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pro vyhledávání: '"39"'
Publikováno v:
NeuroImage. 171:415-436
Estimates of functional connectivity derived from resting-state functional magnetic resonance imaging (rs-fMRI) are highly sensitive to artefacts caused by in-scanner head motion. This susceptibility has motivated the development of numerous denoisin
Publikováno v:
NeuroImage. 48:73-83
Smoothly varying and multiplicative intensity variations within MR images that are artifactual, can reduce the accuracy of automated brain segmentation. Fortunately, these can be corrected. Among existing correction approaches, the nonparametric non-
Autor:
Adam R. Aron, Anders M. Dale, Jody Goldstein, Russell A. Poldrack, Angela Rizk-Jackson, Sarah Sheldon, Diederick Stoffers, Jody Corey-Bloom, Joshua M. Kuperman
Publikováno v:
NeuroImage. 56(2)
The development of MRI measures as biomarkers for neurodegenerative disease could prove extremely valuable for the assessment of neuroprotective therapies. Much current research is aimed at developing such biomarkers for use in people who are gene-po
Autor:
Olivier Faugeras, Thomas Deneux
Publikováno v:
NeuroImage
NeuroImage, 2006, 32 (4), pp.1669-1689. ⟨10.1016/j.neuroimage.2006.03.006⟩
NeuroImage, 2006, 32 (4), pp.1669-1689. ⟨10.1016/j.neuroimage.2006.03.006⟩
International audience; There is an increasing interest in using physiologically plausible models in fMRI analysis. These models do raise new mathematical problems in terms of parameter estimation and interpretation of the measured data. In this pape
Publikováno v:
Europe PubMed Central
The reactivity of the prefrontal cortex (PFC) was studied by measuring electroencephalographic (EEG) responses to transcranial magnetic stimulation (TMS) with different stimulus intensities. Focal TMS at intensities of 60%, 80%, 100%, and 120% of the