analyze brain images such as Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) to obtain a deeper understanding of the brain and such related diseases, for example, Alzheimer's disease.
Ali Noroozi, Mansoor Rezghi
openaire   +4 more sources

Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools [PDF]

, 2011
Primate multisensory object perception involves distributed brain regions. To investigate the network character of these regions of the human brain, we applied data-driven group spatial independent component analysis (ICA) to a functional magnetic ...
van den Bosch, Jasper J F, Wolf Singer, van den Bosch, J.J.F., Kohler, A., Kaiser, J., Kaiser, Jochen, Ven, Vincent van de, Marcus J. Naumer, Bosch, Jasper J. F. van den, van de Ven, Vincent, Lars Muckli, Muckli, L., Kohler, Axel, Singer, Wolf, Axel Kohler, Jochen Kaiser, Naumer, M.J., van den Bosch, J., Muckli, Lars, Wibral, M., Wibral, Michael, Michael Wibral, Jasper J. F. van den Bosch, Naumer, Marcus Johannes, Vincent van de Ven, Naumer, Marcus J, van de Ven, V., Singer, W., Muckli, L, van, de Ven V, Naumer, MJ, Wibral, M, van den Bosch, Jasper JF; id_orcid, Kohler, A   +33 more
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Why is Clinical fMRI in a Resting State?

Frontiers in Neurology, 2019
While resting state fMRI (rs-fMRI) has gained widespread application in neuroimaging clinical research, its penetration into clinical medicine has been more limited.
Erin E. O'Connor, Thomas A. Zeffiro
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Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising

NeuroImage, 2022
Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive functional neuroimaging modality that has been widely used to investigate functional connectomes in the brain.
Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam   +6 more
doaj   +1 more source

Continuous EEG source imaging enhances analysis of EEG-fMRI in focal epilepsy [PDF]

, 2010
Introduction: EEG-correlated fMRI (EEG-fMRI) studies can reveal haemodynamic changes associated with Interictal Epileptic Discharges (IED). Methodological improvements are needed to increase sensitivity and specificity for localising the epileptogenic ...
Lemieux, L., Michel, C. M., Guye, M., Rodionov, R., Thornton, R., Vulliemoz, Serge, Carmichael, D. W., Lhatoo, S. D., Michel, Christoph, Duncan, J.S., Michel, C.M., Carmichael, D.W., Lhatoo, S.D., Guye, Maxime, Vulliemoz, S., Duncan, J. S.   +15 more
core   +1 more source